Hi, I'm Rasmus. Head of engineering by trade, building Eignex on the side: open-source infrastructure for optimization loops in production.
Posting here as I build it.
https://t.co/NNicwJtYdI
#buildinpublic#opensource
Anthropic: the worlds most dangerous model too powerful to release.
Also Anthropic: we have no idea why we are forced to pull Fable. It's just a misunderstanding.
Cool article about optimizing images in RAG pipelines. Precomputing image-to-text is obvious, but they have some nice extensions that are worth reading about. https://t.co/AuSohdQtcH
Spent the afternoon watching Claude confidently diagnose a Kotlin/Wasm compiler bug: minimal repro, version bisect, "we should pin the toolchain and file upstream."
It was a latent infinite loop in my own solver.
It's never the compiler. It's never the compiler. Scarily human-like tbh. ๐
Good HN blog article on using LLMs at a slower pace: using multiple agents on the same PR to surface issues, then reviewing and filtering the comments yourself, is a pretty sensible way to trade speed for better code. https://t.co/rW1lLitUq1
@asmah2107 Pretty much. If the answer can be checked quickly, the system gets better fast. If you need a human, a lab, or six months in the real world, progress slows down a lot.
@sunnyyuych Efficiency in speed is one thing. When people get hooked on this technology it's too easy to shut your brain down and reach for it instead of searching or reading a book. I wonder tho if this is also an illusion or do you actually use less energy from just using your AI?
@trikcode $20/month is cheap compared to hosting it yourself. And opencode is not as good as Claude code. It's good that we have the option but it's not a rational choice for individuals. If you're a company that changes the equation.