Tech-news – Page 2

I was offline last week in my home state of New Jersey, but when I got back to Silicon Valley, everyone was panicking again about how quickly artificial intelligence is advancing. While this is certainly not the first time I’ve seen such concerns, it’s the biggest anxiety attack I’ve seen in years.

More than 1,000 employees at OpenAI, Anthropic, and other AI labs signed a petition earlier this week arguing the US should find a way to “pace” the AI race—a diplomatic way of saying the industry should have the option to coordinate a temporary pause on AI development, or slow things down if they get out of hand. OpenAI and Anthropic themselves ended up supporting the letter.

The petition arrived a week after OpenAI revealed it had caused an unprecedented cybersecurity incident in which one of its AI agents hacked into Hugging Face’s platform and several other services during internal testing.

Around the same time, top Trump administration officials started freaking out about an impressive new Chinese open weight AI model called Kimi K3, which was allegedly distilled from Anthropic’s Fable 5. In response, most of the tech industry—except Anthropic—signed onto an open letter from Nvidia asking the US government to protect open-weight AI models, arguing they’re a necessary counterbalance to their closed counterparts.

These events might look like a whole bunch of disjointed chaos. But I think they are evidence of a larger worldview taking hold in Silicon Valley, where many tech insiders are increasingly worried about OpenAI and Anthropic’s dominance. Researchers and investors I’ve talked to recently have framed the AI industry as a two-horse race that doesn’t seem to be slowing down, and that’s a cause for concern.

But different groups have their own reasons to be worried. Some OpenAI and Anthropic staffers think their employers are behaving recklessly in their pursuit to take over the market, and that the AI industry may soon develop models that are too capable for current safety methods to contain. They have said as much in public statements attached to this week’s Pacing the Frontier petition.

“I’ve seen how the relentless pace of AI makes it hard for society to keep up and how it puts pressure on labs to cut corners on safety,” Jeremy Hadfield, a research product manager at Anthropic, said in a statement attached to the petition.

For some AI employees, the Hugging Face debacle was a warning shot that demonstrated how OpenAI’s efforts to mitigate the risks of its most capable AI technology are already falling short. Granted, the incident happened when OpenAI was testing an AI model on its ability to find software exploits, and the company had intentionally turned off safeguards designed to rein in its cybersecurity capabilities.

OpenAI said in its postmortem that these tests were conducted in a sandbox, but the model ultimately gained access to the open internet. Some experts previously told WIRED that OpenAI’s security practices should have been more robust.

Other groups in Silicon Valley are more worried about power than safety. Venture capitalists, tech executives, and startup founders are concerned that OpenAI and Anthropic will simply become the next generation of Apple and Google, forcing the rest of the tech industry to play by their rules. It is slightly strange to argue that private startups with little to no profit are acting like monopolies, but that’s the lens through which many—including Mark Zuckerberg—are starting to view the two biggest AI labs.

The Meta CEO wrote a Wall Street Journal op-ed this week warning against the centralization of power in the AI industry, saying that superintelligence should be widely distributed. Zuckerberg is arguably talking out of both sides of his mouth—Meta recently decided to stop open sourcing its best AI models and instead offering them through a paid API and subscription service, just like OpenAI and Anthropic.

#Freaking #OpenAI #Anthropics #Race #Dominancemodel behavior,artificial intelligence,robotics,generative ai,anthropic,openai,ai safety">

