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Suno. Spotify on Thursday announced it has partnered with Universal Music Group (UMG) to allow fans to use generative AI technology to create covers and remixes of their favorite songs. The tool will launch as a paid add-on available only to Spotify’s Premium subscribers and will offer a revenue share with participating artists for the AI-generated music based on their work.

The company did not share pricing or a launch date for the new tool, only that the two companies had come to a licensing agreement. However, Spotify had teased its plans last year, noting that it was working with Universal Music Group, Sony Music Group, Warner Music Group, Merlin, and Believe to develop artist-first AI products.

The AI tools would be created through “upfront agreements, not by asking for forgiveness later,” Spotify said at the time, an obvious swipe at other players in the space, like Suno.

Among the principles Spotify outlined: artists and rightsholders should be able to choose if and how they participate in AI tools, and if they do, they should be fairly compensated.

“Solving hard problems for music is what Spotify does, and fan-made covers and remixes are next. What we’re building is grounded in consent, credit, and compensation for the artists and songwriters that take part,” said Spotify co-CEO Alex Norström, in a statement about the UMG agreement. “Through each technological transformation, we have worked together with Sir Lucian [Chairman & CEO, Universal Music Group] and his team to evolve the music ecosystem into a richer, more beneficial experience for fans and a more rewarding outcome for artists and songwriters.”

UMG Chairman and CEO Sir Lucian Grainge, meanwhile, touted the development as a way for artists to deepen their fan relationships while also creating additional revenue opportunities. There’s no word yet on which UMG artists have agreed to participate.

While services like Suno and Udio have been pioneers in the AI music space, they moved forward on shaky legal ground when building their AI music-making tools. Unsurprisingly, the major labels quickly sued. In November, Suno ended up settling a $500 million lawsuit with Warner Music Group, which came shortly after Universal Music Group (UMG) had settled its own suit with Udio.

Today, Suno is still facing copyright claims from UMG and Sony Music, among others. Udio, meanwhile, has settled with Warner Music and UMG, but is still working to settle with Sony.

Seeing demand for this type of activity from consumers, Spotify went straight to the labels for a deal of its own. UMG may be the first of many label partnerships to come, though the company didn’t outright say so.

The news was shared amid a slew of Investor Day announcements from Spotify on Thursday, which also included an AI-powered audiobook creation tool, AI-powered features for podcasters, a desktop app to produce personal podcasts via AI, and reserved concert tickets for top fans.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Spotify #Universal #Music #strike #deal #allowing #fanmade #covers #remixes #TechCrunchSpotify,AI,ai music,universal music group"> Spotify and Universal Music strike deal allowing fan-made AI covers and remixes | TechCrunch
Watch out, Suno. Spotify on Thursday announced it has partnered with Universal Music Group (UMG) to allow fans to use generative AI technology to create covers and remixes of their favorite songs. The tool will launch as a paid add-on available only to Spotify’s Premium subscribers and will offer a revenue share with participating artists for the AI-generated music based on their work.

The company did not share pricing or a launch date for the new tool, only that the two companies had come to a licensing agreement. However, Spotify had teased its plans last year, noting that it was working with Universal Music Group, Sony Music Group, Warner Music Group, Merlin, and Believe to develop artist-first AI products.







The AI tools would be created through “upfront agreements, not by asking for forgiveness later,” Spotify said at the time, an obvious swipe at other players in the space, like Suno.

Among the principles Spotify outlined: artists and rightsholders should be able to choose if and how they participate in AI tools, and if they do, they should be fairly compensated.

“Solving hard problems for music is what Spotify does, and fan-made covers and remixes are next. What we’re building is grounded in consent, credit, and compensation for the artists and songwriters that take part,” said Spotify co-CEO Alex Norström, in a statement about the UMG agreement. “Through each technological transformation, we have worked together with Sir Lucian [Chairman & CEO, Universal Music Group] and his team to evolve the music ecosystem into a richer, more beneficial experience for fans and a more rewarding outcome for artists and songwriters.” 

UMG Chairman and CEO Sir Lucian Grainge, meanwhile, touted the development as a way for artists to deepen their fan relationships while also creating additional revenue opportunities. There’s no word yet on which UMG artists have agreed to participate.

While services like Suno and Udio have been pioneers in the AI music space, they moved forward on shaky legal ground when building their AI music-making tools. Unsurprisingly, the major labels quickly sued. In November, Suno ended up settling a 0 million lawsuit with Warner Music Group, which came shortly after Universal Music Group (UMG) had settled its own suit with Udio.


Today, Suno is still facing copyright claims from UMG and Sony Music, among others. Udio, meanwhile, has settled with Warner Music and UMG, but is still working to settle with Sony.

Seeing demand for this type of activity from consumers, Spotify went straight to the labels for a deal of its own. UMG may be the first of many label partnerships to come, though the company didn’t outright say so.

The news was shared amid a slew of Investor Day announcements from Spotify on Thursday, which also included an AI-powered audiobook creation tool, AI-powered features for podcasters, a desktop app to produce personal podcasts via AI, and reserved concert tickets for top fans.










When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Spotify #Universal #Music #strike #deal #allowing #fanmade #covers #remixes #TechCrunchSpotify,AI,ai music,universal music group
Tech-news

Suno. Spotify on Thursday announced it has partnered with Universal Music Group (UMG) to allow fans to use generative AI technology to create covers and remixes of their favorite songs. The tool will launch as a paid add-on available only to Spotify’s Premium subscribers and will offer a revenue share with participating artists for the AI-generated music based on their work.

The company did not share pricing or a launch date for the new tool, only that the two companies had come to a licensing agreement. However, Spotify had teased its plans last year, noting that it was working with Universal Music Group, Sony Music Group, Warner Music Group, Merlin, and Believe to develop artist-first AI products.

The AI tools would be created through “upfront agreements, not by asking for forgiveness later,” Spotify said at the time, an obvious swipe at other players in the space, like Suno.

Among the principles Spotify outlined: artists and rightsholders should be able to choose if and how they participate in AI tools, and if they do, they should be fairly compensated.

“Solving hard problems for music is what Spotify does, and fan-made covers and remixes are next. What we’re building is grounded in consent, credit, and compensation for the artists and songwriters that take part,” said Spotify co-CEO Alex Norström, in a statement about the UMG agreement. “Through each technological transformation, we have worked together with Sir Lucian [Chairman & CEO, Universal Music Group] and his team to evolve the music ecosystem into a richer, more beneficial experience for fans and a more rewarding outcome for artists and songwriters.”

UMG Chairman and CEO Sir Lucian Grainge, meanwhile, touted the development as a way for artists to deepen their fan relationships while also creating additional revenue opportunities. There’s no word yet on which UMG artists have agreed to participate.

While services like Suno and Udio have been pioneers in the AI music space, they moved forward on shaky legal ground when building their AI music-making tools. Unsurprisingly, the major labels quickly sued. In November, Suno ended up settling a $500 million lawsuit with Warner Music Group, which came shortly after Universal Music Group (UMG) had settled its own suit with Udio.

Today, Suno is still facing copyright claims from UMG and Sony Music, among others. Udio, meanwhile, has settled with Warner Music and UMG, but is still working to settle with Sony.

Seeing demand for this type of activity from consumers, Spotify went straight to the labels for a deal of its own. UMG may be the first of many label partnerships to come, though the company didn’t outright say so.

The news was shared amid a slew of Investor Day announcements from Spotify on Thursday, which also included an AI-powered audiobook creation tool, AI-powered features for podcasters, a desktop app to produce personal podcasts via AI, and reserved concert tickets for top fans.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Spotify #Universal #Music #strike #deal #allowing #fanmade #covers #remixes #TechCrunchSpotify,AI,ai music,universal music group">Spotify and Universal Music strike deal allowing fan-made AI covers and remixes | TechCrunch

Watch out, Suno. Spotify on Thursday announced it has partnered with Universal Music Group (UMG) to allow fans to use generative AI technology to create covers and remixes of their favorite songs. The tool will launch as a paid add-on available only to Spotify’s Premium subscribers and will offer a revenue share with participating artists for the AI-generated music based on their work.

The company did not share pricing or a launch date for the new tool, only that the two companies had come to a licensing agreement. However, Spotify had teased its plans last year, noting that it was working with Universal Music Group, Sony Music Group, Warner Music Group, Merlin, and Believe to develop artist-first AI products.

The AI tools would be created through “upfront agreements, not by asking for forgiveness later,” Spotify said at the time, an obvious swipe at other players in the space, like Suno.

Among the principles Spotify outlined: artists and rightsholders should be able to choose if and how they participate in AI tools, and if they do, they should be fairly compensated.

