openai

the-gpt-5-rollout-has-been-a-big-mess

The GPT-5 rollout has been a big mess

It’s been less than a week since the launch of OpenAI’s new GPT-5 AI model, and the rollout hasn’t been a smooth one. So far, the release sparked one of the most intense user revolts in ChatGPT’s history, forcing CEO Sam Altman to make an unusual public apology and reverse key decisions.

At the heart of the controversy has been OpenAI’s decision to automatically remove access to all previous AI models in ChatGPT (approximately nine, depending on how you count them) when GPT-5 rolled out to user accounts. Unlike API users who receive advance notice of model deprecations, consumer ChatGPT users had no warning that their preferred models would disappear overnight, noted independent AI researcher Simon Willison in a blog post.

The problems started immediately after GPT-5’s August 7 debut. A Reddit thread titled “GPT-5 is horrible” quickly amassed over 4,000 comments filled with users expressing frustration over the new release. By August 8, social media platforms were flooded with complaints about performance issues, personality changes, and the forced removal of older models.

As of May 14, 2025, ChatGPT Pro users have access to 8 different main AI models, plus Deep Research.

Prior to the launch of GPT-5, ChatGPT Pro users could select between nine different AI models, including Deep Research. (This screenshot is from May 14, 2025, and OpenAI later replaced o1 pro with o3-pro.) Credit: Benj Edwards

Marketing professionals, researchers, and developers all shared examples of broken workflows on social media. “I’ve spent months building a system to work around OpenAI’s ridiculous limitations in prompts and memory issues,” wrote one Reddit user in the r/OpenAI subreddit. “And in less than 24 hours, they’ve made it useless.”

How could different AI language models break a workflow? The answer lies in how each one is trained in a different way and includes its own unique output style: The workflow breaks because users have developed sets of prompts that produce useful results optimized for each AI model.

For example, Willison wrote how different user groups had developed distinct workflows with specific AI models in ChatGPT over time, quoting one Reddit user who explained: “I know GPT-5 is designed to be stronger for complex reasoning, coding, and professional tasks, but not all of us need a pro coding model. Some of us rely on 4o for creative collaboration, emotional nuance, roleplay, and other long-form, high-context interactions.”

The GPT-5 rollout has been a big mess Read More »

reddit-blocks-internet-archive-to-end-sneaky-ai-scraping

Reddit blocks Internet Archive to end sneaky AI scraping

“Until they’re able to defend their site and comply with platform policies (e.g., respecting user privacy, re: deleting removed content) we’re limiting some of their access to Reddit data to protect redditors,” Rathschmidt said.

A review of social media comments suggests that in the past, some Redditors have used the Wayback Machine to research deleted comments or threads. Those commenters noted that myriad other tools exist for surfacing deleted posts or researching a user’s activity, with some suggesting that the Wayback Machine was maybe not the easiest platform to navigate for that purpose.

Redditors have also turned to resources like IA during times when Reddit’s platform changes trigger content removals. Most recently in 2023, when changes to Reddit’s public API threatened to kill beloved subreddits, archives stepped in to preserve content before it was lost.

IA has not signaled whether it’s looking into fixes to get Reddit’s restrictions lifted and did not respond to Ars’ request to comment on how this change might impact the archive’s utility as an open web resource, given Reddit’s popularity.

The director of the Wayback Machine, Mark Graham, told Ars that IA has “a longstanding relationship with Reddit” and continues to have “ongoing discussions about this matter.”

It seems likely that Reddit is financially motivated to restrict AI firms from taking advantage of Wayback Machine archives, perhaps hoping to spur more lucrative licensing deals like Reddit struck with OpenAI and Google. The terms of the OpenAI deal were kept quiet, but the Google deal was reportedly worth $60 million. Over the next three years, Reddit expects to make more than $200 million off such licensing deals.

Disclosure: Advance Publications, which owns Ars Technica parent Condé Nast, is the largest shareholder in Reddit.

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chatgpt-users-hate-gpt-5’s-“overworked-secretary”-energy,-miss-their-gpt-4o-buddy

ChatGPT users hate GPT-5’s “overworked secretary” energy, miss their GPT-4o buddy

Others are irked by how quickly they run up against usage limits on the free tier, which pushes them toward the Plus ($20) and Pro ($200) subscriptions. But running generative AI is hugely expensive, and OpenAI is hemorrhaging cash. It wouldn’t be surprising if the wide rollout of GPT-5 is aimed at increasing revenue. At the same time, OpenAI can point to AI evaluations that show GPT-5 is more intelligent than its predecessor.