Everyone Is Freaking Out About OpenAI and Anthropic’s Race for DominanceI was offline last week in my home state of New Jersey, but when I got back to Silicon Valley, everyone was panicking again about how quickly artificial intelligence is advancing. While this is certainly not the first time I’ve seen such concerns, it’s the biggest anxiety attack I’ve seen in years.More than 1,000 employees at OpenAI, Anthropic, and other AI labs signed a petition earlier this week arguing the US should find a way to “pace” the AI race—a diplomatic way of saying the industry should have the option to coordinate a temporary pause on AI development, or slow things down if they get out of hand. OpenAI and Anthropic themselves ended up supporting the letter.The petition arrived a week after OpenAI revealed it had caused an unprecedented cybersecurity incident in which one of its AI agents hacked into Hugging Face’s platform and several other services during internal testing.Around the same time, top Trump administration officials started freaking out about an impressive new Chinese open weight AI model called Kimi K3, which was allegedly distilled from Anthropic’s Fable 5. In response, most of the tech industry—except Anthropic—signed onto an open letter from Nvidia asking the US government to protect open-weight AI models, arguing they’re a necessary counterbalance to their closed counterparts.These events might look like a whole bunch of disjointed chaos. But I think they are evidence of a larger worldview taking hold in Silicon Valley, where many tech insiders are increasingly worried about OpenAI and Anthropic’s dominance. Researchers and investors I’ve talked to recently have framed the AI industry as a two-horse race that doesn’t seem to be slowing down, and that’s a cause for concern.But different groups have their own reasons to be worried. Some OpenAI and Anthropic staffers think their employers are behaving recklessly in their pursuit to take over the market, and that the AI industry may soon develop models that are too capable for current safety methods to contain. They have said as much in public statements attached to this week’s Pacing the Frontier petition.“I’ve seen how the relentless pace of AI makes it hard for society to keep up and how it puts pressure on labs to cut corners on safety,” Jeremy Hadfield, a research product manager at Anthropic, said in a statement attached to the petition.For some AI employees, the Hugging Face debacle was a warning shot that demonstrated how OpenAI’s efforts to mitigate the risks of its most capable AI technology are already falling short. Granted, the incident happened when OpenAI was testing an AI model on its ability to find software exploits, and the company had intentionally turned off safeguards designed to rein in its cybersecurity capabilities.OpenAI said in its postmortem that these tests were conducted in a sandbox, but the model ultimately gained access to the open internet. Some experts previously told WIRED that OpenAI’s security practices should have been more robust.Other groups in Silicon Valley are more worried about power than safety. Venture capitalists, tech executives, and startup founders are concerned that OpenAI and Anthropic will simply become the next generation of Apple and Google, forcing the rest of the tech industry to play by their rules. It is slightly strange to argue that private startups with little to no profit are acting like monopolies, but that’s the lens through which many—including Mark Zuckerberg—are starting to view the two biggest AI labs.The Meta CEO wrote a Wall Street Journal op-ed this week warning against the centralization of power in the AI industry, saying that superintelligence should be widely distributed. Zuckerberg is arguably talking out of both sides of his mouth—Meta recently decided to stop open sourcing its best AI models and instead offering them through a paid API and subscription service, just like OpenAI and Anthropic.#Freaking #OpenAI #Anthropics #Race #Dominancemodel behavior,artificial intelligence,robotics,generative ai,anthropic,openai,ai safety

July 30, 2026

Tech-news

I was offline last week in my home state of New Jersey, but when I got back to Silicon Valley, everyone was panicking again about how quickly artificial intelligence is advancing. While this is certainly not the first time I’ve seen such concerns, it’s the biggest anxiety attack I’ve seen in years.
More than 1,000 employees at OpenAI, Anthropic, and other AI labs signed a petition earlier this week arguing the US should find a way to “pace” the AI race—a diplomatic way of saying the industry should have the option to coordinate a temporary pause on AI development, or slow things down if they get out of hand. OpenAI and Anthropic themselves ended up supporting the letter.
The petition arrived a week after OpenAI revealed it had caused an unprecedented cybersecurity incident in which one of its AI agents hacked into Hugging Face’s platform and several other services during internal testing.
Around the same time, top Trump administration officials started freaking out about an impressive new Chinese open weight AI model called Kimi K3, which was allegedly distilled from Anthropic’s Fable 5. In response, most of the tech industry—except Anthropic—signed onto an open letter from Nvidia asking the US government to protect open-weight AI models, arguing they’re a necessary counterbalance to their closed counterparts.
These events might look like a whole bunch of disjointed chaos. But I think they are evidence of a larger worldview taking hold in Silicon Valley, where many tech insiders are increasingly worried about OpenAI and Anthropic’s dominance. Researchers and investors I’ve talked to recently have framed the AI industry as a two-horse race that doesn’t seem to be slowing down, and that’s a cause for concern.
But different groups have their own reasons to be worried. Some OpenAI and Anthropic staffers think their employers are behaving recklessly in their pursuit to take over the market, and that the AI industry may soon develop models that are too capable for current safety methods to contain. They have said as much in public statements attached to this week’s Pacing the Frontier petition.
“I’ve seen how the relentless pace of AI makes it hard for society to keep up and how it puts pressure on labs to cut corners on safety,” Jeremy Hadfield, a research product manager at Anthropic, said in a statement attached to the petition.
For some AI employees, the Hugging Face debacle was a warning shot that demonstrated how OpenAI’s efforts to mitigate the risks of its most capable AI technology are already falling short. Granted, the incident happened when OpenAI was testing an AI model on its ability to find software exploits, and the company had intentionally turned off safeguards designed to rein in its cybersecurity capabilities.
OpenAI said in its postmortem that these tests were conducted in a sandbox, but the model ultimately gained access to the open internet. Some experts previously told WIRED that OpenAI’s security practices should have been more robust.
Other groups in Silicon Valley are more worried about power than safety. Venture capitalists, tech executives, and startup founders are concerned that OpenAI and Anthropic will simply become the next generation of Apple and Google, forcing the rest of the tech industry to play by their rules. It is slightly strange to argue that private startups with little to no profit are acting like monopolies, but that’s the lens through which many—including Mark Zuckerberg—are starting to view the two biggest AI labs.
The Meta CEO wrote a Wall Street Journal op-ed this week warning against the centralization of power in the AI industry, saying that superintelligence should be widely distributed. Zuckerberg is arguably talking out of both sides of his mouth—Meta recently decided to stop open sourcing its best AI models and instead offering them through a paid API and subscription service, just like OpenAI and Anthropic.

