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OpenAI Just Can’t Beat This TikToker Yesterday, OpenAI released its latest voice model, GPT-Live-1. The company called it “a new generation of voice models for natural human-AI interaction.” The full-duplex model allows ChatGPT to talk and listen at the same time, giving the back-and-forth a more conversational flow. It’s designed to be smarter, faster, and more natural. Sounds great! Let’s see how it handles the internet’s one-man voice model red team, TikToker @huskistaken (aka Husk), when he tests out its capabilities by giving the model something simple: Had to give the new voice model the classic test pic.twitter.com/fQYHbBRNuL — Husk (@huskirl) July 8, 2026 Ooh, so close. Husk gave ChatGPT the straightforward request to tell him how many times the letter E appears in the number “seventeen,” and the voice model managed to get halfway there by answering “two.” It then offered a very awkward sign-off when Husk ended the conversation. Maybe that’s a query that GPT-Live-2 will be able to handle. To be fair, Husk isn’t really testing any of the new features that OpenAI highlighted with the release of its new model, which, by most accounts, seems like it’s more capable when it comes to things like live translation than previous iterations. But he is giving the model a very simple benchmarking test that, despite being OpenAI’s flagship voice model, it still failed spectacularly. It seems OpenAI knows just how bad this looks, too. Jason Liu, a Developer Experience Engineer on OpenAI Codex, reposted the video with a very succinct, “FUCK.” Husk’s made a habit of terrorizing OpenAI over its voice model for some time now, making viral videos out of how poorly it handles certain prompts. One of his videos—in which he tasks ChatGPT with setting a timer and watching it fail—made it all the way to CEO Sam Altman, who tried to laugh it off in a very “I’m not mad, please don’t put in the newspaper that I got mad” kinda way. Husk is not alone in giving GPT-Live-1 the old stress test. Another user on X gave the model the “Strawberry” test, asking it to count the number of times the letter R appears in the word “strawberry.” It’s a classic, and one that most AI models can answer correctly by now (whether that’s because they really know there are 3 Rs or because they’ve been trained on how to respond to prevent embarrassment is another question), but GPT-Live-1 gets tripped up by it. OpenAI’s brand new voice model vs counting the r’s in strawberry. I really tried to help it along. pic.twitter.com/Pm0RfLyxIA — Himelstech (@himelstech) July 9, 2026 Another user noted a new annoyance that has arisen from the model’s full-duplex functionality: While the model now allows ChatGPT to say things like “mhm” and “yeah” while you talk to confirm it is listening, it apparently is incapable of simply shutting up and not doing that. It seems ChatGPT has built an interrupting machine. Just what we’ve all been waiting for. READ MORE: The Future Is Always Listening: OpenAI Says Its New Voice Assistant Is ‘One Step Closer to a Truly Accessible AGI’ OpenAI Is Tired of Seeing All Those Videos of People Clowning on Its Voice Mode #OpenAI #Beat #TikTokerartifical intelligence,ChatGPT,OpenAI,voice model

OpenAI Just Can’t Beat This TikTokerOpenAI Just Can’t Beat This TikToker Yesterday, OpenAI released its latest voice model, GPT-Live-1. The company called it “a new generation of voice models for natural human-AI interaction.” The full-duplex model allows ChatGPT to talk and listen at the same time, giving the back-and-forth a more conversational flow. It’s designed to be smarter, faster, and more natural. Sounds great! Let’s see how it handles the internet’s one-man voice model red team, TikToker @huskistaken (aka Husk), when he tests out its capabilities by giving the model something simple: Had to give the new voice model the classic test pic.twitter.com/fQYHbBRNuL — Husk (@huskirl) July 8, 2026 Ooh, so close. Husk gave ChatGPT the straightforward request to tell him how many times the letter E appears in the number “seventeen,” and the voice model managed to get halfway there by answering “two.” It then offered a very awkward sign-off when Husk ended the conversation. Maybe that’s a query that GPT-Live-2 will be able to handle. To be fair, Husk isn’t really testing any of the new features that OpenAI highlighted with the release of its new model, which, by most accounts, seems like it’s more capable when it comes to things like live translation than previous iterations. But he is giving the model a very simple benchmarking test that, despite being OpenAI’s flagship voice model, it still failed spectacularly. It seems OpenAI knows just how bad this looks, too. Jason Liu, a Developer Experience Engineer on OpenAI Codex, reposted the video with a very succinct, “FUCK.” Husk’s made a habit of terrorizing OpenAI over its voice model for some time now, making viral videos out of how poorly it handles certain prompts. One of his videos—in which he tasks ChatGPT with setting a timer and watching it fail—made it all the way to CEO Sam Altman, who tried to laugh it off in a very “I’m not mad, please don’t put in the newspaper that I got mad” kinda way. Husk is not alone in giving GPT-Live-1 the old stress test. Another user on X gave the model the “Strawberry” test, asking it to count the number of times the letter R appears in the word “strawberry.” It’s a classic, and one that most AI models can answer correctly by now (whether that’s because they really know there are 3 Rs or because they’ve been trained on how to respond to prevent embarrassment is another question), but GPT-Live-1 gets tripped up by it. OpenAI’s brand new voice model vs counting the r’s in strawberry. I really tried to help it along. pic.twitter.com/Pm0RfLyxIA — Himelstech (@himelstech) July 9, 2026 Another user noted a new annoyance that has arisen from the model’s full-duplex functionality: While the model now allows ChatGPT to say things like “mhm” and “yeah” while you talk to confirm it is listening, it apparently is incapable of simply shutting up and not doing that. It seems ChatGPT has built an interrupting machine. Just what we’ve all been waiting for. READ MORE: The Future Is Always Listening: OpenAI Says Its New Voice Assistant Is ‘One Step Closer to a Truly Accessible AGI’ OpenAI Is Tired of Seeing All Those Videos of People Clowning on Its Voice Mode #OpenAI #Beat #TikTokerartifical intelligence,ChatGPT,OpenAI,voice model

