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The Week AI Got Political, Personal, and Cheap

AI on trial

OpenAI raised $10 billion. Anthropic raised $1.5 billion. DeepSeek undercut everyone on price. And somewhere in a California courtroom, Elon Musk told a jury that AI could kill us all. Just another Monday in tech.

The Week AI Got Political, Personal, and Cheap — Your May 4th Roundup
MUSK VS. ALTMAN TRIAL ENTERS NEW WEEK GOOGLE SIGNS PENTAGON AI CONTRACT — 600 EMPLOYEES REVOLT OPENAI RAISES $10B FOR NEW “DEPLOYMENT COMPANY” ANTHROPIC CLOSING $1.5B WITH BLACKSTONE & GOLDMAN IBM: 48% OF OPERATIONAL DECISIONS MADE BY AI BY 2030 4 CHINESE LABS DROP CODING MODELS IN 12 DAYS MUSK VS. ALTMAN TRIAL ENTERS NEW WEEK GOOGLE SIGNS PENTAGON AI CONTRACT — 600 EMPLOYEES REVOLT OPENAI RAISES $10B FOR NEW “DEPLOYMENT COMPANY” ANTHROPIC CLOSING $1.5B WITH BLACKSTONE & GOLDMAN IBM: 48% OF OPERATIONAL DECISIONS MADE BY AI BY 2030 4 CHINESE LABS DROP CODING MODELS IN 12 DAYS
AI Daily Roundup
Monday, May 4, 2026
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Everything that moved in AI today
Daily Edition
Vol. MMXXVI · No. 124
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Models
Business
Policy
Research
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Law & Drama

The Trial That’s Really About What AI Is Allowed to Become

Musk and Altman are finally in the same room. What’s playing out in Oakland isn’t just a lawsuit — it’s a battle over who gets to define AI’s soul.

The Musk vs. OpenAI trial rolled into its second week in Oakland this morning, and it’s already delivered more drama than most legal proceedings see in a year. Musk took the stand last week and testified that OpenAI’s technology “could kill us all” — then, in the same breath, the same man is backing AI defense contracts through his own xAI. Federal Judge Yvonne Gonzalez Rogers had stern words for Musk during cross-examination, and OpenAI’s lead attorney William Savitt boiled the whole case down to a line that landed hard: “We are here because Mr. Musk didn’t get his way at OpenAI.”

The core legal question is whether OpenAI’s conversion from nonprofit to for-profit violated a charitable trust. But underneath that is a bigger fight: when Musk co-founded OpenAI in 2015, he envisioned it as a counterweight to Google’s AI ambitions. Now Google, OpenAI, and xAI are all racing to sign Pentagon contracts. The idealism is gone. The money is very much here.

Days before the trial opened, Musk texted Greg Brockman seeking to settle. Brockman and Altman declined. Musk reportedly said they “will be the most hated men in America.” The jury is still deliberating on what to make of that.

“We are here because Mr. Musk didn’t get his way at OpenAI. He quit, saying they would fail for sure. But my clients had the nerve to go on and succeed without him.” — OpenAI attorney William Savitt
$10B
OpenAI deployment JV raise
$1.5B
Anthropic–Blackstone deal
600
Google employees vs. Pentagon
48%
AI decisions by 2030 (IBM)
Business

OpenAI’s $10 Billion PE Play

The Deployment Company isn’t a model — it’s Wall Street’s on-ramp to AI.

OpenAI has raised over $4 billion at a $10 billion pre-money valuation for a new joint venture called The Deployment Company — a vehicle designed to embed OpenAI tools directly into enterprise businesses. The round pulled in 19 private equity firms. This is OpenAI’s clearest signal yet that the future isn’t consumer chatbots — it’s owning the AI layer inside every major corporation.

Meanwhile, Anthropic is closing its own $1.5 billion JV with Blackstone, Goldman Sachs, and Hellman & Friedman to sell AI services to PE-backed portfolio companies. Same week. Same playbook. Different logos.

Read OpenAI’s full announcement →
Policy

Google Gives the Pentagon What It Wants. Employees Push Back.

Eight years after Project Maven, Google is back in the military AI business — and this time, leadership isn’t budging.

Google has agreed to allow its Gemini models to be used inside US military classified networks for “any lawful purpose,” joining OpenAI and xAI in the Pentagon’s AI stack. Nearly 600 Google employees signed an open letter opposing the deal. Their leverage, analysts say, is considerably weaker than in 2018 — tech layoffs and the AI investment arms race have shifted power decisively toward management.

The contrast with the Maven era is stark. Then, employee revolt killed the contract. Now, Google has reportedly dismantled the internal communication channels that made organizing possible in the first place.

Read the Fortune report →
1
A new IBM Institute for Business Value study of 2,000 CEOs finds that executives expect AI to handle 48% of operational decisions without human review by 2030, up from 25% today. Nearly two-thirds say they’re already comfortable making major strategic calls based on AI-generated input. The kicker: only 25% of the workforce currently uses AI regularly on the job — despite 86% of those same CEOs believing their employees have the skills to do it.
2
Z.ai’s GLM-5.1, MiniMax M2.7, Moonshot’s Kimi K2.6, and DeepSeek V4 all dropped inside a 12-day window — landing at roughly the same capability ceiling for agentic engineering as Western frontier models, at less than a third of the inference cost. Kimi K2.6 reportedly beat Claude Sonnet 4.6, GPT-5.5, and Gemini 3.1 in a live programming challenge. The Chinese AI sprint is no longer theoretical.
3
According to the latest State of AI report from Air Street Press, frontier AI has crossed what researchers are calling “the rubicon into offensive cyber operations.” NIST’s new CAISI evaluation framework introduced a nuanced benchmark: on aggregate cross-domain capability, DeepSeek V4 still lags leading US frontier models by roughly eight months. That gap is closing faster than anyone expected.
4
Nvidia CEO Jensen Huang declared this week that the company has fallen to zero percent AI market share in China, calling US chip export restrictions “already largely backfired.” The comment lands as DeepSeek V4 demonstrates that Chinese labs have pivoted to Huawei and Cambricon chips with surprising effectiveness. What was meant to slow China’s AI development may have accelerated its hardware independence.
5
Major banks JPMorgan and Morgan Stanley are actively seeking ways to pass on growing credit risks from AI data center construction to other investors. The buildout is devouring billions in borrowed capital, and the financial sector is starting to sweat the exposure. The infrastructure boom has a price tag — and Wall Street is working out who actually holds the bill.
6
UBC and Vector Institute released ClawBench — 153 tasks across 144 live production websites including purchases, bookings, and job applications. Claude Sonnet 4.6 topped the leaderboard at 33.3%, the highest score of any frontier model. The benchmark is notable because it runs on real websites with real consequences, not sandboxes — making it one of the most credible agentic evaluations to date.
The One Thing to Remember Today
Whether it’s Musk and Altman fighting over AI’s soul in a courtroom, Google signing military contracts over employee objections, or Chinese labs racing to match Western models at a third of the cost — today’s AI news all points to the same underlying tension: the technology has outrun the frameworks we built to govern it. Every major story this week is about who gets to set the new rules. Nobody agrees yet.
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