#Freaking #OpenAI #Anthropics #Race #Dominancemodel behavior,artificial intelligence,robotics,generative ai,anthropic,openai,ai safety">Everyone Is Freaking Out About OpenAI and Anthropic’s Race for Dominance

#Freaking #OpenAI #Anthropics #Race #Dominancemodel behavior,artificial intelligence,robotics,generative ai,anthropic,openai,ai safety

I was offline last week in my home state of New Jersey, but when I…

Critical coverage usually draws an angry email or two. For Ina and David Steiner, it led to live cockroaches, a fetal pig, and a bloody Halloween mask.

On Monday, July 27, eBay and several former executives agreed to pay $55.7 million to resolve the couple’s lawsuit over the 2019 corporate harassment campaign.

The Steiners are the married founders of EcommerceBytes, a news site covering eBay and the broader ecommerce industry. They filed the civil case in 2021 after members of eBay’s security team sent them threats, disturbing packages, and unwanted visitors in an effort to influence the site’s reporting.

Of the $55.7 million settlement, $48.7 million will go directly to the Steiners. EBay will pay $46.15 million, former CEO Devin Wenig will pay $2 million, former senior vice president Wendy Jones will pay $500,000, and former chief communications officer Steve Wymer will pay $50,000. The remaining $7 million will go to nonprofit organizations. EBay will contribute $6 million, while Wenig will donate another $1 million to a group protecting First Amendment rights in Ina Steiner’s name.

The agreement also allows the Steiners to keep talking publicly about the case. It contains no confidentiality provision, a priority for the couple because they wanted the settlement to discourage other corporations from trying to intimidate journalists over critical coverage.

To understand why the Steiners considered that transparency so important, it helps to go back to how the campaign began.

From critical coverage to criminal charges

When eBay’s security team began targeting the Steiners in 2019, the couple had already spent two decades covering the company and other online marketplaces, such as Amazon and Etsy. Through EcommerceBytes, they reported on the issues affecting online sellers, including fees, policy changes, and the executives making those decisions.

The internal lead-up to the campaign only became clear years later — the Steiners initially filed their civil lawsuit in July 2021 and amended it in March 2023. Ina Steiner later told Wired in July 2026 that the litigation gave the couple access to roughly 68,000 documents showing how eBay executives discussed the site behind the scenes.

Those records traced a steady escalation. According to the amended complaint, Wenig sent Wymer a link to an April 10, 2019, EcommerceBytes article about his compensation. Wymer responded, “We are going to crush this lady.”

Mashable Light Speed

The following month, Jones allegedly asked eBay security chief Jim Baugh to address criticism of the company “off the radar” and told him she did not want to know the details. Then, on Aug. 1, 2019, EcommerceBytes published an article questioning Wenig’s handling of eBay’s litigation against Amazon. Within half an hour, Wenig allegedly told Wymer that if they were ever going to “take her down,” referring to Ina Steiner, “now is the time.”

This Tweet is currently unavailable. It might be loading or has been removed.

Four days later, the harassment campaign allegedly began. According to eBay’s admissions to federal prosecutors, members of its security team targeted the Steiners between Aug. 5 and Aug. 23, 2019. Anonymous accounts on what was then Twitter criticized EcommerceBytes and threatened to show up at the couple’s home in Natick, Massachusetts.

The campaign quickly reached their front door. In addition to the cockroaches, fetal pig, and bloody mask, the group allegedly sent live spiders, fly larvae, a funeral wreath, and a book about surviving the death of a spouse. Pornographic magazines addressed to David were allegedly delivered to a neighbor, while Craigslist ads allegedly invited strangers to the Steiners’ home for sex, a block party, and an estate sale. One night, an emergency plumber even arrived unannounced.

As the messages and deliveries continued, the language inside eBay remained aggressive. On Aug. 11, Wymer allegedly told Baugh, “I want to see ashes. As long as it takes. Whatever it takes.” The group also took the harassment offline — several members of eBay’s security team allegedly traveled from California to Massachusetts, followed the Steiners in a rented van, and attempted to install a GPS tracker on their car.

This Tweet is currently unavailable. It might be loading or has been removed.

They also had an unusual plan for how the campaign would end. EBay security manager Brian Gilbert, a former police captain, was allegedly supposed to approach the Steiners and offer to stop the attacks his colleagues were secretly carrying out. EBay would then appear to have solved a problem its own employees had created.

