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tricky to access and repair, much less install. But alternatives aren’t easy to find: Radio transmissions don’t have the bandwidth, which rules out most wireless approaches on the ground or in orbit. But now, maybe lasers could do the job.

Endeavor Optical Networks, a start-up founded in May and emerging from stealth today with $10.75 million in seed funding from General Catalyst and Andreessen Horowitz, is betting on that plan. The co-founders, CEO Charlie Horowitz and CTO Tyler Presser, aim to launch a network of laser-equipped spacecraft to link data centers from orbit.

Most satellite communications networks, even those that provide broadband internet service, aren’t robust enough to carry data at 200 terabits a second or more, the speed of undersea fiber.

However, more powerful satellites and advances in optical technology are making space-to-ground communications with lasers more feasible. NASA used laser comms to beam back data from its most recent Moon mission, while a handful of private space companies, including York, Kepler, and Cailabs, have demonstrated links between Earth orbit and the ground.

Those connections, however, aimed for a throughput of 2.5 Gbps, and EON has a bigger starting goal, Horowitz says: Throughput of 2.4 terabits a second. That will require some secret sauce to deal with one of the biggest problems with laser comms—how the signal is distorted by the atmosphere as it passes through it, particularly when clouds are blocking the way.

EON intends to build a network of about 20 satellites, each able to provide a dedicated link between two continents, with the initial fleet providing 24 hour coverage for early customers. The company will carefully choose ground stations in different regions to serve local data centers and CDNs, using redundant sites and leveraging weather data to ensure a reliable link.

The startup is talking to hyperscalers and AI labs as customers, since they move more data than anyone else, with the focus on underserved or expensive routes: Lengthy ones, like France to Australia, or those without extensive existing infrastructure, like crossing between Africa and South America. They plan to sell dedicated capacity to entice customers interested in full control of their data transit.

First, though, EON will use its seed round to build out an optics lab, hire more engineers, and perform ground tests ahead of a demo satellite they hope to launch around the end of 2027. Horowitz expects that spacecraft to offer the highest optical downlink throughput yet seen—at least 800 gigs and perhaps a terabit.

Doing that will require careful engineering. EON will focus on producing the optical communications terminal, carefully allocating spending to the components that must be exquisite, like the gimbals that will point the laser. The company plans to buy powerful off-the-shelf satellite busses, like those made by Apex Space, Horowitz’s previous employer.

Horowitz served as Apex CEO Ian Cinnamon’s chief of staff and then as the company’s director of special projects. “Charlie is a force of nature—he can move seamlessly from strategy to the details required to make something real,” Cinnamon told TechCrunch. “Charlie is the ideal founder, and I invested personally because I believe deeply in Charlie and what he’s building at EON with Tyler.”

In addition to Pressler, a PhD astronautical engineer who has planned frontier missions for NASA, the company’s technical bench includes Michael David Francois, a long-time Google executive focused on global network infrastructure, and Wesley Baxter, an optics engineer who most recently worked on Amazon’s LEO satellite network.

Jeannette zu Fürstenburg, the General Catalyst partner who led the investment, said she sees it uniting the fund’s two key themes—AI and resilience.

“I don’t worry about demand,” she told TechCrunch. “I think all of that will solve for itself. It’s really all about can you actually get this thing into space in the time that we discussed? We really think about founder-product fit, [Horowitz] is just the right caliber of guy to go after a problem like this.”

They aren’t the only one chasing this problem—Blue Origin, Jeff Bezos’ space company, has announced plans for TeraWave, a 5,048 satellite network that aims to provide speeds of up to 6 Tbps to large-scale users. Blue’s plan is more ambitious, but will also require more time to launch and deploy. EON’s smaller fleet of satellites should be easier to get into space quickly, but they will need to solve many of the same technical challenges.

“Data centers have high standards for quality and redundancy,” points out Caleb Henry, the director of research at Quilty Space. “Satellite internet is just now progressing from a technology of last resort to dependable, high-bandwidth infrastructure. That’s not to say it will be impossible to make satellites optimized for data center connectivity, just that it will be harder and take longer than most entrepreneurs suggest.”

Still, a project like may be more practical compared to the popular idea of building the data centers themselves in space.

“We have one rule at the company: no physics problems,” Horowitz says. “There’s a market that exists today that we can go serve. Down the road, we’ll go and take on more as it comes, but we know that this is a problem that exists today, that’s only getting worse. That’s our bet—more data is moving terrestrially than ever.”

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

#EON #move #data #superhighway #ocean #fiber #space #lasers #TechCrunchExclusive"> EON wants to move the data superhighway from ocean fiber to space lasers | TechCrunch As hyperscalers build out data centers around the world, they need to move the bits back and forth, and that often relies on a somewhat brittle network of undersea fiberoptic cables crisscrossing the oceans. Those cables are tricky to access and repair, much less install. But alternatives aren’t easy to find: Radio transmissions don’t have the bandwidth, which rules out most wireless approaches on the ground or in orbit. But now, maybe lasers could do the job. Endeavor Optical Networks, a start-up founded in May and emerging from stealth today with .75 million in seed funding from General Catalyst and Andreessen Horowitz, is betting on that plan. The co-founders, CEO Charlie Horowitz and CTO Tyler Presser, aim to launch a network of laser-equipped spacecraft to link data centers from orbit. Most satellite communications networks, even those that provide broadband internet service, aren’t robust enough to carry data at 200 terabits a second or more, the speed of undersea fiber. However, more powerful satellites and advances in optical technology are making space-to-ground communications with lasers more feasible. NASA used laser comms to beam back data from its most recent Moon mission, while a handful of private space companies, including York, Kepler, and Cailabs, have demonstrated links between Earth orbit and the ground. Those connections, however, aimed for a throughput of 2.5 Gbps, and EON has a bigger starting goal, Horowitz says: Throughput of 2.4 terabits a second. That will require some secret sauce to deal with one of the biggest problems with laser comms—how the signal is distorted by the atmosphere as it passes through it, particularly when clouds are blocking the way. EON intends to build a network of about 20 satellites, each able to provide a dedicated link between two continents, with the initial fleet providing 24 hour coverage for early customers. The company will carefully choose ground stations in different regions to serve local data centers and CDNs, using redundant sites and leveraging weather data to ensure a reliable link. The startup is talking to hyperscalers and AI labs as customers, since they move more data than anyone else, with the focus on underserved or expensive routes: Lengthy ones, like France to Australia, or those without extensive existing infrastructure, like crossing between Africa and South America. They plan to sell dedicated capacity to entice customers interested in full control of their data transit. First, though, EON will use its seed round to build out an optics lab, hire more engineers, and perform ground tests ahead of a demo satellite they hope to launch around the end of 2027. Horowitz expects that spacecraft to offer the highest optical downlink throughput yet seen—at least 800 gigs and perhaps a terabit. Doing that will require careful engineering. EON will focus on producing the optical communications terminal, carefully allocating spending to the components that must be exquisite, like the gimbals that will point the laser. The company plans to buy powerful off-the-shelf satellite busses, like those made by Apex Space, Horowitz’s previous employer. Horowitz served as Apex CEO Ian Cinnamon’s chief of staff and then as the company’s director of special projects. “Charlie is a force of nature—he can move seamlessly from strategy to the details required to make something real,” Cinnamon told TechCrunch. “Charlie is the ideal founder, and I invested personally because I believe deeply in Charlie and what he’s building at EON with Tyler.” In addition to Pressler, a PhD astronautical engineer who has planned frontier missions for NASA, the company’s technical bench includes Michael David Francois, a long-time Google executive focused on global network infrastructure, and Wesley Baxter, an optics engineer who most recently worked on Amazon’s LEO satellite network. Jeannette zu Fürstenburg, the General Catalyst partner who led the investment, said she sees it uniting the fund’s two key themes—AI and resilience. “I don’t worry about demand,” she told TechCrunch. “I think all of that will solve for itself. It’s really all about can you actually get this thing into space in the time that we discussed? We really think about founder-product fit, [Horowitz] is just the right caliber of guy to go after a problem like this.” They aren’t the only one chasing this problem—Blue Origin, Jeff Bezos’ space company, has announced plans for TeraWave, a 5,048 satellite network that aims to provide speeds of up to 6 Tbps to large-scale users. Blue’s plan is more ambitious, but will also require more time to launch and deploy. EON’s smaller fleet of satellites should be easier to get into space quickly, but they will need to solve many of the same technical challenges. “Data centers have high standards for quality and redundancy,” points out Caleb Henry, the director of research at Quilty Space. “Satellite internet is just now progressing from a technology of last resort to dependable, high-bandwidth infrastructure. That’s not to say it will be impossible to make satellites optimized for data center connectivity, just that it will be harder and take longer than most entrepreneurs suggest.”Still, a project like may be more practical compared to the popular idea of building the data centers themselves in space. “We have one rule at the company: no physics problems,” Horowitz says. “There’s a market that exists today that we can go serve. Down the road, we’ll go and take on more as it comes, but we know that this is a problem that exists today, that’s only getting worse. That’s our bet—more data is moving terrestrially than ever.” When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#EON #move #data #superhighway #ocean #fiber #space #lasers #TechCrunchExclusive
Tech-news

