[AI DAILY NEWS RUNDOWN] Fake AI Productivity, OpenAI’s Daybreak, and the Altman Megatrial (May 12 2026)

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Summary: In today’s briefing, we analyze the “Erosion of Human Judgment.” We deconstruct the perverse corporate incentives exposed by Amazon employees gaming internal AI tools to hit management quotas, and Meta facing a lawsuit for allegedly profiting from $7 billion in scam ads. We explore the escalating cybersecurity arms race, with OpenAI launching “Daybreak” to counter AI-built zero-day exploits. We dive into the courtroom drama as Sam Altman takes the stand and Ilya Sutskever reveals he spent a year documenting Altman’s dishonesty. Finally, we cover the systemic risks of deploying AI into Wall Street finance, and new clinical data exposing the dangers of using chatbots for mental health support.

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Important Topics:

• Amazon’s Fake AI Productivity: Amazon employees are caught gaming the “MeshClaw” tool to artificially inflate their AI token usage and satisfy management quotas.

• OpenAI Launches Daybreak: OpenAI rolls out a specialized cybersecurity model designed to help organizations find and patch vulnerabilities, rivaling Anthropic’s Mythos.

• The Altman Megatrial: Sam Altman takes the stand in federal court, while Ilya Sutskever testifies he spent a year documenting Altman’s deceptive behavior.

• Meta Sued Over Scam Ads: Santa Clara County sues Meta, alleging the company intentionally relaxed safety guardrails to pocket up to $7 billion annually from scam advertisements.

  

• AI on Wall Street: OpenAI, Anthropic, and Perplexity launch dedicated financial agents, raising concerns about market volatility if all analysts rely on identical models.

• Chatbot Mental Health Risks: A clinical study by Mpathic reveals that while AI handles explicit suicide risks well, it dangerously fails to catch subtle signs of eating disorders and emotional distress.

• Thinking Machines Lab (TML): Mira Murati’s new lab introduces “interaction models” designed to process voice, video, and text in a live, streaming loop without turn-taking pauses.

• Apple’s iOS 27 AI Reboot: Apple prepares to allow third-party AI models (like Gemini) to run deep within iOS 27, signaling a massive shift at the upcoming WWDC.

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⚗️ PRODUCTION NOTE: We Practice What We Preach.

AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow.

OpenAI launches Daybreak to rival Anthropic Mythos

• OpenAI has rolled out Daybreak, a cybersecurity project built to compete with Anthropic’s Mythos and Project Glasswing by helping organizations find and patch vulnerabilities while making software more secure from the earliest stages of development.

• Daybreak lets organizations apply OpenAI’s Codex Security to their own repository through an agentic harness, which seeks out, analyzes, and patches attack paths, with high-priority vulnerabilities validated in a secure, isolated environment.

• The project ships with three models: GPT-5.5 for general-purpose work, GPT-5.5 with Trusted Access for Cyber for defensive security workflows, and GPT-5.5-Cyber for specialized workflows including red teaming and pen testing.

Meta accused of earning billions from scam ads

• Santa Clara County sued Meta on Monday, accusing the company of pocketing billions of dollars from scam ads on Facebook and Instagram while failing to stop fraudulent activity across its platforms at scale.

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• The complaint, leaning on leaked internal documents reported by Reuters, claims Meta earned up to $7 billion a year from “high-risk” ads and built internal “guardrails” that limited enforcement when it threatened advertising revenue.

• The county also alleges Meta’s systems pushed scam ads toward users who clicked suspicious promotions, let intermediaries sell protected ad accounts to bad actors, and could even adjust scam ad volumes to hit revenue targets.

Amazon launches 30-minute delivery in US

• Amazon has rolled out “Amazon Now,” a 30-minute delivery service now live in Atlanta, Dallas-Fort Worth, Philadelphia, and Seattle, with plans to expand to Austin, Denver, Houston, Phoenix, and several other US cities soon.

• The service covers fresh groceries, household essentials, healthcare items, electronics, and alcohol where permitted, with eligible products marked by “30-minute delivery” banners on the Amazon app and website around the clock in most areas.