“Solving hard problems for music is what Spotify does, and fan-made covers and remixes are next. What we’re building is grounded in consent, credit, and compensation for the artists and songwriters that take part,” said Spotify co-CEO Alex Norström, in a statement about the UMG agreement. “Through each technological transformation, we have worked together with Sir Lucian [Chairman & CEO, Universal Music Group] and his team to evolve the music ecosystem into a richer, more beneficial experience for fans and a more rewarding outcome for artists and songwriters.”

UMG Chairman and CEO Sir Lucian Grainge, meanwhile, touted the development as a way for artists to deepen their fan relationships while also creating additional revenue opportunities. There’s no word yet on which UMG artists have agreed to participate.

While services like Suno and Udio have been pioneers in the AI music space, they moved forward on shaky legal ground when building their AI music-making tools. Unsurprisingly, the major labels quickly sued. In November, Suno ended up settling a $500 million lawsuit with Warner Music Group, which came shortly after Universal Music Group (UMG) had settled its own suit with Udio.

Today, Suno is still facing copyright claims from UMG and Sony Music, among others. Udio, meanwhile, has settled with Warner Music and UMG, but is still working to settle with Sony.

Seeing demand for this type of activity from consumers, Spotify went straight to the labels for a deal of its own. UMG may be the first of many label partnerships to come, though the company didn’t outright say so.

The news was shared amid a slew of Investor Day announcements from Spotify on Thursday, which also included an AI-powered audiobook creation tool, AI-powered features for podcasters, a desktop app to produce personal podcasts via AI, and reserved concert tickets for top fans.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Spotify #Universal #Music #strike #deal #allowing #fanmade #covers #remixes #TechCrunchSpotify,AI,ai music,universal music group

Watch out, Suno. Spotify on Thursday announced it has partnered with Universal Music Group (UMG)…

adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what’s in your tabs, compare the products you’re looking at, summarize your open articles, and more.

In its announcement, Microsoft says you can “select which experiences you want or leave off the ones you don’t.” The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a reservation on your behalf. Microsoft has since folded these agentic capabilities into its “Browse with Copilot” tool.

Several other AI features are coming to Edge, including an AI-powered “Study and Learn” mode that can turn the article you’re looking at into a study session or interactive quiz. There’s a new tool that turns your tabs into AI-powered podcasts as well, similar to what you’d find on NotebookLM, and an AI writing assistant that will pop up when you start entering text on a webpage.

You can also give Copilot permission to access your browsing history to provide more “relevant, high-quality answers,” according to Microsoft. Copilot in Edge on desktop and mobile will come with “long-term memory” as well, which can tailor its responses based on your previous conversations. And, when you open up a new tab, you’ll see a redesigned page that combines chat, search, and web navigation, along with the Journeys feature, which uses AI to organize your browsing history into categories that you can revisit.

Meanwhile, an update to Edge’s mobile app will allow you to share your screen with Copilot and talk through the questions about what you’re seeing. Microsoft says you’ll see “clear visual cues” when Copilot is active, “so you know when it’s taking an action, helping, listening, or viewing.”

#Microsofts #Edge #Copilot #update #pull #information #tabsAI,Microsoft,News,Tech,Web"> Microsoft’s Edge Copilot update uses AI to pull information from across your tabsMicrosoft Edge is adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what’s in your tabs, compare the products you’re looking at, summarize your open articles, and more.In its announcement, Microsoft says you can “select which experiences you want or leave off the ones you don’t.” The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a reservation on your behalf. Microsoft has since folded these agentic capabilities into its “Browse with Copilot” tool.Several other AI features are coming to Edge, including an AI-powered “Study and Learn” mode that can turn the article you’re looking at into a study session or interactive quiz. There’s a new tool that turns your tabs into AI-powered podcasts as well, similar to what you’d find on NotebookLM, and an AI writing assistant that will pop up when you start entering text on a webpage.You can also give Copilot permission to access your browsing history to provide more “relevant, high-quality answers,” according to Microsoft. Copilot in Edge on desktop and mobile will come with “long-term memory” as well, which can tailor its responses based on your previous conversations. And, when you open up a new tab, you’ll see a redesigned page that combines chat, search, and web navigation, along with the Journeys feature, which uses AI to organize your browsing history into categories that you can revisit.Meanwhile, an update to Edge’s mobile app will allow you to share your screen with Copilot and talk through the questions about what you’re seeing. Microsoft says you’ll see “clear visual cues” when Copilot is active, “so you know when it’s taking an action, helping, listening, or viewing.”#Microsofts #Edge #Copilot #update #pull #information #tabsAI,Microsoft,News,Tech,Web
Tech-news

adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what’s in your tabs, compare the products you’re looking at, summarize your open articles, and more.

In its announcement, Microsoft says you can “select which experiences you want or leave off the ones you don’t.” The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a reservation on your behalf. Microsoft has since folded these agentic capabilities into its “Browse with Copilot” tool.

Several other AI features are coming to Edge, including an AI-powered “Study and Learn” mode that can turn the article you’re looking at into a study session or interactive quiz. There’s a new tool that turns your tabs into AI-powered podcasts as well, similar to what you’d find on NotebookLM, and an AI writing assistant that will pop up when you start entering text on a webpage.

You can also give Copilot permission to access your browsing history to provide more “relevant, high-quality answers,” according to Microsoft. Copilot in Edge on desktop and mobile will come with “long-term memory” as well, which can tailor its responses based on your previous conversations. And, when you open up a new tab, you’ll see a redesigned page that combines chat, search, and web navigation, along with the Journeys feature, which uses AI to organize your browsing history into categories that you can revisit.

Meanwhile, an update to Edge’s mobile app will allow you to share your screen with Copilot and talk through the questions about what you’re seeing. Microsoft says you’ll see “clear visual cues” when Copilot is active, “so you know when it’s taking an action, helping, listening, or viewing.”

#Microsofts #Edge #Copilot #update #pull #information #tabsAI,Microsoft,News,Tech,Web">Microsoft’s Edge Copilot update uses AI to pull information from across your tabs

Microsoft Edge is adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what’s in your tabs, compare the products you’re looking at, summarize your open articles, and more.

In its announcement, Microsoft says you can “select which experiences you want or leave off the ones you don’t.” The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a reservation on your behalf. Microsoft has since folded these agentic capabilities into its “Browse with Copilot” tool.

Several other AI features are coming to Edge, including an AI-powered “Study and Learn” mode that can turn the article you’re looking at into a study session or interactive quiz. There’s a new tool that turns your tabs into AI-powered podcasts as well, similar to what you’d find on NotebookLM, and an AI writing assistant that will pop up when you start entering text on a webpage.

You can also give Copilot permission to access your browsing history to provide more “relevant, high-quality answers,” according to Microsoft. Copilot in Edge on desktop and mobile will come with “long-term memory” as well, which can tailor its responses based on your previous conversations. And, when you open up a new tab, you’ll see a redesigned page that combines chat, search, and web navigation, along with the Journeys feature, which uses AI to organize your browsing history into categories that you can revisit.

Meanwhile, an update to Edge’s mobile app will allow you to share your screen with Copilot and talk through the questions about what you’re seeing. Microsoft says you’ll see “clear visual cues” when Copilot is active, “so you know when it’s taking an action, helping, listening, or viewing.”

#Microsofts #Edge #Copilot #update #pull #information #tabsAI,Microsoft,News,Tech,Web

Microsoft Edge is adding a new feature that will allow its Copilot AI chatbot to…

Notion is stepping into the agentic era.

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.

By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure.

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Notion just turned its workspace into a hub for AI agents | TechCrunch
Productivity software maker Notion is stepping into the agentic era. 

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.







By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure. 

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure. 


You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment. 

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.







Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP —  short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more. 

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said. 








When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion
Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure.

You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment.

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.

Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP — short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more.

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion"> Notion just turned its workspace into a hub for AI agents | TechCrunch
Productivity software maker Notion is stepping into the agentic era. 

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.







By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure. 

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure. 


You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment. 

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.







Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP —  short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more. 

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said. 








When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion
Tech-news

Notion is stepping into the agentic era.

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.

By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure.

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Notion just turned its workspace into a hub for AI agents | TechCrunch
Productivity software maker Notion is stepping into the agentic era. 

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.







By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure. 

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure. 


You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment. 

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.







Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP —  short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more. 

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said. 








When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion
Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure.

You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment.

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.

Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP — short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more.

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion">Notion just turned its workspace into a hub for AI agents | TechCrunch

Productivity software maker Notion is stepping into the agentic era.

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.

By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure.