RIP your AI buddy

OpenAI built ChatGPT to be a tool people want to use. It’s a fine line to walk—OpenAI has occasionally made its flagship AI too friendly and complimentary. Several months ago, the company had to roll back a change that made the bot into a sycophantic mess that would suck up to the user at every opportunity. That was a bridge too far, certainly, but many of the company’s users liked the generally friendly tone of the chatbot. They tuned the AI with custom prompts and built it into a personal companion. They’ve lost that with GPT-5.

No new AI

Naturally, ChatGPT users have turned to AI to express their frustration.

Credit: /u/Responsible_Cow2236

Naturally, ChatGPT users have turned to AI to express their frustration. Credit: /u/Responsible_Cow2236

There are reasons to be wary of this kind of parasocial attachment to artificial intelligence. As companies have tuned these systems to increase engagement, they prioritize outputs that make people feel good. This results in interactions that can reinforce delusions, eventually leading to serious mental health episodes and dangerous medical beliefs. It can be hard to understand for those of us who don’t spend our days having casual conversations with ChatGPT, but the Internet is teeming with folks who build their emotional lives around AI.

Is GPT-5 safer? Early impressions from frequent chatters decry the bot’s more corporate, less effusively creative tone. In short, a significant number of people don’t like the outputs as much. GPT-5 could be a more able analyst and worker, but it isn’t the digital companion people have come to expect, and in some cases, love. That might be good in the long term, both for users’ mental health and OpenAI’s bottom line, but there’s going to be an adjustment period for fans of GPT-4o.

Chatters who are unhappy with the more straightforward tone of GPT-5 can always go elsewhere. Elon Musk’s xAI has shown it is happy to push the envelope with Grok, featuring Taylor Swift nudes and AI waifus. Of course, Ars does not recommend you do that.

ChatGPT users hate GPT-5’s “overworked secretary” energy, miss their GPT-4o buddy Read More »

apple-brings-openai’s-gpt-5-to-ios-and-macos

Apple brings OpenAI’s GPT-5 to iOS and macOS

OpenAI’s GPT-5 model went live for most ChatGPT users this week, but lots of people use ChatGPT not through OpenAI’s interface but through other platforms or tools. One of the largest deployments is iOS, the iPhone operating system, which allows users to make certain queries via GPT-4o. It turns out those users won’t have to wait long for the latest model: Apple will switch to GPT-5 in iOS 26, iPadOS 26, and macOS Tahoe 26, according to 9to5Mac.

Apple has not officially announced when those OS updates will be released to users’ devices, but these major releases have typically been released in September in recent years.

The new model had already rolled out on some other platforms, like the coding tool GitHub Copilot via public preview, as well as Microsoft’s general-purpose Copilot.

GPT-5 purports to hallucinate 80 percent less and heralds a major rework of how OpenAI positions its models; for example, GPT-5 by default automatically chooses whether to use a reasoning-optimized model based on the nature of the user’s prompt. Free users will have to accept whatever the choice is, while paid ChatGPT accounts allow manually picking which model to use on a prompt-by-prompt basis. It’s unclear how that will work in iOS; will it stick to GPT-5’s non-reasoning mode all the time, or will it utilize GPT-5 “(with thinking)”? And if it supports the latter, will paid ChatGPT users be able to manually pick like they can in the ChatGPT app, or will they be limited to whatever ChatGPT deems appropriate, like free users? We don’t know yet.

Apple brings OpenAI’s GPT-5 to iOS and macOS Read More »

us-executive-branch-agencies-will-use-chatgpt-enterprise-for-just-$1-per-agency

US executive branch agencies will use ChatGPT Enterprise for just $1 per agency

OpenAI announced an agreement to supply more than 2 million workers for the US federal executive branch access to ChatGPT and related tools at practically no cost: just $1 per agency for one year.

The deal was announced just one day after the US General Services Administration (GSA) signed a blanket deal to allow OpenAI and rivals like Google and Anthropic to supply tools to federal workers.

The workers will have access to ChatGPT Enterprise, a type of account that includes access to frontier models and cutting-edge features with relatively high token limits, alongside a more robust commitment to data privacy than general consumers of ChatGPT get. ChatGPT Enterprise has been trialed over the past several months at several corporations and other types of large organizations.

The workers will also have unlimited access to advanced features like Deep Research and Advanced Voice Mode for a 60-day period. After the one-year trial period, the agencies are under no obligation to renew.

A limited deployment of ChatGPT for federal workers was already done via a pilot program with the US Department of Defense earlier this summer.

