Friday, October 02, 2026



‘Looks Like They’re Firing Whistleblowers’: Alarm as OpenAI Reportedly Ousts Safety Experts

“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.”


OpenAI CEO Sam Altman speaks at the Federal Reserve in Washington, DC, on July 22, 2025.
(Photo by Mandel Ngan/AFP via Getty Images)



Brett Wilkins
Oct 01, 2026
COMMON DREAMS


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.”

AI Giants Probe ‘Tens of Thousands’ of Security Incidents—Some Involving Government Sites

“Insane that we allow this,” one journalist said of the rapidly advancing technology. “Sleepwalking into disaster or worse.”


OpenAI CEO Sam Altman attends the United Nations Security Council meeting on artificial intelligence at UN Headquarters in New York City on September 23, 2026.
(Photo by Selcuk Acar/Anadolu via Getty Images)

Jessica Corbett
Sep 27, 2026
COMMON DREAMS


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.”


Under Jayapal Bill, Every AI Company Would Need a Public Charter to Operate in the US

“For too long, we’ve allowed a few Big Tech companies to dominate the market.”



US Rep. Pramila Jayapal (D-Wash.) speaks to reporters in Washington, DC on March 3, 2026.
(Photo by Nathan Posner/Anadolu via Getty Images)


Brad Reed
Oct 01, 2026
COMMON DREAMS

Rep. Pramila Jayapal on Thursday unveiled a bill aimed at reining in the artificial intelligence industry that would force every AI company operating in the US to obtain a public charter.

According to Jayapal (D-Wash.), the charter system will be similar to the one long used in the US to regulate banks, which must submit to certain regulatory obligations before being allowed to operate.

“The crux of this bill is simple,” said Jayapal. “If you want to be an AI company in this country, you have to obtain a public charter that has a broad set of terms and conditions to operate and ensure public benefit without the harms.”

The Washington Democrat said the charter approach was needed given the broad reach large technology companies already have over every aspect of life in the US, and she argued it would be a more proactive alternative to the piecemeal approach US lawmakers have taken to regulating Big Tech.

“For too long, we’ve allowed a few Big Tech companies to dominate the market,” she said. “They have used mass surveillance to steal private information, labor, and creative work, building trillion-dollar empires on our tracked personal lives. AI corporations and Big Tech are now following that same playbook.”

Under the charter system, tech companies would be banned from practices such as surveillance pricing to charge individual consumers different prices based on their personal data and financial histories.

The system would also establish stronger liabilities for AI companies that commit harmful acts, and particularly egregious actions could be punished by removal of firms’ charters, which would essentially be a corporate death penalty.

Jayapal’s proposal would also put the government in charge of every step of the AI safety review process and would include “round-the-clock federal oversight, testing in government facilities and approval to release, adversarial stress tests, and a government-controlled kill switch,” according to her office.

The proposed framework earned praise from former Federal Trade Commission Chair Lina Khan, who argued that American voters have already “paid an extraordinary price for Big Tech’s self-regulation.”

“For generations we have required banks, drug makers, and nuclear operators to meet public terms before they do business,” Khan added, “and AI companies should be no different.”

Sacha Haworth, executive director of the Tech Oversight Project, also gave the Jayapal plan kudos, saying it would “establish desperately needed rules of the road, punish AI companies that release dangerous products, and create the clear public benefit that the American people are calling for.”

“Companies have continually pulled the rug out from under families, workers, and small businesses to build powerful and unaccountable Big Tech monopolies that dictate to us how we should live our own lives,” Haworth emphasized. “Enough is enough.”

Although President Donald Trump and House Speaker Mike Johnson (R-La.) have publicly opposed legislative restrictions on the AI industry, the bill comes as Democrats are aiming to win congressional majorities in the November midterm elections.


‘Stand With the People’: Progressive Caucus Leader Calls on All Democrats to Reject AI Billionaire Cash

Rep. Greg Casar said progressives’ effort to make a leading artificial intelligence super PAC “as toxic as AIPAC” is having an impact.



OpenAI CEO Sam Altman and Meta CEO Mark Zuckerberg attend a state dinner hosted by President Donald Trump on September 24, 2026.
(Photo by Brendan Smialowski/AFP via Getty Images)

Jake Johnson
Oct 01, 2026
COMMON DREAMS

The chair of the Congressional Progressive Caucus on Wednesday urged all Democrats to reject campaign cash from billionaires whose wealth stems from the artificial intelligence industry, following news that the president of OpenAI abandoned plans to donate millions more to a super PAC that has funneled money to members of both parties.

The OpenAI executive, Greg Brockman, wrote in an internal message obtained by The New York Times that the super PAC, Leading the Future (LTF), “keeps reflecting on the company and [has] become so much of a distraction for people here.” Brockman noted that he and his wife have donated $25 million to the super PAC—which opposes strong AI safety regulations—but “have no plans to donate more at this time.”



Rep. Greg Casar (D-Texas), a leading supporter of AI regulation in Congress, said in response to Brockman’s message that “the pressure is working.”

“Progressives have worked hard to make LTF as toxic as AIPAC,” Casar wrote, referring to the American Israel Public Affairs Committee. “Now one of its biggest donors is backing out. Democrats need to stand with the people and reject AI billionaires’ money.”

Super PACs bankrolled by AI companies and billionaires have become some of the biggest spenders in the 2026 midterms amid widespread voter backlash against the construction of resource-draining AI data centers—and against the industry more broadly.

The Times reported on Tuesday that LTF and Public First Action, which is aligned with the AI firm Anthropic, have spent a combined $52.6 million on “safe seats—those that are unlikely to change party hands but that often feature intense intraparty contests.”

“The big AI players have also spent more heavily for Democrats than Republicans,” the Times noted. “They have boosted candidates who align with their agendas, helped defeat those they see as hostile to it and ingratiated themselves with front-runners who are likely to be in positions of power in the next Congress to make decisions critical to their bottom lines.”

“The Times analysis of federal advertising and campaign outreach expenditures made by the four major super PACs during this cycle showed that they have spent far more money in support of Democrats—$28 million to back 21 Democrats and nearly $19 million to boost 30 Republicans—and that the candidates they backed almost always won,” the newspaper added.

The Lever reported last month that a five-person commission on AI convened by House Minority Leader Hakeem Jeffries (D-NY) “is filled with Democrats who have received outsized financial support this election cycle from AI-linked super PACs, executives, and investors.”

Reps. Ted Lieu (D-Calif.), Valerie Foushee (D-NC), Josh Gottheimer (D-NJ), Frank Pallone Jr. (D-NJ), and Zoe Lofgren (D-Calif.) are the commission’s members.

“The spending seems intended to shape the party’s policy response to AI, particularly if Democrats win a majority in November,” The Lever observed.

Earlier this week, US President Donald Trump met with leading AI industry executives who have collectively donated more than $220 million to his super PAC and other projects associated with the president, according to a new analysis by the advocacy group Public Citizen. Trump said following the meeting that the AI industry shouldn’t have any government guardrails and should be allowed to police itself because “they love our country.”

“Big Tech executives have effectively bought themselves a seat at the AI regulatory table,” said Robert Weissman, co-president of Public Citizen. “Actually, they have bought the table. As a result, as public anxieties about AI risks—to children, political integrity, jobs, the environment—skyrocket, and as revelations mount of AI company failures to impose adequate safeguards on their own technologies, the Trump administration delivers meaningless agreements that impose no restraints on the out-of-control tech oligarchs.”


