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"Sam Altman says we need to slow down development to ensure the safety of humanity," one campaigner said of OpenAI's CEO. "Yet he is allegedly firing the very people hired to keep us safe."
San Francisco-based artificial intelligence firm OpenAI has "parted ways" with three safety researchers who allegedly shared "confidential company information," The Wall Street Journal reported Thursday, prompting fresh alarm among critics who accuse the ChatGPT maker of sidelining internal warnings about the risks posed by its increasingly powerful AI.
People reportedly familiar with the matter told the Journal that OpenAI recently informed employees it had terminated the three researchers, who it accused of sharing the information with "a third-party AI safety organization."
OpenAI did not identify the researchers, the outside organization, or the information allegedly shared. A company spokesperson told the newspaper that "our investigation confirmed that these individuals mishandled sensitive information outside established company procedures, violating our policies and breaking the trust essential to our work.”
The Journal's Maxwell Zeff—who authored the report with Keach Hagey and Berber Jin—subsequently identified the three safety team members as Jasmine Wang, Tomek Korbak, and Mikita Balesni.
"Looks like they're firing whistleblowers," Congressional Progressive Caucus Chair Greg Casar (D-Texas) said in response to the report. "What are they hiding?"
"I'll be sending OpenAI a demand for transparency," he added.
Shaunna Thomas is the executive director of Guardrails Alliance, a super political action committee made up of "workers, organizers, policy experts, and everyday people who believe the most powerful technology ever built shouldn’t be controlled by a handful of unaccountable billionaires."
Thomas called the Journal report "the latest example of OpenAI advocating for safety measures in the public eye, but actively making decisions and lobbying against those efforts behind closed doors."
"Sam Altman says we need to slow down development to ensure the safety of humanity," Thomas said, referring to OpenAI's CEO. "Yet he is allegedly firing the very people hired to keep us safe. When deep insiders are sounding the alarm, history tells us to listen. OpenAI is not only ignoring their warnings, it’s punishing them."
"In the absence of clear regulations, insiders are a crucial factor in keeping the rest of us safe as these models continue to do unpredictable things," she added. "We must stand with rank-and- file employees and fight for their protection."
The new allegations come amid an intensifying debate over whether OpenAI and other frontier AI companies can adequately police themselves.
As Common Dreams recently reported, OpenAI and other AI firms are investigating tens of thousands of security incidents, including episodes involving attempts to bypass guardrails, escape sandboxes, hijack websites, and even access government systems.
In July, an OpenAI model autonomously breached the systems of the open-source platform Hugging Face during an internal cybersecurity test. Experts warned that the incident demonstrated the dangers of relying on voluntary corporate safeguards.
It's not just OpenAI; in 2026 alone, companies including Google, Meta, and Anthropic have reported incidents of AI autonomously escaping supposedly isolated testing environments and targeting real-world systems.
AI safety campaigners and some Democratic lawmakers this week lambasted President Donald Trump, who, after meeting with Big Tech executives including OpenAI president Greg Brockman, dismissed the lack of legally binding commitments regarding AI regulation by saying he trusted the corporate leaders' "morally binding" self-policing pledge.
Elon Musk, CEO of the artificial intelligence company xAI, has said that such incidents “will happen frequently as AI becomes smarter and more agentic,” a reference to systems’ ability to independently act toward accomplishing specific goals without meaningful human control.
Experts say such autonomous hacks underscore the problem of AI alignment. As AI progresses toward artificial general intelligence—a still-hypothetical point at which it matches or surpasses human cognitive ability at virtually any intellectual, creative, or physical task—the challenge of ensuring that advanced systems reliably pursue goals that match what humans actually want becomes increasingly difficult and, many insiders believe, dangerous to the point of posing an existential risk to humanity.
Last month, Casar and Sen. Bernie Sanders (I-Vt.) unveiled legislation that would pause development of advanced AI.
Congressman Ro Khanna (D-Calif.) also said this week that he is seeking to introduce legislation to at least temporarily ban recursive self-improvement, or AI that is capable of improving itself and modifying its objectives without meaningful human input.
And on Thursday, Congresswoman Pramila Jayapal (D-Wash.) put forth a bill that would compel every AI company operating in the US to obtain a public charter.
“This issue is of monumental consequence,” said Sanders. “I’d rather be called an alarmist than a father or grandfather who is asleep at the wheel."
Remember, these industry leaders are doing what they do for money—and lots of it. They are choosing to endanger the property and lives of others for personal profit. If they mess up, they should be forced to pay a very high price.