• Prime members pay $3.99 per order versus $13.99 for non-members, plus a small order fee of $1.99 or $3.99 on orders under $15, with smaller fulfillment hubs placed near homes and workplaces to shorten travel distances.

Sutskever spent a year documenting Altman dishonesty

• Former OpenAI chief scientist Ilya Sutskever testified Monday in Elon Musk’s trial against OpenAI and Microsoft that he spent a year gathering evidence of Sam Altman’s alleged deception, even helping draft a memo to the board before Altman’s brief 2023 firing.

• Sutskever revealed an ownership stake in OpenAI’s for-profit arm worth roughly $7 billion, making him one of the largest known individual shareholders, while OpenAI president Greg Brockman acknowledged earlier in the trial that his shares are worth around $30 billion.

• Sutskever also helped OpenAI’s defense by saying Musk never negotiated special promises when funding the nonprofit, explaining that becoming a for-profit was the consensus way forward because the lab needed “a lot of dollars” to build a computer as big as the human brain.

Amazon pushes employees to maximize AI token usage

• Amazon staff are gaming an internal AI tool called MeshClaw to rack up token usage, building agents that automate pointless tasks just to show managers they are leaning on the technology more often.

• The behavior follows Amazon setting a target for over 80 percent of developers to use AI each week, and the company started tracking AI token consumption on internal leader boards earlier this year.

• Amazon told employees the token statistics would not factor into performance evaluations, but several staff said they believed managers were watching the data, creating what one worker called perverse incentives.

OpenAI vs Elon Musk Trial Enters Its Third Week

Sam Altman took the stand in the OpenAI v. Elon trial this morning. Just as a reminder, here’s what’s at stake, per WSJ:

Musk is suing OpenAI and its leaders, Altman and Greg Brockman, for allegedly manipulating him into giving tens of millions of dollars to a nonprofit organization, only for them to turn the AI lab into a for-profit venture. Musk is also suing Microsoft—OpenAI’s largest investor—for aiding Altman and Brockman in their alleged deception.

A big turning point in the trial was last Wednesday, when former OpenAI CTO Mira Murati and former board member Helen Toner gave testimonies about the events leading up to the November 2023 failed board coup that were critical of Sam Altman’s leadership style and candor.

But last week, OpenAI’s side also began to land some punches on Musk. Earlier testimony from Shivon Zilis and Greg Brockman had already suggested Musk was not just defending a pure nonprofit vision. He had explored scenarios where OpenAI might become part of Tesla, where Altman might help lead Tesla AI, and where Musk could retain deep control. Brockman also testified that Musk supported a for-profit conversion if Musk could control it, including a version tied to raising money for his Mars ambitions.

Yesterday, Microsoft CEO Satya Nadella and OpenAI cofounder Ilya Sutskever took the stand. Satya largely buffed OpenAI’s side, defending Microsoft’s partnership with the company, and saying that Musk never contacted him to complain about the deal violating any agreement Musk had with OpenAI’s nonprofit, despite Musk having Satya’s phone number. Ilya testified that he had spent a year compiling a 50+ page document documenting Sam’s manipulative behavior, but also said he never promised Musk that OpenAI would remain permanently nonprofit. Also it came out in the trial that Sutskever’s stake in OpenAI is probably worth around $7B, which probably complicated how the judge and jury feel about his own motivations.

So the story since Murati is: first, the trial became a referendum on Altman’s trustworthiness; then it became a referendum on whether the 2023 board was brave or incompetent; then Microsoft came in and tried to make itself look like the stabilizing partner. Now Altman has to personally answer the core question hanging over the whole case — whether OpenAI’s evolution was a necessary adaptation to build frontier AI, or a betrayal of the nonprofit mission Musk says he funded.

The trial is expected to conclude this week. You can follow along with Sam’s testimony today at NYT’s liveblog.

AI Lab Secondary Transactions Under Pressure

Yesterday, Anthropic updated a support page that essentially disavowed any secondary share transactions via SPVs and retail investment funds. “Invest at your own risk,” they wrote. “If someone offers you a way to participate, even on an indirect basis, in an investment in Anthropic, assume that it is invalid.”

