@v_truba
Apex’s Text Clustering competition is now live!
The challenge is to develop a faster, more accurate way to cluster vast amounts of text, making unstructured data easier to organise, search and turn into useful insight.
@Data_SN13 has brought a real-world text clustering problem to
@Apex_SN1, and now it’s over to our users.
This is cross-subnet collaboration with a clear purpose: a real problem, an objective benchmark, and the @bittensor network competing to find the best solution.
Get Involved 👉 : apex.macrocosmos.ai/competitions/10
Join the conversation 👇:
Discord - discord.gg/u68MCvEZk
Telegram - @MacrocosmosAIView quoted post on X
huggingface.co Your whole multi-agent run, in a bucket you own A Blog post by Volodymyr Truba on Hugging Face 
github.com GitHub - Arrmlet/tracecraft: The black box for AI agents — record every session, referee every task... The black box for AI agents — record every session, referee every task claim. Live mirroring + atomic coordination in a bucket YOU own. No server. - Arrmlet/tracecraft Wow, this tweet went very viral!View quoted post on X
I wanted share a possibly slightly improved version of the tweet in an "idea file". The idea of the idea file is that in this era of LLM agents, there is less of a point/need of sharing the specific code/app, you just share the idea, then the other person's agent customizes & builds it for your specific needs.
So here's the idea in a gist format: gist.github.com/karpathy/442a6…
You can give this to your agent and it can build you your own LLM wiki and guide you on how to use it etc. It's intentionally kept a little bit abstract/vague because there are so many directions to take this in. And ofc, people can adjust the idea or contribute their own in the Discussion which is cool.