That plan unraveled when the Steiners realized they were being followed and contacted local police. Once members of the group learned they were under investigation, they allegedly made false statements, deleted digital evidence, and falsified records in an attempt to hide eBay’s involvement.

This Tweet is currently unavailable. It might be loading or has been removed.

Wenig, Wymer, and Jones were not criminally charged, and Wenig has maintained that he was requesting a communications response and knew nothing about the harassment. EBay’s internal investigation found his messages inappropriate but said it uncovered no evidence that he authorized the security team’s actions.

Federal prosecutors eventually charged seven former eBay employees and contractors in 2020, all of whom eventually pleaded guilty. Four received prison sentences between July 2021 and October 2022, including Baugh, who was sentenced to 57 months in September 2022. Two others received one year of home confinement later that year. The final defendant, Gilbert, was sentenced in July 2024 to time served and one year of supervised release.

This Tweet is currently unavailable. It might be loading or has been removed.

The consequences also reached eBay itself. In January 2024, federal prosecutors charged the company with six felony offenses, including stalking, witness tampering, and obstruction of justice. EBay admitted to a detailed account of the campaign, paid the maximum penalty of $3 million, and agreed to retain an independent compliance monitor for three years.

The new settlement, though, resolves the Steiners’ civil claims against eBay, Wenig, Jones, and Wymer. The couple also reached separate settlements with the other former employees named in the lawsuit, although those terms were not disclosed.

EBay says it has changed

In a public statement published July 28, 2026, eBay called what happened “wrong, reprehensible and should never have happened.” The company condemned the employees who pleaded guilty and acknowledged the “unprofessional tone” of messages involving Wenig, Wymer, and Jones.

EBay said new leaders have joined the company since 2019 and that it has strengthened its policies, internal controls, and employee training. Wenig has continued to maintain that he knew nothing about the campaign, saying through a representative that he was saddened it happened while he was CEO.

After the packages, threats, surveillance, criminal cases, and six years of litigation, the campaign still failed at its original goal. EcommerceBytes remains online, and Ina Steiner got to publish the news of eBay’s settlement herself. Talk about closure!

#EBay #pay #million #journalists #cyberstalking #case">

EBay to pay .7 million in journalists’ cyberstalking case
Critical coverage usually draws an angry email or two. For Ina and David Steiner, it led to live cockroaches, a fetal pig, and a bloody Halloween mask.On Monday, July 27, eBay and several former executives agreed to pay .7 million to resolve the couple’s lawsuit over the 2019 corporate harassment campaign.The Steiners are the married founders of EcommerceBytes, a news site covering eBay and the broader ecommerce industry. They filed the civil case in 2021 after members of eBay’s security team sent them threats, disturbing packages, and unwanted visitors in an effort to influence the site’s reporting.
Of the .7 million settlement, .7 million will go directly to the Steiners. EBay will pay .15 million, former CEO Devin Wenig will pay million, former senior vice president Wendy Jones will pay 0,000, and former chief communications officer Steve Wymer will pay ,000. The remaining million will go to nonprofit organizations. EBay will contribute million, while Wenig will donate another million to a group protecting First Amendment rights in Ina Steiner’s name.The agreement also allows the Steiners to keep talking publicly about the case. It contains no confidentiality provision, a priority for the couple because they wanted the settlement to discourage other corporations from trying to intimidate journalists over critical coverage.To understand why the Steiners considered that transparency so important, it helps to go back to how the campaign began.From critical coverage to criminal chargesWhen eBay’s security team began targeting the Steiners in 2019, the couple had already spent two decades covering the company and other online marketplaces, such as Amazon and Etsy. Through EcommerceBytes, they reported on the issues affecting online sellers, including fees, policy changes, and the executives making those decisions.The internal lead-up to the campaign only became clear years later — the Steiners initially filed their civil lawsuit in July 2021 and amended it in March 2023. Ina Steiner later told Wired in July 2026 that the litigation gave the couple access to roughly 68,000 documents showing how eBay executives discussed the site behind the scenes.Those records traced a steady escalation. According to the amended complaint, Wenig sent Wymer a link to an April 10, 2019, EcommerceBytes article about his compensation. Wymer responded, “We are going to crush this lady.”

Mashable Light Speed

The following month, Jones allegedly asked eBay security chief Jim Baugh to address criticism of the company “off the radar” and told him she did not want to know the details. Then, on Aug. 1, 2019, EcommerceBytes published an article questioning Wenig’s handling of eBay’s litigation against Amazon. Within half an hour, Wenig allegedly told Wymer that if they were ever going to “take her down,” referring to Ina Steiner, “now is the time.”

This Tweet is currently unavailable. It might be loading or has been removed.