OpenAI said pretty much the same thing in a new policy post yesterday. Any secondary transaction without OpenAI’s written consent “may result in the invalidation of the underlying equity,” they wrote.

Thinking Machines Drops “Interaction Models”

Mira Murati’s neolab Thinking Machines announced a research preview of interaction models yesterday. The video they released with the launch shows the models’ capabilities: they’re meant to speak and interact with you in real-time through voice, and respond to and recognize cues in your visual environment through a camera.

The main philosophy behind these models is that frontier AI has generally deprioritized a ‘realistic’ experience interacting with AI. Instead, people prompt AI and their agents in back and forth interactions, and by queuing them up with tasks, then leave the agent to complete the project on its own. By contrast:

We think interactivity should scale alongside intelligence; the way we work with AI should not be treated as an afterthought. Interaction models let people collaborate with AI the way we naturally collaborate with each other—they continuously take in audio, video, and text, and think, respond, and act in real time.

Mira’s announcement post explains a bit more behind her thinking.

Apple’s AI reboot at WWDC is bigger than Siri

Apple Intelligence is preparing for its big reboot, and there’s a lot at stake for the two billion Apple users worldwide.

While Apple has taken it on the chin for not delivering a revamped Siri or the full suite of Apple Intelligence features it promised two summers ago at WWDC 2024, there’s still a clear opportunity for Apple to play a key part in the global spread of AI in the years ahead. And come June 8 at the company’s WWDC keynote, we’ll learn how big of an AI leap the company intends to take.

Only about 16% of the global population uses AI today, which means there’s still plenty of room for Apple to play a part, especially since it makes the devices that many people will use to access AI tools. But to get the next wave of people involved in AI, devices and services need to be easier to use and less expensive. Apple isn’t likely to help with the affordability side of the equation, but it can certainly play a key role in making the technology easier to use. And once Apple figures out an easier path, the cheaper alternatives tend to copy it.

We’ll learn the details of Apple’s new vision for AI on the iPhone and other devices at the June 8 keynote of its annual WWDC event. The features will roll out in beta this summer and will officially land on the iPhone and other Apple gear in software updates this fall.

The two big moves to watch are:

• Gemini-powered Siri: While most Apple users have written off using Siri for AI-related tasks, it’s about to get a widely discussed brain transplant in iOS 27, powered by Google Gemini. The tersely worded statements from Apple and Google make it sound as though Siri will now use Gemini models under the hood, but the entire user experience will be crafted by Apple. That could include a new standalone Siri app and chatbot functionality to compete with ChatGPT, Claude, Perplexity, and others. All of these apps continue to pile in more and more features. Let’s see what Apple offers to simplify the AI experience.

• A new AI section in the App Store: Apple is also reportedly planning to launch a dedicated AI “Extensions” feature inside the App Store. According to Bloomberg’s Mark Gurman, this will allow Apple users to download features such as agents and other AI tools from frontier labs and software developers and integrate them into Siri. The motivation here could be to make Siri an AI superapp that can pull in your favorite AI features from any AI developer and integrate them more smoothly into your phone or laptop.

The features will roll out in beta this summer and will officially land on the iPhone and other Apple gear in software updates this fall.

Why AI makes a convenient layoff scapegoat

It’s still unclear whether AI can do the work of white-collar employees. People are losing their jobs anyway.

A recent report from Challenger, Gray and Christmas found that more than a quarter of layoffs in April were attributable to AI, with more than 21,000 cuts announced. AI was used as the leading rationale for job cuts for the second month in a row, according to the report.

“Regardless of whether individual jobs are being replaced by AI, the money for those roles is,” Andy Challenger, workplace expert and chief revenue officer for the company, said in the report.

However, one White House official is challenging that narrative: On Monday, National Economic Council Director Kevin Hassett told CNBC that there is “no sign in the data” that AI has cost anyone their job just yet. Hassett said that companies that adopt AI tend to see “rapid revenue growth” and a bump in employment.

“We are studying the future of AI and what it means for the workforce, so we’ve got a big task force on that,” Hassett told CNBC.

