Welcome back! Europe has no answer to America's top AI labs, so Austria asked the EU to import one and floated relocating Anthropic. Elon Musk says Grok 4.5 is catching Claude on his birthday, then walked the brag back nine hours later. Google is so short on compute it's rationing Gemini to its own rival Meta, and one in three employers admit they're handing entry-level jobs to AI.
In today's Generative AI Newsletter:
Anthropic: Why is Austria trying to move an American AI lab to Europe?
Grok: What did Musk announce on his birthday?
AI Drama: Who's so short on compute they're rationing Gemini to Meta?
Jobs: What happens to the career ladder when AI takes the first rung?
Europe has no frontier AI lab of its own, so this week it tried to poach one. Austria's digital secretary Alexander Pröll wrote to the EU urging it to bring Anthropic inside the bloc, offering "legal certainty, market access, capital and a set of values that suits this company."
The pitch comes barely two weeks after Washington cut every foreigner on earth off from Fable 5 and Mythos 5, Anthropic's two strongest models, citing national security.
It won't work, and Pröll half-knows it, conceding there would be skepticism about whether it's even possible. Anthropic is mid-build on $50 billion of Amazon-backed data centers in Texas and New York, and you can't import your way out of an export order.
A year ago AI was a product you bought. Now it's national infrastructure, and Europe just learned the on-off switch sits in Washington.
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Elon Musk says his new model is catching Anthropic's best.
Grok 4.5 entered private beta at SpaceX and Tesla this week, and Musk posted that early evals put it "close to, perhaps exceeding Opus."
It runs on a fresh 1.5-trillion-parameter foundation trained partly on Cursor, the AI coding tool SpaceX bought for $60 billion two weeks ago.
Then, nine hours later, he walked it back to "the same league as Opus."
These are Musk's own evals from a closed beta with no public access and no third-party benchmark, dropped on his birthday into a reply feed of fans and a tortoise-versus-hare meme about xAI winning slow.
The Cursor data is the real substance, since training on how developers actually write and debug is the shortest path to Opus-class coding.
Until a lab he doesn't own runs the numbers, "beats Opus" is a birthday post.
Google told its rival Meta it's out of Gemini. The Financial Times reports Google has capped how much Gemini Meta can buy, after warning Meta back in March it couldn't supply the capacity it wanted.
Meta builds its own Llama models and was buying Gemini anyway, because Gemini beat Llama on safety and moderation work.
Compute is the wall everyone is hitting.
Google is spending more than $180 billion this year and still can't meet demand, so this month it agreed to rent roughly 110,000 Nvidia chips from Elon Musk's xAI for about $920 million a month to keep Gemini fed.
Meta's fix was to tell staff to burn fewer tokens.
The company sitting on one of the planet's biggest server farms is renting GPUs from a rocket maker. Every smaller AI buyer is bidding for the same scarce compute.
The first rung of the career ladder is being automated away.
One in three employers now say they're replacing entry-level roles with AI, according to a new survey of more than 620 corporate recruiters by GMAC, over half of them hiring for Fortune 500 firms.
In tech it's 40%, the highest of any industry.
The entry-level tasks getting cut, coding, data processing and support tickets, are the exact work that used to turn a junior into a senior.
Employers still rank human judgment, communication and problem-solving as their top hiring priorities, the skills those starter jobs built.
So the ladder loses its bottom rung, and new grads are told to climb anyway.
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DeepSeek made its own model run up to 85% faster: Its new open-source DSpark trick speeds DeepSeek V4 by 60 to 85% per user with no loss in quality.
OpenAI poached Uber's India chief to run India: Prabhjeet Singh, who ran Uber across India and South Asia, takes over as OpenAI's India MD in September, its second-biggest market at over 100 million weekly users.
The investor who called the 2007 top says AI stocks are a "super bubble": China's Yang Dong wrote the "collapse point may not be far away" and some hot names are "very likely" to fall over 80%, while a second fund manager said "the trigger has already appeared."
OpenAI previewed GPT-5.6 in three sizes: Sol for the hardest problems, Terra for everyday work at half the price of GPT-5.5 and Luna for cheap high-volume jobs, though it's still a limited preview.
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