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Notion just turned its workspace into a hub for AI agents | TechCrunch
Productivity software maker Notion is stepping into the agentic era. 

In a live-streamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database.







By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure. 

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure. 


You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment. 

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.







Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP —  short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more. 

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said. 








When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion
Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure.

You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment.

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.

Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP — short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more.

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Notion #turned #workspace #hub #agents #TechCrunchAI,AI agents,Notion

Productivity software maker Notion is stepping into the agentic era. In a live-streamed product announcement…

Elon Musk told us all he doesn’t lose his temper. (He then proceeded to lose his temper on cross-examination.) Or like when Shivon Zilis, the mother of several of his children, told us that she didn’t know Musk was starting xAI — which seemed to be directly contradicted by her text messages. Or when Greg “What will take me to $1B?” Brockman told us he was all about the mission. I certainly believe Altman isn’t trustworthy — I mean, The New Yorker published more than 17,000 words about how much he lies. But unlike with Musk, there are contemporaneous documents backing Altman’s version of the story. At least, mostly.

“My belief is he wanted to have long-term control”

After OpenAI’s Dota 2 win, discussions for a for-profit arm started in earnest. “Mr. Musk felt very strongly that if we were going to form a for-profit he needed to have total control over it initially,” Altman said. “He only trusted himself to make non-obvious decisions that were going to turn out to be correct.”

Altman testified that he was uncomfortable with Musk’s insistence on control, not just because Musk hadn’t been as involved as everyone else, but because OpenAI existed so no one person would control AGI. And at Y Combinator, the startup incubator where he was president, Altman had seen a lot of control fights; no one wanted to give up power when things were going well. With structures like supervoting shares, founders could retain control forever. Curiously, Altman’s example was not the most famous one (Mark Zuckerberg at Meta); it was Musk and SpaceX. When Altman asked Musk about succession plans for OpenAI, he got a particularly “hair-raising” answer: In the event of Musk’s death, Musk said, “I haven’t thought about it a ton, but maybe control should pass to my children.”

I don’t know about that. But I do know that I saw a 2017 email from Altman to Zilis in which he wrote, “I am worried about control. I don’t think any one person should have control of the world’s first AGI — in fact the whole reason we started OpenAI was so that wouldn’t happen.” He went on to say that he didn’t mind the idea of immediate control and was open to “creative structures” — which I understood to mean that, in order to placate Musk, Altman was willing to give him control up to specific milestones in company development.

“I read a vague, like, a lightweight threat in there”

“My belief is he wanted to have long-term control and that he would’ve had that had we agreed to the structure he wanted,” Altman said on the stand. This sounds basically right. In later video testimony from Sam Teller’s deposition, we heard that Musk no longer invests in anything he doesn’t control. This also fits with Musk’s long-term fixation on making sure he can’t get booted from his own company the way he got booted from PayPal.

Musk also tried to recruit Altman to Tesla. We saw texts between Altman and Teller, in which Teller told Altman that Musk was committed to beefing up Tesla’s AI no matter what, and that he hoped that Altman, Brockman, and Ilya Sutskever would want to join eventually. “I read a vague, like, a lightweight threat in there, that he’s gonna do this inside of Tesla with or without you,” Altman said. But he felt that Tesla was primarily a car company — allowing it to acquire OpenAI would betray OpenAI’s mission.

Later, in Teller’s testimony, we saw texts Teller sent to Zilis at 12:40AM on February 4th, 2018: “I don’t love OpenAI continuing without Elon,” he wrote. “Would rather disable it by recruiting the leaders.”

When Musk stopped his quarterly donations, OpenAI was operating on a “shoestring” with an “extremely short runway of cash.” OpenAI did have other donors, none of whom have sued it or joined Musk’s suit. (One donor in the exhibit that wasn’t called out to the courtroom was Alameda Research, the firm owned by Sam Bankman-Fried, who is now in prison for fraud and money laundering.) Musk’s resignation from the board meant “people wondered if he was gonna try to take, uh, vengeance out on us or something.” On the other hand, Altman said Musk had “demotivated some of our key researchers” and done “huge damage for a long time to the culture of the organization.” So it sure seems like some people were relieved to be rid of him.

I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial

We saw a lot of evidence that throughout the time Altman was setting up OpenAI’s for-profit arm, he kept Musk apprised of what was going on, either directly or through Zilis or Teller. At no point did Musk object, and whatever he said publicly about the Microsoft investments, there was plenty of evidence that privately he’d been made aware.

On the cross-examination, we were treated to more than 10 minutes of Steven Molo telling Altman that various and assorted people had called him a liar: Sutskever, Mira Murati, Helen Toner, Tasha McCauley, Daniela and Dario Amodei (former OpenAI employees and founders of Anthropic), employees at Altman’s first startup Loopt, that recent New Yorker article, a book called The Optimist, etc. Molo did score some points by asking Altman about testimony in the trial, which Altman said he wasn’t paying close attention to. Molo acted as though this was inconceivable. Surely someone had informed Altman of what was said?

It was a little funny and also a little tiresome. Altman kept his cool, though, seeming hurt and confused by the focus on whether he was a liar. It was also the most successful part of the cross, which declined in focus precipitously afterward. I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial, and today was pretty bad. At one point, when Molo was trying to capitalize on Altman being both CEO and on the company’s board, Altman said — truthfully — that CEOs are almost always on the boards of the companies they run.

(At this point in my notes, I had written, “Boy, Molo is not very good at this.”)

The point of this trial isn’t to win — it’s to punish Altman, Brockman, and OpenAI

There was also an unconvincing argument about fundraising in nonprofits, specifically that if Stanford could raise $3 billion a year, OpenAI should have remained a nonprofit. Okay, let’s just think about that for a minute. Stanford has a donor network of thousands of graduates. It’s a school, which has very different capital requirements. It is not competing with any reputable for-profit companies. But leave that all aside and assume that some fundraising genius took over at the OpenAI Foundation: $3 billion is the initial two Microsoft investments combined, and not enough to scale OpenAI to where it is now. If compute is the main bottleneck on building AI models, then Molo’s line of argument suggests OpenAI never would have managed to be successful as a nonprofit alone. He’s making the defense’s case for them.

But the thing is, Molo doesn’t actually have to be good at this job, because the point of this trial isn’t to win — though I’m sure Musk wouldn’t mind a win. The point is to punish Altman, Brockman, and OpenAI. Musk has done that pretty thoroughly — reinforcing in the public’s mind that Altman is a liar and a snake. This morning, I read an exclusive in The Wall Street Journal that assorted Republican AGs and the House Oversight committee wanted to look into Sam Altman’s investments. References to the trial are peppered throughout the article.

So yes, Altman was convincing on the stand. He may even win the suit. But it sure seems like Musk’s vengeance has just begun.