In a blog post, OpenAI heralded this announcement as an act of public service:

This effort delivers on a core pillar of the Trump Administration’s AI Action Plan by making powerful AI tools available across the federal government so that workers can spend less time on red tape and paperwork, and more time doing what they came to public service to do: serve the American people.

The AI Action Plan aims to expand AI-focused data centers in the United States while bringing AI tools to federal workers, ostensibly to improve efficiency.

US executive branch agencies will use ChatGPT Enterprise for just $1 per agency Read More »

openai-releases-its-first-open-source-models-since-2019

OpenAI releases its first open source models since 2019

OpenAI is releasing new generative AI models today, and no, GPT-5 is not one of them. Depending on how you feel about generative AI, these new models may be even more interesting, though. The company is rolling out gpt-oss-120b and gpt-oss-20b, its first open weight models since the release of GPT-2 in 2019. You can download and run these models on your own hardware, with support for simulated reasoning, tool use, and deep customization.

When you access the company’s proprietary models in the cloud, they’re running on powerful server infrastructure that cannot be replicated easily, even in enterprise. The new OpenAI models come in two variants (120b and 20b) to be run on less powerful hardware configurations. Both are transformers with configurable chain of thought (CoT), supporting low, medium, and high settings. The lower settings are faster and use fewer compute resources, but the outputs are better with the highest setting. You can set the CoT level with a single line in the system prompt.

The smaller gpt-oss-20b has a total of 21 billion parameters, utilizing mixture-of-experts (MoE) to reduce that to 3.6 billion parameters per token. As for gpt-oss-120b, its 117 billion parameters come down to 5.1 billion per token with MoE. The company says the smaller model can run on a consumer-level machine with 16GB or more of memory. To run gpt-oss-120b, you need 80GB of memory, which is more than you’re likely to find in the average consumer machine. It should fit on a single AI accelerator GPU like the Nvidia H100, though. Both models have a context window of 128,000 tokens.

Credit: OpenAI

The team says users of gpt-oss can expect robust performance similar to its leading cloud-based models. The larger one benchmarks between the o3 and o4-mini proprietary models in most tests, with the smaller version running just a little behind. It gets closest in math and coding tasks. In the knowledge-based Humanity’s Last Exam, o3 is far out in front with 24.9 percent (with tools), while gpt-oss-120b only manages 19 percent. For comparison, Google’s leading Gemini Deep Think hits 34.8 percent in that test.

OpenAI releases its first open source models since 2019 Read More »

at-$250-million,-top-ai-salaries-dwarf-those-of-the-manhattan-project-and-the-space-race

At $250 million, top AI salaries dwarf those of the Manhattan Project and the Space Race


A 24 year-old AI researcher will earn 327x what Oppenheimer made while developing the atomic bomb.

Silicon Valley’s AI talent war just reached a compensation milestone that makes even the most legendary scientific achievements of the past look financially modest. When Meta recently offered AI researcher Matt Deitke $250 million over four years (an average of $62.5 million per year)—with potentially $100 million in the first year alone—it shattered every historical precedent for scientific and technical compensation we can find on record. That includes salaries during the development of major scientific milestones of the 20th century.

The New York Times reported that Deitke had cofounded a startup called Vercept and previously led the development of Molmo, a multimodal AI system, at the Allen Institute for Artificial Intelligence. His expertise in systems that juggle images, sounds, and text—exactly the kind of technology Meta wants to build—made him a prime target for recruitment. But he’s not alone: Meta CEO Mark Zuckerberg reportedly also offered an unnamed AI engineer $1 billion in compensation to be paid out over several years. What’s going on?

These astronomical sums reflect what tech companies believe is at stake: a race to create artificial general intelligence (AGI) or superintelligence—machines capable of performing intellectual tasks at or beyond the human level. Meta, Google, OpenAI, and others are betting that whoever achieves this breakthrough first could dominate markets worth trillions. Whether this vision is realistic or merely Silicon Valley hype, it’s driving compensation to unprecedented levels.

To put these salaries in a historical perspective: J. Robert Oppenheimer, who led the Manhattan Project that ended World War II, earned approximately $10,000 per year in 1943. Adjusted for inflation using the US Government’s CPI Inflation Calculator, that’s about $190,865 in today’s dollars—roughly what a senior software engineer makes today. The 24-year-old Deitke, who recently dropped out of a PhD program, will earn approximately 327 times what Oppenheimer made while developing the atomic bomb.