tricky to access and repair, much less install. But alternatives aren’t easy to find: Radio transmissions don’t have the bandwidth, which rules out most wireless approaches on the ground or in orbit. But now, maybe lasers could do the job.

Endeavor Optical Networks, a start-up founded in May and emerging from stealth today with $10.75 million in seed funding from General Catalyst and Andreessen Horowitz, is betting on that plan. The co-founders, CEO Charlie Horowitz and CTO Tyler Presser, aim to launch a network of laser-equipped spacecraft to link data centers from orbit.

Most satellite communications networks, even those that provide broadband internet service, aren’t robust enough to carry data at 200 terabits a second or more, the speed of undersea fiber.

However, more powerful satellites and advances in optical technology are making space-to-ground communications with lasers more feasible. NASA used laser comms to beam back data from its most recent Moon mission, while a handful of private space companies, including York, Kepler, and Cailabs, have demonstrated links between Earth orbit and the ground.

Those connections, however, aimed for a throughput of 2.5 Gbps, and EON has a bigger starting goal, Horowitz says: Throughput of 2.4 terabits a second. That will require some secret sauce to deal with one of the biggest problems with laser comms—how the signal is distorted by the atmosphere as it passes through it, particularly when clouds are blocking the way.

EON intends to build a network of about 20 satellites, each able to provide a dedicated link between two continents, with the initial fleet providing 24 hour coverage for early customers. The company will carefully choose ground stations in different regions to serve local data centers and CDNs, using redundant sites and leveraging weather data to ensure a reliable link.

The startup is talking to hyperscalers and AI labs as customers, since they move more data than anyone else, with the focus on underserved or expensive routes: Lengthy ones, like France to Australia, or those without extensive existing infrastructure, like crossing between Africa and South America. They plan to sell dedicated capacity to entice customers interested in full control of their data transit.

First, though, EON will use its seed round to build out an optics lab, hire more engineers, and perform ground tests ahead of a demo satellite they hope to launch around the end of 2027. Horowitz expects that spacecraft to offer the highest optical downlink throughput yet seen—at least 800 gigs and perhaps a terabit.

Doing that will require careful engineering. EON will focus on producing the optical communications terminal, carefully allocating spending to the components that must be exquisite, like the gimbals that will point the laser. The company plans to buy powerful off-the-shelf satellite busses, like those made by Apex Space, Horowitz’s previous employer.

Horowitz served as Apex CEO Ian Cinnamon’s chief of staff and then as the company’s director of special projects. “Charlie is a force of nature—he can move seamlessly from strategy to the details required to make something real,” Cinnamon told TechCrunch. “Charlie is the ideal founder, and I invested personally because I believe deeply in Charlie and what he’s building at EON with Tyler.”

In addition to Pressler, a PhD astronautical engineer who has planned frontier missions for NASA, the company’s technical bench includes Michael David Francois, a long-time Google executive focused on global network infrastructure, and Wesley Baxter, an optics engineer who most recently worked on Amazon’s LEO satellite network.

Jeannette zu Fürstenburg, the General Catalyst partner who led the investment, said she sees it uniting the fund’s two key themes—AI and resilience.

“I don’t worry about demand,” she told TechCrunch. “I think all of that will solve for itself. It’s really all about can you actually get this thing into space in the time that we discussed? We really think about founder-product fit, [Horowitz] is just the right caliber of guy to go after a problem like this.”

They aren’t the only one chasing this problem—Blue Origin, Jeff Bezos’ space company, has announced plans for TeraWave, a 5,048 satellite network that aims to provide speeds of up to 6 Tbps to large-scale users. Blue’s plan is more ambitious, but will also require more time to launch and deploy. EON’s smaller fleet of satellites should be easier to get into space quickly, but they will need to solve many of the same technical challenges.

“Data centers have high standards for quality and redundancy,” points out Caleb Henry, the director of research at Quilty Space. “Satellite internet is just now progressing from a technology of last resort to dependable, high-bandwidth infrastructure. That’s not to say it will be impossible to make satellites optimized for data center connectivity, just that it will be harder and take longer than most entrepreneurs suggest.”

Still, a project like may be more practical compared to the popular idea of building the data centers themselves in space.

“We have one rule at the company: no physics problems,” Horowitz says. “There’s a market that exists today that we can go serve. Down the road, we’ll go and take on more as it comes, but we know that this is a problem that exists today, that’s only getting worse. That’s our bet—more data is moving terrestrially than ever.”

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

#EON #move #data #superhighway #ocean #fiber #space #lasers #TechCrunchExclusive">EON wants to move the data superhighway from ocean fiber to space lasers | TechCrunch

As hyperscalers build out data centers around the world, they need to move the bits back and forth, and that often relies on a somewhat brittle network of undersea fiberoptic cables crisscrossing the oceans.

Those cables are tricky to access and repair, much less install. But alternatives aren’t easy to find: Radio transmissions don’t have the bandwidth, which rules out most wireless approaches on the ground or in orbit. But now, maybe lasers could do the job.

Endeavor Optical Networks, a start-up founded in May and emerging from stealth today with $10.75 million in seed funding from General Catalyst and Andreessen Horowitz, is betting on that plan. The co-founders, CEO Charlie Horowitz and CTO Tyler Presser, aim to launch a network of laser-equipped spacecraft to link data centers from orbit.

Most satellite communications networks, even those that provide broadband internet service, aren’t robust enough to carry data at 200 terabits a second or more, the speed of undersea fiber.

However, more powerful satellites and advances in optical technology are making space-to-ground communications with lasers more feasible. NASA used laser comms to beam back data from its most recent Moon mission, while a handful of private space companies, including York, Kepler, and Cailabs, have demonstrated links between Earth orbit and the ground.

Those connections, however, aimed for a throughput of 2.5 Gbps, and EON has a bigger starting goal, Horowitz says: Throughput of 2.4 terabits a second. That will require some secret sauce to deal with one of the biggest problems with laser comms—how the signal is distorted by the atmosphere as it passes through it, particularly when clouds are blocking the way.

EON intends to build a network of about 20 satellites, each able to provide a dedicated link between two continents, with the initial fleet providing 24 hour coverage for early customers. The company will carefully choose ground stations in different regions to serve local data centers and CDNs, using redundant sites and leveraging weather data to ensure a reliable link.

The startup is talking to hyperscalers and AI labs as customers, since they move more data than anyone else, with the focus on underserved or expensive routes: Lengthy ones, like France to Australia, or those without extensive existing infrastructure, like crossing between Africa and South America. They plan to sell dedicated capacity to entice customers interested in full control of their data transit.