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.
#Sam #Altman #winning #standAI,OpenAI"> Sam Altman was winning on the stand, but it might not be enoughAfter two weeks of hearing from assorted witnesses that he was a lying snake, the jury finally heard from the lying snake himself: Sam Altman. At the end of the testimony, his lawyer William Savitt asked him how it felt to be accused of stealing a charity.“We created, through a ton of hard work, this extremely large charity, and I agree you can’t steal it,” Altman said. “Mr. Musk did try to kill it, I guess. Twice.”Altman was fully in “nice kid from St. Louis” mode, and did a passable impression of a man who was bewildered at what was happening to him. When he stepped down from the stand holding a stack of evidence binders, he even looked a little like a schoolboy. He seemed nervous at the beginning of his direct testimony, though he warmed up fairly quickly. Overall, he seemed to give credible testimony — and at times, it seemed like the jury liked him.Throughout this trial I’ve had some difficulty imagining what the jury is making of all this because I am a little too familiar with the figures who are testifying. I have heard some audacious lies under oath, like when Elon Musk told us all he doesn’t lose his temper. (He then proceeded to lose his temper on cross-examination.) Or like when Shivon Zilis, the mother of several of his children, told us that she didn’t know Musk was starting xAI — which seemed to be directly contradicted by her text messages. Or when Greg “What will take me to B?” Brockman told us he was all about the mission. I certainly believe Altman isn’t trustworthy — I mean, The New Yorker published more than 17,000 words about how much he lies. But unlike with Musk, there are contemporaneous documents backing Altman’s version of the story. At least, mostly.“My belief is he wanted to have long-term control”After OpenAI’s Dota 2 win, discussions for a for-profit arm started in earnest. “Mr. Musk felt very strongly that if we were going to form a for-profit he needed to have total control over it initially,” Altman said. “He only trusted himself to make non-obvious decisions that were going to turn out to be correct.”Altman testified that he was uncomfortable with Musk’s insistence on control, not just because Musk hadn’t been as involved as everyone else, but because OpenAI existed so no one person would control AGI. And at Y Combinator, the startup incubator where he was president, Altman had seen a lot of control fights; no one wanted to give up power when things were going well. With structures like supervoting shares, founders could retain control forever. Curiously, Altman’s example was not the most famous one (Mark Zuckerberg at Meta); it was Musk and SpaceX. When Altman asked Musk about succession plans for OpenAI, he got a particularly “hair-raising” answer: In the event of Musk’s death, Musk said, “I haven’t thought about it a ton, but maybe control should pass to my children.”I don’t know about that. But I do know that I saw a 2017 email from Altman to Zilis in which he wrote, “I am worried about control. I don’t think any one person should have control of the world’s first AGI — in fact the whole reason we started OpenAI was so that wouldn’t happen.” He went on to say that he didn’t mind the idea of immediate control and was open to “creative structures” — which I understood to mean that, in order to placate Musk, Altman was willing to give him control up to specific milestones in company development.“I read a vague, like, a lightweight threat in there”“My belief is he wanted to have long-term control and that he would’ve had that had we agreed to the structure he wanted,” Altman said on the stand. This sounds basically right. In later video testimony from Sam Teller’s deposition, we heard that Musk no longer invests in anything he doesn’t control. This also fits with Musk’s long-term fixation on making sure he can’t get booted from his own company the way he got booted from PayPal.Musk also tried to recruit Altman to Tesla. We saw texts between Altman and Teller, in which Teller told Altman that Musk was committed to beefing up Tesla’s AI no matter what, and that he hoped that Altman, Brockman, and Ilya Sutskever would want to join eventually. “I read a vague, like, a lightweight threat in there, that he’s gonna do this inside of Tesla with or without you,” Altman said. But he felt that Tesla was primarily a car company — allowing it to acquire OpenAI would betray OpenAI’s mission.Later, in Teller’s testimony, we saw texts Teller sent to Zilis at 12:40AM on February 4th, 2018: “I don’t love OpenAI continuing without Elon,” he wrote. “Would rather disable it by recruiting the leaders.”When Musk stopped his quarterly donations, OpenAI was operating on a “shoestring” with an “extremely short runway of cash.” OpenAI did have other donors, none of whom have sued it or joined Musk’s suit. (One donor in the exhibit that wasn’t called out to the courtroom was Alameda Research, the firm owned by Sam Bankman-Fried, who is now in prison for fraud and money laundering.) Musk’s resignation from the board meant “people wondered if he was gonna try to take, uh, vengeance out on us or something.” On the other hand, Altman said Musk had “demotivated some of our key researchers” and done “huge damage for a long time to the culture of the organization.” So it sure seems like some people were relieved to be rid of him.I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trialWe saw a lot of evidence that throughout the time Altman was setting up OpenAI’s for-profit arm, he kept Musk apprised of what was going on, either directly or through Zilis or Teller. At no point did Musk object, and whatever he said publicly about the Microsoft investments, there was plenty of evidence that privately he’d been made aware.On the cross-examination, we were treated to more than 10 minutes of Steven Molo telling Altman that various and assorted people had called him a liar: Sutskever, Mira Murati, Helen Toner, Tasha McCauley, Daniela and Dario Amodei (former OpenAI employees and founders of Anthropic), employees at Altman’s first startup Loopt, that recent New Yorker article, a book called The Optimist, etc. Molo did score some points by asking Altman about testimony in the trial, which Altman said he wasn’t paying close attention to. Molo acted as though this was inconceivable. Surely someone had informed Altman of what was said?It was a little funny and also a little tiresome. Altman kept his cool, though, seeming hurt and confused by the focus on whether he was a liar. It was also the most successful part of the cross, which declined in focus precipitously afterward. I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial, and today was pretty bad. At one point, when Molo was trying to capitalize on Altman being both CEO and on the company’s board, Altman said — truthfully — that CEOs are almost always on the boards of the companies they run.(At this point in my notes, I had written, “Boy, Molo is not very good at this.”)The point of this trial isn’t to win — it’s to punish Altman, Brockman, and OpenAIThere was also an unconvincing argument about fundraising in nonprofits, specifically that if Stanford could raise  billion a year, OpenAI should have remained a nonprofit. Okay, let’s just think about that for a minute. Stanford has a donor network of thousands of graduates. It’s a school, which has very different capital requirements. It is not competing with any reputable for-profit companies. But leave that all aside and assume that some fundraising genius took over at the OpenAI Foundation:  billion is the initial two Microsoft investments combined, and not enough to scale OpenAI to where it is now. If compute is the main bottleneck on building AI models, then Molo’s line of argument suggests OpenAI never would have managed to be successful as a nonprofit alone. He’s making the defense’s case for them.But the thing is, Molo doesn’t actually have to be good at this job, because the point of this trial isn’t to win — though I’m sure Musk wouldn’t mind a win. The point is to punish Altman, Brockman, and OpenAI. Musk has done that pretty thoroughly — reinforcing in the public’s mind that Altman is a liar and a snake. This morning, I read an exclusive in The Wall Street Journal that assorted Republican AGs and the House Oversight committee wanted to look into Sam Altman’s investments. References to the trial are peppered throughout the article.So yes, Altman was convincing on the stand. He may even win the suit. But it sure seems like Musk’s vengeance has just begun.Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.Elizabeth LopattoCloseElizabeth LopattoPosts from this author will be added to your daily email digest and your homepage feed.FollowFollowSee All by Elizabeth LopattoAICloseAIPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All AIOpenAICloseOpenAIPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All OpenAI#Sam #Altman #winning #standAI,OpenAI
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Elon Musk told us all he doesn’t lose his temper. (He then proceeded to lose his temper on cross-examination.) Or like when Shivon Zilis, the mother of several of his children, told us that she didn’t know Musk was starting xAI — which seemed to be directly contradicted by her text messages. Or when Greg “What will take me to $1B?” Brockman told us he was all about the mission. I certainly believe Altman isn’t trustworthy — I mean, The New Yorker published more than 17,000 words about how much he lies. But unlike with Musk, there are contemporaneous documents backing Altman’s version of the story. At least, mostly.

“My belief is he wanted to have long-term control”

After OpenAI’s Dota 2 win, discussions for a for-profit arm started in earnest. “Mr. Musk felt very strongly that if we were going to form a for-profit he needed to have total control over it initially,” Altman said. “He only trusted himself to make non-obvious decisions that were going to turn out to be correct.”

Altman testified that he was uncomfortable with Musk’s insistence on control, not just because Musk hadn’t been as involved as everyone else, but because OpenAI existed so no one person would control AGI. And at Y Combinator, the startup incubator where he was president, Altman had seen a lot of control fights; no one wanted to give up power when things were going well. With structures like supervoting shares, founders could retain control forever. Curiously, Altman’s example was not the most famous one (Mark Zuckerberg at Meta); it was Musk and SpaceX. When Altman asked Musk about succession plans for OpenAI, he got a particularly “hair-raising” answer: In the event of Musk’s death, Musk said, “I haven’t thought about it a ton, but maybe control should pass to my children.”

I don’t know about that. But I do know that I saw a 2017 email from Altman to Zilis in which he wrote, “I am worried about control. I don’t think any one person should have control of the world’s first AGI — in fact the whole reason we started OpenAI was so that wouldn’t happen.” He went on to say that he didn’t mind the idea of immediate control and was open to “creative structures” — which I understood to mean that, in order to placate Musk, Altman was willing to give him control up to specific milestones in company development.

“I read a vague, like, a lightweight threat in there”

“My belief is he wanted to have long-term control and that he would’ve had that had we agreed to the structure he wanted,” Altman said on the stand. This sounds basically right. In later video testimony from Sam Teller’s deposition, we heard that Musk no longer invests in anything he doesn’t control. This also fits with Musk’s long-term fixation on making sure he can’t get booted from his own company the way he got booted from PayPal.

Musk also tried to recruit Altman to Tesla. We saw texts between Altman and Teller, in which Teller told Altman that Musk was committed to beefing up Tesla’s AI no matter what, and that he hoped that Altman, Brockman, and Ilya Sutskever would want to join eventually. “I read a vague, like, a lightweight threat in there, that he’s gonna do this inside of Tesla with or without you,” Altman said. But he felt that Tesla was primarily a car company — allowing it to acquire OpenAI would betray OpenAI’s mission.

Later, in Teller’s testimony, we saw texts Teller sent to Zilis at 12:40AM on February 4th, 2018: “I don’t love OpenAI continuing without Elon,” he wrote. “Would rather disable it by recruiting the leaders.”