Yesterday, OpenAI released its latest voice model, GPT-Live-1. The company called it “a new generation of voice models for natural human-AI interaction.” The full-duplex model allows ChatGPT to talk and listen at the same time, giving the back-and-forth a more conversational flow. It’s designed to be smarter, faster, and more natural.

Sounds great! Let’s see how it handles the internet’s one-man voice model red team, TikToker @huskistaken (aka Husk), when he tests out its capabilities by giving the model something simple:

Ooh, so close. Husk gave ChatGPT the straightforward request to tell him how many times the letter E appears in the number “seventeen,” and the voice model managed to get halfway there by answering “two.” It then offered a very awkward sign-off when Husk ended the conversation. Maybe that’s a query that GPT-Live-2 will be able to handle.

To be fair, Husk isn’t really testing any of the new features that OpenAI highlighted with the release of its new model, which, by most accounts, seems like it’s more capable when it comes to things like live translation than previous iterations. But he is giving the model a very simple benchmarking test that, despite being OpenAI’s flagship voice model, it still failed spectacularly.

It seems OpenAI knows just how bad this looks, too. Jason Liu, a Developer Experience Engineer on OpenAI Codex, reposted the video with a very succinct, “FUCK.”

Husk’s made a habit of terrorizing OpenAI over its voice model for some time now, making viral videos out of how poorly it handles certain prompts. One of his videos—in which he tasks ChatGPT with setting a timer and watching it fail—made it all the way to CEO Sam Altman, who tried to laugh it off in a very “I’m not mad, please don’t put in the newspaper that I got mad” kinda way.

Husk is not alone in giving GPT-Live-1 the old stress test. Another user on X gave the model the “Strawberry” test, asking it to count the number of times the letter R appears in the word “strawberry.” It’s a classic, and one that most AI models can answer correctly by now (whether that’s because they really know there are 3 Rs or because they’ve been trained on how to respond to prevent embarrassment is another question), but GPT-Live-1 gets tripped up by it.

Another user noted a new annoyance that has arisen from the model’s full-duplex functionality: While the model now allows ChatGPT to say things like “mhm” and “yeah” while you talk to confirm it is listening, it apparently is incapable of simply shutting up and not doing that. It seems ChatGPT has built an interrupting machine. Just what we’ve all been waiting for.

READ MORE:

The Future Is Always Listening: OpenAI Says Its New Voice Assistant Is ‘One Step Closer to a Truly Accessible AGI’

OpenAI Is Tired of Seeing All Those Videos of People Clowning on Its Voice Mode

#OpenAI #Beat #TikTokerartifical intelligence,ChatGPT,OpenAI,voice model

Tech-news , , ,

Yesterday, OpenAI released its latest voice model, GPT-Live-1. The company called it “a new generation of voice models for natural human-AI interaction.” The full-duplex model allows ChatGPT to talk and listen at the same time, giving the back-and-forth a more conversational flow. It’s designed to be smarter, faster, and more natural.

Sounds great! Let’s see how it handles the internet’s one-man voice model red team, TikToker @huskistaken (aka Husk), when he tests out its capabilities by giving the model something simple:

Ooh, so close. Husk gave ChatGPT the straightforward request to tell him how many times the letter E appears in the number “seventeen,” and the voice model managed to get halfway there by answering “two.” It then offered a very awkward sign-off when Husk ended the conversation. Maybe that’s a query that GPT-Live-2 will be able to handle.

To be fair, Husk isn’t really testing any of the new features that OpenAI highlighted with the release of its new model, which, by most accounts, seems like it’s more capable when it comes to things like live translation than previous iterations. But he is giving the model a very simple benchmarking test that, despite being OpenAI’s flagship voice model, it still failed spectacularly.

