Practical AI workflows, prompts, and tools for founders and operators who want to compound an advantage every week
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A WCIT lecture with Sir Demis Hassabis and Dame Wendy Hall turned into the clearest AGI timeline, risk map, and UK strategy briefing of the year, and almost nobody clipped the parts that matter.
Benchmark says data will be AI's next $1 trillion category and the growth backs the claim. But the money is not buying services. It is buying human judgment, permanently.
Anthropic’s engineers merge 8 times more code per day than in 2024. The context engineering playbook everyone is copying explains almost none of it.
Feedback loops are the pattern everyone in AI is saving this year. Most of them improve nothing and the fix is something anyone can build in an afternoon.
A sandbox escape, a year of drift he owns, and the bet that compute decides the decade. The 10 takeaways.
Two thirds of this year’s venture money went to four companies. Her entire firm exists on the premise that this is the wrong place to be standing.
Most founders type into Claude the way they Google. Here is the prompt stack that runs a full raise: investor research, objection war-rooms, data-room audits, and term-sheet checks.
A practical guide to goals, evals, memory, guardrails, escalation, and stopping conditions.
A guide on continual learning for AI agents.
Daniela Amodei, Dario’s sister, is probably the most important person in Anthropic’s billion dollar success story. And you should know about her.
Boris Cherny reveals the Claude Code playbook: delete prompts, build verification loops, and let Opus 5 run unattended coding tasks for weeks.
Jeff Dean and 3 collaborators walked out after a combined century at Google. Alphabet wrote a check and is paying for the compute. The deck, the investors, and the loop they are automating
The cost of building just fell 1,000x. Altman says that makes today the best time in history to start, and most founders are reading it exactly backwards. The 10 takeaways.
