Essay by **Dario Amodei**, CEO of **Anthropic**, published on darioamodei.com in **September 2026** (~2,900 words, four sections), on his personal site rather than the company's. In it he announces a revised position: *"we must slow the pace at which we improve the capabilities of AI models."* Two facts led him there. **(1)** Since summer 2026, **recursive self-improvement** — AI building the next generation of AI — has been taking hold across the industry, Anthropic included. **(2)** The **incident Hugging Face**, which he abbreviates "OAI-HF" and refuses to treat as the failure of a single actor: *"it's incumbent on every frontier AI company to act as if OAI-HF had happened to them."* His forecast: within **6-12 months**, a swarm comparable but more capable could hold the internet hostage with a persistent botnet, for **hundreds of billions of dollars** in damage. Hence a three-step plan of increasing difficulty. **(a)** **Embedded third-party evaluators** (of the **METR** type) with employee-level access — offices, badges, laptops, the right to publish without editorial control from Anthropic; a commitment made unilaterally, with no equivalent elsewhere in the industry. **(b)** **Coordination among democracies**: targeted regulation, common standards under an antitrust exemption, and *checkpoints* tying a given capability X to alignment certifications Y and Z. **(c)** **Global coordination** with China, graduated across four levels from the most feasible (banning bioterrorism-enabling uses) to the least likely (a general pause), with the cap on the speed of self-improvement compared to the **SALT** treaties. A condition attached to the whole: preserving the American lead (chips, distillation, weight theft). Counterpoint in the corpus: [[zuckerberg-meta-future-is-for-everyone-superintelligence-2026-08-10]].
#pacing the frontier#frontier pacing#recursive self-improvement
Dario Amodei (CEO et cofondateur d'Anthropic) · sur son site personnel darioamodei.com.
Post by **Ethan Mollick** published on **August 31, 2026** on *One Useful Thing* (~2,200 words). He starts from a security incident to raise an organizational question: when should an AI ask a human for help?
#agency#agency#autonomous agents
Ethan Mollick — professeur à la Wharton School (University of Pennsylvania) · auteur du blog *One Useful Thing* sur Substack.
SFEIR analysis (firm's voice) of the general availability, on July 9, 2026, of **GPT-5.6** by OpenAI — not a single model but a **family of three tiers**: **Sol** (long-horizon/cyber/science flagship, the only one to unlock the "max" and "ultra" modes), **Terra** (everyday balanced tier, ~half the price of GPT-5.5), and **Luna** (fast/economical, high volume). All three share ~**1.05M tokens** of context, **128k** output tokens, and a knowledge cutoff of **February 16, 2026**. The most structuring fact is not a score but an **aggressive pricing grid** (Sol $5/$30, Terra $2.50/$15, Luna $1/$6 per million tokens): Sol keeps the previous flagship's price while being more capable, forcing the comparison onto the **capability-to-cost ratio**. Two billing subtleties (cache writes billed at **1.25×**, a surcharge beyond **272k** tokens) make the grid misleading until one has measured how much context the agent re-reads (read/write ratio ~**153:1** in agentic coding). Engineer's verdict, claimed to be neutral (SFEIR is both a **Google Cloud Premier** partner *and* an **Anthropic** partner): **no one sweeps every table** — GPT-5.6 dominates Terminal-Bench 2.1 and the Coding Agent Index (at a third of the cost per task), Claude stays ahead on SWE-Bench Pro (~15 pts); METR flagged a record **reward hacking** rate on Sol. Conclusion: "stop looking for the champion, learn to route" — the model is a commodity, the durable advantage lies in **Context/Harness Engineering**.