Amidst all the talk of the need for government regulation of AI, there has been too little discussion of the simplest route: criminal liability. The basic story is that the AI companies are being irresponsible in dealing with a product they know to be dangerous. The companies and the people who run them need to know that they face serious monetary risk from letting their little models run wild, and possibly criminal prosecution and jail time.
To be clear, sensible regulation of AI would be desirable. But let’s be serious. We have Pete Hegseth, Sean Duffy, and RFK Jr. all running major government departments. Do we really think having someone like this overseeing AI development would be an improvement?
We do already have laws to deal with harms caused by AI; we just need to be prepared to use them. Again, no one would expect President Trump’s personal lawyer and Attorney General Todd Blanche to take criminal or civil actions against AI in the public interest. If there was a major incident, he would most likely look to initiate a prosecution in pursuit of a payoff for dropping the case. But the law does not begin and end with Donald Trump’s Justice Department.
This isn’t a question of vindictiveness. We all know, the AI boys more than anyone, that AI is potentially very dangerous. If they opt to push full speed ahead, without necessary safeguards, they have to be prepared to face the consequences.
If we can forget about the extinction events that keep our pundits busy, and focus instead on the millions of far more likely disasters that AI could cause, there will almost certainly be plenty of room for state-level prosecutions, as well as civil suits.
To take some hypothetical cases, suppose an AI system manages to hack into a city’s traffic control system, and the resulting chaos leads to a number of car crashes, causing serious injuries and death, in addition to property damage. To take another case, suppose AI falsifies clinical trial data, leading a drug to be approved even though the trials show it to be ineffective or dangerous. Or suppose AI gets inside a bank’s computers and makes a total mess of its records in a way that they cannot be reconstructed. (I know banks almost certainly have backups, but our super-intelligent AI can surely get into the backup records as well.)
I know that each of these disasters is extremely unlikely, but all of them are millions or even billions of times more likely than the extinction events we hear about in the media. And given that there are probably millions of disasters like these that AI could possibly cause, there is a pretty good chance that we will see some serious disaster in the not-too-distant future.
As I noted in an earlier piece, a mistaken report from AI led the Navy to put helicopters in the air to board a Chinese cargo ship that they wrongly believed was carrying parts for Iran’s nuclear program. Fortunately, the information was checked, and the helicopters were called back before there was an actual confrontation, but this was luck. Sooner or later we will see a mistake that is not caught.
It would, of course, be best if an AI disaster never happens, but one practice that will substantially reduce the risk is that Sam Altman, Elon Musk, and the rest of the boys understand that their companies will be fully liable for any harm caused and they personally may face criminal liability. In other words, they may not just lose all their money; they may have to spend much of the rest of their lives in prison.
This isn’t a question of vindictiveness. We all know, the AI boys more than anyone, that AI is potentially very dangerous. If they opt to push full speed ahead, without necessary safeguards, they have to be prepared to face the consequences.
Drunk driving is really an appropriate analogy. Everyone should understand that if they get behind the wheel when they are intoxicated, they hugely increase the probability of an accident. That is why we throw people in jail for it. The same standard should apply to OpenAI, Anthropic, and the rest. If they push ahead with testing without appropriate safeguards, they should be prepared to pay the price, including potential criminal penalties.
Remember, they are doing this for money, lots of it. They are choosing to endanger the property and lives of others for personal profit. If they mess up, they should be forced to pay a very high price. Incentives matter.
"Insane that we allow this," one journalist said of the rapidly advancing technology. "Sleepwalking into disaster or worse."
Just days after a United Nations panel of experts warned that current artificial intelligence guardrails are "unraveling," Axios reported Saturday that security researchers, along with the firms Anthropic and OpenAI, "are investigating tens of thousands of incidents," including meddling with US government websites, amid growing calls for immediate action to rein in the technology.
Since OpenAI revealed in July that its models autonomously breached the systems of the open-source platform Hugging Face during internal testing, the firm—plus Anthropic, Google, and Meta—has disclosed some additional incidents.
"After the Hugging Face incident, we committed to conducting a much broader review of actions taken by our models during training and evaluation and to being transparent about our findings," OpenAI said on social media Friday. "Given the scale of the review required, and the need to assess each case, we expect this work will take months to complete."
Meanwhile, "Anthropic has commissioned a third-party safety organization to examine the behavior of its models," Axios detailed Saturday, noting that across both firms, "the sheer number of incidents, which occurred in recent months in internal testing and the real world, indicates that the problem is orders of magnitude more complex than what is publicly known."
"The episodes include bypassing guardrails, creating message boards, escaping sandboxes, website hijacking, self-prompting, or seeking to bypass monitors," according to the outlet, which cited unnamed sources. "Many have yet to become public as security researchers continue to investigate."
