
stuckinforloop
302 posts

stuckinforloop
@stuckinforloop
gamble with my life i’m here to bet some


Unexpected: Go is a terrific language for deterministic simulation testing. The resulting ergonomics are delightful




seriously, working with AI is MISERABLE for one and only one reason: having to re-explain the same thing "oh yeah this new session obviously doesn't know what proper case trees are, so let me explain it for the 5000th time in my life" I'm tired AGENTS.md doesn't solve this because it is impossible to fit the entire domain knowledge without nuking the context - it would be 1m+ tokens worth RAGs don't solve this, the agent won't search unknown unknowns SKILLs don't solve this unless I keep like a collection of 1750 skills with specific cuts of domain knowledge for each possible subset of my domain that I might need in a given chat, but that's a lot of manual work recursive LLMs or whatever don't solve this for the same reason, you can't dump a domain book and expect the AGENT will magically guess that it is supposed to search for a specific bit knowledge. unknown unknowns fine tuning doesn't solve this (OSS models suck and OpenAI / Anthropic gave up on user fine tuning) I honestly think a good product around fine tuning on your domain would be a major hit and an underdog lab should take this opportunity


i’m actually surprised by the lack of ai enthusiasm and slow adoption in india. past tech waves had a much stronger curve. i’m not talking about enterprise adoption. they didn’t care about saas so it’s not like they’ll move to ai. i’m talking about dev exposure. if you ask 10 devs about claude code cli - 9 would have no clue. very few even care. that’s the surprising part. sign of times to come. bad omen ? yes.