It seems OpenAI knows just how bad this looks, too. Jason Liu, a Developer Experience Engineer on OpenAI Codex, reposted the video with a very succinct, “FUCK.”

Husk’s made a habit of terrorizing OpenAI over its voice model for some time now, making viral videos out of how poorly it handles certain prompts. One of his videos—in which he tasks ChatGPT with setting a timer and watching it fail—made it all the way to CEO Sam Altman, who tried to laugh it off in a very “I’m not mad, please don’t put in the newspaper that I got mad” kinda way.

Husk is not alone in giving GPT-Live-1 the old stress test. Another user on X gave the model the “Strawberry” test, asking it to count the number of times the letter R appears in the word “strawberry.” It’s a classic, and one that most AI models can answer correctly by now (whether that’s because they really know there are 3 Rs or because they’ve been trained on how to respond to prevent embarrassment is another question), but GPT-Live-1 gets tripped up by it.

Another user noted a new annoyance that has arisen from the model’s full-duplex functionality: While the model now allows ChatGPT to say things like “mhm” and “yeah” while you talk to confirm it is listening, it apparently is incapable of simply shutting up and not doing that. It seems ChatGPT has built an interrupting machine. Just what we’ve all been waiting for.

READ MORE:

The Future Is Always Listening: OpenAI Says Its New Voice Assistant Is ‘One Step Closer to a Truly Accessible AGI’

OpenAI Is Tired of Seeing All Those Videos of People Clowning on Its Voice Mode



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The price of eggs has become a marker of the state of the economy. But how about the cost of making eggs? Sure, you might be able to do it for next to nothing in your kitchen with nothing but a pan and a burner. But you could also pay $400 for a robot that will do it for you—as long as you don’t want your eggs scrambled, that is.

A new Kickstarter project has finally given us a Juicero for the robotics era, and it’s called E.G.O.R. (that’s Efficient Gastronomic Operational Robot), brought to you by the startup Cheffy. It’s an automated egg maker that promises perfect cracks every time with no shell in the yolk. It has seven different ways that it can cook them up for you, or you can just use it to do the cracking. You can also pair it with a toaster so your eggs and toast finish at the exact right time.

This isn’t something anyone really needs. Cooking an egg over easy takes about two minutes, so calling this a time-saver is a stretch. And if you really don’t want to use the stove, you can buy a basic egg cooker for around $20 almost anywhere. Maybe you’re bad at cracking eggs, but $400 (well, $200 if you get in on the early bird deal) is a lot to pay to not have to pick the occasional shell pieces out.

But hey, the robotics era needed its Juicero moment. To the creator’s credit: it seems like they’re treating this more like a fun novelty (albeit a pretty pricey one) rather than something revolutionary. They also aren’t making you buy proprietary eggs that are required to make the machine work, so they’ve got the Juicero bros beat there.

We’re increasingly seeing robots positioned to do basic tasks. A company called Weave got attention earlier this year with an $8,000 robot that folds clothes. There’s a company in San Francisco offering house cleanings performed by humanoid robots. Last year, 1x made waves by introducing its Neo humanoid robot, which the Wall Street Journal reported “nearly toppled over” while closing a dishwasher and struggled to open the refrigerator.

All of these machines cost an inordinate amount of money to do things that do not cost the average person that much time or money to accomplish. They’re novel, sure. But you don’t have to pay a premium to be a beta tester.

#Robot #Revolution #Juiceroartifical intelligence,automation,Robotics">The Robot Revolution Gets Its Own Juicero The price of eggs has become a marker of the state of the economy. But how about the cost of making eggs? Sure, you might be able to do it for next to nothing in your kitchen with nothing but a pan and a burner. But you could also pay 0 for a robot that will do it for you—as long as you don’t want your eggs scrambled, that is. A new Kickstarter project has finally given us a Juicero for the robotics era, and it’s called E.G.O.R. (that’s Efficient Gastronomic Operational Robot), brought to you by the startup Cheffy. It’s an automated egg maker that promises perfect cracks every time with no shell in the yolk. It has seven different ways that it can cook them up for you, or you can just use it to do the cracking. You can also pair it with a toaster so your eggs and toast finish at the exact right time. NEW: Cheffy just launched a robot that cracks and cooks your eggs. Egor automates breakfast by cooking eggs 7 ways, while Toastr syncs your toast so everything finishes together. -Automatically cracks eggs with no shells or mess-Cooks eggs 7 ways, from sunny-side up to hard… pic.twitter.com/auE3SnfrS3 — Ritwik Pavan (@ritwikpavan) July 30, 2026 This isn’t something anyone really needs. Cooking an egg over easy takes about two minutes, so calling this a time-saver is a stretch. And if you really don’t want to use the stove, you can buy a basic egg cooker for around almost anywhere. Maybe you’re bad at cracking eggs, but 0 (well, 0 if you get in on the early bird deal) is a lot to pay to not have to pick the occasional shell pieces out. But hey, the robotics era needed its Juicero moment. To the creator’s credit: it seems like they’re treating this more like a fun novelty (albeit a pretty pricey one) rather than something revolutionary. They also aren’t making you buy proprietary eggs that are required to make the machine work, so they’ve got the Juicero bros beat there. We’re increasingly seeing robots positioned to do basic tasks. A company called Weave got attention earlier this year with an ,000 robot that folds clothes. There’s a company in San Francisco offering house cleanings performed by humanoid robots. Last year, 1x made waves by introducing its Neo humanoid robot, which the Wall Street Journal reported “nearly toppled over” while closing a dishwasher and struggled to open the refrigerator. All of these machines cost an inordinate amount of money to do things that do not cost the average person that much time or money to accomplish. They’re novel, sure. But you don’t have to pay a premium to be a beta tester. #Robot #Revolution #Juiceroartifical intelligence,automation,Robotics