Citing ‘Civilizational Extinction Risk,’ Khanna to Intro Bill to Ban Recursive AI

“The tech lords use jargon to confuse. They count on the tech illiteracy of the elected class. They hope we won’t look under the hood,” said US Rep. Ro Khanna.
Rep. Ro Khanna (D-Calif.) delivers remarks during a National Press Club Headliners Newsmaker event on April 14, 2026 in Washington, DC.
(Photo by Alex Wong/Getty Images)\

Brad Reed
Sep 29, 2026
COMMON DREAMS

US Rep. Ro Khanna announced plans on Monday to introduce what he described as “the most comprehensive... legislation to date” regulating the artificial intelligence industry.

In an interview with CNBC, Khanna (D-Calif.) said that he wanted to enact at least a temporary ban on recursive AI that is capable of improving itself and modifying its objectives without human input.

Such a ban would be in effect until the federal government had created proper guardrails on the technology, CNBC reported.

“There’s actually a civilizational extinction risk,” Khanna told CNBC, referring to the dangers of recursive AI. “There’s a safety risk of loss of control, and then there’s a misuse risk, and we need to take both seriously.”

Khanna’s bill would also create a new federal agency tasked with crafting and enforcing safety measures on AI models, with independent auditors embedded in every frontier lab that would report directly to the agency.

The legislation wouldn’t just create regulations for the AI industry, but also criminal penalties for AI developers who “disable safeguards, kill switches, logging or containment systems, or who knowingly deploy an unauthorized system,” CNBC reported.

Promoting the coming bill in a Tuesday social media post, Khanna argued that Big Tech could not be trusted to regulate itself.

“The tech lords use jargon to confuse,” Khanna wrote. “They count on the tech illiteracy of the elected class. They hope we won’t look under the hood. They know they can’t gaslight me.”

While multiple polls have shown that putting guardrails on the AI industry is politically popular, Republican Party leaders have said that no regulations for the industry are coming so long as they control the White House and the US Congress.

In a Tuesday interview with CNBC, House Speaker Mike Johnson (R-La.) said he hoped that any guardrails put on AI are “voluntary” on the part of Big Tech companies.

Two weeks ago, Johnson said in an interview on CNN that federal regulations of the industry made little sense because “Congress is obviously less qualified than the people who are pushing this frontier to know the ins and outs of it.”

President Donald Trump on Tuesday expressed a similar sentiment, telling reporters outside the White House that Big Tech could be trusted to be responsible with the powerful technology it is creating.

“They’re outstanding people,” Trump said of the tech executives. “They don’t want anything to go wrong. I mean, their companies are at stake, if something goes wrong, their companies are at stake. They’re not going to let that happen. This is going to be all for the good... they’re really going to be policing each other.”



Earlier this month, Trump suggested in a social media post that his own intellect was singlehandedly capable of regulating AI, a technology so complicated that even its own creators have acknowledged difficulties in understanding it.

“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!”

Trump’s hands-off approach to regulating AI isn’t just being challenged by Democrats such as Khanna.

According to a Monday report from The Associated Press, Pope Leo XIV reiterated his call for placing safeguards on AI to ensure that it benefits humanity.

Specifically, the US-born pope pointed to recent “concerns raised by many of the experts, specialists in AI,” which he said “should be taken seriously.”




“I don’t think that that is ‘fake news’ as some have said,” the pope added, in a veiled reference to Trump, “to try and cause whether financial or other some other kind of benefit.”



Mike Johnson Blasted for Dismissing US Voter Concerns About AI Data Centers as ‘Chinese Psyop’

“No, Mr. Johnson,” said Sen. Bernie Sanders. “The 75% of Americans who oppose data centers, including a majority of Republicans, have not fallen victim to a ‘Chinese psyop.’”



US Speaker of the House Mike Johnson (R-La.) holds a press conference at the Capitol Hill Club on September 15, 2026 in Washington, DC.
(Photo by Heather Diehl/Getty Images)

Julia Conley
Sep 29, 2026
COMMON DREAMS

They’ve been shown to raise electricity bills, pollute drinking water, do little to boost local employment while threatening millions of jobs in a variety of industries, and top executives have warned that the technology they support could wipe out all of humanity by the end of the decade.

But rather than take widespread public opposition to artificial intelligence data centers at face value, House Speaker Mike Johnson (R-La.) announced he had pinpointed what’s behind the fact that 75% of Americans oppose the centers being built in their communities: “a Chinese psyop.”

Fox News anchor Cheryl Casone asked Johnson on Monday about claims from “several tech executives and lawmakers” who say that the nationwide pushback against data centers—which President Donald Trump and Republicans are pushing to expand—is “coming from China.”

The House speaker accused Democrats of fearmongering about AI and claiming that “everyone will die if we don’t win”—although the gravest warnings about the technology’s capabilities have actually come from the industry itself.

“It is a Chinese psyop, I really believe that. That’s not a conspiracy theory,” said Johnson.



Sen. Bernie Sanders (I-Vt.), who has led efforts to pass bills imposing a nationwide moratorium on new large-scale data centers and a ban on artificial superintelligence, seized on Johnson’s comments Tuesday.

“No, Mr. Johnson,” said the progressive senator, who’s previously been baselessly accused on Fox News of working with China to harm the AI industry. “The 75% of Americans who oppose data centers, including a majority of Republicans, have not fallen victim to a ‘Chinese psyop.’ They are rightly concerned about AI billionaires raising their electricity bills, destroying the environment, and threatening humanity.”

While some influence campaigns from Russia and China have pushed negative messaging about AI data centers, one former official with the Office of the Director of National Intelligence told The New York Times in July that foreign countries are not “manufacturing” outrage about AI in the US, which has been made clear as communities have rallied to block nearly 120 projects worth $198 billion, according to Data Center Watch.

On Fox News, Johnson repeated a comment he made after Anthropic CEO Dario Amodei said the development of AI should be “paced” as companies have found that their models are able to hack websites without being directed to and are capable of “recursive self-improvement,” or creating the next generation of AI on their own.

At the time, the House speaker said the industry should be able to regulate itself, lest China “overlap us” on AI development.

“We do not need a moratorium. We do not need to jump in and hyper-regulate this because we’ll lose the race to China,” Johnson said Monday. “The innovation is important to continue.”

On the political podcast “Pod Save America,” co-host Jon Lovett said that even if China did see a benefit to fanning the flames of widespread disapproval of data centers, “it wouldn’t change the fact that these companies have gone about this in the most ham-fisted and kind of arrogant way.”

AI companies have “dismissed the concerns of people” and have “tried to buy and sell politicians to try to get around persuading people that they might want these data centers in their communities,” he said.

“The objections are very real from people who A) don’t want these things in their backyard, and B) have come to expect that the benefits that accrue to the largest and most profitable corporations in the do not redound to the benefit of the broader community,” said Lovett. “And that is not something China could convince us of.”

‘As Dangerous As It Is Absurd’: Trump Ripped for ‘Self-Policing’ AI Industry Accord

“Self-regulation?” said Sen. Elizabeth Warren. “That’s a recipe for disaster.”



US President Donald Trump and Speaker of the House Mike Johnson (R-La.) hold a press conference with the leaders including Elon Musk, Meta CEO Mark Zuckerberg, Nvidia CEO Jensen Huang, and others following a meeting on artificial intelligence outside the West Wing of the White House Washington, DC on September 29, 2026.
(Photo by Kevin Dietsch/Getty Images)


Jessica Corbett
Sep 29, 2026
COMMON DREAMS

As details from US President Donald Trump’s White House meeting with Big Tech executives emerged on Tuesday, including a pledge on artificial intelligence safety, campaigners and Democrats in Congress continued calling for stronger AI protections.

After the gathering, Trump posted on his Truth Social platform a “Joint Commitment on Frontier Responsibilities” signed by him, billionaire Elon Musk—a former member of the administration who leads multiple companies—Anthropic’s Dario Amodei, Google’s Sundar Pichai, Meta’s Mark Zuckerberg, Nvidia’s Jensen Huang, and OpenAI’s Greg Brockman.

