# 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](https://www.bloomberg.com/news/articles/2026-05-28/anthropic-raises-at-965-billion-valuation-eclipsing-openai) 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](https://www.cnbc.com/2026/05/28/anthropic-open-ai-startup-value.html) 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](https://www.anthropic.com/news/claude-opus-4-8) 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](https://cdn.sanity.io/files/4zrzovbb/website/c886650a2e96fc0925c805a1a7ca77314ccbf4a6.pdf) 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](https://www.axios.com/2026/05/28/anthropic-opus-release-mythos) 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](https://pluralis.ai/), a research lab focused on collectively-owned AI, previously completed [Node0-7.5B](https://github.com/PluralisResearch/node0), 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](https://agora.pluralis.ai/) 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](https://blog.pluralis.ai/p/a-third-path-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](https://www.sec.gov/Archives/edgar/data/0002110105/000162828026037917/quantinuum-sx1a.htm) 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.