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SpaceX filed to go public, and the S-1 reveals the orbital AI compute moonshot now has a date, a scale, and a visible funding source: Starlink subscriptions and an AI segment that is losing billions.

Three months after an investor called Macron a 'clown' over a €30 million AI grant, a French-led consortium is bidding €10 billion for EU gigafactory funds. The AION project would deploy 288,000 GPUs at up to a gigawatt, with EDF's nuclear fleet as the differentiator. It is still dwarfed by US capex, but the checks are real now.

Google led I/O 2026 with a cheap, fast model that is no longer cheap. On the same day, Andrej Karpathy joined Anthropic's pre-training team. The two facts describe which layer of the AI market is consolidating and which one is still a fight.

Within roughly 24 hours, OpenAI proposed a US-led global AI governance body that would include China, and Anthropic published a policy paper urging tighter chip controls and export restrictions against China. Both releases were timed around the Trump-Xi summit in Beijing. Each company's proposal aligns neatly with its commercial topology.

The UK AI Security Institute tested a newer Mythos Preview checkpoint and found it solved one cyber range in 6 of 10 attempts (up from 3) and a previously unsolved second range in 3 of 10. AISI's own framing flags the obvious problem: model capabilities can jump materially between checkpoints, which complicates every pre-deployment evaluation regime currently being drafted.

The Wall Street Journal reported that Google is in talks with SpaceX to build data centers in orbit. Google has been researching space-based compute since November of last year under a project called Suncatcher. Neither company is confirming anything, but the underlying physics argument is genuine, the SpaceX IPO context is interesting, and nobody has answered the jurisdiction question yet.

Arm shipped its first-ever chip in March and accumulated $20 billion in customer demand in six weeks. Manufacturing capacity is secured for $1 billion of it. The story of a company that made the right architectural bet for the agentic era and then ran headlong into the TSMC queue.

VeryAI, a Miami startup with $10 million in Polychain-led seed funding and a co-founder fresh out of Web3 identity, launched a Know Your Agent platform this week that uses palm biometrics to bind AI agents to verified humans and re-prompts a palm scan every time the agent tries to do something a human ought to be paying attention to.

Anthropic announced a deal for the entirety of compute capacity at SpaceX-owned xAI’s Colossus 1 supercomputer in Memphis, plus a footnote about jointly developing multiple gigawatts of compute capacity in orbit. The deal lands in the middle of week two of Elon Musk’s federal trial against Sam Altman.

NIST signed pre-deployment evaluation agreements with Google DeepMind, Microsoft, and xAI, joining existing deals with OpenAI and Anthropic. The Trump administration is reportedly drafting an executive order to formalize what is currently a voluntary regime. The structural question, which current coverage has mostly stepped past, is whether a pre-market gate that only covers closed-weight labs can hold.

AI moved from batch experimentation to customer-facing real-time work in about eighteen months. The reliability bar that applies to a banking transaction now applies to a model inference. The operational discipline behind enterprise AI is catching up.

Panthalassa raised $140 million from Peter Thiel and friends to put AI inference compute on floating platforms powered by ocean waves. The pitch is that wave power is cheap and abundant, and that inference workloads are forgiving enough to make the rest of the engineering trade-offs worth it.