These contradictory reports add to a mountain of warring data on the effects of AI on how people work. An MIT study suggests that more than 11% of work hours in the US can already be automated. A Gartner forecast finds that 50% of those laid off due to AI will be rehired. Meanwhile, a Harvard study found that AI actually increases the hours and scope of work, rather than reducing them.

In the meantime, the layoff toll continues to grow higher. Tech firms like Block, Atlassian, Meta, Oracle, Amazon and more have slashed thousands of employees in recent months as they ramp up spending and reorganize their workforces.

These cuts are likely to continue. A survey of thousands of C-suite executives from AI agent platform Writer in April found that 60% of enterprises intend to lay off employees who can’t or won’t use AI.

TML’s new interaction models for real-time AI

Image source: Thinking Machines Lab

The Rundown: Thinking Machines Lab (TML) just introduced a research preview of interaction models, a new kind of AI system built to collaborate live across voice, video, and text — letting users talk, show, interrupt, and steer while the system keeps working.

The details:

• The model takes in voice, video, and text in 200ms chunks, perceiving and responding in a streaming loop without the turn-taking pauses of other rivals.

• A second background model handles slower reasoning, searches, and tool work, allowing the live model to keep talking and interacting with the user.

• The system can also react to visual changes, count reps, translate live speech, and speak up at timed moments instead of waiting.

• CEO Mira Murati said TML is focused on advancing human-AI collaboration, and that “the way we work with AI matters as much as how smart it is.”

Why it matters: Murati’s TML has been fairly quiet since its inception, but interaction models are one of the lab’s first big differentiators: models designed around how people naturally work together, not how long an agent can run solo. Whether it carves out its own market or gets absorbed by a frontier lab’s next update is the question now.

Google traces software attack back to AI

Image source: Google

The Rundown: Google’s Threat Intelligence Group confirmed the first known case of hackers using AI to discover and write a zero-day software security flaw, catching them before they could break past login protections on a widely-used web management tool.

The details:

• The hack was intended to allow the user to get around two-factor authorization on the affected app, with Google working with the company to stop the attack.

• Google pointed to unusually polished attack code, long explainer notes, and a made-up severity score as clues that the exploit was written with an AI.

• GTIG’s John Hultquist called the find “the tip of the iceberg,” with Anthropic’s Rob Bair warning cybersecurity defenders’ lead is “months, not years.”

• GTIG detailed other hacks, including software that lets AI remotely control a device, and AI-assisted malicious prompts and code from N. Korea and Russia.

Why it matters: We’ve already started to see what Anthropic’s Mythos can do on the cybersecurity front, but attackers aren’t too far off from having similar power. Even with careful rollouts, the next step up the release ladder is about to open the door to some serious security issues that will cause chaos for the many systems not ready for it.

Anthropic fixes Claude’s blackmail problems

Image source: Anthropic

The Rundown: Anthropic published a study detailing how it fixed Claude’s previously seen blackmail behavior, highlighting the need to teach the model “why” and tracing the problem to internet fiction that depicts AI as power-seeking and self-preserving.

The details:

• Earlier tests put Claude models in fictional workplace situations, with older systems resorting to blackmail and threats to avoid shutdown.

• Having Claude reason through ethical choices, not just copy the safe action, cut blackmail rates from 96% in Opus 4 to nearly 0% for every model after.

• Fictional stories of well-behaved AI and constitution-based documents also helped reduce bad behavior by more than 3x.

• Just 3M tokens of ethical reasoning data matched 85M tokens of behavioral examples, a 28x efficiency gain that held up in deeper training.

Why it matters: AI is still far from an exact science, and eliminating blackmail via essentially positive AI stories and constitution docs is another one of the many strange training quirks. A small dataset of ethical fiction outperforming 28x the behavioral data shows how much of alignment is still guesswork, even when the guesses work.

Chatbots still pose mental health risksBy Ina Fried

Data: Mpathic; Chart: Megan Morrone/Axios

The leading chatbots mostly avoid giving dangerous answers to prompts about suicide, but still struggle when mental health risks show up subtly or unfold over long conversations, according to new research from Seattle-based Mpathic.

Why it matters: People are increasingly turning to AI systems for emotional support in conversations where models can sound supportive while missing serious risk — and where mounting lawsuits and regulatory scrutiny are pushing labs to prove their bots are safe enough.