First, though, EON will use its seed round to build out an optics lab, hire more engineers, and perform ground tests ahead of a demo satellite they hope to launch around the end of 2027. Horowitz expects that spacecraft to offer the highest optical downlink throughput yet seen—at least 800 gigs and perhaps a terabit.

Doing that will require careful engineering. EON will focus on producing the optical communications terminal, carefully allocating spending to the components that must be exquisite, like the gimbals that will point the laser. The company plans to buy powerful off-the-shelf satellite busses, like those made by Apex Space, Horowitz’s previous employer.

Horowitz served as Apex CEO Ian Cinnamon’s chief of staff and then as the company’s director of special projects. “Charlie is a force of nature—he can move seamlessly from strategy to the details required to make something real,” Cinnamon told TechCrunch. “Charlie is the ideal founder, and I invested personally because I believe deeply in Charlie and what he’s building at EON with Tyler.”

In addition to Pressler, a PhD astronautical engineer who has planned frontier missions for NASA, the company’s technical bench includes Michael David Francois, a long-time Google executive focused on global network infrastructure, and Wesley Baxter, an optics engineer who most recently worked on Amazon’s LEO satellite network.

Jeannette zu Fürstenburg, the General Catalyst partner who led the investment, said she sees it uniting the fund’s two key themes—AI and resilience.

“I don’t worry about demand,” she told TechCrunch. “I think all of that will solve for itself. It’s really all about can you actually get this thing into space in the time that we discussed? We really think about founder-product fit, [Horowitz] is just the right caliber of guy to go after a problem like this.”

They aren’t the only one chasing this problem—Blue Origin, Jeff Bezos’ space company, has announced plans for TeraWave, a 5,048 satellite network that aims to provide speeds of up to 6 Tbps to large-scale users. Blue’s plan is more ambitious, but will also require more time to launch and deploy. EON’s smaller fleet of satellites should be easier to get into space quickly, but they will need to solve many of the same technical challenges.

“Data centers have high standards for quality and redundancy,” points out Caleb Henry, the director of research at Quilty Space. “Satellite internet is just now progressing from a technology of last resort to dependable, high-bandwidth infrastructure. That’s not to say it will be impossible to make satellites optimized for data center connectivity, just that it will be harder and take longer than most entrepreneurs suggest.”

Still, a project like may be more practical compared to the popular idea of building the data centers themselves in space.

“We have one rule at the company: no physics problems,” Horowitz says. “There’s a market that exists today that we can go serve. Down the road, we’ll go and take on more as it comes, but we know that this is a problem that exists today, that’s only getting worse. That’s our bet—more data is moving terrestrially than ever.”

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

#EON #move #data #superhighway #ocean #fiber #space #lasers #TechCrunchExclusive

As hyperscalers build out data centers around the world, they need to move the bits…

security research by Norwegian cybersecurity company Mnemonic describes a perfect storm of problems that allows low-quality apps to proliferate across Samsung’s app store, containing code that puts users at risk of having their internet connections tapped by a rogue app. 

Many of these apps are barebone shells, made from only a few lines of code, and are designed solely to load content from another website, such as a game. While such smart TV apps load content from another server, any review of these apps sees only the few lines of code within, and not necessarily the content itself.

“What was reviewed is not necessarily what is running,” wrote Harrison Sand, an offensive security consultant at Mnemonic. 

After TechCrunch contacted Samsung with a request for comment about the research, the electronics giant said in an emailed statement that it was banning apps that share their users’ internet connections, and will remove apps that contain the functionality.

“We have already restricted new app registrations that incorporate such proxy functionalities on our Smart TV platform,” said a Samsung spokesperson. “We are currently implementing strict platform-wide developer policies explicitly banning residential proxy SDKs, and we are working to identify and remove all apps currently available in our store that contain these components.”

The move comes after LG said last month that it would ban apps that contain resproxy software after recent reporting found that around 42% of apps on the company’s app store enlisted a smart TV into a proxy network.

Inside a residential proxy network

The research also offers a rare look inside a residential proxy network.

Resproxy code can also be found in regular consumer phone apps, as well as other consumer electronics, like digital frames and Android streaming boxes, which then share that device’s internet connection. 

Any time a resproxy app or device connects to the internet, an outsider can also pay to use it. 

Resproxies are not inherently illegal. Some are used for evading censorship by routing internet traffic through ordinary looking residential homes. AI companies, for example, increasingly rely on resproxies to scrape data from multiple places on the internet in one go to train their AI models.

But cybersecurity companies say resproxies have gained a reputation for allowing hackers and spies to carry out cyberattacks and data breaches while hiding their malicious activity. 

Cybersecurity companies find resproxies challenging to tackle because the network traffic looks like it’s coming from an ordinary household, rather than a malicious hacker located overseas, as they might expect. 

Moreover, the network traffic that flows through a user’s device over resproxies is generally encrypted, which is generally impossible to unscramble and inspect.

By rooting a Samsung smart TV’s software, Mnemonic’s Sand gained deep access to the television’s internals and analyzed all of the network traffic that flowed in and out of the TV. This included any app that was sharing the smart TV’s internet connection with someone else. 

He found the Pac-Man game contained resproxy code from Bright Data, an Israel-based company that provides proxy networks touting access to millions of residential networks around the world. The company also has a marketplace for selling access to scraped data sets. These datasets are derived from a network of enlisted smart TVs as exit nodes, which are used to download large amounts of public data from the web from multiple sources at once, often to circumvent systems designed to prevent scraping.

Sand found that Bright Data’s resproxy code loaded when opening the Pac-Man game, but noted that this did not automatically turn the Samsung smart TV into an exit node. Sand said the resproxy code is dormant until the user accepts a consent screen, which immediately activates the resproxy code to run in the background until the user deletes the app.

Aside from the user themselves consenting to enlisting their device into a resproxy, Sand warned that a “simple code change on a web server” could instantly activate hundreds of millions of smart TVs into a potentially malicious botnet.

With access to the network data flowing through his smart TV, Sand could see that much of it appeared to suggest the resproxy network was used for large-scale scraping of LinkedIn profiles, and for collecting AI training data. Sand said he only saw a tiny percentage of what was routed over Bright Data’s network. 

Bright Data did not respond to a request for comment.