When Musk stopped his quarterly donations, OpenAI was operating on a “shoestring” with an “extremely short runway of cash.” OpenAI did have other donors, none of whom have sued it or joined Musk’s suit. (One donor in the exhibit that wasn’t called out to the courtroom was Alameda Research, the firm owned by Sam Bankman-Fried, who is now in prison for fraud and money laundering.) Musk’s resignation from the board meant “people wondered if he was gonna try to take, uh, vengeance out on us or something.” On the other hand, Altman said Musk had “demotivated some of our key researchers” and done “huge damage for a long time to the culture of the organization.” So it sure seems like some people were relieved to be rid of him.

I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial

We saw a lot of evidence that throughout the time Altman was setting up OpenAI’s for-profit arm, he kept Musk apprised of what was going on, either directly or through Zilis or Teller. At no point did Musk object, and whatever he said publicly about the Microsoft investments, there was plenty of evidence that privately he’d been made aware.

On the cross-examination, we were treated to more than 10 minutes of Steven Molo telling Altman that various and assorted people had called him a liar: Sutskever, Mira Murati, Helen Toner, Tasha McCauley, Daniela and Dario Amodei (former OpenAI employees and founders of Anthropic), employees at Altman’s first startup Loopt, that recent New Yorker article, a book called The Optimist, etc. Molo did score some points by asking Altman about testimony in the trial, which Altman said he wasn’t paying close attention to. Molo acted as though this was inconceivable. Surely someone had informed Altman of what was said?

It was a little funny and also a little tiresome. Altman kept his cool, though, seeming hurt and confused by the focus on whether he was a liar. It was also the most successful part of the cross, which declined in focus precipitously afterward. I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial, and today was pretty bad. At one point, when Molo was trying to capitalize on Altman being both CEO and on the company’s board, Altman said — truthfully — that CEOs are almost always on the boards of the companies they run.

(At this point in my notes, I had written, “Boy, Molo is not very good at this.”)

The point of this trial isn’t to win — it’s to punish Altman, Brockman, and OpenAI

There was also an unconvincing argument about fundraising in nonprofits, specifically that if Stanford could raise $3 billion a year, OpenAI should have remained a nonprofit. Okay, let’s just think about that for a minute. Stanford has a donor network of thousands of graduates. It’s a school, which has very different capital requirements. It is not competing with any reputable for-profit companies. But leave that all aside and assume that some fundraising genius took over at the OpenAI Foundation: $3 billion is the initial two Microsoft investments combined, and not enough to scale OpenAI to where it is now. If compute is the main bottleneck on building AI models, then Molo’s line of argument suggests OpenAI never would have managed to be successful as a nonprofit alone. He’s making the defense’s case for them.

But the thing is, Molo doesn’t actually have to be good at this job, because the point of this trial isn’t to win — though I’m sure Musk wouldn’t mind a win. The point is to punish Altman, Brockman, and OpenAI. Musk has done that pretty thoroughly — reinforcing in the public’s mind that Altman is a liar and a snake. This morning, I read an exclusive in The Wall Street Journal that assorted Republican AGs and the House Oversight committee wanted to look into Sam Altman’s investments. References to the trial are peppered throughout the article.

So yes, Altman was convincing on the stand. He may even win the suit. But it sure seems like Musk’s vengeance has just begun.

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.

#Sam #Altman #winning #standAI,OpenAI">Sam Altman was winning on the stand, but it might not be enough

After two weeks of hearing from assorted witnesses that he was a lying snake, the jury finally heard from the lying snake himself: Sam Altman. At the end of the testimony, his lawyer William Savitt asked him how it felt to be accused of stealing a charity.

“We created, through a ton of hard work, this extremely large charity, and I agree you can’t steal it,” Altman said. “Mr. Musk did try to kill it, I guess. Twice.”

Altman was fully in “nice kid from St. Louis” mode, and did a passable impression of a man who was bewildered at what was happening to him. When he stepped down from the stand holding a stack of evidence binders, he even looked a little like a schoolboy. He seemed nervous at the beginning of his direct testimony, though he warmed up fairly quickly. Overall, he seemed to give credible testimony — and at times, it seemed like the jury liked him.

Throughout this trial I’ve had some difficulty imagining what the jury is making of all this because I am a little too familiar with the figures who are testifying. I have heard some audacious lies under oath, like when Elon Musk told us all he doesn’t lose his temper. (He then proceeded to lose his temper on cross-examination.) Or like when Shivon Zilis, the mother of several of his children, told us that she didn’t know Musk was starting xAI — which seemed to be directly contradicted by her text messages. Or when Greg “What will take me to $1B?” Brockman told us he was all about the mission. I certainly believe Altman isn’t trustworthy — I mean, The New Yorker published more than 17,000 words about how much he lies. But unlike with Musk, there are contemporaneous documents backing Altman’s version of the story. At least, mostly.

“My belief is he wanted to have long-term control”

After OpenAI’s Dota 2 win, discussions for a for-profit arm started in earnest. “Mr. Musk felt very strongly that if we were going to form a for-profit he needed to have total control over it initially,” Altman said. “He only trusted himself to make non-obvious decisions that were going to turn out to be correct.”

Altman testified that he was uncomfortable with Musk’s insistence on control, not just because Musk hadn’t been as involved as everyone else, but because OpenAI existed so no one person would control AGI. And at Y Combinator, the startup incubator where he was president, Altman had seen a lot of control fights; no one wanted to give up power when things were going well. With structures like supervoting shares, founders could retain control forever. Curiously, Altman’s example was not the most famous one (Mark Zuckerberg at Meta); it was Musk and SpaceX. When Altman asked Musk about succession plans for OpenAI, he got a particularly “hair-raising” answer: In the event of Musk’s death, Musk said, “I haven’t thought about it a ton, but maybe control should pass to my children.”

I don’t know about that. But I do know that I saw a 2017 email from Altman to Zilis in which he wrote, “I am worried about control. I don’t think any one person should have control of the world’s first AGI — in fact the whole reason we started OpenAI was so that wouldn’t happen.” He went on to say that he didn’t mind the idea of immediate control and was open to “creative structures” — which I understood to mean that, in order to placate Musk, Altman was willing to give him control up to specific milestones in company development.

“I read a vague, like, a lightweight threat in there”

“My belief is he wanted to have long-term control and that he would’ve had that had we agreed to the structure he wanted,” Altman said on the stand. This sounds basically right. In later video testimony from Sam Teller’s deposition, we heard that Musk no longer invests in anything he doesn’t control. This also fits with Musk’s long-term fixation on making sure he can’t get booted from his own company the way he got booted from PayPal.

Musk also tried to recruit Altman to Tesla. We saw texts between Altman and Teller, in which Teller told Altman that Musk was committed to beefing up Tesla’s AI no matter what, and that he hoped that Altman, Brockman, and Ilya Sutskever would want to join eventually. “I read a vague, like, a lightweight threat in there, that he’s gonna do this inside of Tesla with or without you,” Altman said. But he felt that Tesla was primarily a car company — allowing it to acquire OpenAI would betray OpenAI’s mission.

Later, in Teller’s testimony, we saw texts Teller sent to Zilis at 12:40AM on February 4th, 2018: “I don’t love OpenAI continuing without Elon,” he wrote. “Would rather disable it by recruiting the leaders.”

When Musk stopped his quarterly donations, OpenAI was operating on a “shoestring” with an “extremely short runway of cash.” OpenAI did have other donors, none of whom have sued it or joined Musk’s suit. (One donor in the exhibit that wasn’t called out to the courtroom was Alameda Research, the firm owned by Sam Bankman-Fried, who is now in prison for fraud and money laundering.) Musk’s resignation from the board meant “people wondered if he was gonna try to take, uh, vengeance out on us or something.” On the other hand, Altman said Musk had “demotivated some of our key researchers” and done “huge damage for a long time to the culture of the organization.” So it sure seems like some people were relieved to be rid of him.

I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial

We saw a lot of evidence that throughout the time Altman was setting up OpenAI’s for-profit arm, he kept Musk apprised of what was going on, either directly or through Zilis or Teller. At no point did Musk object, and whatever he said publicly about the Microsoft investments, there was plenty of evidence that privately he’d been made aware.

On the cross-examination, we were treated to more than 10 minutes of Steven Molo telling Altman that various and assorted people had called him a liar: Sutskever, Mira Murati, Helen Toner, Tasha McCauley, Daniela and Dario Amodei (former OpenAI employees and founders of Anthropic), employees at Altman’s first startup Loopt, that recent New Yorker article, a book called The Optimist, etc. Molo did score some points by asking Altman about testimony in the trial, which Altman said he wasn’t paying close attention to. Molo acted as though this was inconceivable. Surely someone had informed Altman of what was said?