Kickstarter project has finally given us a Juicero for the robotics era, and it’s called E.G.O.R. (that’s Efficient Gastronomic Operational Robot), brought to you by the startup Cheffy. It’s an automated egg maker that promises perfect cracks every time with no shell in the yolk. It has seven different ways that it can cook them up for you, or you can just use it to do the cracking. You can also pair it with a toaster so your eggs and toast finish at the exact right time.

This isn’t something anyone really needs. Cooking an egg over easy takes about two minutes, so calling this a time-saver is a stretch. And if you really don’t want to use the stove, you can buy a basic egg cooker for around $20 almost anywhere. Maybe you’re bad at cracking eggs, but $400 (well, $200 if you get in on the early bird deal) is a lot to pay to not have to pick the occasional shell pieces out.

But hey, the robotics era needed its Juicero moment. To the creator’s credit: it seems like they’re treating this more like a fun novelty (albeit a pretty pricey one) rather than something revolutionary. They also aren’t making you buy proprietary eggs that are required to make the machine work, so they’ve got the Juicero bros beat there.

We’re increasingly seeing robots positioned to do basic tasks. A company called Weave got attention earlier this year with an $8,000 robot that folds clothes. There’s a company in San Francisco offering house cleanings performed by humanoid robots. Last year, 1x made waves by introducing its Neo humanoid robot, which the Wall Street Journal reported “nearly toppled over” while closing a dishwasher and struggled to open the refrigerator.

All of these machines cost an inordinate amount of money to do things that do not cost the average person that much time or money to accomplish. They’re novel, sure. But you don’t have to pay a premium to be a beta tester.

#Robot #Revolution #Juiceroartifical intelligence,automation,Robotics">The Robot Revolution Gets Its Own JuiceroThe Robot Revolution Gets Its Own Juicero The price of eggs has become a marker of the state of the economy. But how about the cost of making eggs? Sure, you might be able to do it for next to nothing in your kitchen with nothing but a pan and a burner. But you could also pay $400 for a robot that will do it for you—as long as you don’t want your eggs scrambled, that is. A new Kickstarter project has finally given us a Juicero for the robotics era, and it’s called E.G.O.R. (that’s Efficient Gastronomic Operational Robot), brought to you by the startup Cheffy. It’s an automated egg maker that promises perfect cracks every time with no shell in the yolk. It has seven different ways that it can cook them up for you, or you can just use it to do the cracking. You can also pair it with a toaster so your eggs and toast finish at the exact right time. NEW: Cheffy just launched a robot that cracks and cooks your eggs. Egor automates breakfast by cooking eggs 7 ways, while Toastr syncs your toast so everything finishes together. -Automatically cracks eggs with no shells or mess-Cooks eggs 7 ways, from sunny-side up to hard… pic.twitter.com/auE3SnfrS3 — Ritwik Pavan (@ritwikpavan) July 30, 2026 This isn’t something anyone really needs. Cooking an egg over easy takes about two minutes, so calling this a time-saver is a stretch. And if you really don’t want to use the stove, you can buy a basic egg cooker for around $20 almost anywhere. Maybe you’re bad at cracking eggs, but $400 (well, $200 if you get in on the early bird deal) is a lot to pay to not have to pick the occasional shell pieces out. But hey, the robotics era needed its Juicero moment. To the creator’s credit: it seems like they’re treating this more like a fun novelty (albeit a pretty pricey one) rather than something revolutionary. They also aren’t making you buy proprietary eggs that are required to make the machine work, so they’ve got the Juicero bros beat there. We’re increasingly seeing robots positioned to do basic tasks. A company called Weave got attention earlier this year with an $8,000 robot that folds clothes. There’s a company in San Francisco offering house cleanings performed by humanoid robots. Last year, 1x made waves by introducing its Neo humanoid robot, which the Wall Street Journal reported “nearly toppled over” while closing a dishwasher and struggled to open the refrigerator. All of these machines cost an inordinate amount of money to do things that do not cost the average person that much time or money to accomplish. They’re novel, sure. But you don’t have to pay a premium to be a beta tester. #Robot #Revolution #Juiceroartifical intelligence,automation,Robotics

The price of eggs has become a marker of the state of the economy. But how about the cost of making eggs? Sure, you might be able to do it for next to nothing in your kitchen with nothing but a pan and a burner. But you could also pay $400 for a robot that will do it for you—as long as you don’t want your eggs scrambled, that is.