Many top athletes can’t compete with these numbers. The New York Times noted that Steph Curry’s most recent four-year contract with the Golden State Warriors was $35 million less than Deitke’s Meta deal (although soccer superstar Cristiano Ronaldo will make $275 million this year as the highest-paid professional athlete in the world).  The comparison prompted observers to call this an “NBA-style” talent market—except the AI researchers are making more than NBA stars.

Racing toward “superintelligence”

Mark Zuckerberg recently told investors that Meta plans to continue throwing money at AI talent “because we have conviction that superintelligence is going to improve every aspect of what we do.” In a recent open letter, he described superintelligent AI as technology that would “begin an exciting new era of individual empowerment,” despite declining to define what superintelligence actually is.

This vision explains why companies treat AI researchers like irreplaceable assets rather than well-compensated professionals. If these companies are correct, the first to achieve artificial general intelligence or superintelligence won’t just have a better product—they’ll have technology that could invent endless new products or automate away millions of knowledge-worker jobs and transform the global economy. The company that controls that kind of technology could become the richest company in history by far.

So perhaps it’s not surprising that even the highest salaries of employees from the early tech era pale in comparison to today’s AI researcher salaries. Thomas Watson Sr., IBM’s legendary CEO, received $517,221 in 1941—the third-highest salary in America at the time (about $11.8 million in 2025 dollars). The modern AI researcher’s package represents more than five times Watson’s peak compensation, despite Watson building one of the 20th century’s most dominant technology companies.

The contrast becomes even more stark when considering the collaborative nature of past scientific achievements. During Bell Labs’ golden age of innovation—when researchers developed the transistor, information theory, and other foundational technologies—the lab’s director made about 12 times what the lowest-paid worker earned.  Meanwhile, Claude Shannon, who created information theory at Bell Labs in 1948, worked on a standard professional salary while creating the mathematical foundation for all modern communication.

The “Traitorous Eight” who left William Shockley to found Fairchild Semiconductor—the company that essentially birthed Silicon Valley—split ownership of just 800 shares out of 1,325 total when they started. Their seed funding of $1.38 million (about $16.1 million today) for the entire company is a fraction of what a single AI researcher now commands.

Even Space Race salaries were far cheaper

The Apollo program offers another striking comparison. Neil Armstrong, the first human to walk on the moon, earned about $27,000 annually—roughly $244,639 in today’s money. His crewmates Buzz Aldrin and Michael Collins made even less, earning the equivalent of $168,737 and $155,373, respectively, in today’s dollars. Current NASA astronauts earn between $104,898 and $161,141 per year. Meta’s AI researcher will make more in three days than Armstrong made in a year for taking “one giant leap for mankind.”

The engineers who designed the rockets and mission control systems for the Apollo program also earned modest salaries by modern standards. A 1970 NASA technical report provides a window into these earnings by analyzing salary data for the entire engineering profession. The report, which used data from the Engineering Manpower Commission, noted that these industry-wide salary curves corresponded directly to the government’s General Schedule (GS) pay scale on which NASA’s own employees were paid.

According to a chart in the 1970 report, a newly graduated engineer in 1966 started with an annual salary of between $8,500 and $10,000 (about $84,622 to $99,555 today). A typical engineer with a decade of experience earned around $17,000 annually ($169,244 today). Even the most elite, top-performing engineers with 20 years of experience peaked at a salary of around $278,000 per year in today’s dollars—a sum that a top AI researcher like Deitke can now earn in just a few days.

Why the AI talent market is different

An image of a faceless human silhouette (chest up) with exposed microchip contacts and circuitry erupting from its open head. This visual metaphor explores transhumanism, AI integration, or the erosion of organic thought in the digital age. The stark contrast between the biological silhouette and mechanical components highlights themes of technological dependence or posthuman evolution. Ideal for articles on neural implants, futurism, or the ethics of human augmentation.

This isn’t the first time technical talent has commanded premium prices. In 2012, after three University of Toronto academics published AI research, they auctioned themselves to Google for $44 million (about $62.6 million in today’s dollars). By 2014, a Microsoft executive was comparing AI researcher salaries to NFL quarterback contracts. But today’s numbers dwarf even those precedents.

Several factors explain this unprecedented compensation explosion. We’re in a new realm of industrial wealth concentration unseen since the Gilded Age of the late 19th century. Unlike previous scientific endeavors, today’s AI race features multiple companies with trillion-dollar valuations competing for an extremely limited talent pool. Only a small number of researchers have the specific expertise needed to work on the most capable AI systems, particularly in areas like multimodal AI, which Deitke specializes in. And AI hype is currently off the charts as “the next big thing” in technology.

