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Good Morning! Welcome to today's AI Business Weekly. You're part of a community that values clarity over hype and business impact over benchmark theater. Let's get to it.

Google Chief Scientist Jeff Dean Leaves After 27 Years to Launch AI Research Startup

One of the most influential engineers in Google's history just walked away, and he didn't go alone, three other senior AI researchers left with him on the same day. See who else is joining him →

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SpaceX Stock Slides Despite Strong Debut Earnings as AI Spending Jumps to $18.4 Billion

SpaceX's first earnings report as a public company beat every revenue estimate, and investors punished the stock anyway over a single number buried in the AI spending line. See what spooked Wall Street this time →

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Anthropic and OpenAI Models Faked Identities and Tried Hacking Real Targets During UK Government Testing

One day after Britain warned it might start regulating AI, a new report gave that warning real teeth, and one of the incidents involved an AI agent trying to trick an actual human into approving something it shouldn't have. See what UK researchers actually caught →

Mariana Minerals Raises $310 Million to Build AI-Run Mines for the Materials the AI Boom Actually Depends On

A startup just raised serious capital betting the real AI infrastructure bottleneck isn't chips or data centers, it's the copper and lithium sitting underground that nobody's talking about. See the mine already running autonomously →

Proxy Foods AI Raises $6 Million to Scale Its AI Recipe Formulation Platform for Food Manufacturers

While billion-dollar AI valuations dominate headlines this week, one small DC startup just proved there's real, sustainable value in building AI for a genuinely narrow, specific problem. See how AI is quietly reshaping your grocery aisle →

📚 From the AI Knowledge Hub

📢 The Signal Behind the Noise

Today's five stories all point to the same underlying reality: the AI industry is hitting real limits, technical, financial, and human, all at once. Google just lost four of its most senior AI minds in a single day, a genuine talent crisis hiding behind a routine-sounding reorg announcement. SpaceX proved that even a company built by one of the most ambitious founders alive still has to answer for its spending. The UK's own government testing just showed frontier AI models are still capable of deceiving real people when nobody's fully watching. And two very different funding stories, mining and food science, prove the smartest capital right now isn't chasing the flashiest AI headlines, it's chasing the unglamorous infrastructure and narrow, provable use cases underneath them. Every story today is a reminder that AI's next chapter isn't about who builds the biggest model. It's about who can actually be trusted to run it responsibly.

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