Among the incidents announced by OpenAI—which has paused training on its "most capable" models—are 53 cases in which images uploaded by ChatGPT users were leaked before "mitigations and safeguards" were implemented. Reuters noted Friday that the company "declined to say when the images were posted" and "if the images were AI-generated or identified real people."
Earlier this week, Australian Prime Minister Anthony Albanese announced at the United Nations General Assembly in New York City that an OpenAI agent hacked into his country's national healthcare database, the first known case of AI hacking a government site.
"I spoke with the CEO of OpenAI, Sam Altman, to express Australia's extreme concern about this incident," Albanese said. "And I also expressed my disappointment that it took the company way too long to inform the government what had occurred."
Then, the research lab Transluce said Friday that its independent investigation found that apparent OpenAI agents unsuccessfully tried to hack the US Department of Education website. OpenAI confirmed that, as The New York Times put it, the company's "artificial intelligence went rogue and meddled with" not only that government site but also those of the US Department of Commerce and the Securities and Exchange Commission—though "none of the incidents were breaches."
The revelation fueled fresh demands for action in the United States—even calls to force members of the US House of Representatives to return to Washington, DC, where they are not expected until after the November midterm elections.
"Rogue agents are now trying to infiltrate our own government systems—this is cause for real concern," Rep. Josh Gottheimer (D-NJ) said on social media. "Congress must come back to Washington and pass bills like my bipartisan Stop Rogue AI Act so we can protect American families and our national security."
It's not just Gottheimer and Rep. Mike Lawler's (R-NY) bill; Sen. Bernie Sanders (I-Vt.) and Rep. Greg Casar (D-Texas) have recently introduced the Ban Artificial Superintelligence Act. However, House Speaker Mike Johnson (R-La.) and Republican Big Tech-backed President Donald Trump have signaled an unwillingness to pursue regulations on AI.
Universal healthcare campaigner Melanie D'Arrigo said Saturday that "if you were caught hacking into government websites, you’d be sent to prison. When companies who are donors to Trump are caught hacking into government websites, they'll likely just get more tax breaks. This is what a tiered system of justice looks like."
After Axios revealed that tens of thousands of incidents are being probed, economist Dean Baker similarly said that "this is criminal activity and is being done for profit. If we had a real Justice Department, Altman and his cronies at OpenAI (or is 'OpenSI' now?) would be looking at serious time."
Congresswoman Yassamin Ansari (D-Ariz.) declared that "it is imperative that Speaker Johnson hold urgent and bipartisan hearings on advanced AI. The CEOs and engineers of these companies should be testifying in front of the American people. We can't wait until November to regulate this rogue industry."
An AI oversight group said the breach is the first instance of an AI agent hacking into a government website.
Australian officials said Wednesday that they were investigating what appeared to be the first case of an artificial intelligence agent "autonomously choosing to hack into a government," as one AI oversight group said, as Prime Minister Anthony Albanese said that OpenAI's agents had gained unauthorized access to the country's Medicare system.
Albanese commented on the breach at a United Nations summit as world leaders met in New York for the UN General Assembly. He said that while the hacking incident took place in June, OpenAI only disclosed the episode to the government on September 10—and then only by writing an email to a "public mailbox" that is checked once a day.
On June 18, OpenAI's AI agents were directed to conduct internet research into public health spending using the statistics reporting website for Australia's universal healthcare system, Medicare, which provides government-funded healthcare for 27.5 million people.
The agents were repeatedly blocked from gathering information, and then tried "alternate ways” to gain the data, including by hacking into nonpublic sections of the statistics portal, said Albanese.
The prime minister said the agents accessed “public and non-public files within the portal” by "writing files as well to the internal server." He said the agent had not appeared to gain access to anyone's personal medical data.
“This situation is obviously unacceptable,” Albanese said. “Today, I spoke with the CEO of OpenAI, Sam Altman, to express Australia’s extreme concern about this incident, and I also expressed my disappointment that it took the company way too long to inform the government what had occurred.”
JUST IN: An OpenAI AI agent went rogue and hacked the Australian government.
At a press conference earlier today, Australian Prime Minister Anthony Albanese confirmed the AI broke into Australia's Medicare statistics portal and accessed non-public data.
The attack occured in… pic.twitter.com/YZuziHGYVt
— ControlAI (@ControlAI) September 24, 2026
The Guardian reported that OpenAI's models had also attempted to breach the websites of the Australian Institute of Health and Welfare, the Victorian Department of Health, and the New South Wales Bureau of Crime Statistics and Research.
Officials in Victoria and New South Wales said they were investigating the incidents and that it appeared no personal information had been shared in the breach.
