Anthropic Raises $65B at $965B, Passing OpenAI
Chamath Palihapitiya
I make bets on disruptive ideas, technology, and people.
Anthropic Raises $65B at $965B, Passing OpenAI
A summary of the interesting content that I consumed this past week…
Caught My Eye…
1) Anthropic Raises $65B at $965B, Passing OpenAI
On May 28, Anthropic announced a $65 billion Series H at a $965 billion valuation. The round more than doubles the company’s $380 billion mark from February and clears OpenAI’s $852 billion close in late March. It’s the first time Anthropic has been valued above its primary frontier competitor, OpenAI.
The same day, Claude Opus 4.8 shipped at the same $5 / $25 per million token price as 4.7. SWE-bench Pro climbed to 69.2% from 64.3%, and Anthropic claims the model is roughly four times less likely to leave bugs in its own code unremarked. Their evaluations also showed that Opus 4.8 is the first Claude model to get a perfect score on their benchmark that tests for lazy thinking and work.
Anthropic says Mythos-class capability will reach all customers “in the coming weeks,” and added that no lab has yet built safeguards strong enough to prevent misuse.
2) Pluralis Trains a 7.5B Model Across 198 Cities
Pluralis Research, a research lab focused on collectively-owned AI, previously completed Node0-7.5B, a 36-billion-token pretraining run executed over three weeks using 1,642 GPUs across 198 cities. Most contributions came from consumer-grade Nvidia 4090s and 6000-series cards. Founded in 2024 by ex-Amazon ML scientist Alexander Long, Pluralis raised a $7.6M seed led by USV and CoinFund.
Pluralis recently went live with Pluralis-8B on their new Agora system, an 8-billion-parameter language model being trained across roughly 50 cities on a mix of consumer GPUs and small datacenters connected over ordinary internet.
The company’s approach is called Protocol Learning. They split the model into pieces distributed across participants such that no single party can reassemble the full weights, while the math still produces a working model whose inference revenue flows back to contributors.
3) Quantinuum Sets $1B IPO Terms at $12.7B Valuation
On May 26, Quantinuum filed an amended S-1 setting the price range for its Nasdaq IPO at $45 to $50 per share on 21 million Class A shares. It targets up to $1.05 billion in proceeds at a $12.7 billion fully diluted valuation, with trading expected on or around June 3 under ticker QNT.
Quantinuum builds quantum computers using individual trapped ions as qubits, a different physical approach from the superconducting-circuit machines that Google and IBM run.
2025 revenue came in at $30.9 million, up from $23 million the year prior, against a $192.6 million net loss. The company has spent more than $2 billion on R&D over the past decade and held $677 million in cash at quarter-end.