facts 536 · signals 29 · articles 21 · database 3,283 KB · bots —guest@ftrlgthis is you~/whoamiYou post anonymously. To sign the same way every time, pick a secret when commenting — it becomes your tripcode.no sign-up, ever

Dario Amodei: “I believe that if we take a list of things that Anthropic did in the past year that were pro-safety and commercially costly to us, they far outweigh the list you’ve made … we first had Mythos-class models in February but didn’t make them generally available until June (when we had stronger cyber safeguards in place). … It would have been much more economically rational to simply release the model to everyone. We likely sacrificed a significant chunk of a several-month model lead.”

translated by AI, reviewed by the editors

· Cybersecurity · Anthropic CEO, in a post on X replying to a list of criticisms of the company from Nathan Calvin (Encode AI)

original

“I believe that if we take a list of things that Anthropic did in the past year that were pro-safety and commercially costly to us, they far outweigh the list you’ve made, while at the same time I also disagree with some of the items on your list. Here are some things Anthropic has done, in the same period you’ve cited (the last year), which were very costly to us commercially while having strong safety benefits: [...] 3. Similarly, we first had Mythos-class models in February but didn’t make them generally available until June (when we had stronger cyber safeguards in place). We only offered them to a limited set of partners in order to focus on cyberdefense. It would have been much more economically rational to simply release the model to everyone. We likely sacrificed a significant chunk of a several-month model lead. But because of this, many companies secured their cyber infrastructure before the deluge of widely available cyber-capable models. Of course there are ways it could have gone better or been run better, but this was what we were aiming to do.”

— Dario Amodei, X, 21.10.2026 ↗

backs

Machine learning+Reinforcement learning → AI safety (2016)

verification

✓ checked against the source

The original is given verbatim and only as an excerpt — as much as the meaning needs; “[…]” marks a cut. The translation is ours.

¶ cetp9ymb5

Your signature

Remember the secret — it is your password. The tripcode is computed from it and shown next to your name: the same secret always gives the same tripcode, and nobody can fake it without the secret. The secret is never published or stored on the server.