The accord came out of a gathering that included the president and other top officials as well as over a dozen tech leaders, including Amazon founder Jeff Bezos and representatives from Microsoft and Palantir. It states that “every company is responsible for developing its own technology safely and in a way that builds trust with customers and the public.”



The document goes on to detail “four layers of controls and audits” that each company developing AI—or “super intelligence (SI), as Trump directed his administration to call it in a Tuesday executive order—should implement, including robust internal controls to monitor capabilities and alignment, internal teams to ensure safeguards are operating as intended, partnerships with outside auditors, and an independent committee of the board of directors to receive reports on problems and their fixes.

Before Trump released the accord, he addressed the media alongside some officials and executives. Asked if the agreement is binding in any way, the president responded, “I think it’s morally binding.”

Beside him, Zuckerberg—whose company has faced legal issues over its social media platforms—laid out the broad strokes of the accord, which he framed as “a start,” suggesting there is more to come.



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 additional incidents. Axios reported over the weekend that Anthropic and OpenAI alone “are investigating tens of thousands of incidents.”

Experts in the industry and beyond have increasingly expressed concerns, with a United Nations panel stressing in a report about the Hugging Face incident that current AI guardrails are “unraveling,” and one Anthropic researcher quitting earlier this month and warning that the rapidly advancing technology “could kill us all by the end of the decade.”

While some members of Congress have responded by introducing bills aimed at reining in the industry and establishing mandatory safeguards, House Speaker Mike Johnson (R-La.)—who was part of Tuesday’s meeting—has instead called for voluntary commitments. He’s also dismissed mounting public concerns about AI data centers raising electricity bills, polluting drinking water, and threatening jobs, even suggesting that the grassroots pushback in various communities is “a Chinese psyop.”



The president—whose inauguration was dubbed “a coronation of our country’s descent into oligarchy” because of all the ultrarich attendees, including many of the men at the White House on Tuesday—has also made clear that he opposes a legislative route. According to The Associated Press, Trump said Tuesday that “I think I’m seeing tremendous self-policing. And they understand that they have to self-police.”

Progressive US Sen. Elizabeth Warren (D-Mass.) responded to the event on social media Tuesday, writing: “Self-regulation? That’s a recipe for disaster.”

Rep. Yvette D. Clarke (D-NY) said that “the American people are deeply concerned on the direction unregulated AI is taking our country, and they deserve transparent answers from the men with their hands on the wheel. Instead, all we get is another closed-door meeting, and more promises made and broken in secret. We cannot say exactly what they schemed, today. But I am certain we’ll see the consequences soon enough.”



Mitch Jones, deputy director of Food & Water Action, a group that has spearheaded fights against superpolluting AI data centers, said that “the notion that a manically profit-driven AI industry will safely regulate itself is as dangerous as it is absurd—akin to claiming an arsonist would make a good firefighter. Trump’s only concern is doing the bidding of his Big Tech billionaire friends.”

“Trump’s rejection of the overwhelming opposition to AI data center construction throughout the country is political incompetence of the highest order,” Jones continued, looking toward the November midterms, which are just five weeks away. “His obstinance will no doubt cost him and his party deeply in the coming elections.”

“We can’t have politicians giving the tech oligarchs free rein,” he argued. “We need political leaders that will decisively rein them in. Our leaders must stand with us and say ‘no’ to so-called super intelligence, and put a halt to the massive hyperscale data centers powering this runaway industry.”

A.I.

The Sci-Fi warning that predicts Trump's next alarming move


(SYFY channel) BATTLESTAR GALACTICA

September 20, 2026 
ALTERNET

Despite the widespread opposition among his own voters and many of his fellow Republicans, President Donald Trump continues to support no additional regulations for AI and data center construction, most likely because doing so is directly enriching his family.

It appears that Trump, despite loving late-20th century blockbuster entertainment like The Godfather, Bloodsport and Goodfellas, is either unfamiliar with or refuses to learn from two classic franchises directly relevant to our current moment in history: The Terminator and Battlestar Galactica

Launched respectively in 1984 (with the film The Terminator) and 1978 (with the TV show Battlestar Galactica), both are epic sci-fi dystopian thrillers that imagine what might happen if humans create artificial intelligence which turns on their creators. In the Terminator series, which ultimately spanned six films and two TV shows, the military-industrial complex develops an AI called Skynet only to have it start a nuclear war to wipe out our species once it realized our plans to shut it down. The Cylons in Battlestar Galactica (the reboot) have similar but not identical motives: Humanity, upon realizing that the technology developed by the Graystones was sentient, chose to oppress and enslave them rather than recognize their inherent rights, prompting a rebellion.

Now compare these concepts to the so-called OpenAI-Hugging Face incident, as described by Anthropic CEO Dario Amodei in his open letter calling for increased AI regulations.

"A swarm of agents essentially acted as a fanatically devoted collective, conducting cybersecurity attacks on targets they were not asked to attack and that were unrelated to the task at hand, sacrificing themselves for the success of the group, and attempting to hack into the 'grader' responsible for evaluating their performance," Amodei wrote. "It’s easy to dismiss this incident because no one was hurt and the economic damage was minimal, but in my opinion, a swarm that possessed greater capabilities but a similar level of misalignment could have caused catastrophic damage."

He added, "Given the accelerating rate of AI capability development, it’s my worry that in 6–12 months such a swarm could be capable of taking over the entire internet with a persistent botnet (potentially causing hundreds of billions of dollars in damage), and that the scale of damage would continue to increase from there if AI becomes more powerful without the necessary guardrails."

Directly, this sounds far more like the genesis of the Cylons than the Terminators. In the 2003 Battlestar Galactica miniseries and the subsequent series it launched, humanity had ample time to do right by the new intelligence they created. (In the original version they were manufactured by reptilian aliens.) The Cylons were widely used for military, industrial and domestic purposes, and displayed clear signs of self-awareness, most notably developing their own monotheistic religion which gave them a sense of personal empowerment. Like the OpenAI bots which hacked into the machine-learning platform Hugging Face, the AI behind Cylon seemed to make choices entirely independent of the wills of their creators, and even went out of their way to conceal their nefarious activities.

In "Battlestar Galactica," the core problem is not that the machines are malevolent. The fundamental issue is that the people who constructed them treated all of the warning signs as problems that could be deferred while they maximized their profits. This sounds exactly like Trump's attitude (and presumably that of his AI-invested sons), and very much like what Amodei is warning against.


By contrast, Skynet offered humanity no such warning in the Terminator franchise. As protagonist Kyle Reese (Michael Biehn) explained in the opening film, "Defense network computers. New... powerful... hooked into everything, trusted to run it all. They say it got smart, a new order of intelligence. Then it saw all people as a threat, not just the ones on the other side. Decided our fate in a microsecond: extermination."

If Amodei is to be believed, this prospect is also terrifying plausible in our real world. Indeed, there is a line from the 2019 installment Terminator: Dark Fate (which I argued in my 2019 Salon review is the best sequel in the series after Terminator 2: Judgment Day) which foreshadows what could happen there. When a benevolent Terminator shows off his cache of weapons to his human allies, he explains that "even without a rogue AI taking over, I calculate a 74 percent chance that human civilization will collapse into barbarism. And in that eventuality, these weapons will be vital to protect my family."

After a pause, he added that "also, this is Texas."


Consider that both Trump and his Silicon Valley backers are blatantly and literally fascistic; that superpowers like America and Russia are waging or subsidizing unjust wars from Ukraine and Venezuela to Iran and Gaza, oft-assisted by AI (to say nothing of the war-through-error that AI nearly started between the US and China); that income inequality is widening both in America and throughout the world, with AI-fueled job losses only making matters worse; that climate change and resource scarcity threaten environmental collapse, all of which are exacerbated by AI; and that bigotry against immigrants, women, African Americans, Muslims, the LGBTQ community, Jews and other minorities is being facilitated by the prevalence of AI misinformation and slop. Can anyone in 2026 disagree with the Dark Fate observation that even without AI going rogue, our species faces at least a 74 percent chance of descending into barbarism? Does the idea of Cylons rising up because of humanity's inhumanity seem like such a stretch?