A new Kickstarter project has finally given us a Juicero for the robotics era, and it’s called E.G.O.R. (that’s Efficient Gastronomic Operational Robot), brought to you by the startup Cheffy. It’s an automated egg maker that promises perfect cracks every time with no shell in the yolk. It has seven different ways that it can cook them up for you, or you can just use it to do the cracking. You can also pair it with a toaster so your eggs and toast finish at the exact right time.

This isn’t something anyone really needs. Cooking an egg over easy takes about two minutes, so calling this a time-saver is a stretch. And if you really don’t want to use the stove, you can buy a basic egg cooker for around $20 almost anywhere. Maybe you’re bad at cracking eggs, but $400 (well, $200 if you get in on the early bird deal) is a lot to pay to not have to pick the occasional shell pieces out.

But hey, the robotics era needed its Juicero moment. To the creator’s credit: it seems like they’re treating this more like a fun novelty (albeit a pretty pricey one) rather than something revolutionary. They also aren’t making you buy proprietary eggs that are required to make the machine work, so they’ve got the Juicero bros beat there.

We’re increasingly seeing robots positioned to do basic tasks. A company called Weave got attention earlier this year with an $8,000 robot that folds clothes. There’s a company in San Francisco offering house cleanings performed by humanoid robots. Last year, 1x made waves by introducing its Neo humanoid robot, which the Wall Street Journal reported “nearly toppled over” while closing a dishwasher and struggled to open the refrigerator.

All of these machines cost an inordinate amount of money to do things that do not cost the average person that much time or money to accomplish. They’re novel, sure. But you don’t have to pay a premium to be a beta tester.

#Robot #Revolution #Juiceroartifical intelligence,automation,Robotics

The prevailing narrative in Silicon Valley is that Chinese AI models like Kimi K3 and DeepSeek R1 came out of nowhere. But the truth is that even if you never travel to China, there’s an easy way to get a sense of what Chinese AI researchers are up to: log on to X.

In the past year, I’ve seen a steady increase of Chinese artificial intelligence researchers joining X and participating in the wider discourse about AI development and commercialization. Take Moonshot AI, the company behind Kimi K3, as an example. On Thursday, I was able to quickly find around 30 accounts on X run by people who claim to be currently affiliated with Moonshot, including two of the startup’s cofounders, as well as half a dozen former employees and collaborators. And these are not dormant accounts: They talk about Moonshot’s big releases and incremental research papers, make friends with Western researchers, and share details about their personal life and hobbies.

Moonshot is arguably the Chinese AI lab that’s most active on X, but you will easily find executives and technical staff from other leading Chinese startups, like Minimax and Z.ai. Even several employees at DeepSeek, who reportedly are unable to leave China because the government confiscated their passports, regularly post on X about the latest AI news and share job listings to recruit new talent.

“X is the best community” for AI discussions right now, says Meng Fanqing, cofounder of the startup Evolvent AI and a former intern at Moonshot, where he worked on the Kimi K2.5 model. “There are both Chinese and overseas audiences, and the recommendation algorithm works pretty well for showing you content in the same circle that you are in,” he says. Compared with Chinese platforms, where it’s often hard to have serious technical discussions, Chinese researchers like Meng say they would rather spend their time on X.

Meng says he started actively posting on X in mid-2025. At the start of the year, DeepSeek’s R1 model went viral around the world, shining a bright spotlight on China’s AI industry. Many Chinese researchers seized the moment and joined X to start sharing their perspective. “Around that time, all the Chinese researchers are starting to think about branding on an international level,” Meng says.

Chinese AI researchers may also be helping fill a growing gap left by researchers at OpenAI and Anthropic, who have become more reluctant to share their thinking online as their employers have grown into behemoth companies, says Tiezhen Wang, an independent AI analyst and former researcher at Hugging Face. “I guess they feel that their model architecture and how they train the model is kind of a secret, so they’re posting less,” Wang explains. As a result, Chinese researchers are getting more attention from audiences on X who are hungry to make sense of what’s happening in the fast-moving world of AI.

Why Choose X?

One reason X may have become popular among Chinese AI researchers is that there’s not really a comparable social platform in China for high-quality technical discussions about AI and other emerging technologies.

