my thoughts on why vector search is fading in 2026
for the last week i wanted to test if i could build a production-level rag pipeline without vectors. no embeddings, no gpu burn. just bm25 (elasticsearch) for retrieval, then dump as much context as possible to gemini for…
hot take: ai is not the end of history. it is the end of manufactured scarcity.
prof jiang shows how power has always ruled by fabricating scarcity. central banks create money out of nothing yet enforce poverty to motivate everyone to work. happiness shrank into a consumable…
reasoning models are basically iterative hallucinations. the model spits out a draft, rereads itself, and says “try again.” because outputs are stochastic, multiple passes create a crude monte carlo over possible answers, and convergence mimics intelligence. this is why you see…
vc firms talk a big game about "pattern recognition" but most just chase the same 5 trends with different packaging. all their advice boils down to "be contrarian... but not too contrarian" or "move fast... but also think long-term."
the best founders know this: vcs want you…
the future of b2b saas:
- ai copilots handling 80% of routine workflows
- pricing based on value metrics, not seats
- niche verticals dominating horizontal generalist platforms
- ui so intuitive it feels conversational
the winners will build for outcomes, not features.
sf feels like being stuck in a group chat where everyone's flexing their latest funding round while secretly wondering why they're still unhappy. the vibes are rancid and the rent's even worse.
the future of ai isn't about replacing humans. it's about expanding what humans can do. we're building co-pilots for thought, creativity, and problem-solving at scale. the ceiling is just way higher now.
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