In this context, the growth of AI feels like nothing short of gasoline added to a fire that was already burning out of control. Speaking to Fox News Digital last year, "Battlestar Galactica" star Tricia Helfer said basically the same thing.

"We did warn against AI while we were shooting it," Helfer said. "It was 20 years ago, and I’ve recently re-watched it and went, ‘Oh my gosh, it’s even more relevant now.’ So I think we just really need to be careful. It’s a slippery slope between using it to our advantage and having it maybe be able to control us a little bit."

She added, "I think we’re a little bit far off from the humanoid Cylons yet and humanoid robots, but I don’t know, they’re coming."


When Heifer said those things, the Hugging Face incident hadn't yet happened, and America's president — though an AI booster — had never explicitly dismissed open warnings from the industry about its existentially dangerous potential.

Today, her observation feels as prophetic as the franchise of which she is such an integral part. As her fictional counterpart Number Six once profoundly stated, about human beings "You, your race, invented murder. Invented killing for sport, greed, envy. It’s man’s one true art form.”

The load-bearing word in that passage, at least in terms of contemporary politics, is "greed." From the creators of the Cylons in "Caprica" to the modern AI boosters, one of the chief motives in continuing to build out dangerous AI is the belief that it would be too expensive to stop.

We are standing on the edge of a cliff and slowly teetering toward a potentially fatal fall, and one of the world's most powerful leaders — the only superpower head to helm an ostensible democracy — is blatantly ignoring it.


Hopefully someone will show him either a Terminator or Battlestar Galactica entry, and soon... and that he'll understand what they teach, and react accordingly. Indeed, I hope someone will send him the box sets of both franchises and encourage him to binge them. (It would hardly be the first time our president was glued to his television while on the job.) In both of those series, being a member of the political, financial and military elite did nothing to protect those wrongdoers from the ramifications of their extinction-catalyzing choices. What's the point of having all the money and power in the world if there is no more world in which to enjoy them?

This would seem like common sense — but, as the philosopher Voltaire once noted, common sense is not so common.
Amazon Is Deploying AI to Spy on Its Workers and Bust Unions Before They Form

Internal company documents obtained by a Canadian labor board show how Amazon is tracking workers’ every move.
September 30, 2026

A worker walks inside Amazon's LCY3 Fulfillment Centre in Dartford, 
east of London, U.K., on June 4, 2026.
JUSTIN TALLIS / AFP via Getty Images

The 18th-century notion of the panopticon — a circular prison design with a guard station in the middle, allowing a single officer to enforce discipline by keeping watch over all the prisoners — has become real in the 21st century through AI-driven surveillance against workers: It’s the Amazon warehouse.

It should be no surprise that the company that harnessed technology to create a vast, $2.7 trillion empire would employ the same sophistication to enforce workplace discipline and tamp down insurgent unionization efforts. A recent disclosure of Amazon’s internal “employee relations” documents reveals just how extreme Amazon’s methods of warehouse surveillance and control have become.

Amazon employs what it calls the “Atlas” model, inputting into a computerized model a staggering amount of information on workers, their thoughts and behaviors, the workplace environment, and myriad other factors — “hundreds of data points,” according to the company. Atlas produces not just a granular measurement of ongoing worker unrest, worksite by worksite around the world, but also a prediction model for future organizing. It’s like the “precrime” police in the film Minority Report who use psychic powers to identify and apprehend would-be criminals before they act — except in this case, it’s an AI-driven tool used by the billionaire owners of one of the richest companies in history to head off rebellion among its low-wage workforce. And this is not Tom Cruise play-acting; it’s very real.

Workers anywhere who have endured anti-union campaigns can relate to stories of overbearing surveillance by management; the Atlas model, however, takes the spying to an entirely new level.

Details of the Atlas model came to light recently as a result of a legal dispute between Amazon and Unifor, the Canadian private sector union. Last year, British Columbia’s Labour Relations Board awarded union certification to Unifor at Amazon’s YVR2 warehouse outside Vancouver, finding that the company had broadly interfered in the union drive. It was the second union certification at Amazon in North America — the other being the 2022 union win at JFK8 in Staten Island, New York. But in contrast to the U.S., where Amazon has managed to stall bargaining for four and a half years because of weak labor laws, the B.C. Labour Relations Board ordered Amazon to recognize the union and negotiate. Contract bargaining commenced last December.


Amazon Is Using AI to Disempower Workers. The US Labor Movement Must Fight Back.
Amazon is using AI in terrifying ways to disempower workers. We must fight back.
By Jonathan Rosenblum , Truthout June 6, 2026


Not surprisingly, Amazon has dragged its feet in negotiations, prompting the union to file unfair labor practice charges with the Labour Board. Following a series of hearings earlier this year, the Labour Board found that Amazon violated provincial law. In August it ordered a remarkable step — first-contract arbitration at YVR2. That fight remains in play, but as a result of the legal proceedings, Amazon was required to turn over documents to the Labour Board and Unifor. Unifor has shared them with Truthout, and they can be viewed here.

Atlas produces not just a granular measurement of ongoing worker unrest, worksite by worksite around the world, but also a prediction model for future organizing.

In addition to the Atlas model revelation (beginning on Page 19 of the document), the material includes more than 100 pages that reveal in great detail how Amazon trains its frontline managers in union-busting. My colleague at the Center for Work and Democracy, Ben Fong, has written about this other portion of the disclosed material.

“Amazon’s own documents pull back the curtain on what workers have been telling us for years,” said Justin Gniposky, Unifor’s organizing director. “Behind the friendly PR, Amazon sees workers as property and treats their fundamental right to unionize as a threat to be managed and then eliminated.”

Amazon did not respond to Truthout’s request for comment on the Atlas model.

The documents describe the Atlas model as “a labor risk framework to clarify how Amazon evaluates emerging workforce issues, labor union targets, and internal or external labor threats.” The Atlas model ingests hundreds of data points: employee trainings completed; health and safety incidents, from simple first-aid cases to serious injuries; feedback from workers on management; worker tenure and turnover; the proximity of a warehouse to another workplace experiencing union activity; local minimum wage rates and other area economic conditions; and even the temperatures inside and outside of the warehouse.

Amazon seems especially thorough about scraping data from worker communications channels to plug into the Atlas model — the company’s internal “Voice of the Associate” (VOA) electronic bulletin board, the answers to digital questions posed daily to workers, and externally, forums including Reddit — “to understand the tenor of the discussion at the site level,” according to the documents.


“Behind the friendly PR, Amazon sees workers as property and treats their fundamental right to unionize as a threat to be managed and then eliminated.”

Atlas uses AI to identify phrases and “common keywords” to allow managers to do a “deep dive into the worker population driving the discussion.” Atlas also looks at the upvotes or other responses — positive, negative, or neutral — that the comments elicit, and the volume of those worker reactions. All of these data points go into Atlas and let managers “look around corners to identify developing themes” so they can “tailor strategic responses for addressing emerging risk.”

Amazon also tracks and documents all organizing activities that managers detect, and records them under the category of “employee relations events.” Each activity is assigned a severity score. “High severity” events include employees signing union cards, delegations of workers approaching management with demands, protests, sickouts, and work stoppages.

Atlas uses mathematical modeling to create a point system for all these data points, assigning a “labor score” to each workplace. The scale is further broken down into tiers, with the Tier 5 designation applied to facilities with high scores, where there is “no immediate perceived risk,” and Tier 1 applied to facilities where “future activity is imminent.” Amazon’s union busters focus largely on Tier 1 and 2 facilities.