Some people say they used to post on Zhihu, a Quora-like platform that once branded itself as the premier destination for educated professionals to show and tell. But since 2020, Zhihu has increasingly pivoted to hosting fiction content, and expert contributors have gradually fallen off. For example, Deng Yu, a Chinese mathematician who was awarded a Fields Medal this year, publicly wrote on Zhihu in 2018 that he decided to stop posting on the site due to the rise of low-quality content.

#Chinese #Researchers #Finding #Voicemade in china,china,artificial intelligence,x,twitter,rednote,deepseek">Chinese AI Researchers Are Finding Their Voice on XThe prevailing narrative in Silicon Valley is that Chinese AI models like Kimi K3 and DeepSeek R1 came out of nowhere. But the truth is that even if you never travel to China, there’s an easy way to get a sense of what Chinese AI researchers are up to: log on to X.In the past year, I’ve seen a steady increase of Chinese artificial intelligence researchers joining X and participating in the wider discourse about AI development and commercialization. Take Moonshot AI, the company behind Kimi K3, as an example. On Thursday, I was able to quickly find around 30 accounts on X run by people who claim to be currently affiliated with Moonshot, including two of the startup’s cofounders, as well as half a dozen former employees and collaborators. And these are not dormant accounts: They talk about Moonshot’s big releases and incremental research papers, make friends with Western researchers, and share details about their personal life and hobbies.Moonshot is arguably the Chinese AI lab that’s most active on X, but you will easily find executives and technical staff from other leading Chinese startups, like Minimax and Z.ai. Even several employees at DeepSeek, who reportedly are unable to leave China because the government confiscated their passports, regularly post on X about the latest AI news and share job listings to recruit new talent.“X is the best community” for AI discussions right now, says Meng Fanqing, cofounder of the startup Evolvent AI and a former intern at Moonshot, where he worked on the Kimi K2.5 model. “There are both Chinese and overseas audiences, and the recommendation algorithm works pretty well for showing you content in the same circle that you are in,” he says. Compared with Chinese platforms, where it’s often hard to have serious technical discussions, Chinese researchers like Meng say they would rather spend their time on X.Meng says he started actively posting on X in mid-2025. At the start of the year, DeepSeek’s R1 model went viral around the world, shining a bright spotlight on China’s AI industry. Many Chinese researchers seized the moment and joined X to start sharing their perspective. “Around that time, all the Chinese researchers are starting to think about branding on an international level,” Meng says.Chinese AI researchers may also be helping fill a growing gap left by researchers at OpenAI and Anthropic, who have become more reluctant to share their thinking online as their employers have grown into behemoth companies, says Tiezhen Wang, an independent AI analyst and former researcher at Hugging Face. “I guess they feel that their model architecture and how they train the model is kind of a secret, so they’re posting less,” Wang explains. As a result, Chinese researchers are getting more attention from audiences on X who are hungry to make sense of what’s happening in the fast-moving world of AI.Why Choose X?One reason X may have become popular among Chinese AI researchers is that there’s not really a comparable social platform in China for high-quality technical discussions about AI and other emerging technologies.Some people say they used to post on Zhihu, a Quora-like platform that once branded itself as the premier destination for educated professionals to show and tell. But since 2020, Zhihu has increasingly pivoted to hosting fiction content, and expert contributors have gradually fallen off. For example, Deng Yu, a Chinese mathematician who was awarded a Fields Medal this year, publicly wrote on Zhihu in 2018 that he decided to stop posting on the site due to the rise of low-quality content.#Chinese #Researchers #Finding #Voicemade in china,china,artificial intelligence,x,twitter,rednote,deepseek

Chinese AI models like Kimi K3 and DeepSeek R1 came out of nowhere. But the truth is that even if you never travel to China, there’s an easy way to get a sense of what Chinese AI researchers are up to: log on to X.

In the past year, I’ve seen a steady increase of Chinese artificial intelligence researchers joining X and participating in the wider discourse about AI development and commercialization. Take Moonshot AI, the company behind Kimi K3, as an example. On Thursday, I was able to quickly find around 30 accounts on X run by people who claim to be currently affiliated with Moonshot, including two of the startup’s cofounders, as well as half a dozen former employees and collaborators. And these are not dormant accounts: They talk about Moonshot’s big releases and incremental research papers, make friends with Western researchers, and share details about their personal life and hobbies.

Moonshot is arguably the Chinese AI lab that’s most active on X, but you will easily find executives and technical staff from other leading Chinese startups, like Minimax and Z.ai. Even several employees at DeepSeek, who reportedly are unable to leave China because the government confiscated their passports, regularly post on X about the latest AI news and share job listings to recruit new talent.

“X is the best community” for AI discussions right now, says Meng Fanqing, cofounder of the startup Evolvent AI and a former intern at Moonshot, where he worked on the Kimi K2.5 model. “There are both Chinese and overseas audiences, and the recommendation algorithm works pretty well for showing you content in the same circle that you are in,” he says. Compared with Chinese platforms, where it’s often hard to have serious technical discussions, Chinese researchers like Meng say they would rather spend their time on X.