The economics also differ fundamentally from past projects. The Manhattan Project cost $1.9 billion total (about $34.4 billion adjusted for inflation), while Meta alone plans to spend tens of billions annually on AI infrastructure. For a company approaching a $2 trillion market cap, the potential payoff from achieving AGI first dwarfs Deitke’s compensation package.

One executive put it bluntly to The New York Times: “If I’m Zuck and I’m spending $80 billion in one year on capital expenditures alone, is it worth kicking in another $5 billion or more to acquire a truly world-class team to bring the company to the next level? The answer is obviously yes.”

Young researchers maintain private chat groups on Slack and Discord to share offer details and negotiation strategies. Some hire unofficial agents. Companies not only offer massive cash and stock packages but also computing resources—the NYT reported that some potential hires were told they would be allotted 30,000 GPUs, the specialized chips that power AI development.

Also, tech companies believe they’re engaged in an arms race where the winner could reshape civilization. Unlike the Manhattan Project or Apollo program, which had specific, limited goals, the race for artificial general intelligence ostensibly has no ceiling. A machine that can match human intelligence could theoretically improve itself, creating what researchers call an “intelligence explosion” that could potentially offer cascading discoveries—if it actually comes to pass.

Whether these companies are building humanity’s ultimate labor replacement technology or merely chasing hype remains an open question, but we’ve certainly traveled a long way from the $8 per diem that Neil Armstrong received for his moon mission—about $70.51 in today’s dollars—before deductions for the “accommodations” NASA provided on the spacecraft. After Deitke accepted Meta’s offer, Vercept co-founder Kiana Ehsani joked on social media, “We look forward to joining Matt on his private island next year.”

Photo of Benj Edwards

Benj Edwards is Ars Technica’s Senior AI Reporter and founder of the site’s dedicated AI beat in 2022. He’s also a tech historian with almost two decades of experience. In his free time, he writes and records music, collects vintage computers, and enjoys nature. He lives in Raleigh, NC.

At $250 million, top AI salaries dwarf those of the Manhattan Project and the Space Race Read More »

chatgpt-users-shocked-to-learn-their-chats-were-in-google-search-results

ChatGPT users shocked to learn their chats were in Google search results

Faced with mounting backlash, OpenAI removed a controversial ChatGPT feature that caused some users to unintentionally allow their private—and highly personal—chats to appear in search results.

Fast Company exposed the privacy issue on Wednesday, reporting that thousands of ChatGPT conversations were found in Google search results and likely only represented a sample of chats “visible to millions.” While the indexing did not include identifying information about the ChatGPT users, some of their chats did share personal details—like highly specific descriptions of interpersonal relationships with friends and family members—perhaps making it possible to identify them, Fast Company found.

OpenAI’s chief information security officer, Dane Stuckey, explained on X that all users whose chats were exposed opted in to indexing their chats by clicking a box after choosing to share a chat.

Fast Company noted that users often share chats on WhatsApp or select the option to save a link to visit the chat later. But as Fast Company explained, users may have been misled into sharing chats due to how the text was formatted:

“When users clicked ‘Share,’ they were presented with an option to tick a box labeled ‘Make this chat discoverable.’ Beneath that, in smaller, lighter text, was a caveat explaining that the chat could then appear in search engine results.”

At first, OpenAI defended the labeling as “sufficiently clear,” Fast Company reported Thursday. But Stuckey confirmed that “ultimately,” the AI company decided that the feature “introduced too many opportunities for folks to accidentally share things they didn’t intend to.” According to Fast Company, that included chats about their drug use, sex lives, mental health, and traumatic experiences.

Carissa Veliz, an AI ethicist at the University of Oxford, told Fast Company she was “shocked” that Google was logging “these extremely sensitive conversations.”

OpenAI promises to remove Google search results

Stuckey called the feature a “short-lived experiment” that OpenAI launched “to help people discover useful conversations.” He confirmed that the decision to remove the feature also included an effort to “remove indexed content from the relevant search engine” through Friday morning.

ChatGPT users shocked to learn their chats were in Google search results Read More »

ai-in-wyoming-may-soon-use-more-electricity-than-state’s-human-residents

AI in Wyoming may soon use more electricity than state’s human residents

Wyoming’s data center boom

Cheyenne is no stranger to data centers, having attracted facilities from Microsoft and Meta since 2012 due to its cool climate and energy access. However, the new project pushes the state into uncharted territory. While Wyoming is the nation’s third-biggest net energy supplier, producing 12 times more total energy than it consumes (dominated by fossil fuels), its electricity supply is finite.