Four days later, the harassment campaign allegedly began. According to eBay’s admissions to federal prosecutors, members of its security team targeted the Steiners between Aug. 5 and Aug. 23, 2019. Anonymous accounts on what was then Twitter criticized EcommerceBytes and threatened to show up at the couple’s home in Natick, Massachusetts.The campaign quickly reached their front door. In addition to the cockroaches, fetal pig, and bloody mask, the group allegedly sent live spiders, fly larvae, a funeral wreath, and a book about surviving the death of a spouse. Pornographic magazines addressed to David were allegedly delivered to a neighbor, while Craigslist ads allegedly invited strangers to the Steiners’ home for sex, a block party, and an estate sale. One night, an emergency plumber even arrived unannounced.As the messages and deliveries continued, the language inside eBay remained aggressive. On Aug. 11, Wymer allegedly told Baugh, “I want to see ashes. As long as it takes. Whatever it takes.” The group also took the harassment offline — several members of eBay’s security team allegedly traveled from California to Massachusetts, followed the Steiners in a rented van, and attempted to install a GPS tracker on their car.

This Tweet is currently unavailable. It might be loading or has been removed.

They also had an unusual plan for how the campaign would end. EBay security manager Brian Gilbert, a former police captain, was allegedly supposed to approach the Steiners and offer to stop the attacks his colleagues were secretly carrying out. EBay would then appear to have solved a problem its own employees had created.That plan unraveled when the Steiners realized they were being followed and contacted local police. Once members of the group learned they were under investigation, they allegedly made false statements, deleted digital evidence, and falsified records in an attempt to hide eBay’s involvement.

This Tweet is currently unavailable. It might be loading or has been removed.

Wenig, Wymer, and Jones were not criminally charged, and Wenig has maintained that he was requesting a communications response and knew nothing about the harassment. EBay’s internal investigation found his messages inappropriate but said it uncovered no evidence that he authorized the security team’s actions.Federal prosecutors eventually charged seven former eBay employees and contractors in 2020, all of whom eventually pleaded guilty. Four received prison sentences between July 2021 and October 2022, including Baugh, who was sentenced to 57 months in September 2022. Two others received one year of home confinement later that year. The final defendant, Gilbert, was sentenced in July 2024 to time served and one year of supervised release.

This Tweet is currently unavailable. It might be loading or has been removed.

The consequences also reached eBay itself. In January 2024, federal prosecutors charged the company with six felony offenses, including stalking, witness tampering, and obstruction of justice. EBay admitted to a detailed account of the campaign, paid the maximum penalty of million, and agreed to retain an independent compliance monitor for three years.The new settlement, though, resolves the Steiners’ civil claims against eBay, Wenig, Jones, and Wymer. The couple also reached separate settlements with the other former employees named in the lawsuit, although those terms were not disclosed.EBay says it has changedIn a public statement published July 28, 2026, eBay called what happened “wrong, reprehensible and should never have happened.” The company condemned the employees who pleaded guilty and acknowledged the “unprofessional tone” of messages involving Wenig, Wymer, and Jones.EBay said new leaders have joined the company since 2019 and that it has strengthened its policies, internal controls, and employee training. Wenig has continued to maintain that he knew nothing about the campaign, saying through a representative that he was saddened it happened while he was CEO.After the packages, threats, surveillance, criminal cases, and six years of litigation, the campaign still failed at its original goal. EcommerceBytes remains online, and Ina Steiner got to publish the news of eBay’s settlement herself. Talk about closure!

#EBay #pay #million #journalists #cyberstalking #case

July 30, 2026

Tech-news

Critical coverage usually draws an angry email or two. For Ina and David Steiner, it led to live cockroaches, a fetal pig, and a bloody Halloween mask.
On Monday, July 27, eBay and several former executives agreed to pay $55.7 million to resolve the couple’s lawsuit over the 2019 corporate harassment campaign.
The Steiners are the married founders of EcommerceBytes, a news site covering eBay and the broader ecommerce industry. They filed the civil case in 2021 after members of eBay’s security team sent them threats, disturbing packages, and unwanted visitors in an effort to influence the site’s reporting.

Of the $55.7 million settlement, $48.7 million will go directly to the Steiners. EBay will pay $46.15 million, former CEO Devin Wenig will pay $2 million, former senior vice president Wendy Jones will pay $500,000, and former chief communications officer Steve Wymer will pay $50,000. The remaining $7 million will go to nonprofit organizations. EBay will contribute $6 million, while Wenig will donate another $1 million to a group protecting First Amendment rights in Ina Steiner’s name.
The agreement also allows the Steiners to keep talking publicly about the case. It contains no confidentiality provision, a priority for the couple because they wanted the settlement to discourage other corporations from trying to intimidate journalists over critical coverage.
To understand why the Steiners considered that transparency so important, it helps to go back to how the campaign began.