Meng says he started actively posting on X in mid-2025. At the start of the year, DeepSeek’s R1 model went viral around the world, shining a bright spotlight on China’s AI industry. Many Chinese researchers seized the moment and joined X to start sharing their perspective. “Around that time, all the Chinese researchers are starting to think about branding on an international level,” Meng says.

Chinese AI researchers may also be helping fill a growing gap left by researchers at OpenAI and Anthropic, who have become more reluctant to share their thinking online as their employers have grown into behemoth companies, says Tiezhen Wang, an independent AI analyst and former researcher at Hugging Face. “I guess they feel that their model architecture and how they train the model is kind of a secret, so they’re posting less,” Wang explains. As a result, Chinese researchers are getting more attention from audiences on X who are hungry to make sense of what’s happening in the fast-moving world of AI.

Why Choose X?

One reason X may have become popular among Chinese AI researchers is that there’s not really a comparable social platform in China for high-quality technical discussions about AI and other emerging technologies.

Some people say they used to post on Zhihu, a Quora-like platform that once branded itself as the premier destination for educated professionals to show and tell. But since 2020, Zhihu has increasingly pivoted to hosting fiction content, and expert contributors have gradually fallen off. For example, Deng Yu, a Chinese mathematician who was awarded a Fields Medal this year, publicly wrote on Zhihu in 2018 that he decided to stop posting on the site due to the rise of low-quality content.

#Chinese #Researchers #Finding #Voicemade in china,china,artificial intelligence,x,twitter,rednote,deepseek">Chinese AI Researchers Are Finding Their Voice on X

The prevailing narrative in Silicon Valley is that Chinese AI models like Kimi K3 and DeepSeek R1 came out of nowhere. But the truth is that even if you never travel to China, there’s an easy way to get a sense of what Chinese AI researchers are up to: log on to X.

In the past year, I’ve seen a steady increase of Chinese artificial intelligence researchers joining X and participating in the wider discourse about AI development and commercialization. Take Moonshot AI, the company behind Kimi K3, as an example. On Thursday, I was able to quickly find around 30 accounts on X run by people who claim to be currently affiliated with Moonshot, including two of the startup’s cofounders, as well as half a dozen former employees and collaborators. And these are not dormant accounts: They talk about Moonshot’s big releases and incremental research papers, make friends with Western researchers, and share details about their personal life and hobbies.

Moonshot is arguably the Chinese AI lab that’s most active on X, but you will easily find executives and technical staff from other leading Chinese startups, like Minimax and Z.ai. Even several employees at DeepSeek, who reportedly are unable to leave China because the government confiscated their passports, regularly post on X about the latest AI news and share job listings to recruit new talent.

“X is the best community” for AI discussions right now, says Meng Fanqing, cofounder of the startup Evolvent AI and a former intern at Moonshot, where he worked on the Kimi K2.5 model. “There are both Chinese and overseas audiences, and the recommendation algorithm works pretty well for showing you content in the same circle that you are in,” he says. Compared with Chinese platforms, where it’s often hard to have serious technical discussions, Chinese researchers like Meng say they would rather spend their time on X.

Meng says he started actively posting on X in mid-2025. At the start of the year, DeepSeek’s R1 model went viral around the world, shining a bright spotlight on China’s AI industry. Many Chinese researchers seized the moment and joined X to start sharing their perspective. “Around that time, all the Chinese researchers are starting to think about branding on an international level,” Meng says.

Chinese AI researchers may also be helping fill a growing gap left by researchers at OpenAI and Anthropic, who have become more reluctant to share their thinking online as their employers have grown into behemoth companies, says Tiezhen Wang, an independent AI analyst and former researcher at Hugging Face. “I guess they feel that their model architecture and how they train the model is kind of a secret, so they’re posting less,” Wang explains. As a result, Chinese researchers are getting more attention from audiences on X who are hungry to make sense of what’s happening in the fast-moving world of AI.

Why Choose X?

One reason X may have become popular among Chinese AI researchers is that there’s not really a comparable social platform in China for high-quality technical discussions about AI and other emerging technologies.

Some people say they used to post on Zhihu, a Quora-like platform that once branded itself as the premier destination for educated professionals to show and tell. But since 2020, Zhihu has increasingly pivoted to hosting fiction content, and expert contributors have gradually fallen off. For example, Deng Yu, a Chinese mathematician who was awarded a Fields Medal this year, publicly wrote on Zhihu in 2018 that he decided to stop posting on the site due to the rise of low-quality content.

#Chinese #Researchers #Finding #Voicemade in china,china,artificial intelligence,x,twitter,rednote,deepseek

If your T-Mobile service was disrupted on Monday, you may be able to get some compensation for your troubles.