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

#Samsung #bans #smart #apps #share #users #internet #connections #strangers #TechCrunchcyberattacks,cybersecurity,Exclusive,privacy,residential proxy networks,Samsung"> Samsung bans smart TV apps that share users’ internet connections with strangers | TechCrunch Several popular Samsung smart TV apps contain code that share the owner’s internet connection with strangers, potentially putting millions of Samsung smart TVs at risk of hijacking, according to new security research published on Monday.  Some of these apps claim to have been installed on hundreds of millions of smart TVs in people’s homes, per the app developers. At least one of the smart TV apps was a simple Pac-Man game that Samsung had endorsed and prominently featured in its “Editor’s Choice” section on customers’ TV screens. These apps contain software that funnels outsiders’ web traffic through ordinary home and office internet connections, known as residential proxy networks (or “resproxies”), which are increasingly being linked to cybercrime. When opened, apps with resproxy code can turn the smart TV into an always-on tunnel for outsiders to funnel their web traffic through, known as an exit node — even when the app is no longer open.  The security research by Norwegian cybersecurity company Mnemonic describes a perfect storm of problems that allows low-quality apps to proliferate across Samsung’s app store, containing code that puts users at risk of having their internet connections tapped by a rogue app.  Many of these apps are barebone shells, made from only a few lines of code, and are designed solely to load content from another website, such as a game. While such smart TV apps load content from another server, any review of these apps sees only the few lines of code within, and not necessarily the content itself. “What was reviewed is not necessarily what is running,” wrote Harrison Sand, an offensive security consultant at Mnemonic.  After TechCrunch contacted Samsung with a request for comment about the research, the electronics giant said in an emailed statement that it was banning apps that share their users’ internet connections, and will remove apps that contain the functionality. “We have already restricted new app registrations that incorporate such proxy functionalities on our Smart TV platform,” said a Samsung spokesperson. “We are currently implementing strict platform-wide developer policies explicitly banning residential proxy SDKs, and we are working to identify and remove all apps currently available in our store that contain these components.” The move comes after LG said last month that it would ban apps that contain resproxy software after recent reporting found that around 42% of apps on the company’s app store enlisted a smart TV into a proxy network. Inside a residential proxy network The research also offers a rare look inside a residential proxy network. Resproxy code can also be found in regular consumer phone apps, as well as other consumer electronics, like digital frames and Android streaming boxes, which then share that device’s internet connection.  Any time a resproxy app or device connects to the internet, an outsider can also pay to use it.  Resproxies are not inherently illegal. Some are used for evading censorship by routing internet traffic through ordinary looking residential homes. AI companies, for example, increasingly rely on resproxies to scrape data from multiple places on the internet in one go to train their AI models. But cybersecurity companies say resproxies have gained a reputation for allowing hackers and spies to carry out cyberattacks and data breaches while hiding their malicious activity.  Cybersecurity companies find resproxies challenging to tackle because the network traffic looks like it’s coming from an ordinary household, rather than a malicious hacker located overseas, as they might expect.  Moreover, the network traffic that flows through a user’s device over resproxies is generally encrypted, which is generally impossible to unscramble and inspect. By rooting a Samsung smart TV’s software, Mnemonic’s Sand gained deep access to the television’s internals and analyzed all of the network traffic that flowed in and out of the TV. This included any app that was sharing the smart TV’s internet connection with someone else.  He found the Pac-Man game contained resproxy code from Bright Data, an Israel-based company that provides proxy networks touting access to millions of residential networks around the world. The company also has a marketplace for selling access to scraped data sets. These datasets are derived from a network of enlisted smart TVs as exit nodes, which are used to download large amounts of public data from the web from multiple sources at once, often to circumvent systems designed to prevent scraping. Sand found that Bright Data’s resproxy code loaded when opening the Pac-Man game, but noted that this did not automatically turn the Samsung smart TV into an exit node. Sand said the resproxy code is dormant until the user accepts a consent screen, which immediately activates the resproxy code to run in the background until the user deletes the app. Aside from the user themselves consenting to enlisting their device into a resproxy, Sand warned that a “simple code change on a web server” could instantly activate hundreds of millions of smart TVs into a potentially malicious botnet. With access to the network data flowing through his smart TV, Sand could see that much of it appeared to suggest the resproxy network was used for large-scale scraping of LinkedIn profiles, and for collecting AI training data. Sand said he only saw a tiny percentage of what was routed over Bright Data’s network.  Bright Data did not respond to a request for comment. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Samsung #bans #smart #apps #share #users #internet #connections #strangers #TechCrunchcyberattacks,cybersecurity,Exclusive,privacy,residential proxy networks,Samsung
Tech-news

security research by Norwegian cybersecurity company Mnemonic describes a perfect storm of problems that allows low-quality apps to proliferate across Samsung’s app store, containing code that puts users at risk of having their internet connections tapped by a rogue app. 

Many of these apps are barebone shells, made from only a few lines of code, and are designed solely to load content from another website, such as a game. While such smart TV apps load content from another server, any review of these apps sees only the few lines of code within, and not necessarily the content itself.

“What was reviewed is not necessarily what is running,” wrote Harrison Sand, an offensive security consultant at Mnemonic. 

After TechCrunch contacted Samsung with a request for comment about the research, the electronics giant said in an emailed statement that it was banning apps that share their users’ internet connections, and will remove apps that contain the functionality.

“We have already restricted new app registrations that incorporate such proxy functionalities on our Smart TV platform,” said a Samsung spokesperson. “We are currently implementing strict platform-wide developer policies explicitly banning residential proxy SDKs, and we are working to identify and remove all apps currently available in our store that contain these components.”

The move comes after LG said last month that it would ban apps that contain resproxy software after recent reporting found that around 42% of apps on the company’s app store enlisted a smart TV into a proxy network.

Inside a residential proxy network

The research also offers a rare look inside a residential proxy network.

Resproxy code can also be found in regular consumer phone apps, as well as other consumer electronics, like digital frames and Android streaming boxes, which then share that device’s internet connection. 

Any time a resproxy app or device connects to the internet, an outsider can also pay to use it. 

Resproxies are not inherently illegal. Some are used for evading censorship by routing internet traffic through ordinary looking residential homes. AI companies, for example, increasingly rely on resproxies to scrape data from multiple places on the internet in one go to train their AI models.

But cybersecurity companies say resproxies have gained a reputation for allowing hackers and spies to carry out cyberattacks and data breaches while hiding their malicious activity. 

Cybersecurity companies find resproxies challenging to tackle because the network traffic looks like it’s coming from an ordinary household, rather than a malicious hacker located overseas, as they might expect. 

Moreover, the network traffic that flows through a user’s device over resproxies is generally encrypted, which is generally impossible to unscramble and inspect.

By rooting a Samsung smart TV’s software, Mnemonic’s Sand gained deep access to the television’s internals and analyzed all of the network traffic that flowed in and out of the TV. This included any app that was sharing the smart TV’s internet connection with someone else. 

He found the Pac-Man game contained resproxy code from Bright Data, an Israel-based company that provides proxy networks touting access to millions of residential networks around the world. The company also has a marketplace for selling access to scraped data sets. These datasets are derived from a network of enlisted smart TVs as exit nodes, which are used to download large amounts of public data from the web from multiple sources at once, often to circumvent systems designed to prevent scraping.

Sand found that Bright Data’s resproxy code loaded when opening the Pac-Man game, but noted that this did not automatically turn the Samsung smart TV into an exit node. Sand said the resproxy code is dormant until the user accepts a consent screen, which immediately activates the resproxy code to run in the background until the user deletes the app.

Aside from the user themselves consenting to enlisting their device into a resproxy, Sand warned that a “simple code change on a web server” could instantly activate hundreds of millions of smart TVs into a potentially malicious botnet.

With access to the network data flowing through his smart TV, Sand could see that much of it appeared to suggest the resproxy network was used for large-scale scraping of LinkedIn profiles, and for collecting AI training data. Sand said he only saw a tiny percentage of what was routed over Bright Data’s network. 

Bright Data did not respond to a request for comment.

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

#Samsung #bans #smart #apps #share #users #internet #connections #strangers #TechCrunchcyberattacks,cybersecurity,Exclusive,privacy,residential proxy networks,Samsung">Samsung bans smart TV apps that share users’ internet connections with strangers | TechCrunch

Several popular Samsung smart TV apps contain code that share the owner’s internet connection with strangers, potentially putting millions of Samsung smart TVs at risk of hijacking, according to new security research published on Monday. 

Some of these apps claim to have been installed on hundreds of millions of smart TVs in people’s homes, per the app developers.

At least one of the smart TV apps was a simple Pac-Man game that Samsung had endorsed and prominently featured in its “Editor’s Choice” section on customers’ TV screens.

These apps contain software that funnels outsiders’ web traffic through ordinary home and office internet connections, known as residential proxy networks (or “resproxies”), which are increasingly being linked to cybercrime. When opened, apps with resproxy code can turn the smart TV into an always-on tunnel for outsiders to funnel their web traffic through, known as an exit node — even when the app is no longer open. 

The security research by Norwegian cybersecurity company Mnemonic describes a perfect storm of problems that allows low-quality apps to proliferate across Samsung’s app store, containing code that puts users at risk of having their internet connections tapped by a rogue app. 

Many of these apps are barebone shells, made from only a few lines of code, and are designed solely to load content from another website, such as a game. While such smart TV apps load content from another server, any review of these apps sees only the few lines of code within, and not necessarily the content itself.

“What was reviewed is not necessarily what is running,” wrote Harrison Sand, an offensive security consultant at Mnemonic. 