From critical coverage to criminal charges

Mashable Light Speed

This Tweet is currently unavailable. It might be loading or has been removed.

EBay says it has changed

#EBay #pay #million #journalists #cyberstalking #case">EBay to pay $55.7 million in journalists’ cyberstalking case

Critical coverage usually draws an angry email or two. For Ina and David Steiner, it led to live cockroaches, a fetal pig, and a bloody Halloween mask.

On Monday, July 27, eBay and several former executives agreed to pay $55.7 million to resolve the couple’s lawsuit over the 2019 corporate harassment campaign.

To understand why the Steiners considered that transparency so important, it helps to go back to how the campaign began.

From critical coverage to criminal charges

Mashable Light Speed

This Tweet is currently unavailable. It might be loading or has been removed.

EBay says it has changed

#EBay #pay #million #journalists #cyberstalking #case

Critical coverage usually draws an angry email or two. For Ina and David Steiner, it…

Zoox just got permission to charge for robotaxi rides in its boxy, steering-wheel-less vehicles. On Thursday, the National Highway Traffic Safety Administration announced it has granted the Amazon-owned Zoox a temporary exemption, allowing it to deploy up to 2,500 vehicles annually over the next two years, as reported earlier by Reuters.

In its decision, the NHTSA says it determined that Zoox robotaxis “have an equivalent or greater level of motor vehicle safety” compared to vehicles compliant with federal vehicle safety standards. Under the exemption, Zoox will be subject to “an enhanced oversight condition” that “may update and expand” as the company’s self-driving technology evolves. Zoox issued a software recall for its vehicles earlier this month over concerns that they may not detect smoke.

#Zoox #charge #rides #steeringwheelfree #robotaxisAmazon,Autonomous Cars,Electric Cars,News,Tech,Transportation">

Zoox can now charge for rides in its steering-wheel-free robotaxisZoox just got permission to charge for robotaxi rides in its boxy, steering-wheel-less vehicles. On Thursday, the National Highway Traffic Safety Administration announced it has granted the Amazon-owned Zoox a temporary exemption, allowing it to deploy up to 2,500 vehicles annually over the next two years, as reported earlier by Reuters.In its decision, the NHTSA says it determined that Zoox robotaxis “have an equivalent or greater level of motor vehicle safety” compared to vehicles compliant with federal vehicle safety standards. Under the exemption, Zoox will be subject to “an enhanced oversight condition” that “may update and expand” as the company’s self-driving technology evolves. Zoox issued a software recall for its vehicles earlier this month over concerns that they may not detect smoke.#Zoox #charge #rides #steeringwheelfree #robotaxisAmazon,Autonomous Cars,Electric Cars,News,Tech,Transportation

July 30, 2026

Tech-news

Zoox just got permission to charge for robotaxi rides in its boxy, steering-wheel-less vehicles. On Thursday, the National Highway Traffic Safety Administration announced it has granted the Amazon-owned Zoox a temporary exemption, allowing it to deploy up to 2,500 vehicles annually over the next two years, as reported earlier by Reuters.

#Zoox #charge #rides #steeringwheelfree #robotaxisAmazon,Autonomous Cars,Electric Cars,News,Tech,Transportation">Zoox can now charge for rides in its steering-wheel-free robotaxis

#Zoox #charge #rides #steeringwheelfree #robotaxisAmazon,Autonomous Cars,Electric Cars,News,Tech,Transportation

Zoox just got permission to charge for robotaxi rides in its boxy, steering-wheel-less vehicles. On…

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

#content #floods #internet #Pangram #raises #detect #TechCrunchai slop">

July 29, 2026

Tech-news

New York-based AI detection startup Pangram is on a mission to combat the AI slop infestation spreading across the internet, and it just raised $9 million on a bet that demand for tools that distinguish human-generated content from AI-generated text will only grow.

Pangram’s fundraise — led by Menlo Ventures, with participation from Haystack, ScOp, Script Capital, and Cadenza — comes as the startup also launches its next-generation AI text detection model, Pangram 4, and an AI image detection model, Pangram Image.

Pangram says the new text detection model is over 99% accurate at finding AI-assisted writing and mixed human-AI content, plus it can more easily detect AI humanizer programs. The AI image detector is only available via research preview for now; Pangram plans to release it more widely in the coming weeks.

Stanford AI and machine learning grads Max Spero and Bradley Emi launched Pangram about two years ago, after the launch of ChatGPT opened the floodgates for an internet full of bots, AI-generated SEO slop content, and what Spero calls “LLM-powered Russian disinformation campaigns and UAE-influenced campaigns on Twitter.”

“I think it’s just incredibly valuable to know whether what you’re looking at is something that’s AI-generated or not,” Spero told TechCrunch. “Especially text that you’re reading, because it changes how people approach the text. Is this something that I’m going to have to look out for hallucinations and jump in skeptically, or is this something that I trust was well-researched from an actual journalist?”