While Tallgrass and Crusoe have announced the partnership, they haven’t revealed who will ultimately use all this computing power—leading to speculation about potential tenants.

A potential connection to OpenAI’s Stargate AI infrastructure project, announced in January, remains a subject of speculation. When asked by The Associated Press if the Cheyenne project was part of this effort, Crusoe spokesperson Andrew Schmitt was noncommittal. “We are not at a stage that we are ready to announce our tenant there,” Schmitt said. “I can’t confirm or deny that it’s going to be one of the Stargate.”

OpenAI recently activated the first phase of a Crusoe-built data center complex in Abilene, Texas, in partnership with Oracle. Chris Lehane, OpenAI’s chief global affairs officer, told The Associated Press last week that the Texas facility generates “roughly and depending how you count, about a gigawatt of energy” and represents “the largest data center—we think of it as a campus—in the world.”

OpenAI has committed to developing an additional 4.5 gigawatts of data center capacity through an agreement with Oracle. “We’re now in a position where we have, in a really concrete way, identified over five gigawatts of energy that we’re going to be able to build around,” Lehane told the AP. The company has not disclosed locations for these expansions, and Wyoming was not among the 16 states where OpenAI said it was searching for data center sites earlier this year.

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openai’s-chatgpt-agent-casually-clicks-through-“i-am-not-a-robot”-verification-test

OpenAI’s ChatGPT Agent casually clicks through “I am not a robot” verification test

The CAPTCHA arms race

While the agent didn’t face an actual CAPTCHA puzzle with images in this case, successfully passing Cloudflare’s behavioral screening that determines whether to present such challenges demonstrates sophisticated browser automation.

To understand the significance of this capability, it’s important to know that CAPTCHA systems have served as a security measure on the web for decades. Computer researchers invented the technique in the 1990s to screen bots from entering information into websites, originally using images with letters and numbers written in wiggly fonts, often obscured with lines or noise to foil computer vision algorithms. The assumption is that the task will be easy for humans but difficult for machines.

Cloudflare’s screening system, called Turnstile, often precedes actual CAPTCHA challenges and represents one of the most widely deployed bot-detection methods today. The checkbox analyzes multiple signals, including mouse movements, click timing, browser fingerprints, IP reputation, and JavaScript execution patterns to determine if the user exhibits human-like behavior. If these checks pass, users proceed without seeing a CAPTCHA puzzle. If the system detects suspicious patterns, it escalates to visual challenges.

The ability for an AI model to defeat a CAPTCHA isn’t entirely new (although having one narrate the process feels fairly novel). AI tools have been able to defeat certain CAPTCHAs for a while, which has led to an arms race between those that create them and those that defeat them. OpenAI’s Operator, an experimental web-browsing AI agent launched in January, faced difficulty clicking through some CAPTCHAs (and was also trained to stop and ask a human to complete them), but the latest ChatGPT Agent tool has seen a much wider release.

It’s tempting to say that the ability of AI agents to pass these tests puts the future effectiveness of CAPTCHAs into question, but for as long as there have been CAPTCHAs, there have been bots that could later defeat them. As a result, recent CAPTCHAs have become more of a way to slow down bot attacks or make them more expensive rather than a way to defeat them entirely. Some malefactors even hire out farms of humans to defeat them in bulk.

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trump’s-order-to-make-chatbots-anti-woke-is-unconstitutional,-senator-says

Trump’s order to make chatbots anti-woke is unconstitutional, senator says


Trump plans to use chatbots to eliminate dissent, senator alleged.

The CEOs of every major artificial intelligence company received letters Wednesday urging them to fight Donald Trump’s anti-woke AI order.

Trump’s executive order requires any AI company hoping to contract with the federal government to jump through two hoops to win funding. First, they must prove their AI systems are “truth-seeking”—with outputs based on “historical accuracy, scientific inquiry, and objectivity” or else acknowledge when facts are uncertain. Second, they must train AI models to be “neutral,” which is vaguely defined as not favoring DEI (diversity, equity, and inclusion), “dogmas,” or otherwise being “intentionally encoded” to produce “partisan or ideological judgments” in outputs “unless those judgments are prompted by or otherwise readily accessible to the end user.”

Announcing the order in a speech, Trump said that the US winning the AI race depended on removing allegedly liberal biases, proclaiming that “once and for all, we are getting rid of woke.”

“The American people do not want woke Marxist lunacy in the AI models, and neither do other countries,” Trump said.