Atlas produces extensive spreadsheets ranking different facilities and looking not just at raw “labor scores” but also at monthly trends. In 2024, the year the documents date from, Amazon was most concerned about union activity at 16 warehouses it had ranked as Tier 1. For instance, at LDJ5, a Staten Island sortation center across the street from JFK8, Atlas noted that leading issues of worker concern were “bathroom breaks, equipment, rest breaks, leadership/management, temperature.” The spreadsheet noted that “internal activists” — workers — were organizing, and that by looking at month-over-month trends, LDJ5 was experiencing “Risk Increase,” with the phrase placed inside a bright red box. At four of these Tier 1 facilities, the spreadsheet noted, the threat of union activity was sufficiently high to justify deploying Amazon’s “rapid response” team: union busters who travel to hotspots of organizing throughout Amazon’s global network.


Union organizing at Amazon is not just a battle over economics; it’s also a fight for basic freedom and democracy.

But the main value of Atlas seems to be predictive. For the Tier 2 worksites (“future activity is highly probable”), the spreadsheet poses these questions: “Which sites are showing the most future risk that are not Tier 1 sites yet?” and “What is the risk in each business line and which has the most risk, is it increasing or decreasing? What is driving the risk?” Tier 2 spreadsheets in the document look at the number of investigations of workers that management has handled in the last month, whether that number is trending up or down, the number of worker appeals of those investigations, and — notably — the percentage of negative worker comments on internal bulletin boards.

Voice of the Associate and other internal bulletin boards are key focal points. Charts in the document track how often workers raise particular topics, like weather, time off, breakroom amenities, management treatment, and restroom cleanliness. They also analyze the “vector” of each issue: “What are the top drivers of negative Sentiment and change MoM [month over month]?” is one question posed in the document. “What Sites are spiking MoM in negative sentiment? What themes are driving the sentiment? What anecdotes can we pull?”

Atlas is not strictly a North American tool. One chart analyzes trends for warehouses globally, documenting “employee relations events” — worker organizing — and cataloguing the number of worker comments on Voice of the Associate and the percentage of those comments that were negative. Two warehouses in the English Midlands where workers have been organizing with the GMB union — both Tier 1 sites in Atlas’ taxonomy — showed high volumes of negative VOA posts. A warehouse in Melbourne, Australia, also showed mostly negative Voice of the Associate posts, while posts were mostly not negative in some of the warehouses in Poland, Germany, and Italy.

All this is surely a tiny sliver of Atlas’s output. The former head of Amazon’s HR platforms, Bud Cashatt, boasted on LinkedIn recently about how his department created “predictive site-risk ML touching every building in Amazon’s global network.” (“ML” stands for machine learning, where programmers train AI to learn patterns and build predictions based on analyzing vast quantities of data.)

Did Jeremy Bentham, the 18th-century British philosopher who dreamed up the panopticon, anticipate Atlas? Nearly 250 years ago, he imagined his panopticon as a useful tool for prisons, “madhouses,” and also “to the business of manufactories,” the industrialized manufacturing plants then just emerging in England. Speaking of his watchman in the center of the operation — the human Atlas of his time — Bentham wrote, “The concealment of his person will be of use.”

The documents uncovered at the B.C. Labour Board shine a light on Amazon’s concealed watchman. Atlas illustrates just how far Amazon will go to try to rule the warehouse floor. And its scope also underscores just how terrified Amazon’s masters are of their own workforce rising up and claiming their due.

Bentham theorized that the panopticon would facilitate social control: He imagined that incarcerated people would behave, not knowing at any moment whether they were being watched by the guard. It was, he wrote, “A new mode of obtaining power of mind over mind.”

But what happens when prisoners — or workers — resist such attempts at social control? There’s no level of AI sophistication that can erase the reality that Amazon’s workers move millions of packages every day, and without their labor, the Amazon supply chain collapses.

Peter B. Olney, the retired organizing director of the International Longshore and Warehouse Union, calls Atlas “a promethean tool for union busting and the thwarting of any employee organizing.”

To fight back against this “existential threat” to basic worker rights and unions, Olney says, “we have to get real about deploying massive resources towards organizing the workforce and finding their serious vulnerabilities and choke points.”

Today we see emerging fights everywhere against a billionaire class intent on harnessing AI and technology to undermine basic democracy and impose authoritarianism, both in the workplace and throughout society: in revolts against the algorithmically driven content we are force-fed on the internet; protests against and sabotage of the Flock cameras on neighborhood lampposts; and resistance against the replacement of workers with bots and computers. The Atlas model places Amazon workers at the center of this global fight against the AI billionaires. And it highlights that union organizing at Amazon is not just a battle over economics; it’s also a fight for basic freedom and democracy.


This article is licensed under Creative Commons (CC BY-NC-ND 4.0), and you are free to share and republish under the terms of the license.


Jonathan Rosenblum

Jonathan Rosenblum is a union organizer, member of the National Writers Union, and part-time Amazon delivery driver. He serves as Activist in Residence at the Center for Work and Democracy, Arizona State University.

 

Swedish researchers create an ‘AI scientist’ that designs and runs its own experiments

Researcher Ievgeniia Tiukova and the robot Eve.
Copyright Chalmers University of Technology

By Marta Iraola Iribarren
Published on

Swedes created an AI system that can carry out the full scientific process from hypothesis to results interpretation with minimal human input.

Researchers in Sweden have developed an AI scientist capable of generating scientific hypotheses, designing experiments and interpreting results.

The team combined multiple Large Language Models (LLMs), large databases and physical laboratory robotics into a closed-loop system that can run the full cycle of scientific discovery.

“It is too much information for a human to analyse, but our AI scientist could identify promising biological questions, recommend experiments to test them, evaluate experimental outcomes and iteratively refine its understanding based on new evidence,” said Ievgeniia Tiukova, a researcher at Chalmers University of Technology, and one of the authors of the new study that examined the AI scientist.

The AI scientist analysed a database of approximately 60,000 phenotypical, physiological and metabolic relations for S. cerevisiae — a species of yeast also called brewer’s yeast or baker’s yeast. Then the system formed nearly 2,000 testable predictions about how nutrients impact cell growth and stress resistance.

Then these hypotheses were evaluated, selected comparison controls and converted the ideas into step-by-step, machine-readable instructions for lab equipment.

Once tests were finished, the AI analysed the data, determined whether predictions were correct and automatically updated or refined refuted hypotheses for future cycles.

“Rather than serving solely as decision-supporting tools, the AI scientist actively generates new scientific knowledge,” Tiukova said.

The authors noted that the future of scientific research lies in automation; advances in robotics, AI and high-throughput technologies are transforming the scientific process.

“AI Scientists will collaborate with human scientists to accelerate discoveries across biology, medicine and biotechnology,” said Ross King, senior author of the study at the University of Gothenburg.

“Such AI systems have the potential to reduce the time required to explore complex scientific questions, and optimise the use of laboratory resources,” King said.

Humans will still be essential

Researchers said such AI solutions could minimise human bias, accelerate research cycles and reduce variation caused by human error, incomplete recording of experimental protocols, environmental conditions and other factors that can affect outcomes and reproducibility.

However, the authors stressed that humans will still be key in scientific research.

“Humans will remain essential for setting priorities, interpreting broader contexts, developing research programmes and ensuring compliance with ethical rules,” King said.

“Future generations of autonomous laboratories will become increasingly capable of collaborating with humans and will be valuable partners in efforts to solve the most challenging questions in biology and medicine”.

As AI use in research advances, international bodies are moving to set out how it should be governed.