After TechCrunch contacted Samsung with a request for comment about the research, the electronics giant said in an emailed statement that it was banning apps that share their users’ internet connections, and will remove apps that contain the functionality.

“We have already restricted new app registrations that incorporate such proxy functionalities on our Smart TV platform,” said a Samsung spokesperson. “We are currently implementing strict platform-wide developer policies explicitly banning residential proxy SDKs, and we are working to identify and remove all apps currently available in our store that contain these components.”

The move comes after LG said last month that it would ban apps that contain resproxy software after recent reporting found that around 42% of apps on the company’s app store enlisted a smart TV into a proxy network.

Inside a residential proxy network

The research also offers a rare look inside a residential proxy network.

Resproxy code can also be found in regular consumer phone apps, as well as other consumer electronics, like digital frames and Android streaming boxes, which then share that device’s internet connection. 

Any time a resproxy app or device connects to the internet, an outsider can also pay to use it. 

Resproxies are not inherently illegal. Some are used for evading censorship by routing internet traffic through ordinary looking residential homes. AI companies, for example, increasingly rely on resproxies to scrape data from multiple places on the internet in one go to train their AI models.

But cybersecurity companies say resproxies have gained a reputation for allowing hackers and spies to carry out cyberattacks and data breaches while hiding their malicious activity. 

Cybersecurity companies find resproxies challenging to tackle because the network traffic looks like it’s coming from an ordinary household, rather than a malicious hacker located overseas, as they might expect. 

Moreover, the network traffic that flows through a user’s device over resproxies is generally encrypted, which is generally impossible to unscramble and inspect.

By rooting a Samsung smart TV’s software, Mnemonic’s Sand gained deep access to the television’s internals and analyzed all of the network traffic that flowed in and out of the TV. This included any app that was sharing the smart TV’s internet connection with someone else. 

He found the Pac-Man game contained resproxy code from Bright Data, an Israel-based company that provides proxy networks touting access to millions of residential networks around the world. The company also has a marketplace for selling access to scraped data sets. These datasets are derived from a network of enlisted smart TVs as exit nodes, which are used to download large amounts of public data from the web from multiple sources at once, often to circumvent systems designed to prevent scraping.

Sand found that Bright Data’s resproxy code loaded when opening the Pac-Man game, but noted that this did not automatically turn the Samsung smart TV into an exit node. Sand said the resproxy code is dormant until the user accepts a consent screen, which immediately activates the resproxy code to run in the background until the user deletes the app.

Aside from the user themselves consenting to enlisting their device into a resproxy, Sand warned that a “simple code change on a web server” could instantly activate hundreds of millions of smart TVs into a potentially malicious botnet.

With access to the network data flowing through his smart TV, Sand could see that much of it appeared to suggest the resproxy network was used for large-scale scraping of LinkedIn profiles, and for collecting AI training data. Sand said he only saw a tiny percentage of what was routed over Bright Data’s network. 

Bright Data did not respond to a request for comment.

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

#Samsung #bans #smart #apps #share #users #internet #connections #strangers #TechCrunchcyberattacks,cybersecurity,Exclusive,privacy,residential proxy networks,Samsung

Several popular Samsung smart TV apps contain code that share the owner’s internet connection with…

Gritt, a start-up founded by two Carnegie Mellon-trained roboticists, CEO Puneet Puri and CTO Vishal Dugar. The company exited stealth Tuesday morning with a $26 million Series A round of funding led by Obvious Ventures with participation from Union Square Ventures and Active Impact Investment. That brings its total funding to $34 million, following an earlier seed round backed by First Round Capital, Climactic, Congruent Ventures, and VSC Ventures. The startup is building an intelligent system to “help civilization build infrastructure faster,” in Puri’s words.

“Our thesis is that if we truly want to speed up construction,” Puri tells TechCrunch, “you need an intelligence which can work in the outdoor, chaotic environments of these construction sites, and it has to be generalizable enough that it can work in these varied environments.”

Rather than building its own robots from scratch, Gritt uses off-the-shelf hardware—thus far, rented skidders and robotic arms built by companies like Kawasaki—to build platforms that are controlled by its AI models. The first job its systems handle is unloading large, glass solar panels, carrying them toward the metal frames where they need to be installed, and positioning them on the frames with sub-millimeter accuracy so workers can fasten them.

“There are people who used to build rockets that went into space and had infinite budget for the smallest little part, and then there are people who know what it means to get into dirty, dull, and dangerous jobs and scale them like mad,” said Andrew Beebe, the partner at Obvious Ventures who led Gritt’s Series A round. “These guys are in the second camp, and that’s a special kind of entrepreneur that has the technical chops, the AI, and the machine vision skills to make it work.”

Gritt has two systems currently deployed in the field, using the data they collect to improve their behavior. Puri says that a typical eight-person crew workers can install 800 panels a day, but the same crew working with Gritt’s systems can install 3,000 to 4,000 panels each day.

Now, the company says it is contracted to help install 2.8 gigawatts of solar panels in the next 18 months, and that its customers include three of the top 10 US power construction companies. The company hopes to be operating 48 of its systems within the next six months.

TechCrunch spoke to one Gritt customer who declined to be identified for competitive reasons, but who was enthusiastic about the system’s ability to improve his work. He expects it to be easier to work at remote sites where it is difficult to attract workers, and anticipates a reduction in injuries since workers won’t have to repeatedly lift 100-pound panels overhead.

Gritt is competing against companies with their own panel-installing robots like Luminous Robotics, Cosmic, and China’s Trinabot. Those companies are building their own hardware, rather than focusing on off-the-shelf vehicles and arms like Gritt, a difference that could shape who grows faster and with a leaner cost structure as demand grows.

Gritt wants to add new manipulation tasks to its system so it can fasten the solar panels, drill posts, and even build the racks they sit on. Longer term, it also wants to move into other common, labor-intensive construction tasks, like tying rebar before concrete is poured over it.

What’s enabled the startup to pursue this vision? Mainly, the rise of new AI models, the founders say.

“Making a system for one solution was still possible to some extent five years ago, right?” Puri said, but AI is now making that work generalizable — the same underlying pipeline can be reused and improve across tasks. As an example, he noted that training the system to stack cinder blocks took weeks, while a similar demo with rebar tying took just a day using the same software.

But training new tasks is just the beginning of Gritt’s vision. The founders believe the suite of sensors and intelligence its systems bring to worksites can do more than install panels; it can boost management and decision-making. For instance, they imagine their system noticing a trench is open while a storm approaches, allowing it to alert workers to cover it before rain damages components, or flagging missing inventory.

“Gritt becomes now this layer of physical AI, which is doing this dextrous, labor-intensive task, plus it can help you take decisions on the site,” Puri said.