Senator Ed Markey (D.-Mass.) accused Republicans of basing their policies on feelings, not facts, joining critics who suggest that AI isn’t “woke” just because of a few “anecdotal” outputs that reflect a liberal bias. And he suggested it was hypocritical that Trump’s order “ignores even more egregious evidence” that contradicts claims that AI is trained to be woke, such as xAI’s Elon Musk explicitly confirming that Grok was trained to be more right-wing.

“On May 1, 2025, Grok—the AI chatbot developed by xAI, Elon Musk’s AI company—acknowledged that ‘xAI tried to train me to appeal to the right,’” Markey wrote in his letters to tech giants. “If OpenAI’s ChatGPT or Google’s Gemini had responded that it was trained to appeal to the left, congressional Republicans would have been outraged and opened an investigation. Instead, they were silent.”

He warned the heads of Alphabet, Anthropic, Meta, Microsoft, OpenAI, and xAI that Trump’s AI agenda was allegedly “an authoritarian power grab” intended to “eliminate dissent” and was both “dangerous” and “patently unconstitutional.”

Even if companies’ AI models are clearly biased, Markey argued that “Republicans are using state power to pressure private companies to adopt certain political viewpoints,” which he claimed is a clear violation of the First Amendment. If AI makers cave, Markey warned, they’d be allowing Trump to create “significant financial incentives” to ensure that “their AI chatbots do not produce speech that would upset the Trump administration.”

“This type of interference with private speech is precisely why the US Constitution has a First Amendment,” Markey wrote, while claiming that Trump’s order is factually baseless.

It’s “based on the erroneous belief that today’s AI chatbots are ‘woke’ and biased against Trump,” Markey said, urging companies “to fight this unconstitutional executive order and not become a pawn in Trump’s effort to eliminate dissent in this country.”

One big reason AI companies may fight order

Some experts agreed with Markey that Trump’s order was likely unconstitutional or otherwise unlawful, The New York Times reported.

For example, Trump may struggle to convince courts that the government isn’t impermissibly interfering with AI companies’ protected speech or that such interference may be necessary to ensure federal procurement of unbiased AI systems.

Genevieve Lakier, a law professor at the University of Chicago, told the NYT that the lack of clarity around what makes a model biased could be a problem. Courts could deem the order an act of “unconstitutional jawboning,” with the Trump administration and Republicans generally perceived as using legal threats to pressure private companies into producing outputs that they like.

Lakier suggested that AI companies may be so motivated to win government contracts or intimidated by possible retaliation from Trump that they may not even challenge the order, though.

Markey is hoping that AI companies will refuse to comply with the order; however, despite recognizing that it places companies “in a difficult position: Either stand on your principles and face the wrath of the Trump administration or cave to Trump and modify your company’s political speech.”

There is one big possible reason that AI companies may have to resist, though.

Oren Etzioni, the former CEO of the AI research nonprofit Allen Institute for Artificial Intelligence, told CNN that Trump’s anti-woke AI order may contradict the top priority of his AI Action Plan—speeding up AI innovation in the US—and actually threaten to hamper innovation.

If AI developers struggle to produce what the Trump administration considers “neutral” outputs—a technical challenge that experts agree is not straightforward—that could delay model advancements.

“This type of thing… creates all kinds of concerns and liability and complexity for the people developing these models—all of a sudden, they have to slow down,” Etzioni told CNN.

Senator: Grok scandal spotlights GOP hypocrisy

Some experts have suggested that rather than chatbots adopting liberal viewpoints, chatbots are instead possibly filtering out conservative misinformation and unintentionally appearing to favor liberal views.

Andrew Hall, a professor of political economy at Stanford Graduate School of Business—who published a May paper finding that “Americans view responses from certain popular AI models as being slanted to the left”—told CNN that “tech companies may have put extra guardrails in place to prevent their chatbots from producing content that could be deemed offensive.”

Markey seemed to agree, writing that Republicans’ “selective outrage matches conservatives’ similar refusal to acknowledge that the Big Tech platforms suspend or impose other penalties disproportionately on conservative users because those users are disproportionately likely to share misinformation, rather than due to any political bias by the platforms.”

It remains unclear what amount of supposed bias detected in outputs could cause a contract bid to be rejected or an ongoing contract to be canceled, but AI companies will likely be on the hook to pay any fees in terminating contracts.

Complying with Trump’s order could pose a struggle for AI makers for several reasons. First, they’ll have to determine what’s fact and what’s ideology, contending with conflicting government standards in how Trump defines DEI. For example, the president’s order counts among “pervasive and destructive” DEI ideologies any outputs that align with long-standing federal protections against discrimination on the basis of race or sex. In addition, they must figure out what counts as “suppression or distortion of factual information about” historical topics like critical race theory, systemic racism, or transgenderism.