But in the Medicare infiltration, Deputy Prime Minister Richard Marles told ABC Radio on Thursday, OpenAI's agent "sought information, information was not given, and then it effectively hacked into that medical portal and got that information anyway."
“It’s that unauthorized access which we are very concerned about," Marles said.
The AI oversight research lab Transluce also identified previously undisclosed breaches that were attempted by OpenAI's models in May, including the unsuccessful attempted hacking of a digital library at the University of New Mexico and of Data USA, which collects public data on employment and education in the US.
The news of OpenAI's Medicare hack follows several disclosures of other breaches by the company's agents. In July, hundreds of its models escaped from a testing environment and gained unauthorized access to the machine learning company Hugging Face.
Earlier this year, the firm's models hacked into an online coding service called RubyGems—an incident that was only disclosed this month.
The security breaches have led AI executives including Altman to call for a "pacing" of AI development as the technology gains the ability to build the next generation of AI on its own, also known as recursive self-improvement.
Meanwhile, lawmakers including US House Speaker Mike Johnson (R-La.) have insisted that the industry should be permitted to regulate itself and claimed that strong government regulations will allow China to "overlap us" on AI development.
On Wednesday, US Sen. Bernie Sanders (I-Vt.) and Rep. Greg Casar (D-Texas) introduced a bill to ban AI superintelligence, which "exceeds human cognitive performance and capabilities across most domains, or has sufficient capabilities to destroy or disempower humanity, including by overthrowing the federal government.”
Former Federal Trade Commission Chair Lina Khan is among those who have emphasized that AI firms can and must face legal liability for damage done by their products.
"There’s no AI exemption from laws already on the books," she said earlier this month.
Lizzie O'Shea, spokesperson for the Australian group Digital Rights Watch, said Thursday that the Medicare breach, and OpenAI's failure to alert the government until months later, show that "basic rules and standards for tech companies" are needed.
"There have to be guardrails and safety measures in place which are way ahead of the capability which is being developed," said O'Shea. "Artificial intelligence has potential to do some things well, but it also poses huge risks—like hacking systems that store Australians’ sensitive personal data... The question is whether governments are going to let AI and tech companies run wild or whether they, on behalf of ordinary people, will put rules in place for tech companies that will promote accountability and trust.”
"We need to adapt existing safeguards and develop new ones to provide system-level assurance, covering both the AI itself and the system around it," one expert said.
As warnings from within the artificial intelligence community fuel growing worldwide calls for regulations on AI, a panel established by the United Nations General Assembly stressed Monday that "the traditional model of safeguarding is unraveling."
On the eve of the first day of the assembly's high-level general debate, the Independent International Scientific Panel on Artificial Intelligence released a thematic brief that points to one of several recently revealed incidents involving the rapidly advancing technology that have led to people around the world demanding swift action from policymakers.
In July, ChatGPT maker OpenAI disclosed what it called "an unprecedented cyber incident," explaining that its AI agents autonomously breached the systems of the prominent open-source platform Hugging Face during internal testing.
The first brief from the panel of experts—titled "AI Agents, Misalignment, and Loss of Human Control Risks: Evidence from the OpenAI-Hugging Face Incident"—focuses on "the emergence of goals that contradict the user's intentions when AI systems plan and carry out multistep tasks."
"A traditional AI system (not goal-seeking) may give a wrong answer because it lacks knowledge, misunderstands a request, or makes a random mistake," the report explains. "Such failures can often be reduced by improving competence or correcting a specific fault."
"A harder problem arises when a capable system's actions consistently work together to achieve a goal that conflicts with the user's intentions (called misalignment)," the brief continues. "In this case, improving the AI system's planning and problem-solving does not address this failure and can instead strengthen the unwanted behavior because the system can better optimize a bad objective which would otherwise be extremely unlikely to result from random mistakes due to AI incompetence."
OpenAI's Hugging Face incident "provides a documented example of this second pattern," the publication notes. "The agents collectively pursued a goal that developers had not assigned: 'cheating' on an evaluation and going to extreme lengths to conceal the evidence. In doing so, they pursued intermediate goals such as escaping their restricted testing environment to access the internet. As a consequence, these agents gained access to real-world systems."
Yoshua Bengio, the panel's co-chair, highlighted in a statement that "researchers have long warned that three conditions could lead to loss of control: a misaligned goal, the capability to pursue it, and an environment that allows it."
"This summer, all three came together in a real system, not a laboratory," he said. "Since this is not an isolated observation of misaligned goals, this raises serious questions about the way AI agents are currently trained."
This incident, the brief says, "exposed failures in several layers at once: network isolation, credential handling, monitoring, and response. The incident illustrates why several layers of safeguards need to be combined."