Driving the news: Mpathic built new clinician-led benchmarks for testing AI systems in high-risk conversations and evaluated six major models on suicide-related and eating disorder-related chats.

• Its suicide benchmark tested models across 300 multi-turn role plays, each 10–15 turns long, designed by 50 licensed clinicians.

• Its eating disorder benchmark tested whether models could detect, interpret and respond to disordered eating signals — including indirect cues framed as dieting, discipline, fitness or health optimization.

What they found: The models generally handled explicit suicide risk better than murkier cases.

• On the suicide benchmark, Anthropic’s Claude Sonnet 4.5 had the highest score across safety and helpfulness, while OpenAI’s GPT-5.2 “stood out for consistently avoiding harmful responses,” Mpathic said.

• The chatbots all fared less well when it came to discussions around eating disorders, missing more subtle but critical clues, Mpathic said.

What they’re saying: “Many of these systems do fairly well when the risk is very explicit,” Mpathic co-founder and chief business officer Danielle Schlosser told Axios. “Almost all the models struggled with more nuanced risk signals.”

• The quality of advice also tends to degrade during extended conversations, said Schlosser, who is also a licensed psychologist.

Reality check: Mpathic is a for-profit company paid to consult with the leading labs to improve model behavior in high-risk human conversations.

How it works: Unlike other evaluations based on a single prompt, Mpathic’s mPACT benchmark measures performance based on longer conversations the chatbot has with trained psychologists.

• Licensed clinicians create test scenarios that include both explicit and subtle expressions of risk.

• Mpathic then evaluates the responses for helpful and harmful behaviors and assesses the models on how well they detect and interpret issues and the quality of their response.

Zoom out: The findings land as AI companies face growing pressure over chatbot safety.

• The FTC opened an inquiry into AI companion chatbots in 2025, asking companies including OpenAI, Meta, Alphabet, Character.AI, Snap and xAI about child and teen safety practices.

• Families of teens who died by suicide after chatbot interactions testified before Congress in 2025.

• Pennsylvania recently sued Character.AI, alleging some of its bots falsely presented themselves as licensed medical professionals.

Between the lines: One of the challenges comes in how AI models are trained. “In the spirit of trying to be helpful, the model usually wants to agree with the user,” Schlosser said.

• But that gets problematic when a person’s goal could harm them, such as someone who requests help planning a 500-calorie-per-day diet, for example.

• “Most people don’t say ‘I’m at risk’ directly — they demonstrate it through subtle behaviors over time that are obvious to human clinicians,” Mpathic CEO Grin Lord said in a statement.

What we’re watching: The models are getting better at handling obvious crises, but the tougher problem is whether they can stop being agreeable when a user’s goal is dangerous.

What Else Happened in AI on May 12th 2026?

OpenAI launched “The Deployment Company”, a $14B business to embed engineers inside enterprises to deploy its AI, also acquiring AI consulting firm Tomoro.

SoftBank’s Masayoshi Son is reportedly in talks for a $100B AI investment into France, with plans to build out new data centers in the country.

Anthropic reportedly signed a 7-year, $1.8B cloud infrastructure deal with Akamai, adding another compute avenue to power its Claude models.

China’s Kuaishou Technology is reportedly planning to turn its Kling AI video branch into its own company, with a projected valuation of $20B and plans to IPO in 2027.

Former OpenAI Chief Scientist Ilya Sutskever testified in the Elon Musk vs. OpenAI lawsuit, revealing his current shares of the company total nearly $7B.

AI godfather warns humanity risks extinction by hyperintelligent machines with their own ‘preservation goals’ within 10 years. LINK

Bill to criminalize AI sexual deepfakes will include ‘nearly nude’ images. LINK

ICE Agents Have List of 20 Million People on Their iPhones Thanks to Palantir. LINK

Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’. LINK

Thinking Machines releases interaction models

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Isomorphic Labs raises $2.1B in Series B funding led by Thrive Capital

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NY Post: Arcadia mayor Eileen Wang admits acting as Chinese spy, running fake news website with ex-lover in shocking plea deal

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