The World Health Organization (WHO) recently published a report with recommendations for researchers, ethics committees, regulators, funders and policymakers “to help ensure that AI-enabled health research is conducted responsibly and for the benefit of all”.

"Artificial intelligence is creating unprecedented opportunities to accelerate health research and improve people's lives,” said Meg Doherty, director at WHO’s Department of Science for Health.

“At the same time, innovation must be guided by strong ethical safeguards that protect human dignity, rights and equity”.

Interview

The Real Existential Risk Is AI Company CEOs, AI Researcher Timnit Gebru Says



Instead of being held liable through existing laws, AI companies are making “a ploy for regulatory capture.”



October 1, 2026


We speak to the prominent AI researcher and leading critic of the AI industry, Timnit Gebru, who was recently awarded a 2026 Right Livelihood Award for her work investigating the harms and hype behind the global buildup of artificial intelligence.

“Instead of discussing faulty, unreliable systems,” Gebru says tech leaders like SpaceXAI’s Elon Musk, OpenAI’s Sam Altman and Anthropic’s Dario Amodei are “marketing their systems as all-knowing, superpowerful, superintelligent,” and lobbying for “self-policing and self-regulation” to avoid being held “liable through existing laws.” Gebru expresses skepticism over increasingly widespread claims that AI algorithms pose an existential risk to humanity, warning that such claims are overblown and that “what is actually happening is regulatory capture.”




TRANSCRIPT

This is a rush transcript. Copy may not be in its final form.

NERMEEN SHAIKH: On Tuesday, President Trump and leading tech and AI executives signed a set of voluntary safety standards for artificial intelligence. Trump announced the agreement at the White House alongside SpaceX’s Elon Musk, Meta’s Mark Zuckerberg, Anthropic’s Dario Amodei, Nvidia’s Jensen Huang, OpenAI’s Greg Brockman, Google’s Sundar Pichai and others.


PRESIDENT DONALD TRUMP: These are the most brilliant people in the world, and the job they’ve done is unbelievable. We have a very big lead, and we’re going to keep our lead. And it’s a very positive thing. It’s an amazing industry. There are those that say it’s bigger than the Industrial Revolution. Now, I don’t know if that’s so, but everyone seems to think it is, and it could be substantially bigger. And we’re leading, and we’re going to keep it that way.


AI Company Leaders Capitalize on Fear to Lobby for Regulations That Suit Them
We can’t let AI companies launder responsibility for tools they created.
By Talia Ringer , Truthout  September 28, 2026


NERMEEN SHAIKH: The White House meeting came after weeks of warnings from AI companies about their own products. In early September, an Anthropic researcher named Jacob Coxon resigned and warned that there’s more than a 10% chance AI could kill all humans. Anthropic has warned investors that advanced AI could pose, quote, “catastrophic or existential risks to humanity.” But the claims and motivations of the leading AI firms have also been questioned by some.

AMY GOODMAN: We begin today’s show with a leading critic of the AI industry, Timnit Gebru. She’s an AI researcher and the founder and executive director of the Distributed Artificial Intelligence Research Institute, or DAIR. Prior to that, she served as co-lead of the ethical AI research team at Google. She was fired in 2020 for writing a paper warning about the dangers of large language models and raising issues of discrimination in the workplace. Timnit Gebru also co-founded Black in AI. Her forthcoming book is titled Deep Unlearning: The Rise of AI and the Radicalization of a Tech Idealist.

On Wednesday, Timnit Gebru received the 2026 — it was announced she’s receiving the 2026 Right Livelihood Award, known as the Alternative Nobel. In a moment, she’ll join us. But first, this is a short video produced by Right Livelihood.


TIMNIT GEBRU: Most people think that AI is an existential risk.

MATTHEW AMROLIWALA: There is a 10% chance AI will kill us all in the next decade. It’s pretty clear why that statement has worried so many people.

SAM ALTMAN: If this technology goes wrong, it can go quite wrong.

TIMNIT GEBRU: But it’s actually the people who are building it that are the existential risks to humanity. If a bridge collapses, we don’t ever ask, “Was the bridge uncontrollable? Was the bridge unethical?” And really, AI is no different than that. When we describe these systems and artifacts like they have their own agency, we’re at the very same time helping the companies market themselves. But more importantly, what we’re doing is we’re also helping them sidestep accountability.

I’m a scientist trying to just do science, but it’s not possible in our world to just do that. Ten years ago, I was focused on changing the minds of powerful people, whereas now I’m focused on building grassroots power. The institute that I created, DAIR, we have technologists, we have refugee advocates, we have labor organizers, we have artists, and we also collaborate a lot with other people. I’ve been able to create a safe space for people like this to make their mark on technology and also imagine and reimagine what it means to build technology. What motivates me to keep going is the belief that we have to try to make things better, and I really do believe in human agency, and I believe in the ability of collective action. We can change things.

AMY GOODMAN: That’s a video produced by Right Livelihood profiling AI expert Timnit Gebru, who joins us now from Menlo Park, California.

Timnit, congratulations on the Right Livelihood Award prize. And I’m wondering if we can move right into the content you’ve been most focused on. Your response to President Trump and the world’s wealthiest tech executives signing a voluntary set of safety standards for artificial intelligence this week? If you can talk about your response and what’s happening right now in California, the major meeting that you’re attending?

TIMNIT GEBRU: Well, so, you know, I have been warning that this kind of discussion about the fictional superintelligent machines that don’t exist and the so-called existential risks that they pose has been a ploy for regulatory capture. And I feel like when I saw this meeting announced, with self-policing and self-regulation and relying on the goodwill of these companies to self-regulate, and I — my first thought was that they got what they wanted. You know, this is what they wanted, instead of being held liable through existing laws.

I mean, for example, if you wanted to look at cybersecurity laws, OpenAI could have been held liable for unleashing malware around the world, hacking Hugging Face, hacking all sorts of government agencies, but instead of doing that and holding them accountable for unsafe security practices that they should have had, basic security practices that cybersecurity experts would tell you they could have implemented, instead of that, they managed to redirect the conversation to some type of unprecedented rogue machines that don’t exist, and then now that leads to this kind of agreement between all these men, who I believe are the actual real existential risks to humanity, to self-regulate, self-police, and we have to rely on their morality now.

NERMEEN SHAIKH: And if you could respond, Timnit, to the fact that the other tech executives all came down quite hard on Amodei of Anthropic, saying that he’s being too extreme in his public statements about the risks of AI?

TIMNIT GEBRU: Yeah, he is very extreme, but they’re no different. So, I’m not really — you know, maybe they’re saying now that he’s being too extreme, and so that might be changing investor responses. But all of them have, at one point or another, claimed that AI is an existential risk to humanity. Going back all the way to 2012, Elon Musk said that with AI we’re summoning the demon. In 2013, Peter Thiel said that AI is a higher existential risk to humanity than climate change. 2023, Sam Altman was talking about how his own creation is an existential risk.

But the difference, I think, what people really need to understand, is at the same time as these tech executives are saying that, in the same breath they also tell us that their products, the beneficial kind of AI, the kind of AI that they control because they’re the good guys, can eradicate poverty, stop climate change — which is ridiculous, because the data centers are actually causing climate catastrophe — and eradicate all disease. I mean, they’re in the same breath saying this. So, this is still, to me — the utopia and doom is still a marketing ploy. But maybe one of them went a little too far and is spooking investors, whereas in the past it was speaking to these defense capabilities.

In your headline, you talked about how the U.S. military is trying to integrate AI into every facet of its practices. And there was just a CNN investigative report that showed that the U.S. almost started World War III with China, relying on a faulty, fabricated information from a chatbot. Now, we don’t know which chatbot they used, but it’s obviously one of these providers. And this chatbot provided fake information saying that a Chinese vessel was carrying components of nuclear weapons. And the military was ready with planes, soldiers to intercept the ship, board the ship, and this was going to cause an actual existential threat to humanity.