Pangram’s AI detection system is essentially a large machine learning model that was trained on tens of millions of known human documents. The startup then created a “synthetic mirror” for each document, replicating the topic, length, and tone of voice, but written by a frontier LLM.

“Our model is learning the stylistic differences and the choices that AI makes consistently and is able to use that to learn what makes something AI-generated with high confidence,” Spero said, adding that the AI detector isn’t relying on copy-paste metadata or hidden watermarks.

For Pangram, AI detection isn’t just about whether or not a piece of text was written entirely by AI. It’s also about distinguishing between levels of AI assistance — like in the case of someone who writes something themselves, but then asks AI to edit or clean it up. Spero believes AI assistance can be acceptable, just so long as the writer discloses their use of AI.

Image Credits:Pangram

Pangram’s emergence comes at a time when AI usage is becoming more commonplace. In some cases, like the Canadian politician who read an AI prompt aloud in a speech to lawmakers, the mistakes result in ridicule. In other cases, as with certain lawyers making their case using fake citations created by ChatGPT, the consequences could be sanctions and fines.

That backlash isn’t just costing individuals embarrassment or sanctions — it’s starting to show up in institutional rules, too.

The open-access archive arXiv introduced a new enforcement policy this year, stating that submissions containing evidence that authors failed to review LLM output (like hallucinated references or meta comments such as, “Would you like me to make any changes?”) can trigger a one-year submission ban.

Pangram isn’t the only one betting that AI detection will become more sought after. Competitors like Winston AI, Originality.ai, Copyleaks, and GPTZero are are chasing the same demand, each building its own detector.

Pangram’s technology, while not perfect, could help fuel the resistance to accepting the AI-generated content flooding the internet, the courtroom, and academic papers.

Users can access Pangram via a $20-per-month subscription on the web or download the Chrome extension, which automatically labels posts in real time on X, LinkedIn, Substack, Reddit, and Medium. It also provides a feed health score with a percentage breakdown of human versus AI content on your screen.

Pangram also offers its technology via API. Notably, Substack recently integrated Pangram’s technology into its platform to show readers which of their favorite authors write their newsletters using AI. Other API customers include Quora, schools and universities, publishers and agents, and recruiters, among others, per Spero.

Does Pangram work?

Pangram detected AI-generated content even when lightly edited by a human. Image Credits:Pangram/TechCrunch

Spero said roughly one in 10,000 human documents are incorrectly labeled as AI with Pangram’s model, so I decided to put it to the test. The text detection model was very impressive but not perfect. It easily flagged entirely AI-generated news articles written by both ChatGPT and Claude, and was rarely fooled by my attempts to edit the AI-generated text into sounding more human. At the same time, Pangram did flag sentences that I completely rewrote as being AI-written. Pangram also wasn’t at all fooled by my attempts to prompt ChatGPT and Claude into evading AI detectors when generating content.

I also gave ChatGPT and Claude one of my own articles and asked them to polish it up. Pangram gave it a 13% AI assisted score, which was probably close to accurate, but the model was able to detect subtle word-choice changes in some sentences and ignored them in others. It also flagged some sentences as AI-assisted when they were human written. That was notable because when I gave Pangram that same article in its entirety, as I had written it, it got a 100% human score.

Maybe the problem was that news articles can be a bit dry and could easily sound like AI. So I tried a different tactic. I tested Pangram on my own more voicey, personal Substack newsletter content, pasting the first half of the text into Pangram and then asking ChatGPT and Claude to copy my style and write the second half. For the most part, Pangram easily detected human-written text versus AI-written text.

My limited testing of Pangram’s new image detection model turned out to be equally impressive.

Image Credits:Pangram/TechCrunch

Pangram’s AI image detection system promises to spot AI-generated images across AI models, unlike OpenAI’s or Google DeepMind’s watermark-based checks, which mostly detect their own output. It works on pixel-level distributions, learning subtle statistical differences between real photos and AI-generated images. Spero says the model can even detect an AI image that appears inside a real-world photo.

In my testing, the model easily detected AI-generated imagery, whether it was photorealistic or cartoonish. I can also confirm the model could detect an AI image appearing in a real-world photo — the heat map Pangram provides clearly lighting up over the image — though in one instance it incorrectly labeled a photo of an AI-generated image as human content.

Spero says he doesn’t want his technology to fuel a witch hunt against people using AI for writing, but that there needs to be some sort of mechanism to push back against the slop.

“The future that I see is that AI content just continues to proliferate,” Spero said. “We’re getting new GPUs faster than new people are being born. If we do not actively discriminate in favor of human content, then we’re just gonna see more and more AI, and it’s just gonna drown out any human signal that we have.”

