Ask o3 Pro: “Based on everything you know about me, reason + predict what the next 50 years of my life will look like.”

+1 for "context engineering" over "prompt engineering". People associate prompts with short task descriptions you'd give an LLM in your day-to-day use. When in every industrial-strength LLM app, context engineering is the delicate art and science of filling the context window with just the right information for the next step. Science because doing this right involves task descriptions and explanations, few shot examples, RAG, related (possibly multimodal) data, tools, state and history, compacting... Too little or of the wrong form and the LLM doesn't have the right context for optimal performance. Too much or too irrelevant and the LLM costs might go up and performance might come down. Doing this well is highly non-trivial. And art because of the guiding intuition around LLM psychology of people spirits. On top of context engineering itself, an LLM app has to: - break up problems just right into control flows - pack the context windows just right - dispatch calls to LLMs of the right kind and capability - handle generation-verification UIUX flows - a lot more - guardrails, security, evals, parallelism, prefetching, ... So context engineering is just one small piece of an emerging thick layer of non-trivial software that coordinates individual LLM calls (and a lot more) into full LLM apps. The term "ChatGPT wrapper" is tired and really, really wrong.

"Only 2% of [public] companies [over the last century] were responsible for more than 90% of the aggregate net wealth creation." Long term public market investing = venture capital investing, whether you like it or not! HT @mjmauboussin

3/ GUT HACK: Fermented Foods Beat Everything Stanford study: Fermented foods destroyed high-fiber diets for: - Reducing inflammation - Improving focus - Better sleep - Stronger immunity Daily fermented foods = daily brain upgrade.

i love america