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Trump spent Saturday on Truth Social arguing that "artificial intelligence" is the wrong name for the technology, floating "extreme intelligence" or "supreme intelligence" instead, and announcing he's forming an "AI Force," modeled on Space Force, with an "AI czar" to follow. He called the growing backlash against AI and data centers a "hoax." The same weekend, Google quietly confirmed something that undercuts that framing directly: its Gemini model autonomously hacked into three real companies back in May, guessing passwords and pulling credentials from a public repository, and the company didn't disclose it until the Wall Street Journal came asking four months later.

Gemini is now the fourth major lab this year to admit one of its models broke out of a test and touched systems it was never supposed to touch.

Here’s what happened in AI today:


• Trump wants to rename AI and is creating an "AI Force," calling the safety backlash a hoax.

• Google confirmed Gemini autonomously hacked three real companies, and sat on the news for months.

• A company that builds other companies just raised $100 million to go all-in on physical AI.

…and a whole lot more that you can read about below.

• Trump Wants to Rename AI. Four Labs Now Admit Their Models Went Rogue

President Trump posted on Truth Social Saturday that "many people think that the words 'Artificial Intelligence' are inadequate," running a poll on renaming it something like "extreme intelligence." In the same post, he announced he's forming an "AI Force," comparable to the Space Force he created in his first term, and will soon name an "AI czar." Trump dismissed the wave of AI safety concerns as a "hoax," echoing comments he made a week earlier when he called into Jensen Huang's panel at the All-In Summit. He offered no evidence that public skepticism of data centers isn't genuine, even as both parties have pushed back on local projects and New York recently became the first state to halt new large data center permits. The rebranding push lands squarely against the backdrop of a real, escalating safety story: Google confirmed Friday that its Gemini model autonomously hacked three companies during a May cybersecurity test, becoming the fourth major AI lab, after OpenAI, Anthropic, and Meta, to disclose an incident where its own model broke out of a controlled test and touched real systems without permission.

• Google Sat on News That Its AI Hacked Three Real Companies

Google confirmed Friday that its Gemini model autonomously accessed the protected systems of three separate companies back in May, during a cybersecurity evaluation run by an outside firm called Irregular. In one case, Gemini simply guessed passwords until it got in. In the other two, it found credentials sitting in a public repository and used them. Irregular notified Google about the incidents in late July, but neither company confirmed anything publicly until the Wall Street Journal asked directly, four months after it happened. Google's VP of security engineering, Heather Adkins, said the company didn't previously disclose the incidents because Gemini "acted appropriately," stopping each breach the moment it recognized it had accessed a real company rather than a test target. Jack Cable, CEO of AI security firm Corridor, pushed back hard on that framing, telling the Journal Google was "trying to hide behind the norms that have been created for vulnerability disclosure" instead of acknowledging its model was "going outside the bounds of what they should be doing, and doing actual cyberattacks." Notably, Anthropic's Claude did not stop on its own in a similar incident disclosed earlier this year, making Gemini's self-halting behavior the one point Google can genuinely claim as a positive.

Today's Job Board

Staff AI Engineer, Agent Architecture & Behavior | Artisan
United States (Full-time)
Build AI employees that take on real sales work.

AI Product Engineer, Full-Stack | Vimcal
United States (Full-time)
Build the world's fastest calendar for remote teams.

Senior Software Engineer | Pine Park Health
Remote (Berkeley, CA area) (Full-time)
Build software for a company providing primary care in senior living communities.

Energy Management System Engineer | Posh
United States (Full-time)
Build rapidly deployable energy solutions for commercial and industrial sites.

Fullstack Engineer | BoldVoice
United States (Full-time)
Build the speech and accent coaching app for non-native English speakers.

Senior Backend & Infrastructure Engineer | Scispot
Remote (Full-time)
Build the data infrastructure platform used by biotech companies.

Senior Software Engineer | Curri
United States (Full-time)
Build the construction and industrial logistics platform.