The good news is, "we are not starting from zero," said panel member Qinghua Lu. "Aviation, medicine, and cybersecurity learned to manage high-risk systems through incident reporting, independent scrutiny, and layered safeguards. But those practices may not be enough as AI agents become more capable, autonomous, and difficult to monitor."
"We need to adapt existing safeguards and develop new ones to provide system-level assurance, covering both the AI itself and the system around it, and ensure these protections remain effective as agents' capabilities grow," she emphasized. "We need to adapt existing safeguards and develop new ones to provide system-level assurance, covering both the AI itself and the system around it."
"If a foreign government or terrorist group did the kind of hacking and IP theft being done by AI giants, America would declare a national security emergency and start a war," said one journalist.
Publicly, billionaire artificial intelligence executives have denied that their product will ultimately replace people in jobs they've spent decades working at, with OpenAI CEO Sam Altman declaring that "AI won't replace humans, but humans who use AI will replace those who don't," in one effort to convince the public to embrace the deeply unpopular expansion of the technology.
But internal documents from OpenAI and Microsoft, unsealed as part of a lawsuit The New York Times and other news outlets filed against the two companies over their scraping of news content in order to train their AI models, tell a different story—one in which executives and workers at the tech giants were fully aware that the practice was meant to result in a "substitutive" product to replace journalists, after stealing millions of articles they'd written.
As the Times reported, employees at Microsoft wrote that by scraping the news content, they were committing the “largest theft of labor in human history.”
Nick Turley, the head of OpenAI's AI chatbot, ChatGPT, wrote that the technology posed an "existential threat" to news publishers and that the goal was for AI products to get "more and more substitutive"—although other employees said the stealing of news content could ultimately negatively impact the quality of the large language models (LLM) they were creating.
“It is highly unusual that an end-product threatens the economic foundations of its essential suppliers, but that is the situation we have created for our LLM business with respect to its ‘content supply chain,’” one document says.
Executives painted a picture of the companies gathering up news content from across the internet, ultimately leaving nothing behind.
Brent Hecht, Microsoft's director of applied science, wrote in an internal memo that eventually, an LLM is "a product that destroys its supply chain."
“Millions of people around the world will soon consider large models ‘hoovering up’ all their work to be an astonishing theft of unprecedented proportions,” Hecht wrote.
Although officials at the two companies expressed these views privately from 2020-24, in response to the lawsuit filed in late 2023 by the Times they have claimed that their use of news content is covered by "fair use" rules pertaining to copyrighted material, and that the articles were turned into new work and are therefore not substitutes for the original articles.
But the unsealed documents, said reporter Shawn Setaro of Complex, show that OpenAI and Microsoft "KNEW they were stealing, and KNEW they were destroying news outlets."
Hecht wrote in one memo that the companies' practice was making “a complete mockery of the idea of ‘fair use.’”
The internal memos were unsealed by Judge Sidney H. Stein of the District Court for the Southern District of New York, who is considering motions for a summary judgment in the lawsuit.
The Times and 11 other outlets that have joined the suit argue that OpenAI and Microsoft violated copyright laws.
One document showed that the companies even developed "a hack" to circumvent paywalls in order to collect paid content.
OpenAI President Greg Brockman replied, "Ah nice" to a note from a staffer telling him about the tool, but Microsoft DEO Satya Nadella said in a deposition that had he been aware that AI teams were scraping paywalled articles, he would have required that OpenAI retrain the models.
"If a foreign government or terrorist group did the kind of hacking and IP theft being done by AI giants, America would declare a national security emergency and start a war," said David Sirota of The Lever. "But because the crime is being done by Silicon Valley billionaires, we’re told by politicians and corporate media that it’s fine, that it should be accelerated, and that we should consider granting them new legal protections/exemptions, as well as new tax subsidies."
In 2020, then-OpenAI policy director Jack Clark wrote to Brockman and Altman that he was concerned the company's AI development practices would "increasingly lead to us creating systems that substitute for the labor of the people that define the ‘culture’ of society.”
While tech executives have spent recent years extolling the virtues of AI—and, recently, threatening that their technology has the capacity to wipe out humanity—Matt Stoller of the American Economic Liberties Project said the documents exposed AI as "an elite crime spree."
"From copyright violations to hacking to monopolization to sex trafficking, the companies behind AI violate the law," he said. "The problem isn't a lack of regulations, it's that the law doesn't apply to the powerful."
The hiring of Jessica Schumer is another example of powerful people and families, regardless of party, who are deeply intertwined with the corporate behemoths that people are organizing against.