It was a little funny and also a little tiresome. Altman kept his cool, though, seeming hurt and confused by the focus on whether he was a liar. It was also the most successful part of the cross, which declined in focus precipitously afterward. I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial, and today was pretty bad. At one point, when Molo was trying to capitalize on Altman being both CEO and on the company’s board, Altman said — truthfully — that CEOs are almost always on the boards of the companies they run.

(At this point in my notes, I had written, “Boy, Molo is not very good at this.”)

The point of this trial isn’t to win — it’s to punish Altman, Brockman, and OpenAI

There was also an unconvincing argument about fundraising in nonprofits, specifically that if Stanford could raise $3 billion a year, OpenAI should have remained a nonprofit. Okay, let’s just think about that for a minute. Stanford has a donor network of thousands of graduates. It’s a school, which has very different capital requirements. It is not competing with any reputable for-profit companies. But leave that all aside and assume that some fundraising genius took over at the OpenAI Foundation: $3 billion is the initial two Microsoft investments combined, and not enough to scale OpenAI to where it is now. If compute is the main bottleneck on building AI models, then Molo’s line of argument suggests OpenAI never would have managed to be successful as a nonprofit alone. He’s making the defense’s case for them.

But the thing is, Molo doesn’t actually have to be good at this job, because the point of this trial isn’t to win — though I’m sure Musk wouldn’t mind a win. The point is to punish Altman, Brockman, and OpenAI. Musk has done that pretty thoroughly — reinforcing in the public’s mind that Altman is a liar and a snake. This morning, I read an exclusive in The Wall Street Journal that assorted Republican AGs and the House Oversight committee wanted to look into Sam Altman’s investments. References to the trial are peppered throughout the article.

So yes, Altman was convincing on the stand. He may even win the suit. But it sure seems like Musk’s vengeance has just begun.

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.
#Sam #Altman #winning #standAI,OpenAI

After two weeks of hearing from assorted witnesses that he was a lying snake, the…

Daybreak, an AI initiative focused on detecting and patching vulnerabilities before attackers find them. Daybreak uses the Codex Security AI agent that launched in March to create a threat model based on an organization’s code and focus on possible attack paths, validate likely vulnerabilities, and then automate the detection of the higher risk ones.

Its launch comes just over a month after rival Anthropic announced Claude Mythos, a security-focused AI model it claimed was too dangerous to publicly release and only shared privately as a part of its own initiative, dubbed Project Glasswing. Still, that didn’t stop at least a few unauthorized parties from getting access.

However, OpenAI has so far lacked a similar security product. Like Glasswing, Daybreak isn’t built on just one AI model — OpenAI says “Daybreak brings together the most capable OpenAI models, Codex, and our security partners.”

Daybreak also involves specialized cyber models, including GPT-5.5 with Trusted Access for Cyber and GPT-5.5-Cyber, which began rolling out last week. OpenAI also says it’s working with its “industry and government partners” while it prepares to “deploy increasingly more cyber-capable models.”

#OpenAI #released #answer #Claude #MythosAI,Anthropic,News,OpenAI,Security,Tech"> OpenAI just released its answer to Claude MythosOpenAI is launching Daybreak, an AI initiative focused on detecting and patching vulnerabilities before attackers find them. Daybreak uses the Codex Security AI agent that launched in March to create a threat model based on an organization’s code and focus on possible attack paths, validate likely vulnerabilities, and then automate the detection of the higher risk ones.Its launch comes just over a month after rival Anthropic announced Claude Mythos, a security-focused AI model it claimed was too dangerous to publicly release and only shared privately as a part of its own initiative, dubbed Project Glasswing. Still, that didn’t stop at least a few unauthorized parties from getting access.However, OpenAI has so far lacked a similar security product. Like Glasswing, Daybreak isn’t built on just one AI model — OpenAI says “Daybreak brings together the most capable OpenAI models, Codex, and our security partners.”Daybreak also involves specialized cyber models, including GPT-5.5 with Trusted Access for Cyber and GPT-5.5-Cyber, which began rolling out last week. OpenAI also says it’s working with its “industry and government partners” while it prepares to “deploy increasingly more cyber-capable models.”#OpenAI #released #answer #Claude #MythosAI,Anthropic,News,OpenAI,Security,Tech
Tech-news

Daybreak, an AI initiative focused on detecting and patching vulnerabilities before attackers find them. Daybreak uses the Codex Security AI agent that launched in March to create a threat model based on an organization’s code and focus on possible attack paths, validate likely vulnerabilities, and then automate the detection of the higher risk ones.

Its launch comes just over a month after rival Anthropic announced Claude Mythos, a security-focused AI model it claimed was too dangerous to publicly release and only shared privately as a part of its own initiative, dubbed Project Glasswing. Still, that didn’t stop at least a few unauthorized parties from getting access.

However, OpenAI has so far lacked a similar security product. Like Glasswing, Daybreak isn’t built on just one AI model — OpenAI says “Daybreak brings together the most capable OpenAI models, Codex, and our security partners.”

Daybreak also involves specialized cyber models, including GPT-5.5 with Trusted Access for Cyber and GPT-5.5-Cyber, which began rolling out last week. OpenAI also says it’s working with its “industry and government partners” while it prepares to “deploy increasingly more cyber-capable models.”

#OpenAI #released #answer #Claude #MythosAI,Anthropic,News,OpenAI,Security,Tech">OpenAI just released its answer to Claude Mythos

OpenAI is launching Daybreak, an AI initiative focused on detecting and patching vulnerabilities before attackers find them. Daybreak uses the Codex Security AI agent that launched in March to create a threat model based on an organization’s code and focus on possible attack paths, validate likely vulnerabilities, and then automate the detection of the higher risk ones.

Its launch comes just over a month after rival Anthropic announced Claude Mythos, a security-focused AI model it claimed was too dangerous to publicly release and only shared privately as a part of its own initiative, dubbed Project Glasswing. Still, that didn’t stop at least a few unauthorized parties from getting access.

However, OpenAI has so far lacked a similar security product. Like Glasswing, Daybreak isn’t built on just one AI model — OpenAI says “Daybreak brings together the most capable OpenAI models, Codex, and our security partners.”

Daybreak also involves specialized cyber models, including GPT-5.5 with Trusted Access for Cyber and GPT-5.5-Cyber, which began rolling out last week. OpenAI also says it’s working with its “industry and government partners” while it prepares to “deploy increasingly more cyber-capable models.”

#OpenAI #released #answer #Claude #MythosAI,Anthropic,News,OpenAI,Security,Tech

OpenAI is launching Daybreak, an AI initiative focused on detecting and patching vulnerabilities before attackers…

announced a new feature called Trusted Contact, designed to alert a trusted third party if mentions of self-harm are expressed within a conversation. The feature allows an adult ChatGPT user to designate another person as a trusted contact within their account, such as a friend or family member. In cases where a conversation may turn to self-harm, OpenAI will now encourage the user to reach out to that contact. It also sends an automated alert to the contact, encouraging them to check in with the user.

OpenAI has faced a wave of lawsuits from the families of people who have committed suicide after talking with its chatbot. In a number of cases, the families say ChatGPT encouraged their loved one to kill themselves—or even helped them plan it out.

OpenAI currently uses a combination of automation and human review to handle potentially harmful incidents. Certain conversational triggers alert the company’s system to suicidal ideations, which then relay the information to a human safety team. The company claims that every time it receives this kind of notification, the incident is reviewed by a human. “We strive to review these safety notifications in under one hour,” the company says.

If OpenAI’s internal team decides that the situation represents a serious safety risk, ChatGPT proceeds to send the trusted contact an alert—either by email, text message, or an in-app notification. The alert is designed to be brief and to encourage the contact to check in with the person in question. It does not include detailed information about what was being discussed, as a means of protecting the user’s privacy, the company says.

OpenAI introduces new ‘Trusted Contact’ safeguard for cases of possible self-harm | TechCrunch
On Thursday OpenAI announced a new feature called Trusted Contact, designed to alert a trusted third party if mentions of self-harm are expressed within a conversation. The feature allows an adult ChatGPT user to designate another person as a trusted contact within their account, such as a friend or family member. In cases where a conversation may turn to self-harm, OpenAI will now encourage the user to reach out to that contact. It also sends an automated alert to the contact, encouraging them to check in with the user.

OpenAI has faced a wave of lawsuits from the families of people who have committed suicide after talking with its chatbot. In a number of cases, the families say ChatGPT encouraged their loved one to kill themselves—or even helped them plan it out.