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

#Gritt #exits #stealth #million #robots #build #solar #plantsthen #TechCrunchExclusive"> Gritt exits stealth with million for robots to build solar plants—then, everything else | TechCrunch One of the most important things happening on Earth today is the solar energy build-out. Around the world, companies and countries are racing to deploy solar and batteries to achieve energy independence and limit the effects of climate change. That build-out, though, is running into a labor market challenge, with a limited supply of workers to meet a growing demand for installation. Robots could be an answer, but industrial robots have historically struggled in unstructured environments, at least until now. The latest generation of AI models may have changed that equation. That’s the driving idea behind Gritt, a start-up founded by two Carnegie Mellon-trained roboticists, CEO Puneet Puri and CTO Vishal Dugar. The company exited stealth Tuesday morning with a million Series A round of funding led by Obvious Ventures with participation from Union Square Ventures and Active Impact Investment. That brings its total funding to million, following an earlier seed round backed by First Round Capital, Climactic, Congruent Ventures, and VSC Ventures. The startup is building an intelligent system to “help civilization build infrastructure faster,” in Puri’s words. “Our thesis is that if we truly want to speed up construction,” Puri tells TechCrunch, “you need an intelligence which can work in the outdoor, chaotic environments of these construction sites, and it has to be generalizable enough that it can work in these varied environments.” Rather than building its own robots from scratch, Gritt uses off-the-shelf hardware—thus far, rented skidders and robotic arms built by companies like Kawasaki—to build platforms that are controlled by its AI models. The first job its systems handle is unloading large, glass solar panels, carrying them toward the metal frames where they need to be installed, and positioning them on the frames with sub-millimeter accuracy so workers can fasten them. “There are people who used to build rockets that went into space and had infinite budget for the smallest little part, and then there are people who know what it means to get into dirty, dull, and dangerous jobs and scale them like mad,” said Andrew Beebe, the partner at Obvious Ventures who led Gritt’s Series A round. “These guys are in the second camp, and that’s a special kind of entrepreneur that has the technical chops, the AI, and the machine vision skills to make it work.” Gritt has two systems currently deployed in the field, using the data they collect to improve their behavior. Puri says that a typical eight-person crew workers can install 800 panels a day, but the same crew working with Gritt’s systems can install 3,000 to 4,000 panels each day. Now, the company says it is contracted to help install 2.8 gigawatts of solar panels in the next 18 months, and that its customers include three of the top 10 US power construction companies. The company hopes to be operating 48 of its systems within the next six months. TechCrunch spoke to one Gritt customer who declined to be identified for competitive reasons, but who was enthusiastic about the system’s ability to improve his work. He expects it to be easier to work at remote sites where it is difficult to attract workers, and anticipates a reduction in injuries since workers won’t have to repeatedly lift 100-pound panels overhead. Gritt is competing against companies with their own panel-installing robots like Luminous Robotics, Cosmic, and China’s Trinabot. Those companies are building their own hardware, rather than focusing on off-the-shelf vehicles and arms like Gritt, a difference that could shape who grows faster and with a leaner cost structure as demand grows. Gritt wants to add new manipulation tasks to its system so it can fasten the solar panels, drill posts, and even build the racks they sit on. Longer term, it also wants to move into other common, labor-intensive construction tasks, like tying rebar before concrete is poured over it. What’s enabled the startup to pursue this vision? Mainly, the rise of new AI models, the founders say. “Making a system for one solution was still possible to some extent five years ago, right?” Puri said, but AI is now making that work generalizable — the same underlying pipeline can be reused and improve across tasks. As an example, he noted that training the system to stack cinder blocks took weeks, while a similar demo with rebar tying took just a day using the same software. But training new tasks is just the beginning of Gritt’s vision. The founders believe the suite of sensors and intelligence its systems bring to worksites can do more than install panels; it can boost management and decision-making. For instance, they imagine their system noticing a trench is open while a storm approaches, allowing it to alert workers to cover it before rain damages components, or flagging missing inventory. “Gritt becomes now this layer of physical AI, which is doing this dextrous, labor-intensive task, plus it can help you take decisions on the site,” Puri said. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Gritt #exits #stealth #million #robots #build #solar #plantsthen #TechCrunchExclusive
Tech-news

Gritt, a start-up founded by two Carnegie Mellon-trained roboticists, CEO Puneet Puri and CTO Vishal Dugar. The company exited stealth Tuesday morning with a $26 million Series A round of funding led by Obvious Ventures with participation from Union Square Ventures and Active Impact Investment. That brings its total funding to $34 million, following an earlier seed round backed by First Round Capital, Climactic, Congruent Ventures, and VSC Ventures. The startup is building an intelligent system to “help civilization build infrastructure faster,” in Puri’s words.

“Our thesis is that if we truly want to speed up construction,” Puri tells TechCrunch, “you need an intelligence which can work in the outdoor, chaotic environments of these construction sites, and it has to be generalizable enough that it can work in these varied environments.”

Rather than building its own robots from scratch, Gritt uses off-the-shelf hardware—thus far, rented skidders and robotic arms built by companies like Kawasaki—to build platforms that are controlled by its AI models. The first job its systems handle is unloading large, glass solar panels, carrying them toward the metal frames where they need to be installed, and positioning them on the frames with sub-millimeter accuracy so workers can fasten them.

“There are people who used to build rockets that went into space and had infinite budget for the smallest little part, and then there are people who know what it means to get into dirty, dull, and dangerous jobs and scale them like mad,” said Andrew Beebe, the partner at Obvious Ventures who led Gritt’s Series A round. “These guys are in the second camp, and that’s a special kind of entrepreneur that has the technical chops, the AI, and the machine vision skills to make it work.”

Gritt has two systems currently deployed in the field, using the data they collect to improve their behavior. Puri says that a typical eight-person crew workers can install 800 panels a day, but the same crew working with Gritt’s systems can install 3,000 to 4,000 panels each day.

Now, the company says it is contracted to help install 2.8 gigawatts of solar panels in the next 18 months, and that its customers include three of the top 10 US power construction companies. The company hopes to be operating 48 of its systems within the next six months.

TechCrunch spoke to one Gritt customer who declined to be identified for competitive reasons, but who was enthusiastic about the system’s ability to improve his work. He expects it to be easier to work at remote sites where it is difficult to attract workers, and anticipates a reduction in injuries since workers won’t have to repeatedly lift 100-pound panels overhead.

Gritt is competing against companies with their own panel-installing robots like Luminous Robotics, Cosmic, and China’s Trinabot. Those companies are building their own hardware, rather than focusing on off-the-shelf vehicles and arms like Gritt, a difference that could shape who grows faster and with a leaner cost structure as demand grows.

Gritt wants to add new manipulation tasks to its system so it can fasten the solar panels, drill posts, and even build the racks they sit on. Longer term, it also wants to move into other common, labor-intensive construction tasks, like tying rebar before concrete is poured over it.

What’s enabled the startup to pursue this vision? Mainly, the rise of new AI models, the founders say.

“Making a system for one solution was still possible to some extent five years ago, right?” Puri said, but AI is now making that work generalizable — the same underlying pipeline can be reused and improve across tasks. As an example, he noted that training the system to stack cinder blocks took weeks, while a similar demo with rebar tying took just a day using the same software.

But training new tasks is just the beginning of Gritt’s vision. The founders believe the suite of sensors and intelligence its systems bring to worksites can do more than install panels; it can boost management and decision-making. For instance, they imagine their system noticing a trench is open while a storm approaches, allowing it to alert workers to cover it before rain damages components, or flagging missing inventory.

“Gritt becomes now this layer of physical AI, which is doing this dextrous, labor-intensive task, plus it can help you take decisions on the site,” Puri said.

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

#Gritt #exits #stealth #million #robots #build #solar #plantsthen #TechCrunchExclusive">Gritt exits stealth with $34 million for robots to build solar plants—then, everything else | TechCrunch

One of the most important things happening on Earth today is the solar energy build-out. Around the world, companies and countries are racing to deploy solar and batteries to achieve energy independence and limit the effects of climate change.

That build-out, though, is running into a labor market challenge, with a limited supply of workers to meet a growing demand for installation. Robots could be an answer, but industrial robots have historically struggled in unstructured environments, at least until now. The latest generation of AI models may have changed that equation.

That’s the driving idea behind Gritt, a start-up founded by two Carnegie Mellon-trained roboticists, CEO Puneet Puri and CTO Vishal Dugar. The company exited stealth Tuesday morning with a $26 million Series A round of funding led by Obvious Ventures with participation from Union Square Ventures and Active Impact Investment. That brings its total funding to $34 million, following an earlier seed round backed by First Round Capital, Climactic, Congruent Ventures, and VSC Ventures. The startup is building an intelligent system to “help civilization build infrastructure faster,” in Puri’s words.

“Our thesis is that if we truly want to speed up construction,” Puri tells TechCrunch, “you need an intelligence which can work in the outdoor, chaotic environments of these construction sites, and it has to be generalizable enough that it can work in these varied environments.”