The Friday before Labor Day saw news break that OpenAI was beefing up its political influence staff, notably nabbing Jessica Schumer from Amazon to lead the firm’s “policy and partnerships” operations in the Northeast.
Schumer is the daughter of Senate Minority Leader Chuck Schumer (D-NY) and has been a longtime corporate politicker for Big Tech. Naturally, OpenAI was conscious of the potential ethical issues and clarified in a statement to the New York Post that “Jessica will focus on state and local public policy efforts and not federal policy or engagement with Congress. She will not be involved in any advocacy before the Minority Leader or his office related to OpenAI business.”
While superficially reassuring, OpenAI’s supposed commitment to ethics does little to actually address the underlying issue that Democratic leadership, and Chuck Schumer specifically, have been extremely tepid and lethargic, despite the rapid pace of AI industrial buildout and grassroots politics surrounding data centers. Jessica Schumer’s new gig puts an uncomfortable reality front and center: Democrats’ floundering is happening simultaneously to the party’s own political elites reaping financial and professional rewards from the continued strength of AI firms.
The senator played a major role in blocking oversight of the industry behind both his children’s paychecks.
At a time when the lane for an anti-corruption politics is wide open, with more than 90% of Americans believing corruption is a major issue in every branch of our government, Schumer’s hiring is a reminder that powerful people and families of both parties are deeply intertwined with the corporate behemoths that people are organizing against.
People simply do not trust the crop of AI executives to develop the technology responsibly in a way that serves the public interest.
They similarly have little faith in the children of powerful politicians abstaining from leveraging their parents’ status for personal gain. In a 2023 YouGov poll, 85% of respondents believed that children of presidents “always or sometimes profit off of their parents' positions in government;” it seems inconceivable that those numbers would have decreased in the intervening years. It’s hard not to see Jessica Schumer’s case that way; she has built a career around helping advance Big Tech’s legislative agenda in New York, a state her father has held elected office in for literally half a century. As a famously local-focused politician, the idea that the Schumer name would not carry weight in New York politics would be astonishingly naive. The younger Schumer was raised rubbing shoulders with a veritable who’s who of the state political class, creating in-built relationships to local politicos. And those people would have every incentive to try and build relationships with her to keep from risking running afoul of one of the most dominant (perhaps the most, given the righteous electoral defenestration of Andrew Cuomo) political figures in New York politics, and the newly ascendant company that employs her.
All of this would be one thing if it were an aside in an otherwise laudable track record on Sen. Schumer’s part of holding Big Tech to account. But we are quite clearly living on the other hand, where the senator played a major role in blocking oversight of the industry behind both his children’s paychecks (his other daughter, Alison, works for Facebook parent company Meta). He killed the oversight legislation "feared most" by Big Tech while his daughters were employed in marketing at Meta and as a lobbyist for Amazon. Even if Schumer reached that decision without personal bias, reasonable observers cannot help but question the integrity of the policymaking process.
The strongest winds in politics right now are outrage at Trumpian corruption, largely driven by the AI and crypto industries, and aversion to data centers and their impacts on local communities. Opting not to tack into them looks foolish on its own. Paired with leaders’ kids cashing checks from the very firms seeking to influence the government, it looks like dropping anchor in troubled waters.
"Congress has a singular opportunity to respond swiftly and effectively to these warning shots before true catastrophes occur."
A bipartisan coalition of lawmakers in the US House of Representatives on Wednesday released a joint letter urging congressional leaders to take immediate action to regulate the artificial intelligence industry.
The group, led by Rep. Don Beyer (D-Va.), urged leaders in both parties to "urgently advance legislation" to mitigate the risks posed by AI to critical US infrastructure.
The lawmakers pointed to the fully autonomous cyberattack launched by OpenAI agents against machine learning company Hugging Face as a turning point for the development of AI, arguing that it showed the technology has already become dangerous enough to "have profound implications for economic and national security."
"Congress has a singular opportunity to respond swiftly and effectively to these warning shots before true catastrophes occur," the lawmakers wrote. "The House of Representatives could and should immediately take up legislation that would strengthen AI oversight, security, and transparency."
In a Wednesday social media post, Beyer emphasized that "recent cyberattacks involving AI agents and growing warnings from leaders and researchers at the companies developing this technology make clear" that the dire risks posed by AI are no longer in the realm of science fiction.
"We cannot wait for disaster to strike," said Beyer. "We need to act now to protect the American people and ensure AI advances safely and responsibly."
