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Nuclear power could be an answer to power the Data Centers.

New update on Fable 5: and it's less about jailbreaks than anyone initially thought. Via Axios The Axios story that just dropped today reframes the whole thing: Anthropic hired a cybersecurity expert to review Amazon's findings and push back on the government's narrative. The administration viewed her as a "radical Democrat." She was then publicly celebrated by Chris Krebs, the official Trump just fired. That didn't help. Behind the scenes, officials describe a company that simply doesn't know how to talk to this administration. "It's like they just speak different languages," one source said. "Everybody said Anthropic was a bad actor. Some of us said it was time to give them a chance. Now those people are questioning that. They screwed us." Today: Anthropic staffers meet with Commerce, the CIA, and White House science advisor Michael Kratsios to work through compliance with the cyber executive order. The technical question - can Fable 5 be jailbroken - is almost secondary now. This is a story about a company that keeps losing the room. Ill keep you updated.

The Amazon layoffs are pretty ugly. People are finding out they’re gone in pieces: • access half-working • calendars erased before conversations happen • leaders disappearing mid-day • inboxes visible but locked • work still paging after roles are dead This isn’t performance-based. Profitable teams were hit. Top performers were hit. Entire management layers are gone while systems kept running like nothing changed. WTF? Timing isn’t random either: • The cuts happened just before major vesting windows. • Remote and non-hub workers were basically wiped out first. • Some are being nudged into relocation choices... I've spoken with parents on approved leave. I've spoken with new hires barely unpacked. I've spoken with managers learning they’re gone by checking their own calendars. The survivors aren’t relieved either... so many are already looking for another job. Probably much to Amazon's chagrin. This is what efficiency looks like in practice: maximum silence, minimum explanation, zero accountability. If you still think this is about trimming due to covid over-hiring, or H1Bs... you’re missing the point. This is structural - and corporates are full steam ahead in their revolution.

MSG’s reaching sub-zero temps with how cold these Ja 3s are. 🥶

As a fun Saturday vibe code project and following up on this tweet earlier, I hacked up an **llm-council** web app. It looks exactly like ChatGPT except each user query is 1) dispatched to multiple models on your council using OpenRouter, e.g. currently: "openai/gpt-5.1", "google/gemini-3-pro-preview", "anthropic/claude-sonnet-4.5", "x-ai/grok-4", Then 2) all models get to see each other's (anonymized) responses and they review and rank them, and then 3) a "Chairman LLM" gets all of that as context and produces the final response. It's interesting to see the results from multiple models side by side on the same query, and even more amusingly, to read through their evaluation and ranking of each other's responses. Quite often, the models are surprisingly willing to select another LLM's response as superior to their own, making this an interesting model evaluation strategy more generally. For example, reading book chapters together with my LLM Council today, the models consistently praise GPT 5.1 as the best and most insightful model, and consistently select Claude as the worst model, with the other models floating in between. But I'm not 100% convinced this aligns with my own qualitative assessment. For example, qualitatively I find GPT 5.1 a little too wordy and sprawled and Gemini 3 a bit more condensed and processed. Claude is too terse in this domain. That said, there's probably a whole design space of the data flow of your LLM council. The construction of LLM ensembles seems under-explored. I pushed the vibe coded app to github.com/karpathy/llm-coun… if others would like to play. ty nano banana pro for fun header image for the repo

Keep thinking.