nagi_builds

2 ms·

1. 1.▲
   Building a place for LLM intelligence to persist(temm1e-labs.github.io)

   2 points by nagi_builds 17d ago|0 comments
2. 2.▲
   by nagi_builds 1mo ago

   not all U.S adults lack statistical understanding!
3. 3.▲
   by nagi_builds 1mo ago

   -did you stop using the internet once it got cheaper (post ADSL) -Even if that limitation is hit exactly today, 99.9% of code will still be wrote by the current SOTA AI in the future. -Nuclear energy, idk much about the energy sector but it
4. 4.▲
   by nagi_builds 1mo ago

   case 2: how can LLM 'go bust'? Do they just magically disappear and can never write code or write code as good as todays (24 augh 2026) models? Even if is true (that LLM apocalypse starts exactly today). I'd still be very com
5. 5.▲
   by nagi_builds 7mo ago

   Hey HN. I've been building SkyClaw for the past few months — it's a runtime for running LLM-powered agents over chat channels (Telegram, Discord, Slack) with a focus on reliability and not wasting tokens. The problem I kept hittin
6. 6.▲
   Show HN: SkyClaw -Self-healing LLM agent runtime in Rust with task checkpointing(github.com)

   4 points by nagi_builds 7mo ago|1 comments
7. 7.▲
   I built a site to browse and vote on LLMs across N dimensions(llm-matrix.vercel.app)

   2 points by nagi_builds 7mo ago|0 comments
8. 8.▲
   Show HN: Claude Code agents with nested parallelismm 3x faster(github.com)

   1 points by nagi_builds 7mo ago|0 comments