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#content #floods #internet #Pangram #raises #detect #TechCrunchai slop">As AI content floods the internet, Pangram raises $9M to detect it | TechCrunch

New York-based AI detection startup Pangram is on a mission to combat the AI slop infestation spreading across the internet, and it just raised $9 million on a bet that demand for tools that distinguish human-generated content from AI-generated text will only grow.

Pangram’s fundraise — led by Menlo Ventures, with participation from Haystack, ScOp, Script Capital, and Cadenza — comes as the startup also launches its next-generation AI text detection model, Pangram 4, and an AI image detection model, Pangram Image.

Pangram says the new text detection model is over 99% accurate at finding AI-assisted writing and mixed human-AI content, plus it can more easily detect AI humanizer programs. The AI image detector is only available via research preview for now; Pangram plans to release it more widely in the coming weeks.

Stanford AI and machine learning grads Max Spero and Bradley Emi launched Pangram about two years ago, after the launch of ChatGPT opened the floodgates for an internet full of bots, AI-generated SEO slop content, and what Spero calls “LLM-powered Russian disinformation campaigns and UAE-influenced campaigns on Twitter.”

“I think it’s just incredibly valuable to know whether what you’re looking at is something that’s AI-generated or not,” Spero told TechCrunch. “Especially text that you’re reading, because it changes how people approach the text. Is this something that I’m going to have to look out for hallucinations and jump in skeptically, or is this something that I trust was well-researched from an actual journalist?”

Pangram’s AI detection system is essentially a large machine learning model that was trained on tens of millions of known human documents. The startup then created a “synthetic mirror” for each document, replicating the topic, length, and tone of voice, but written by a frontier LLM.

“Our model is learning the stylistic differences and the choices that AI makes consistently and is able to use that to learn what makes something AI-generated with high confidence,” Spero said, adding that the AI detector isn’t relying on copy-paste metadata or hidden watermarks.

For Pangram, AI detection isn’t just about whether or not a piece of text was written entirely by AI. It’s also about distinguishing between levels of AI assistance — like in the case of someone who writes something themselves, but then asks AI to edit or clean it up. Spero believes AI assistance can be acceptable, just so long as the writer discloses their use of AI.

Pangram’s emergence comes at a time when AI usage is becoming more commonplace. In some cases, like the Canadian politician who read an AI prompt aloud in a speech to lawmakers, the mistakes result in ridicule. In other cases, as with certain lawyers making their case using fake citations created by ChatGPT, the consequences could be sanctions and fines.

That backlash isn’t just costing individuals embarrassment or sanctions — it’s starting to show up in institutional rules, too.

The open-access archive arXiv introduced a new enforcement policy this year, stating that submissions containing evidence that authors failed to review LLM output (like hallucinated references or meta comments such as, “Would you like me to make any changes?”) can trigger a one-year submission ban.

Pangram isn’t the only one betting that AI detection will become more sought after. Competitors like Winston AI, Originality.ai, Copyleaks, and GPTZero are are chasing the same demand, each building its own detector.

Pangram’s technology, while not perfect, could help fuel the resistance to accepting the AI-generated content flooding the internet, the courtroom, and academic papers.

Users can access Pangram via a $20-per-month subscription on the web or download the Chrome extension, which automatically labels posts in real time on X, LinkedIn, Substack, Reddit, and Medium. It also provides a feed health score with a percentage breakdown of human versus AI content on your screen.

Pangram also offers its technology via API. Notably, Substack recently integrated Pangram’s technology into its platform to show readers which of their favorite authors write their newsletters using AI. Other API customers include Quora, schools and universities, publishers and agents, and recruiters, among others, per Spero.

Does Pangram work?

Pangram detected AI-generated content even when lightly edited by a human. **Image Credits:**Pangram/TechCrunch

My limited testing of Pangram’s new image detection model turned out to be equally impressive.

Spero says he doesn’t want his technology to fuel a witch hunt against people using AI for writing, but that there needs to be some sort of mechanism to push back against the slop.

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

#content #floods #internet #Pangram #raises #detect #TechCrunchai slop

New York-based AI detection startup Pangram is on a mission to combat the AI slop…

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From critical coverage to criminal charges

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Platform Comparison at a Glance

Which Type of Trader Are You?

SkinsMonkey

CS.MONEY

Tradeit.gg

Swap.gg

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Why SkinsMonkey Is a Strong All-Round Choice

Conclusion

Start by Understanding Your Trading Needs

Platform Comparison at a Glance

Which Type of Trader Are You?

SkinsMonkey

CS.MONEY

Tradeit.gg

Swap.gg

Questions to Ask Before Choosing a Platform

Why SkinsMonkey Is a Strong All-Round Choice

Conclusion

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Does Pangram work?

Does Pangram work?

Does Pangram work?