OpenAI currently uses a combination of automation and human review to handle potentially harmful incidents. Certain conversational triggers alert the company’s system to suicidal ideations, which then relay the information to a human safety team. The company claims that every time it receives this kind of notification, the incident is reviewed by a human. “We strive to review these safety notifications in under one hour,” the company says. 

If OpenAI’s internal team decides that the situation represents a serious safety risk, ChatGPT proceeds to send the trusted contact an alert—either by email, text message, or an in-app notification. The alert is designed to be brief and to encourage the contact to check in with the person in question. It does not include detailed information about what was being discussed, as a means of protecting the user’s privacy, the company says.  

Image Credits:OpenAI

The Trusted Contact feature follows the safeguards the company introduced last September that gave parents the power to have some oversight of their teens’ accounts, including receiving safety notifications designed to alert the parent if OpenAI’s system believes their child is facing a “serious safety risk.” For some time now, ChatGPT has also included automated alerts to seek professional health services, should a conversation trend toward the topic of self-harm.

Crucially, Trust Contact is optional and, even if the protection is activated on a particular account, any user can have multiple ChatGPT accounts. OpenAI’s parental controls are also optional, presenting a similar limitation.

“Trusted Contact is part of OpenAI’s broader effort to build AI systems that help people during difficult moments,” the company wrote in the announcement post. “We will continue to work with clinicians, researchers, and policymakers to improve how AI systems respond when people may be experiencing distress.”

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#OpenAI #introduces #Trusted #Contact #safeguard #cases #selfharm #TechCrunchAI,ChatGPT,OpenAI
Image Credits:OpenAI

The Trusted Contact feature follows the safeguards the company introduced last September that gave parents the power to have some oversight of their teens’ accounts, including receiving safety notifications designed to alert the parent if OpenAI’s system believes their child is facing a “serious safety risk.” For some time now, ChatGPT has also included automated alerts to seek professional health services, should a conversation trend toward the topic of self-harm.

Crucially, Trust Contact is optional and, even if the protection is activated on a particular account, any user can have multiple ChatGPT accounts. OpenAI’s parental controls are also optional, presenting a similar limitation.

“Trusted Contact is part of OpenAI’s broader effort to build AI systems that help people during difficult moments,” the company wrote in the announcement post. “We will continue to work with clinicians, researchers, and policymakers to improve how AI systems respond when people may be experiencing distress.”

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San Francisco, CA | October 13-15, 2026

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#OpenAI #introduces #Trusted #Contact #safeguard #cases #selfharm #TechCrunchAI,ChatGPT,OpenAI"> OpenAI introduces new ‘Trusted Contact’ safeguard for cases of possible self-harm | TechCrunch
On Thursday OpenAI announced a new feature called Trusted Contact, designed to alert a trusted third party if mentions of self-harm are expressed within a conversation. The feature allows an adult ChatGPT user to designate another person as a trusted contact within their account, such as a friend or family member. In cases where a conversation may turn to self-harm, OpenAI will now encourage the user to reach out to that contact. It also sends an automated alert to the contact, encouraging them to check in with the user.

OpenAI has faced a wave of lawsuits from the families of people who have committed suicide after talking with its chatbot. In a number of cases, the families say ChatGPT encouraged their loved one to kill themselves—or even helped them plan it out.







OpenAI currently uses a combination of automation and human review to handle potentially harmful incidents. Certain conversational triggers alert the company’s system to suicidal ideations, which then relay the information to a human safety team. The company claims that every time it receives this kind of notification, the incident is reviewed by a human. “We strive to review these safety notifications in under one hour,” the company says. 

If OpenAI’s internal team decides that the situation represents a serious safety risk, ChatGPT proceeds to send the trusted contact an alert—either by email, text message, or an in-app notification. The alert is designed to be brief and to encourage the contact to check in with the person in question. It does not include detailed information about what was being discussed, as a means of protecting the user’s privacy, the company says.  

Image Credits:OpenAI

The Trusted Contact feature follows the safeguards the company introduced last September that gave parents the power to have some oversight of their teens’ accounts, including receiving safety notifications designed to alert the parent if OpenAI’s system believes their child is facing a “serious safety risk.” For some time now, ChatGPT has also included automated alerts to seek professional health services, should a conversation trend toward the topic of self-harm.

Crucially, Trust Contact is optional and, even if the protection is activated on a particular account, any user can have multiple ChatGPT accounts. OpenAI’s parental controls are also optional, presenting a similar limitation.

“Trusted Contact is part of OpenAI’s broader effort to build AI systems that help people during difficult moments,” the company wrote in the announcement post. “We will continue to work with clinicians, researchers, and policymakers to improve how AI systems respond when people may be experiencing distress.”

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#OpenAI #introduces #Trusted #Contact #safeguard #cases #selfharm #TechCrunchAI,ChatGPT,OpenAI
Tech-news

announced a new feature called Trusted Contact, designed to alert a trusted third party if mentions of self-harm are expressed within a conversation. The feature allows an adult ChatGPT user to designate another person as a trusted contact within their account, such as a friend or family member. In cases where a conversation may turn to self-harm, OpenAI will now encourage the user to reach out to that contact. It also sends an automated alert to the contact, encouraging them to check in with the user.

OpenAI has faced a wave of lawsuits from the families of people who have committed suicide after talking with its chatbot. In a number of cases, the families say ChatGPT encouraged their loved one to kill themselves—or even helped them plan it out.

OpenAI currently uses a combination of automation and human review to handle potentially harmful incidents. Certain conversational triggers alert the company’s system to suicidal ideations, which then relay the information to a human safety team. The company claims that every time it receives this kind of notification, the incident is reviewed by a human. “We strive to review these safety notifications in under one hour,” the company says.

If OpenAI’s internal team decides that the situation represents a serious safety risk, ChatGPT proceeds to send the trusted contact an alert—either by email, text message, or an in-app notification. The alert is designed to be brief and to encourage the contact to check in with the person in question. It does not include detailed information about what was being discussed, as a means of protecting the user’s privacy, the company says.

OpenAI introduces new ‘Trusted Contact’ safeguard for cases of possible self-harm | TechCrunch
On Thursday OpenAI announced a new feature called Trusted Contact, designed to alert a trusted third party if mentions of self-harm are expressed within a conversation. The feature allows an adult ChatGPT user to designate another person as a trusted contact within their account, such as a friend or family member. In cases where a conversation may turn to self-harm, OpenAI will now encourage the user to reach out to that contact. It also sends an automated alert to the contact, encouraging them to check in with the user.

OpenAI has faced a wave of lawsuits from the families of people who have committed suicide after talking with its chatbot. In a number of cases, the families say ChatGPT encouraged their loved one to kill themselves—or even helped them plan it out.







OpenAI currently uses a combination of automation and human review to handle potentially harmful incidents. Certain conversational triggers alert the company’s system to suicidal ideations, which then relay the information to a human safety team. The company claims that every time it receives this kind of notification, the incident is reviewed by a human. “We strive to review these safety notifications in under one hour,” the company says. 

If OpenAI’s internal team decides that the situation represents a serious safety risk, ChatGPT proceeds to send the trusted contact an alert—either by email, text message, or an in-app notification. The alert is designed to be brief and to encourage the contact to check in with the person in question. It does not include detailed information about what was being discussed, as a means of protecting the user’s privacy, the company says.  

Image Credits:OpenAI

The Trusted Contact feature follows the safeguards the company introduced last September that gave parents the power to have some oversight of their teens’ accounts, including receiving safety notifications designed to alert the parent if OpenAI’s system believes their child is facing a “serious safety risk.” For some time now, ChatGPT has also included automated alerts to seek professional health services, should a conversation trend toward the topic of self-harm.

Crucially, Trust Contact is optional and, even if the protection is activated on a particular account, any user can have multiple ChatGPT accounts. OpenAI’s parental controls are also optional, presenting a similar limitation.

“Trusted Contact is part of OpenAI’s broader effort to build AI systems that help people during difficult moments,” the company wrote in the announcement post. “We will continue to work with clinicians, researchers, and policymakers to improve how AI systems respond when people may be experiencing distress.”

	
		
		Techcrunch event
		
			
			
									San Francisco, CA
													|
													October 13-15, 2026
							
			
		
	

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#OpenAI #introduces #Trusted #Contact #safeguard #cases #selfharm #TechCrunchAI,ChatGPT,OpenAI
Image Credits:OpenAI

The Trusted Contact feature follows the safeguards the company introduced last September that gave parents the power to have some oversight of their teens’ accounts, including receiving safety notifications designed to alert the parent if OpenAI’s system believes their child is facing a “serious safety risk.” For some time now, ChatGPT has also included automated alerts to seek professional health services, should a conversation trend toward the topic of self-harm.