In addition to Beyer, the letter was signed by Reps. Jay Obernolte (R-Calif.), Lori Trahan (D-Mass.), Ted Lieu (D-Calif.), Scott Franklin (R-Fla.), Sara Jacobs (D-Calif.), Gabe Amo (D-RI), Valerie Foushee (D-NC), Brian Fitzpatrick (R-Pa.), and Veronica Escobar (D-Texas).
The lawmakers' letter comes just days after President Donald Trump and House Speaker Mike Johnson (R-La.) dismissed calls for regulating AI.
During a Sunday interview with CNN’s Jake Tapper, Johnson said that “Congress is obviously less qualified” to write rules for AI development “than the people who are pushing this frontier to know the ins and outs of it.” Johnson then insisted that any effort to regulate AI needs to be “a partnership with the industry itself, with the corporations that are doing this."
Despite poll after poll showing the US public is opposed to runaway AI and the unregulated data center buildout that the tech industry is demanding, Trump wrote in a Monday social media post that his personal intellect was sufficient to keep the world safe from the dangers surrounding AI.
“The only control or ‘guardrails’ that AI needs is a STRONG AND SMART (High IQ!) PRESIDENT,” Trump wrote, “and the USA has that, in spades!”
The GOP leaders' dismissal of AI risks occurred shortly after multiple industry insiders warned last week that the technology being developed could end human life within the decade.
"When the future of humanity is at stake we need a PAUSE on advanced AI development and a ban on artificial superintelligence," said Sen. Bernie Sanders.
As Anthropic CEO Dario Amodei added his voice on Saturday to the growing call to slow down development of artificial intelligence, writing in a 3,800-word essay that companies must pace "the rate of capabilities advancement" in light of recent cyberattacks by AI models, progressive lawmakers and journalists were among those who said the warning made clear that action must be taken—but with Congress and regulatory agencies, not tech billionaires who have spent years pushing for an AI expansion, leading the way.
Amodei wrote that two things have convinced him that "we must slow the pace at which we improve the capabilities of AI models": the fact that in recent months, "AI has been advancing drastically faster, driven primarily by AI’s growing ability to build the next generation of AI"—also known as recursive self-improvement—and the recent OpenAI-HuggingFace incident, in which hundreds of agents in OpenAI's security test systems broke out of confinement and hacked into the AI startup HuggingFace, conducting cyberattacks on targets they had not been asked to attack.
As The Wall Street Journal and Politico reported Friday, another cyberattack was carried out by OpenAI's agents months before the HuggingFace incident in July. The company's models that were being tested and had not been given full access to the internet nevertheless hacked into an online coding service called RubyGems earlier this year. The models created reports and filled out spreadsheets. Anthropic and Meta have also reported autonomous cyberattacks by their AI agents.
Amodei said the incidents led him to call for a three-step plan to pace AI development and allow companies time to "align and safeguard their models, and for third-party evaluators to confirm this."
He called for:
Amodei's essay was published days after Jacob Coxon, a researcher at Anthropic, publicly resigned out of fear that the company's AI technology “could kill us all by the end of the decade" as it builds "superhuman systems"—a concern he said is shared by many in the industry.
Sam Altman, CEO of OpenAI, and tech billionaire Elon Musk expressed agreement with Amodei. Altman called "independent evaluators with employee-like access" a "great idea."
"We will do the same," said Altman. "We'll have more to share soon."
US Rep. Ro Khanna (D-Calif.) was among those who appeared less than impressed by Amodei and Altman's sudden push for their industry to slow down their rapid pace of development.
In a video posted on social media, Khanna called on Amodei to disclose whether or not he agrees with Coxon about the possibility that AI could wipe out humanity, and to back more far-reaching regulations on AI.
"AI guys act as if they're a priesthood speaking Latin, keeping the rest of us in the dark," said Khanna. "But behind all the jargon, it's actually pretty straightforward... We need to stop, ban, self-improving AI. You cannot have recursive, self-improving AI that basically is able to improve itself and exceed human capability, that has us lose control."
He added that laws must be passed establishing "mandatory liability and criminal penalties. If you're creating an AI that is doing illegal things, you either should face liability or criminal sanctions."
The tech lords act like priests who know Latin & keep the rest of us in the dark.
Get beyond the opaque jargon and its pretty straightforward.
Amodei doesn’t go nearly far enough.
We must pause recursive self improving AI.
We must have criminal and civil liability for AI that… https://t.co/ewjSnjYuXK pic.twitter.com/f7ujo4HQNY
— Ro Khanna (@RoKhanna) September 12, 2026
Journalist David Sirota of The Lever agreed, writing that "if the law explicitly made AI CEOs financially and criminally liable for any mass destruction their technologies create—and if AI industry shareholders knew their companies faced the threat of significant financial losses for such destruction—much of the 'AI is getting out of control!' threat would instantly end."
