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Saying the obvious thing AI inference is obviously profitable AI GPUs probably live longer than three years Doing nothing at work Working with product managers Anti-AI nostalgia and the cult of the past Weird projects I shipped with AI Build agents, not pipelines The famous o3 "GeoGuessr" prompt did not work Prompts are technical debt too The just-say-no engineer was a ZIRP phenomenon How I use LLMs as a staff engineer in 2026 DeepSeek-V4-Flash means LLM steering is interesting again AI datacenters in space do not have a cooling problem Thinking Machines and interaction models The left-wing case for AI AI makes weak engineers less harmful Notes on incidents Why hasn't longer-horizon training slowed AI progress? Why I don't like the "staff engineer archetypes" Software engineering may no longer be a lifetime career Blood in the datacenter Many anti-AI arguments are conservative arguments Programming (with AI agents) as theory building Working on products people hate Engineers do get promoted for writing simple code Big tech engineers need big egos I don't know if my job will still exist in ten years Giving LLMs a personality is just good engineering What's so hard about continuous learning? Insider amnesia LLM-generated skills work, if you generate them afterwards Two different tricks for fast LLM inference On screwing up Getting the main thing right How does AI impact skill formation? You have to know how to drive the car
Large tech companies don't need heroes
2026-02-08 · via seangoedecke.com RSS feed
Large tech companies operate via systems . What that means is that the main outcomes - up to and including th…