Crucially, Trust Contact is optional and, even if the protection is activated on a particular account, any user can have multiple ChatGPT accounts. OpenAI’s parental controls are also optional, presenting a similar limitation.

“Trusted Contact is part of OpenAI’s broader effort to build AI systems that help people during difficult moments,” the company wrote in the announcement post. “We will continue to work with clinicians, researchers, and policymakers to improve how AI systems respond when people may be experiencing distress.”

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#OpenAI #introduces #Trusted #Contact #safeguard #cases #selfharm #TechCrunchAI,ChatGPT,OpenAI">OpenAI introduces new ‘Trusted Contact’ safeguard for cases of possible self-harm | TechCrunch

On Thursday OpenAI announced a new feature called Trusted Contact, designed to alert a trusted third party if mentions of self-harm are expressed within a conversation. The feature allows an adult ChatGPT user to designate another person as a trusted contact within their account, such as a friend or family member. In cases where a conversation may turn to self-harm, OpenAI will now encourage the user to reach out to that contact. It also sends an automated alert to the contact, encouraging them to check in with the user.

OpenAI has faced a wave of lawsuits from the families of people who have committed suicide after talking with its chatbot. In a number of cases, the families say ChatGPT encouraged their loved one to kill themselves—or even helped them plan it out.

OpenAI currently uses a combination of automation and human review to handle potentially harmful incidents. Certain conversational triggers alert the company’s system to suicidal ideations, which then relay the information to a human safety team. The company claims that every time it receives this kind of notification, the incident is reviewed by a human. “We strive to review these safety notifications in under one hour,” the company says.

If OpenAI’s internal team decides that the situation represents a serious safety risk, ChatGPT proceeds to send the trusted contact an alert—either by email, text message, or an in-app notification. The alert is designed to be brief and to encourage the contact to check in with the person in question. It does not include detailed information about what was being discussed, as a means of protecting the user’s privacy, the company says.

OpenAI introduces new ‘Trusted Contact’ safeguard for cases of possible self-harm | TechCrunch
On Thursday OpenAI announced a new feature called Trusted Contact, designed to alert a trusted third party if mentions of self-harm are expressed within a conversation. The feature allows an adult ChatGPT user to designate another person as a trusted contact within their account, such as a friend or family member. In cases where a conversation may turn to self-harm, OpenAI will now encourage the user to reach out to that contact. It also sends an automated alert to the contact, encouraging them to check in with the user.

OpenAI has faced a wave of lawsuits from the families of people who have committed suicide after talking with its chatbot. In a number of cases, the families say ChatGPT encouraged their loved one to kill themselves—or even helped them plan it out.







OpenAI currently uses a combination of automation and human review to handle potentially harmful incidents. Certain conversational triggers alert the company’s system to suicidal ideations, which then relay the information to a human safety team. The company claims that every time it receives this kind of notification, the incident is reviewed by a human. “We strive to review these safety notifications in under one hour,” the company says. 

If OpenAI’s internal team decides that the situation represents a serious safety risk, ChatGPT proceeds to send the trusted contact an alert—either by email, text message, or an in-app notification. The alert is designed to be brief and to encourage the contact to check in with the person in question. It does not include detailed information about what was being discussed, as a means of protecting the user’s privacy, the company says.  

Image Credits:OpenAI

The Trusted Contact feature follows the safeguards the company introduced last September that gave parents the power to have some oversight of their teens’ accounts, including receiving safety notifications designed to alert the parent if OpenAI’s system believes their child is facing a “serious safety risk.” For some time now, ChatGPT has also included automated alerts to seek professional health services, should a conversation trend toward the topic of self-harm.

Crucially, Trust Contact is optional and, even if the protection is activated on a particular account, any user can have multiple ChatGPT accounts. OpenAI’s parental controls are also optional, presenting a similar limitation.

“Trusted Contact is part of OpenAI’s broader effort to build AI systems that help people during difficult moments,” the company wrote in the announcement post. “We will continue to work with clinicians, researchers, and policymakers to improve how AI systems respond when people may be experiencing distress.”

	
		
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When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#OpenAI #introduces #Trusted #Contact #safeguard #cases #selfharm #TechCrunchAI,ChatGPT,OpenAI
Image Credits:OpenAI

The Trusted Contact feature follows the safeguards the company introduced last September that gave parents the power to have some oversight of their teens’ accounts, including receiving safety notifications designed to alert the parent if OpenAI’s system believes their child is facing a “serious safety risk.” For some time now, ChatGPT has also included automated alerts to seek professional health services, should a conversation trend toward the topic of self-harm.

Crucially, Trust Contact is optional and, even if the protection is activated on a particular account, any user can have multiple ChatGPT accounts. OpenAI’s parental controls are also optional, presenting a similar limitation.

“Trusted Contact is part of OpenAI’s broader effort to build AI systems that help people during difficult moments,” the company wrote in the announcement post. “We will continue to work with clinicians, researchers, and policymakers to improve how AI systems respond when people may be experiencing distress.”

Techcrunch event

San Francisco, CA | October 13-15, 2026

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#OpenAI #introduces #Trusted #Contact #safeguard #cases #selfharm #TechCrunchAI,ChatGPT,OpenAI

On Thursday OpenAI announced a new feature called Trusted Contact, designed to alert a trusted…

updated Gemini for Home to Gemini 3.1, which it says will improve the smart home assistant’s ability to interpret and act on requests. The upgrade will also make Gemini for Home better at handling recurring and all-day events and allow users to “move around” upcoming events.

In addition to the Gemini upgrade, Google also announced improvements to the camera experience, new automation capabilities, and two public previews: Ask Home on Web and a new notification feature. Ask Home on Web will allow Google Home users to manage their smart home from a computer, including searching camera history with natural language, checking on devices, and creating automations. Google is also releasing a public preview for “improved and expanded notifications” that include “quick action” buttons that can be used for device control directly in the notification.

#Google #Homes #Gemini #handle #complicated #requestsAI,Google,News,Smart Home,Tech"> Google Home’s Gemini AI can handle more complicated requestsGoogle Home users can now ask Gemini to complete more complex, multi-step tasks and combine multiple tasks in a single command. Google has updated Gemini for Home to Gemini 3.1, which it says will improve the smart home assistant’s ability to interpret and act on requests. The upgrade will also make Gemini for Home better at handling recurring and all-day events and allow users to “move around” upcoming events.In addition to the Gemini upgrade, Google also announced improvements to the camera experience, new automation capabilities, and two public previews: Ask Home on Web and a new notification feature. Ask Home on Web will allow Google Home users to manage their smart home from a computer, including searching camera history with natural language, checking on devices, and creating automations. Google is also releasing a public preview for “improved and expanded notifications” that include “quick action” buttons that can be used for device control directly in the notification.#Google #Homes #Gemini #handle #complicated #requestsAI,Google,News,Smart Home,Tech
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updated Gemini for Home to Gemini 3.1, which it says will improve the smart home assistant’s ability to interpret and act on requests. The upgrade will also make Gemini for Home better at handling recurring and all-day events and allow users to “move around” upcoming events.

In addition to the Gemini upgrade, Google also announced improvements to the camera experience, new automation capabilities, and two public previews: Ask Home on Web and a new notification feature. Ask Home on Web will allow Google Home users to manage their smart home from a computer, including searching camera history with natural language, checking on devices, and creating automations. Google is also releasing a public preview for “improved and expanded notifications” that include “quick action” buttons that can be used for device control directly in the notification.

#Google #Homes #Gemini #handle #complicated #requestsAI,Google,News,Smart Home,Tech">Google Home’s Gemini AI can handle more complicated requests

Google Home users can now ask Gemini to complete more complex, multi-step tasks and combine multiple tasks in a single command. Google has updated Gemini for Home to Gemini 3.1, which it says will improve the smart home assistant’s ability to interpret and act on requests. The upgrade will also make Gemini for Home better at handling recurring and all-day events and allow users to “move around” upcoming events.

In addition to the Gemini upgrade, Google also announced improvements to the camera experience, new automation capabilities, and two public previews: Ask Home on Web and a new notification feature. Ask Home on Web will allow Google Home users to manage their smart home from a computer, including searching camera history with natural language, checking on devices, and creating automations. Google is also releasing a public preview for “improved and expanded notifications” that include “quick action” buttons that can be used for device control directly in the notification.

#Google #Homes #Gemini #handle #complicated #requestsAI,Google,News,Smart Home,Tech

Google Home users can now ask Gemini to complete more complex, multi-step tasks and combine…