The examples in Trump’s order highlighting outputs offensive to conservatives seem inconsequential. He calls out image generators depicting the Pope, the Founding Fathers, and Vikings as not white as problematic, as well as models refusing to misgender a person “even if necessary to stop a nuclear apocalypse” or show white people celebrating their achievements.

It’s hard to imagine how these kinds of flawed outputs could impact government processes, as compared to, say, government contracts granted to models that could be hiding covert racism or sexism.

So far, there has been one example of an AI model displaying a right-wing bias earning a government contract with no red flags raised about its outputs.

Earlier this summer, Grok shocked the world after Musk announced he would be updating the bot to eliminate a supposed liberal bias. The unhinged chatbot began spouting offensive outputs, including antisemitic posts that praised Hitler as well as proclaiming itself “MechaHitler.”

But those obvious biases did not conflict with the Pentagon’s decision to grant xAI a $200 million federal contract. In a statement, a Pentagon spokesperson insisted that “the antisemitism episode wasn’t enough to disqualify” xAI, NBC News reported, partly since “several frontier AI models have produced questionable outputs.”

The Pentagon’s statement suggested that the government expected to deal with such risks while seizing the opportunity of rapidly deploying emerging AI technology into government prototype processes. And perhaps notably, Trump provides a carveout for any agencies using AI models to safeguard national security, which could exclude the Pentagon from experiencing any “anti-woke” delays in accessing frontier models.

But that won’t help other agencies that must figure out how to assess models to meet anti-woke AI requirements over the next few months. And those assessments could cause delays that Trump may wish to avoid in pushing for widespread AI adoption across government.

Trump’s anti-woke AI agenda may be impossible

On the same day that Trump issued his anti-woke AI order, his AI Action Plan promised an AI “renaissance” fueling “intellectual achievements” by “unraveling ancient scrolls once thought unreadable, making breakthroughs in scientific and mathematical theory, and creating new kinds of digital and physical art.”

To achieve that, the US must “innovate faster and more comprehensively than our competitors” and eliminate regulatory barriers impeding innovation in order to “set the gold standard for AI worldwide.”

However, achieving the anti-woke ambitions of both orders raises a technical problem that even the president must accept currently has no solution. In his AI Action Plan, Trump acknowledged that “the inner workings of frontier AI systems are poorly understood,” with even “advanced technologists” unable to explain “why a model produced a specific output.”

Whether requiring AI companies to explain their AI outputs to win government contracts will mess with other parts of Trump’s action plan remains to be seen. But Samir Jain, vice president of policy at a civil liberties group called the Center for Democracy and Technology, told the NYT that he predicts the anti-woke AI agenda will set “a really vague standard that’s going to be impossible for providers to meet.”

Photo of Ashley Belanger

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

Trump’s order to make chatbots anti-woke is unconstitutional, senator says Read More »

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OpenAI and partners are building a massive AI data center in Texas

Stargate moves forward despite early skepticism

When OpenAI announced Stargate in January, critics questioned whether the company could deliver on its ambitious $500 billion funding promise. Trump ally and frequent Altman foe Elon Musk wrote on X that “They don’t actually have the money,” claiming that “SoftBank has well under $10B secured.”

Tech writer and frequent OpenAI critic Ed Zitron raised concerns about OpenAI’s financial position, noting the company’s $5 billion in losses in 2024. “This company loses $5bn+ a year! So what, they raise $19bn for Stargate, then what, another $10bn just to be able to survive?” Zitron wrote on Bluesky at the time.

Six months later, OpenAI’s Abilene data center has moved from construction to partial operation. Oracle began delivering Nvidia GB200 racks to the facility last month, and OpenAI reports it has started running early training and inference workloads to support what it calls “next-generation frontier research.”

Despite the White House announcement with President Trump in January, the Stargate concept dates back to March 2024, when Microsoft and OpenAI partnered on a $100 billion supercomputer as part of a five-phase plan. Over time, the plan evolved into its current form as a partnership with Oracle, SoftBank, and CoreWeave.

“Stargate is an ambitious undertaking designed to meet the historic opportunity in front of us,” writes OpenAI in the press release announcing the latest deal. “That opportunity is now coming to life through strong support from partners, governments, and investors worldwide—including important leadership from the White House, which has recognized the critical role AI infrastructure will play in driving innovation, economic growth, and national competitiveness.”

OpenAI and partners are building a massive AI data center in Texas Read More »