Amodei: open weights are 'nowhere near a sufficient solution'

Share
Amodei: open weights are 'nowhere near a sufficient solution'

Anthropic's CEO went where he almost never goes — a long X thread — to make the case for regulation in the middle of the industry's loudest argument about open weights.

Dario Amodei took to X Saturday to defend AI regulation and mandatory frontier-model testing, arguing that open-weight models are "nowhere near a sufficient solution" to AI's concentration problem. The exchange began when a16z's Gavin Baker and Anthropic co-founder Sholto Douglas sparred over claims about Amodei's positions that, in Baker's words, "multiple very serious people in Silicon Valley" believe to be true. Amodei's two-part reply, viewed roughly 490,000 times, rejected what he called the "false choice" between concentrating AI "in the hands of a chosen few companies and politicians via regulation" and distributing it widely. He pushed back on the Silicon Valley shorthand that regulation equals regulatory capture, arguing that fair institutional processes can decentralize power — his analogy was the court system versus mob justice — and that Anthropic's own proposals (California's SB 53, the CAISI and White House testing process, the "Pacing the Frontier" letter) are designed to slow frontier labs while advantaging smaller challengers, "including open-weights!"

The core claim is the interesting one. Amodei argues AI is structurally a power-concentrating technology because of scaling laws, and that open weights only shift the concentration to whoever holds the most compute and chips — "roughly the frontier labs plus maybe hardware providers." That is a direct answer to the open-source camp's central article of faith, and it lands the same week Alibaba put a frontier-adjacent Qwen3.8-27B on home GPUs under an Apache license — Qwen open-sources Qwen3.8-27B that runs on consumer GPUs — the exact challenger dynamic he says regulation should protect. He also endorsed the Trump administration's reported plan for pre-deployment testing of frontier models and of open-weight models as they approach the frontier, plus Demis Hassabis's idea of a FINRA-style regulator, while dismissing the charge that his messaging is disproportionately negative. Elon Musk, Steven Sinofsky, and Brad Gerstner all weighed in, and Techmeme's summary flags his warning of a "crisis of trust" in AI as a through-line.

The significance is partly substance, partly venue. Amodei rarely engages on social media, and his Saturday thread is the most direct public statement of his regulatory philosophy since his June policy essay — made at a moment when the industry is splitting into open-weights and testing camps and Anthropic is heading toward a reported IPO. He is staking out ground that annoys both sides: open-weights advocates get "not sufficient," while the deregulation crowd gets an explicit defense of pre-deployment testing. Whether that nuance survives contact with actual legislation is the open question — but it is now on the record, in his own words, in front of half a million views.

What to watch: whether the administration's pre-deployment testing rules arrive as reported, and how open-weight labs respond to being folded into the testing regime.

Is Amodei right that open weights just move the concentration problem to whoever owns the chips? Tell us in the comments.

Read more

Akhetonics says its all-optical CPU reaches a customer in 2026

Akhetonics says its all-optical CPU reaches a customer in 2026

Light-based computing keeps promising more than it delivers — but one Munich startup has just put a date on its bet, and the interview laying it out is doing the rounds on Hacker News this week. Akhetonics says it will deploy its first commercial machine with a major customer by the end of 2026, with several more planned for 2027. The company, founded by Michael Kissner and Leonardo Del Bino, is building a computer where data enters as light, is switched as light, and circulates through memory

The Week in AI — October 5–11, 2026

The Week in AI — October 5–11, 2026

Every big claim this week turned out to rest on fine print more interesting than the headline: revenue only the company reporting it can define, safety tests sandboxed while the product keeps the web, and a Pentagon phase-out nobody would confirm until reporters kept asking. The week's top 5 1. OpenAI's revenue was $20 billion below the numbers everyone quoted — and the gap was definitional. The Financial Times reported Thursday that OpenAI's annualized revenue runs roughly $20 billion unde

Drone strike shuts a third Yandex data center, taking YandexGPT offline

Drone strike shuts a third Yandex data center, taking YandexGPT offline

Russia's largest tech company is learning what the AI era's infrastructure war looks like from the receiving end — three data centers in four days, and with them much of the cloud layer Russian businesses run on. A Ukrainian drone strike knocked out Yandex's data center in Vladimir early Sunday morning, the third of the company's facilities hit since October 8. The site — reported at roughly 50 MW and designed for about 2,880 server racks — stopped operating completely after the attack, Yandex

Agent teams cost up to 5x more, barely score higher

Agent teams cost up to 5x more, barely score higher

The multi-agent hype train hit a benchmark this weekend — and the grid and the trucking regulators had quiet weeks of their own. Vals AI put agent teams head-to-head with single agents on its Vibe Code Bench, and the teams cost between 1.8 and 5.1 times more for almost no extra quality. The evals company ran GPT-6 Sol and Claude Opus 5.5 solo and in teams across 50 apps at two reasoning efforts; out of four comparisons, only one was statistically significant — Sol at medium effort, where the t