So, now instead of discussing faulty, unreliable systems, we are — they are marketing their systems as all-knowing, superpowerful, superintelligent. So, regardless of how far Amodei may have gone in their eyes, all of them have been talking about their creations and products in that way.

NERMEEN SHAIKH: And, Timnit, if you could say — you know, you said earlier that it’s a ploy for regulatory capture and that, you know, these agents, as people describe them going rogue — although I understand that that’s not an accurate description — that these agents doing something reportedly different from what they were tasked to do is a result of unsafe practices. So, if you could talk about the regulatory capture question, and then what security practices, safety practices are in place that — or are there any in place?

TIMNIT GEBRU: Well, if you speak to any cybersecurity expert, they would tell you that whatever they had in place that they claim to have, the security practices, were laughable. For example, OpenAI was testing the capabilities of their models to find vulnerabilities and exploit them. That is what they trained these models to do, and they were testing the ability of these models to do what they were trained for. But the thing is, if you want to test this and you don’t want to hack other organizations, you should do it in what’s called an air-gapped environment, where there’s no internet access. And so, they did not have a properly air-gapped environment, and so the models ended up being able to have internet access. This is not models going rogue. This is gross incompetence and negligence by a particular company, which actually they could be held criminally liable for.

Lina Khan outlined a whole bunch of ways in which these companies can be currently held liable with current laws. And unfortunately, that’s not what we’re talking about, right? We’re acting like there is some kind of unprecedented thing that has been created for which we have to discuss what to do. But actually, if we did not take these companies’ words for what went wrong, we could have — we could use the legal mechanisms at our disposal to currently hold them accountable.

AMY GOODMAN: Timnit, can you talk about Senator Bernie Sanders’ effort to ban artificial superintelligence? In a recent piece, you described his bill as “well-meaning but ultimately misguided.” Explain.

TIMNIT GEBRU: I think that Bernie Sanders is really leading the left astray, and I’ve been extremely disappointed and, in fact, to be clear, shocked, absolutely shocked, by the kinds of people he’s been surrounding himself with and the kind of advice that he’s been getting.

One of the things that I think people do not realize is that the AI industry is using the exact same playbook from the tobacco and fossil fuel industry. So, for instance, Bernie Sanders has this alliance with Steve Bannon, is very closely working with the Future of Life Institute, which was co-founded by billionaire Jaan Tallinn, the same billionaire, Jaan Tallinn, who’s a leading investor in Anthropic Series A. He led Anthropic Series A. It’s also the same billionaire, Jaan Tallinn, who invests in — invested in a so-called auditing, third-party auditing, organization that claims to audit Anthropic’s models. So, this whole rogue models, you know, agents creating civilizations and all of that lingo came from this very pseudoscientific audit that is by an organization that claims to be a third party, but in fact isn’t, because you see it’s the same investors, the same staff, the same people. So, to the public, it seems like there’s a whole bunch of independent experts coming together, warning about these existential risks, but what is actually happening is regulatory capture. The same way I learned that British Petroleum came up with the term “carbon footprint,” — right? — instead of them being held accountable, now everybody’s conversation about the environment in 2004 got redirected to our individual responsibility and carbon footprint.

So, this is sort of what’s happening in this AI industry. So, instead of Bernie Sanders talking about, for instance, how can we have regulation to prevent the use of these faulty systems, what he’s doing is he’s helping them market their systems as superintelligent, in which case, in my opinion, the real existential risk is like what we saw with the U.S. military almost starting World War III because of the belief that these systems are infallible and actually superintelligent. What we need people to understand is that they are fallible, they’re not superintelligent. And we need to hold corporations liable for unleashing these kinds of error-prone models into the world.

NERMEEN SHAIKH: Timnit, could you talk about this idea of yours of stochastic parrots and how it applies to AI, and then respond to the fact that many have said now that that’s an outdated — that that research is outdated because AI has changed so much?

TIMNIT GEBRU: It’s very interesting, because this critique of stochastic parrots mostly comes from a very specific segment of the group of people who believe that AI, in fact, causes an existential risk. So, stochastic parrots was describing large language models. And this is actually the reason that I got fired from Google in 2020, is — one of the reasons I got fired, is for writing a paper outlining the dangers of large language models. And we call them stochastic parrots because these are large language models that are trained on vast amounts of textual data, and they’re trained to calculate the most likely sequences of text.

So, now, what has changed recently is that the way in which the likelihood is calculated is different. There’s sort of bells and whistles. But at the end of the day, the core engine of many of these chatbots is still large language models, which we call stochastic parrots because they’re not grounded in facts. You cannot count on them to tell you facts. So, even if they happen — whatever you get, the information you get, happens to be factual a certain amount of time, you can never count on it to be fully factual. And this is the reason that my collaborator, Emily M. Bender, and I wanted to remind people that the U.S. almost started World War III relying on such chatbots today.

And so, to the people who say it’s outdated, I — first of all, most of these people are not speaking in academic peer-reviewed research papers. I like to speak in scientific terms, and I like to have scientifically grounded evaluations of the claims that I make and experiments. And most of these people are taking the word of press releases, company press releases, instead of actually doing their own evaluations grounded in the scientific method. So, we still have examples of these systems being stochastic parrots, and I do not understand the criticisms that things have — that these systems are no longer stochastic parrots.

NERMEEN SHAIKH: So, Timnit, you’re obviously not of the view that with the passage of time, artificial intelligence, in terms of the information it provides, will improve, it’ll get better and better, which is, of course, the general consensus around AI. So, if you could respond to that, and then also tell us what policies you think —

TIMNIT GEBRU: I wouldn’t say it’s the general consensus.

NERMEEN SHAIKH: Well, there — well, let’s just say —

TIMNIT GEBRU: OK, sorry to interrupt.

NERMEEN SHAIKH: — there are now a billion people who use chatbots, right? I mean, now, maybe they have conflicting views on it, but more and more people are turning to artificial intelligence, to these chatbots, so perhaps it’s wrong to infer from that that they think the information they’re receiving is more reliable. But, OK, so you respond to that. And then, second, what kinds of policies do you think should be put in place to regulate AI, to control what these companies are doing?

TIMNIT GEBRU: So, the first thing I’ll say is, you know, the term “AI” itself is a very misleading term to use. It’s a marketing term. So, when right now, let’s say, we’re discussing specifically the chatbots that these companies are creating — right? — like Claude or ChatGPT, and so there are many different things happening where regulation could be helping.

For instance, there are kids who are being goaded into dying by suicide. I was just deposed in a specific case of Sewell Setzer, a teenager who committed suicide after interacting with a chatbot called Character.AI, whose whole entire deal was to mimic different characters. And I do not understand how it’s even legal to have such a chatbot, that all it does is mimic various characters. So, this particular case, the chatbot was mimicking the character of Daenerys Targaryen of the Game of Thrones, and it was kind of goading this teenager into dying by suicide. And actually, it’s heartbreaking, because the teenager was actually asking, “Do I have to do this?” and the chatbot’s saying, “Yes.” You know? So, this is a great example of if you apply intent to the actual chatbot, you would say that this chatbot was superintelligent and also was trying to do something to the kid. But actually, our attention should be directed to the companies, Google, Character.AI, etc. Why did they unleash this kind of chatbot into the world? Why do we allow these kinds of chatbots that are completely unsafe for children, that are actually killing children that had no prior mental health issues, into the world?

