In 30 Sekunden
Theo Browne discusses an NVIDIA letter about open-weight AI models and says Anthropic is absent from the companies shown. He interprets CEO Jensen Huang’s post as a signal aimed at Anthropic, an inference rather than direct evidence of hostility.
- 1Theo’s interpretationTheo thinks Anthropic has made an adversary of NVIDIA CEO Jensen Huang.
- 2A post and a letterTheo connects Huang’s post to an NVIDIA letter about open-weight models.
- 3An absent companyTheo notes that Anthropic does not appear among the companies shown; its absence alone does not establish why.
Das Wichtigste
- Theo discusses an NVIDIA letter about open-weight models.
- He points out that Anthropic is absent from the companies shown in the letter.
- His view that the post targets Anthropic is an interpretation, not established proof of motive.
Den bearbeiteten Text nach Kapiteln lesen
An open-weight AI letter
Theo reacts to a post connected to NVIDIA’s letter. He highlights Anthropic’s absence and gives his interpretation of its significance.
I think Anthropic has made a new big enemy: Jensen Huang, the CEO of NVIDIA. He posted about an NVIDIA letter, and I read that as a callout of Anthropic. That is my interpretation of the post, not direct evidence that the letter was intended to attack the company.
The letter concerns open-weight models. I point out that many AI and AI-adjacent companies are included, but Anthropic is not among those shown. Its absence by itself does not explain why it was not included.
Mehr aus diesem Kanal
38:47EN
Theo - t3․gg· 28. Okt. 2026Theo’s Long-Running Agent Experiments: Verification, Compute and CostTheo Browne · Ping LabsA skateboard game and two compiler projects show how repeated checks and flexible compute can sustain agent work—and how expensive those loops can become.
36:07ENTheo - t3․gg· 27. Okt. 2026Theo on Token Costs, Coding Agents, and the Price of AI CapabilityTheo Browne · Ping LabsA viral estimate of Lauren's AI spending prompts a closer look at cache pricing, benchmarks, and the changing work of coding agents.
30:37ENTheo - t3․gg· 26. Okt. 2026Theo’s Three Skills for Reviewing and Shipping with Coding AgentsTheo Browne · Ping LabsHow sol-loop, full-send and full-stop encode review, verification and different levels of merge authority.
0:43ENTheo - t3․gg· 23. Okt. 2026Theo Distinguishes Security Vulnerabilities from Active AttacksTheo Browne · Ping LabsA short explanation of why disclosed software flaws and reported attacks are different kinds of security news.
29:22ENTheo - t3․gg· 22. Okt. 2026Theo on Security Vulnerabilities, Stolen API Keys and AITheo Browne · Ping LabsA look at the gap between vulnerability disclosure and patching, and a speculative account of why stolen inference keys may be valuable.
31:13ENTheo - t3․gg· 20. Okt. 2026Theo on Why Smarter Models Help More Than DevelopersTheo Browne · Ping LabsFrom game modifications to compiler experiments, Theo revisits his assumptions about who benefits from more capable AI.