Rather than building its own robots from scratch, Gritt uses off-the-shelf hardware—thus far, rented skidders and robotic arms built by companies like Kawasaki—to build platforms that are controlled by its AI models. The first job its systems handle is unloading large, glass solar panels, carrying them toward the metal frames where they need to be installed, and positioning them on the frames with sub-millimeter accuracy so workers can fasten them.

“There are people who used to build rockets that went into space and had infinite budget for the smallest little part, and then there are people who know what it means to get into dirty, dull, and dangerous jobs and scale them like mad,” said Andrew Beebe, the partner at Obvious Ventures who led Gritt’s Series A round. “These guys are in the second camp, and that’s a special kind of entrepreneur that has the technical chops, the AI, and the machine vision skills to make it work.”

Gritt has two systems currently deployed in the field, using the data they collect to improve their behavior. Puri says that a typical eight-person crew workers can install 800 panels a day, but the same crew working with Gritt’s systems can install 3,000 to 4,000 panels each day.

Now, the company says it is contracted to help install 2.8 gigawatts of solar panels in the next 18 months, and that its customers include three of the top 10 US power construction companies. The company hopes to be operating 48 of its systems within the next six months.

TechCrunch spoke to one Gritt customer who declined to be identified for competitive reasons, but who was enthusiastic about the system’s ability to improve his work. He expects it to be easier to work at remote sites where it is difficult to attract workers, and anticipates a reduction in injuries since workers won’t have to repeatedly lift 100-pound panels overhead.

Gritt is competing against companies with their own panel-installing robots like Luminous Robotics, Cosmic, and China’s Trinabot. Those companies are building their own hardware, rather than focusing on off-the-shelf vehicles and arms like Gritt, a difference that could shape who grows faster and with a leaner cost structure as demand grows.

Gritt wants to add new manipulation tasks to its system so it can fasten the solar panels, drill posts, and even build the racks they sit on. Longer term, it also wants to move into other common, labor-intensive construction tasks, like tying rebar before concrete is poured over it.

What’s enabled the startup to pursue this vision? Mainly, the rise of new AI models, the founders say.

“Making a system for one solution was still possible to some extent five years ago, right?” Puri said, but AI is now making that work generalizable — the same underlying pipeline can be reused and improve across tasks. As an example, he noted that training the system to stack cinder blocks took weeks, while a similar demo with rebar tying took just a day using the same software.

But training new tasks is just the beginning of Gritt’s vision. The founders believe the suite of sensors and intelligence its systems bring to worksites can do more than install panels; it can boost management and decision-making. For instance, they imagine their system noticing a trench is open while a storm approaches, allowing it to alert workers to cover it before rain damages components, or flagging missing inventory.

“Gritt becomes now this layer of physical AI, which is doing this dextrous, labor-intensive task, plus it can help you take decisions on the site,” Puri said.

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

#Gritt #exits #stealth #million #robots #build #solar #plantsthen #TechCrunchExclusive

One of the most important things happening on Earth today is the solar energy build-out.…

fashion-Alizabeth

[embed]https://www.youtube.com/watch?v=OWpcHNZoKDE[/embed] Millie Bobby Brown is returning to Celebrity Substitute with a new outlook after becoming…

fashion-Alizabeth

Allie Eklund is opening up about the way her hopes for the future made her…

Open Frontier conference hosted by the Laude Institute, Cerf was recognized by Dave Patterson, the UC Berkeley professor best known for co-developing RISC processor architecture.

“Vint … has been at Google more than 20 years, and he is retiring a week from today, and so I think we ought to give him a round of applause for a relatively good career,” Patterson said, to cheers from the room.

Google did not respond to a request for comment by publication time.

Cerf, 83, and collaborator Robert Kahn are credited as being the architects of the networking protocols that became the internet we know today. His work developing and popularizing TCP/IP — the basic set of rules that lets different computer networks talk to each other — beginning in the 1970s has been recognized with numerous honorary degrees, the Presidential Medal of Freedom, and a Turing Award, among other honors.

Since 2005, Cerf has served as a vice president and chief internet evangelist at Google. (At this point, we can safely say the internet is fully evangelized, for good or ill.)

Cerf was speaking on a panel alongside other computer scientists known for their work on durable open source projects, including Patterson; François Chollet, creator of the Keras deep-learning library and co-founder of Ndea; John Ousterhout, the Stanford computer scientist behind the Tcl programming language, who also co-founded Electric Cloud; and Matei Zaharia, who is Databricks’ co-founder and chief technologist. They offered advice about what it takes to build open source systems that survive — advice that’s increasingly relevant as founders bet on open infrastructure for the next wave of AI products.

Much of the conference’s discussion focused on the problems with the centralization of advanced models in a handful of well-resourced labs, in contrast to the decentralized world of the open internet that made Cerf’s own protocols so durable. However, Cerf predicted that the rise of AI agents — software that can act autonomously and coordinate with other software — would push tech companies back towards standardized protocols.

“The agentic model of AI, with multiple agents from multiple sources interacting with each other, is going to force composability, and a requirement for interoperability and standardization,” Cerf said.

If he’s right, the companies that define those interoperability standards early could end up with outsized influence over how the agentic economy actually works — a dynamic not unlike the early internet protocol wars.

While other panelists speculated that natural language communication between LLM agents would be sufficient, Cerf predicted formal standards would be required.

“I don’t think English is going to be the best choice. There’s a flexibility in it, but there’s ambiguity, and I think precision for interagent interaction is going to be very, very important. An agent really needs to be sure the other agent understands what it is that they just agreed to do together,” Cerf said.

“Remember the old telephone game where you wish you’d whispered in somebody’s ear and then by the time it got to 10 people away the message was totally different? Imagine a bunch of agents talking to each other in natural language, you know, that’s kind of terrifying.”

In a more light-hearted moment, Patterson recalled meeting Cerf, known for his wardrobe of three-piece suits, as a grad student in the 1970s.

“He’s always been the best dressed computer scientist I’ve ever met,” Patterson said. “My memory of Vint is that he came as a grad student with a shirt and tie in the 70s.”

“It absolutely is true,” Cerf said. “I even had a vest, and for some reason I always wanted to stick out, and instead of having long hair, and something in my nose, I thought just dressing differently was one way to do it.”