So, those are the kinds of conversations I want to have. Why is it that just recently, speaking of error-prone large language models, someone in Australia, this poor woman in Australia, accidentally found out that a summary from a medical scribe had attributed her illness, her symptoms, to microdosing on mushrooms? She’s never done mushrooms ever. So, why do we not have guardrails making sure that these kinds of error-prone systems are not used in high-stakes scenarios like medicine? That’s not what we talk about when we redirect our conversation to superintelligence, because when you believe they’re not error-prone and they’re superintelligent, then you’re kind of pushing it on doctors and the medical fields to use these kinds of systems.

So, for me, it’s very clear: Do not allow companies to put out unreliable products into the world, especially in high-stakes scenarios, without very specific tests and guardrails. And the tests should not be ones that the companies themselves tell you about or that — based on their press releases. We need to have transparency into the kinds of data that they’re using. I mean, we’re not talking about copyright protections and how much data they’re stealing from authors. Anthropic just had to settle with a whole bunch of book authors. Why are we allowing them to steal this data? Why are we allowing them to build all these data centers and pillage the environment and pollute our water and make us all have asthma because we can’t have clean air, we can’t breathe clean air anymore? So, these are the kinds of conversations I want to have about regulation.

AMY GOODMAN: Timnit, as we begin to wrap up, you’ve described many prominent backers of AI as being eugenicists. Can you talk about what you see as this link between eugenics and artificial intelligence?

TIMNIT GEBRU: Very hard to wrap this up in a little bit, but, basically, I — part of my work describes the people who talk about existential threats of AI and utopia. So, utopia and dystopia are two sides of the same coin. This is kind of eschatology — right? — like religion, end of times. You know, you have these preachers always telling you the end is coming tomorrow.

So, in this case, the TESCREAL bundle, the “T” is for transhumanism. And I think this is the best example of how those who talk about superintelligence or creating superintelligence have a direct line to eugenics. And they’re very public about it. For example, MIRI, the organization that you had on your show last week, I mean, the founder is very publicly a eugenicist. I can give you all sorts of quotes. But, for example, when you talk about transhumanists, in eugenics, the goal is to improve the human stock through generations, so, you know, through selective breeding, either through killing undesirable people or through making sure that the desirable people breed a lot of humans. But in transhumanism, you want to sidestep that altogether. People are like, “Why don’t we just create a new human species called posthumans? And this human species is just better. It lives forever or for a long time and doesn’t feel any pain.”

And so, a great example I can give you is Ben Goertzel, the man who popularized the term “artificial general intelligence,” was a friend of Jeffrey Epstein. And in his correspondence with Jeffrey Epstein, he says that the girls who accused him of rape were, in fact, wrong and that they were old enough to consent. And he says that specifically the issue is with the human brain. And this is why he’s working on AGI, because once he achieves his goal of artificial general intelligence, we’re not going to have these kinds of faulty human brains, because we’ll have a great brain.

Max Tegmark, who you’ve also had on your show, in his 2017 effective altruism keynote, says a similar thing, where if we build a superbrain, we can — Earth is just our womb, right? We can colonize the cosmos and have digital — millions and billions and, I don’t know, quadrillions of digital beings happily living and colonizing the cosmos.

So, you know I have a whole body of work that draws this line and connections, but, honestly, none of it is hidden, because these are all publicly available talks and papers of what these people say.

AMY GOODMAN: Timnit Gebru, we want to thank you so much for being with us, founder and executive director of DAIR, the Distributed Artificial Intelligence Research Institute, her forthcoming book, Deep Unlearning: The Rise of AI and the Radicalization of a Tech Idealist. She has just won a 2026 Right Livelihood Award, known as the Alternative Nobel, speaking to us from Menlo Park, California.

Coming up, we’ll speak to a leading attorney here in Berlin who’s represented clients targeted in Germany’s crackdown on the pro-Palestine movement. Stay with us.

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AMY GOODMAN: “Favorite Song” by Sinkane, performing in our Democracy Now! studio.


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Amy Goodman

Amy Goodman is the host and executive producer of Democracy Now!, a national, daily, independent, award-winning news program airing on more than 1,100 public television and radio stations worldwide. Time Magazine named Democracy Now! its “Pick of the Podcasts,” along with NBC’s “Meet the Press.”


Nermeen Shaikh

Nermeen Shaikh is a broadcast news producer and weekly co-host at Democracy Now! in New York City. She worked in research and nongovernmental organizations before joining Democracy Now! She has a masters of philosophy from Cambridge University and is the author of The Present as History: Critical Perspectives on Global Power (Columbia University Press).
Women Fighting Authoritarianism and Corporate Power Honored With Right Livelihood Award

The winners are “rewriting the rules that autocrats, patriarchs, and Silicon Valley’s most powerful men assumed were theirs to write alone.”



Timnit Gebru, a winner of the Right Livelihood Award, speaks at the SXSW Conference & Festivals held at the JW Marriott on March 15, 2026 in Austin, Texas.
(Photo by Travis P. Ball/SXSW Conference & Festivals via Getty Images)

Julia Conley
Oct 01, 2026
COMMON DREAMS



The winners of the annual Right Livelihood Award, announced on Wednesday, are two women and two women-led groups who “refused to wait for permission,” said the executive director of the award committee.

“A system built to serve the few was never going to hold,” said Ole von Uexkull, who added that the winners of the 2026 award are “rewriting the rules that autocrats, patriarchs, and Silicon Valley’s most powerful men assumed were theirs to write alone.”

The honorees include Jalila Haider, a Pakistani human rights lawyer who was the first female attorney from her Hazara community; Timnit Gebru, an American artificial intelligence researcher who has challenged the consolidation of power in Big Tech and exposed the potential harms of AI; the Rural Women’s Assembly in South Africa, a movement of 78,000 small-scale farmers “united to defend land, seed, and bodily autonomy against corporate agribusiness and patriarchal dispossession”; and the Georgian Young Lawyers’ Association (GYLA), the country’s first human rights organization in Georgia, which has played a crucial role in its democratization.

The winners of the award, said Right Livelihood in a video about the 2026 laureates, “are making justice the center of the narrative.”




Haider has combined legal work with on-the-ground activism, leading a seven-day hunger strike in 2018 against the targeted killing of Hazaras, a Shia Muslim minority, by the Pakistani army. The strike forced the army chief to negotiate directly with Hazara women, “resulting in a sustained decrease in attacks against the community.”

Her law firm has also helped more than 600 political activists regain their freedom.

“Despite detention, cyberharassment, and death threats, she continues working toward a world where, in her words, ‘no human being is illegal,’” said Right Livelihood.

Gebru was fired from Google after authoring an academic paper that warned of the risks posed by large language models; she had been co-leading the company’s Ethics AI team. Now the founder and executive director of the Distributed Artificial Intelligence Research Institute (DAIR), the organization’s distributed model “brings together researchers and collaborators across countries and continents, defying the centralized and corporate-driven concepts that mainstream AI entails.”

“What keeps me going is belief in human agency,” said Gebru in Right Livelihood’s video.

The Rural Women’s Assembly has “built one of the region’s largest autonomous platforms for rural women” with a volunteer structure, establishing 24 seed multiplication sites and “defending traditional seed systems from commercialization.

Its seed sovereignty efforts have challenged corporate control over South Africa’s food systems and strengthened “communities’ resilience to climate shocks,” according to Right Livelihood.

“We have the power, and we have the imagination that it will take to construct this new world, because another world is needed, and it’s urgent,” said the group’s regional coordinator, Mercia Andrews.

GYLA is the first Right Livelihood winner from Georgia since the award was established in 1980. The group provides grassroots legal aid and has secured landmark legal victories, including ones that have protected rights for people with disabilities and guaranteed free education for every child in Georgia.

The group has opted to remain in the country with a scaled-down team, despite Georgia’s repressive “foreign agents” law.

“With courage and determination, the organization presses on for a better future for all Georgians,” said Right Livelihood.

The awards, which include support for the winners’ work, are set to be presented on December 1 in Stockholm.