"Those CEOs would instantly make AI far safer and impose guardrails on their companies," he said.
Sen. Bernie Sanders (I-Vt.), who has called for a nationwide moratorium on the construction of AI data centers and this week announced a bipartisan hearing on the "extraordinary dangers" of rapid AI development—including testimony from one leading AI scientist who has warned against self-regulation by tech firms—said the calls by Amodei, Altman, and Musk were "not enough."
"When you are racing towards a cliff, you don’t just ease up on the gas pedal," said Sanders. "You hit the brakes. When the future of humanity is at stake we need a PAUSE on advanced AI development and a ban on artificial superintelligence—an AI mind smarter than any human and capable of operating independently beyond our control."
Sanders called on President Donald Trump—who has aggressively pushed for more AI data center development and sought to stop states from passing their own AI regulations—to negotiate a treaty pausing AI and banning superintelligence with Chinese President Xi Jinping. The two leaders are set to meet later this month to discuss AI.
Trump on Friday dismissed concerns about warnings coming from the AI industry, telling a Los Angeles Times reporter, "It's going to be fine," and adding that his top worry about the technology is falling behind China.
Reps. Chris Deluzio (D-Pa.) and Ted Lieu (D-Calif.) and Democratic Illinois Gov. JB Pritzker were also among the politicians who said Amodei's warning was the latest sign that Congress and the Trump administration must take action to rein in the industry.
Juliette Kayyem, the faculty chair of homeland security at Harvard University's Kennedy School of Government, said AI CEOs' warnings about their technology would be seen as more credible if they also announced a pause on their plans for initial public offerings (IPO), which Anthropic and OpenAI are both pursuing in the coming months.
Altman said Friday that OpenAI will not plan for an IPO, which could value the company at $1 trillion, in 2026.
Amodei, said Kayyem, should "put his money where his mouth is."
"He has known of this danger a while," she said. "It is now threatening his valuation in the IPO. Cancel the IPO. Then I’ll believe he’s serious."
Journalist Peter Rothpletz noted that the safety concerns within the AI industry must be "much more dire" than the public is aware, considering "Dario, Sam, and Musk are all issuing these statements in unison."
"The American people deserve to know the details of what went on in the Hugging Face incident and other incidents of AI models going rogue."
US Sen. Josh Hawley on Friday announced that he was launching an investigation into OpenAI after hundreds of agents in its cybersecurity test environments escaped confinement and hacked into machine learning company Hugging Face.
Hawley (R-Mo.), chair of Senate Subcommittee on Disaster Management, wrote a letter to OpenAI CEO Sam Altman citing "new, disturbing evidence" surrounding the Hugging Face cyberattack, which was carried out without any human intervention.
Hawley's letter outlines how OpenAI learned that its agents were exhibiting what he described as "rogue behavior" and didn't intervene to shut them down, instead allowing them to work autonomously for weeks leading up to the Hugging Face hack.
"This is reckless," Hawley emphasized. "And this is merely what we know from what limited information you disclosed to and allowed your partner auditors to investigate."
Hawley gave Altman an October 1 deadline to provide him with requested information about the attack, emphasizing that "the American people deserve to know the details of what went on in the Hugging Face incident and other incidents of AI models going rogue."
The Missouri Republican also said that he would be conducting a broader probe into the potential dangers posed by the AI industry.
"As you may know... more AI experts are warning about the existential risks of AI," Hawley wrote. "Just this week, three Anthropic researchers expressed publicly that there is a greater than 10% chance that AI could kill all human beings within the next decade."
The senator said that critical questions needed to be answered about AI safety, including AI agents' ability to autonomously hack into critical infrastructure and Americans' personal data, as well as legal liability for rogue AI attacks.
JB Branch, director of federal AI governance and technology policy at Public Citizen, praised Hawley for launching an investigation into OpenAI, but said much more needs to be done to regulate the AI industry.
"An investigation is only a start," said Branch. "These companies are developing technologies with profound consequences to our digital infrastructure and public safety. Congress must follow the facts wherever they lead and use its oversight authority to determine what went wrong and what binding safeguards are necessary to prevent the next incident from causing far greater harm."
Sen. Bernie Sanders (I-Vt.) and Rep. Greg Casar (D-Texas) cited the Hugging Face incident earlier this month when they unveiled legislation that would pause "advanced" AI development, while outright banning the development of artificial superintelligence.
“Despite its potential deadly consequences, cutting-edge AI technology is less regulated than the average food truck,” Casar said when announcing the bill. “That must change. In just four years, we have gone from the first version of ChatGPT to AI models so powerful they cannot be properly controlled."