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

#Father #Internet #finally #retiring #TechCrunchExclusive"> The ‘Father of the Internet’ is finally retiring | TechCrunch Vinton Cerf will step down from his role as Google’s chief internet evangelist next week, marking the conclusion of one of the most influential careers in technology history. While speaking via video feed at the Open Frontier conference hosted by the Laude Institute, Cerf was recognized by Dave Patterson, the UC Berkeley professor best known for co-developing RISC processor architecture. “Vint … has been at Google more than 20 years, and he is retiring a week from today, and so I think we ought to give him a round of applause for a relatively good career,” Patterson said, to cheers from the room. Google did not respond to a request for comment by publication time. Cerf, 83, and collaborator Robert Kahn are credited as being the architects of the networking protocols that became the internet we know today. His work developing and popularizing TCP/IP — the basic set of rules that lets different computer networks talk to each other — beginning in the 1970s has been recognized with numerous honorary degrees, the Presidential Medal of Freedom, and a Turing Award, among other honors. Since 2005, Cerf has served as a vice president and chief internet evangelist at Google. (At this point, we can safely say the internet is fully evangelized, for good or ill.) Cerf was speaking on a panel alongside other computer scientists known for their work on durable open source projects, including Patterson; François Chollet, creator of the Keras deep-learning library and co-founder of Ndea; John Ousterhout, the Stanford computer scientist behind the Tcl programming language, who also co-founded Electric Cloud; and Matei Zaharia, who is Databricks’ co-founder and chief technologist. They offered advice about what it takes to build open source systems that survive — advice that’s increasingly relevant as founders bet on open infrastructure for the next wave of AI products. Much of the conference’s discussion focused on the problems with the centralization of advanced models in a handful of well-resourced labs, in contrast to the decentralized world of the open internet that made Cerf’s own protocols so durable. However, Cerf predicted that the rise of AI agents — software that can act autonomously and coordinate with other software — would push tech companies back towards standardized protocols. “The agentic model of AI, with multiple agents from multiple sources interacting with each other, is going to force composability, and a requirement for interoperability and standardization,” Cerf said. If he’s right, the companies that define those interoperability standards early could end up with outsized influence over how the agentic economy actually works — a dynamic not unlike the early internet protocol wars. While other panelists speculated that natural language communication between LLM agents would be sufficient, Cerf predicted formal standards would be required. “I don’t think English is going to be the best choice. There’s a flexibility in it, but there’s ambiguity, and I think precision for interagent interaction is going to be very, very important. An agent really needs to be sure the other agent understands what it is that they just agreed to do together,” Cerf said. “Remember the old telephone game where you wish you’d whispered in somebody’s ear and then by the time it got to 10 people away the message was totally different? Imagine a bunch of agents talking to each other in natural language, you know, that’s kind of terrifying.” In a more light-hearted moment, Patterson recalled meeting Cerf, known for his wardrobe of three-piece suits, as a grad student in the 1970s. “He’s always been the best dressed computer scientist I’ve ever met,” Patterson said. “My memory of Vint is that he came as a grad student with a shirt and tie in the 70s.” “It absolutely is true,” Cerf said. “I even had a vest, and for some reason I always wanted to stick out, and instead of having long hair, and something in my nose, I thought just dressing differently was one way to do it.” When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Father #Internet #finally #retiring #TechCrunchExclusive
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Open Frontier conference hosted by the Laude Institute, Cerf was recognized by Dave Patterson, the UC Berkeley professor best known for co-developing RISC processor architecture.

“Vint … has been at Google more than 20 years, and he is retiring a week from today, and so I think we ought to give him a round of applause for a relatively good career,” Patterson said, to cheers from the room.

Google did not respond to a request for comment by publication time.

Cerf, 83, and collaborator Robert Kahn are credited as being the architects of the networking protocols that became the internet we know today. His work developing and popularizing TCP/IP — the basic set of rules that lets different computer networks talk to each other — beginning in the 1970s has been recognized with numerous honorary degrees, the Presidential Medal of Freedom, and a Turing Award, among other honors.

Since 2005, Cerf has served as a vice president and chief internet evangelist at Google. (At this point, we can safely say the internet is fully evangelized, for good or ill.)

Cerf was speaking on a panel alongside other computer scientists known for their work on durable open source projects, including Patterson; François Chollet, creator of the Keras deep-learning library and co-founder of Ndea; John Ousterhout, the Stanford computer scientist behind the Tcl programming language, who also co-founded Electric Cloud; and Matei Zaharia, who is Databricks’ co-founder and chief technologist. They offered advice about what it takes to build open source systems that survive — advice that’s increasingly relevant as founders bet on open infrastructure for the next wave of AI products.

Much of the conference’s discussion focused on the problems with the centralization of advanced models in a handful of well-resourced labs, in contrast to the decentralized world of the open internet that made Cerf’s own protocols so durable. However, Cerf predicted that the rise of AI agents — software that can act autonomously and coordinate with other software — would push tech companies back towards standardized protocols.

“The agentic model of AI, with multiple agents from multiple sources interacting with each other, is going to force composability, and a requirement for interoperability and standardization,” Cerf said.

If he’s right, the companies that define those interoperability standards early could end up with outsized influence over how the agentic economy actually works — a dynamic not unlike the early internet protocol wars.

While other panelists speculated that natural language communication between LLM agents would be sufficient, Cerf predicted formal standards would be required.

“I don’t think English is going to be the best choice. There’s a flexibility in it, but there’s ambiguity, and I think precision for interagent interaction is going to be very, very important. An agent really needs to be sure the other agent understands what it is that they just agreed to do together,” Cerf said.

“Remember the old telephone game where you wish you’d whispered in somebody’s ear and then by the time it got to 10 people away the message was totally different? Imagine a bunch of agents talking to each other in natural language, you know, that’s kind of terrifying.”

In a more light-hearted moment, Patterson recalled meeting Cerf, known for his wardrobe of three-piece suits, as a grad student in the 1970s.

“He’s always been the best dressed computer scientist I’ve ever met,” Patterson said. “My memory of Vint is that he came as a grad student with a shirt and tie in the 70s.”

“It absolutely is true,” Cerf said. “I even had a vest, and for some reason I always wanted to stick out, and instead of having long hair, and something in my nose, I thought just dressing differently was one way to do it.”

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#Father #Internet #finally #retiring #TechCrunchExclusive">The ‘Father of the Internet’ is finally retiring | TechCrunch

Vinton Cerf will step down from his role as Google’s chief internet evangelist next week, marking the conclusion of one of the most influential careers in technology history.

While speaking via video feed at the Open Frontier conference hosted by the Laude Institute, Cerf was recognized by Dave Patterson, the UC Berkeley professor best known for co-developing RISC processor architecture.

“Vint … has been at Google more than 20 years, and he is retiring a week from today, and so I think we ought to give him a round of applause for a relatively good career,” Patterson said, to cheers from the room.

Google did not respond to a request for comment by publication time.

Cerf, 83, and collaborator Robert Kahn are credited as being the architects of the networking protocols that became the internet we know today. His work developing and popularizing TCP/IP — the basic set of rules that lets different computer networks talk to each other — beginning in the 1970s has been recognized with numerous honorary degrees, the Presidential Medal of Freedom, and a Turing Award, among other honors.

Since 2005, Cerf has served as a vice president and chief internet evangelist at Google. (At this point, we can safely say the internet is fully evangelized, for good or ill.)

Cerf was speaking on a panel alongside other computer scientists known for their work on durable open source projects, including Patterson; François Chollet, creator of the Keras deep-learning library and co-founder of Ndea; John Ousterhout, the Stanford computer scientist behind the Tcl programming language, who also co-founded Electric Cloud; and Matei Zaharia, who is Databricks’ co-founder and chief technologist. They offered advice about what it takes to build open source systems that survive — advice that’s increasingly relevant as founders bet on open infrastructure for the next wave of AI products.

Much of the conference’s discussion focused on the problems with the centralization of advanced models in a handful of well-resourced labs, in contrast to the decentralized world of the open internet that made Cerf’s own protocols so durable. However, Cerf predicted that the rise of AI agents — software that can act autonomously and coordinate with other software — would push tech companies back towards standardized protocols.

“The agentic model of AI, with multiple agents from multiple sources interacting with each other, is going to force composability, and a requirement for interoperability and standardization,” Cerf said.

If he’s right, the companies that define those interoperability standards early could end up with outsized influence over how the agentic economy actually works — a dynamic not unlike the early internet protocol wars.

While other panelists speculated that natural language communication between LLM agents would be sufficient, Cerf predicted formal standards would be required.

“I don’t think English is going to be the best choice. There’s a flexibility in it, but there’s ambiguity, and I think precision for interagent interaction is going to be very, very important. An agent really needs to be sure the other agent understands what it is that they just agreed to do together,” Cerf said.

“Remember the old telephone game where you wish you’d whispered in somebody’s ear and then by the time it got to 10 people away the message was totally different? Imagine a bunch of agents talking to each other in natural language, you know, that’s kind of terrifying.”

In a more light-hearted moment, Patterson recalled meeting Cerf, known for his wardrobe of three-piece suits, as a grad student in the 1970s.

“He’s always been the best dressed computer scientist I’ve ever met,” Patterson said. “My memory of Vint is that he came as a grad student with a shirt and tie in the 70s.”

“It absolutely is true,” Cerf said. “I even had a vest, and for some reason I always wanted to stick out, and instead of having long hair, and something in my nose, I thought just dressing differently was one way to do it.”

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

#Father #Internet #finally #retiring #TechCrunchExclusive

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