Multiple outlets, including KTLA in Los Angeles, have reported that some T-Mobile customers have been able to get at least $20 off their next bill because of the outage. One Reddit user said they were able to save as much as $80 (spread out over multiple billing cycles) by telling customer service that they missed out on a work opportunity because of the outage.

SEE ALSO: T-Mobile is giving away the Apple iPhone 17 for free — how to qualify

Generally, it seems that these credits are not automatic, and you may have to personally contact T-Mobile customer service to be compensated for your troubles.

After a major Verizon mobile outage in January, Verizon offered all affected customers a $20 credit.

Millions of T-Mobile users found their phones stuck in SOS mode on Monday afternoon, which led to plenty of criticism of the brand on social media. T-Mobile did acknowledge and apologize for the outage, though it has not explained what happened.

Mashable contacted T-Mobile repeatedly to ask about the outage and its causes, but so far, the company has been silent. The most recent post at the T-Mobile news page is the company’s Q2 2026 earnings report, in which the company saw growing revenue and profits, with total revenue for the quarter of $22.7 billion.

#TMobile #outage #credit #bill">T-Mobile outage: You might be able to get credit on your bill If your T-Mobile service was disrupted on Monday, you may be able to get some compensation for your troubles.Multiple outlets, including KTLA in Los Angeles, have reported that some T-Mobile customers have been able to get at least off their next bill because of the outage. One Reddit user said they were able to save as much as (spread out over multiple billing cycles) by telling customer service that they missed out on a work opportunity because of the outage. SEE ALSO: T-Mobile is giving away the Apple iPhone 17 for free — how to qualify Generally, it seems that these credits are not automatic, and you may have to personally contact T-Mobile customer service to be compensated for your troubles. Mashable Light Speed After a major Verizon mobile outage in January, Verizon offered all affected customers a credit.Millions of T-Mobile users found their phones stuck in SOS mode on Monday afternoon, which led to plenty of criticism of the brand on social media. T-Mobile did acknowledge and apologize for the outage, though it has not explained what happened. This Tweet is currently unavailable. It might be loading or has been removed. Mashable contacted T-Mobile repeatedly to ask about the outage and its causes, but so far, the company has been silent. The most recent post at the T-Mobile news page is the company’s Q2 2026 earnings report, in which the company saw growing revenue and profits, with total revenue for the quarter of .7 billion. #TMobile #outage #credit #bill

T-Mobile service was disrupted on Monday, you may be able to get some compensation for your troubles.

Multiple outlets, including KTLA in Los Angeles, have reported that some T-Mobile customers have been able to get at least $20 off their next bill because of the outage. One Reddit user said they were able to save as much as $80 (spread out over multiple billing cycles) by telling customer service that they missed out on a work opportunity because of the outage.

SEE ALSO: T-Mobile is giving away the Apple iPhone 17 for free — how to qualify

Generally, it seems that these credits are not automatic, and you may have to personally contact T-Mobile customer service to be compensated for your troubles.

After a major Verizon mobile outage in January, Verizon offered all affected customers a $20 credit.

Millions of T-Mobile users found their phones stuck in SOS mode on Monday afternoon, which led to plenty of criticism of the brand on social media. T-Mobile did acknowledge and apologize for the outage, though it has not explained what happened.

Mashable contacted T-Mobile repeatedly to ask about the outage and its causes, but so far, the company has been silent. The most recent post at the T-Mobile news page is the company’s Q2 2026 earnings report, in which the company saw growing revenue and profits, with total revenue for the quarter of $22.7 billion.

#TMobile #outage #credit #bill">T-Mobile outage: You might be able to get credit on your bill

If your T-Mobile service was disrupted on Monday, you may be able to get some compensation for your troubles.

Multiple outlets, including KTLA in Los Angeles, have reported that some T-Mobile customers have been able to get at least $20 off their next bill because of the outage. One Reddit user said they were able to save as much as $80 (spread out over multiple billing cycles) by telling customer service that they missed out on a work opportunity because of the outage.

SEE ALSO: T-Mobile is giving away the Apple iPhone 17 for free — how to qualify

Generally, it seems that these credits are not automatic, and you may have to personally contact T-Mobile customer service to be compensated for your troubles.

After a major Verizon mobile outage in January, Verizon offered all affected customers a $20 credit.

Millions of T-Mobile users found their phones stuck in SOS mode on Monday afternoon, which led to plenty of criticism of the brand on social media. T-Mobile did acknowledge and apologize for the outage, though it has not explained what happened.

Mashable contacted T-Mobile repeatedly to ask about the outage and its causes, but so far, the company has been silent. The most recent post at the T-Mobile news page is the company’s Q2 2026 earnings report, in which the company saw growing revenue and profits, with total revenue for the quarter of $22.7 billion.

#TMobile #outage #credit #bill

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