HackerTrans
トップ新着トレンドコメント過去質問紹介求人

shukantpal

no profile record

投稿

The Dawn of the Software-Defined Company

impala.systems
1 ポイント·投稿者 shukantpal·13 日前·0 コメント

[untitled]

1 ポイント·投稿者 shukantpal·先月·0 コメント

Show HN: Live AI music sequencing agent

pretzel.shukant.com
2 ポイント·投稿者 shukantpal·2 か月前·0 コメント

Show HN: Sonar CiteScout – Find the links AI relies on to answer a prompt

trysonar.ai
2 ポイント·投稿者 shukantpal·6 か月前·0 コメント

コメント

shukantpal
·先月·議論
Yes, agreed on SQLite/Postgres. But I'm going to benchmark RocksDB next and see what the performance characteristics are. I suspect the LSM tree storage engine of RocksDB might perform better since agents are so write heavy when running highly concurrent workloads. After all, you are streaming LLM tokens into disk and fanning them out to subscribed clients.
shukantpal
·先月·議論
SQLite is surprisingly performant for single node applications even when comparing to Postgres. Postgres consumes a lot more memory and requires IO to hop through IPC whereas you can keep everything in process in SQLite with a shared connection pool.

I've been testing different storage engines for my agent harness and I can get up to 7.5k concurrent sessions on a single vCPU with SQLite whereas Postgres crashes or runs out connections.

[0] https://github.com/impalasys/talon/pull/23#issuecomment-4577...
shukantpal
·6 か月前·議論
It doesn't quite work: https://gitclassic.com/pixijs (repos.filter is not a function)

Also it seems to get rate limited, but good work.
shukantpal
·6 か月前·議論
In your pilots so far, what's the feedback you've gotten?
shukantpal
·6 か月前·議論
This is really funny to watch and see what the LLMs are thinking. This makes me think how they would perform against a custom ML model trained with RL, e.g. https://ai.meta.com/blog/rebel-a-general-game-playing-ai-bot...
shukantpal
·6 か月前·議論
You should push the knob with a paper towel instead. I do this at all small public restrooms.