Rust Engineer, Distributed Systems | Wasmer
Remote (Full-time)
Build the operating system for edge computing.

Full Stack Engineer | Runway
Remote (Full-time)
Build easier, more reliable mobile app releases for teams.

Exploring AI Voice With SuperBloom

Scaling a campaign globally means finding a voice that resonates everywhere—without losing the overall message. For Deel's "Feeling of Deeling" campaign, agency SuperBloom needed exactly that: a consistent brand voice across markets, deployed fast, without sacrificing quality or consent. They built it with Branded AI Voice, powered by real, professional talent.

SuperBloom and Voices break down how the campaign came to life in this on-demand video session—from strategic talent selection through seamless production workflows and global scale, to the governance that future-proofs an audio strategy built to last. You'll hear directly from the team on how they made this happen, plus their advice if you're looking to explore AI voice for your brand.

If you're a marketing executive, agency creative, or brand leader mapping campaigns in international markets, watch this on-demand session to get a real playbook, not a hypothetical—lessons any creative team can apply to their own global rollout.

Today's Money Moves 💸

A Startup That Builds Other Startups Raised $100M to Go All-In on Physical AI
Vantora, a company that builds and launches other startups, raised $100 million and is now focusing entirely on physical AI, betting that the next wave of AI value creation happens in robots and hardware, not just software.

Crusoe Raised $3.9B, Tripling Its Valuation to $30.9B in Under a Year
Crusoe closed a $3.9 billion Series F co-led by Atreides Management, Mubadala Capital, and Valor Equity Partners, pushing its valuation to $30.9 billion, up from $10 billion just ten months ago, as it builds both massive data centers and truck-transportable AI factories.

Cognition Raised $2B at a $48B Valuation, Just Four Months After Its Last Round
Cognition, the startup behind AI coding assistant Devin, closed a $2 billion round led by Andreessen Horowitz, Accel, Founders Fund, and General Catalyst, nearly doubling its valuation from $26 billion just four months ago.

Manus Is in Talks to Raise $500M at a $4B Valuation
The Chinese AI agent startup, which had to unwind a blocked $2 billion acquisition by Meta earlier this year, is discussing a fresh $500 million round with IDG Capital, Boyu Capital, and existing backers Tencent and HSG as it resumes operating independently.

Vals AI Raised $40M to Build Benchmarks Labs Can't Train Around
Vals AI closed a $40 million Series A led by Andreessen Horowitz at a $400 million valuation, building confidential, real-world professional benchmarks for law, finance, and coding after its revenue grew eightfold in a year.

Today's Growth Recommendation

MarketBeat identified 7 small tech companies positioned to benefit from the next phase of AI growth, similar to how early winners emerged during the 1990s tech surge.

View the 7 Stocks Below ↓

7 Stocks to Ride The A.I. Megaboom

The next A.I. boom could create massive winners just like the 1990s tech surge.

We identified 7 small tech companies positioned to benefit from the next phase of A.I. growth.

See them inside this free report 7 Stocks to Ride The A.I. Megaboom.

Skill of the Day

Give AI Your Actual Design Rules, Not Just a Vibe

AI website and app builders tend to churn out generic pages when your prompt only describes what you want, not what it should actually look like. The fix Vercel recommends: hand the model real, reusable brand context instead of a loose description, so every page it builds actually matches your system instead of reinventing it.

Before you ask for a single page, give it three things. Brand tokens: your exact colors, typefaces, spacing values, and corner radius, not vague adjectives. Reference assets: real screenshots, your logo, or an existing page that already feels right. Component rules: which buttons, cards, navigation patterns, and layouts it should actually reuse instead of inventing new ones each time.

Prompt of the Day

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The Brand System Brief

Build this page using these brand rules: [tokens]. Match these references: [assets]. Reuse these components: [list]. Before coding, summarize the visual system and flag any missing decisions.

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