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SpaceX priced its historic IPO at $135 per share today, raising $75 billion at a $1.77 trillion valuation — the largest initial public offering in recorded history, drawing over $250 billion in investor demand. The company's AI1 orbital compute satellite and its $920 million/month data center deal with Google are central to the growth story. Trading begins on Nasdaq under ticker SPCX on Friday, June 12.
DeepSeek has made its 75% discount on V4 Pro permanent — rates now run $0.003625 to $0.87 per million tokens, undercutting every major Western competitor at scale. The company credits Huawei Ascend 950 hardware for making the economics sustainable, removing reliance on Nvidia and locking in a structural cost advantage. Every premium-priced Western API just got harder to justify.
Coinbase launched Coinbase for Agents today, letting AI assistants including Claude and ChatGPT trade crypto spot and derivatives, execute multi-day autonomous strategies, and pay for paywalled research using the x402 machine-to-machine payment standard. Agents can be sandboxed from main account holdings. Equities and prediction markets are coming. The era of AI with a wallet and a trading desk is officially open.
OpenAI and Oracle announced today that enterprise customers can route existing Oracle Universal Credits toward OpenAI frontier models and Codex, eliminating the need to open new procurement channels. The integration builds on the Stargate infrastructure partnership and targets Oracle's massive installed base of Fortune 500 customers sitting on underdeployed cloud commitments. General availability expected within weeks.
Munich's Regional Court I issued an injunction today declaring Google's AI Overviews constitute Google's own speech — not search results — making the company directly liable for defamatory or fabricated claims they generate. The case involved AI summaries that falsely linked two publishers to scams the actual cited sources never mentioned. Google's argument that users must fact-check AI outputs themselves was rejected outright. This is a preliminary ruling, but it's the first court to draw this line.
Anthropic told investors its annualized revenue run rate crossed $47 billion in May 2026, representing a 345-fold increase in 27 months and more than doubling OpenAI's last publicly reported pace. The company expects to surpass $50 billion annualized by end of June and is disclosing the figures as part of its pre-IPO process. Neither figure is yet audited, but the trajectory is unlike anything in software history.
The Information reported today that Anthropic has signed more than a dozen letters of intent for US data center leases totaling over 1 gigawatt of capacity, with Google providing payment guarantees that underpin a $35 billion private credit facility from Apollo and Blackstone. One Texas campus alone spans 2,800 acres with a potential buildout to 7.7 gigawatts. Anthropic isn't just filing for an IPO — it's building the physical infrastructure to run what comes after Claude Mythos.
Governor Hochul signed the Responsible AI Safety and Education Act into law, making New York the first US state to require frontier AI developers to publish safety protocols and report serious incidents within 72 hours. The law targets models capable of assisting with bioweapons or large-scale automated criminal activity, creates an oversight office inside the Department of Financial Services, and takes effect January 1, 2027.
SpaceX detailed the AI1 orbital compute satellite ahead of its IPO: 70-meter deployed wingspan, 120 kW average and 150 kW peak AI compute, interchangeable chip-bay design so any chipmaker can supply the hardware, and a liquid radiator thermal system that dumps waste heat into space. A new factory called Gigasat in Bastrop, Texas begins production by end of 2027. The long-term vision: 1 million orbital compute nodes. Whether the economics ever close remains an open question.
Researchers demonstrated that a single optical pulse can flip magnetic memory states without the sustained heat or electrical current current flash and DRAM designs require, opening a potential path to dramatically lower energy consumption in AI accelerators. If the technique scales from lab to fab, it could meaningfully reduce the power bill for inference at data center scale — the industry's fastest-growing infrastructure cost.
