ちゅう retweeted
Gemma4コンペに@tad_chu が合流しました!
お願いします!メンバー募集してます、諸々加味したうえで必ず参加といえるわけではないですが、ぜひ連絡ください!
ちゅう retweeted
DLSS 5 の対応を記念して、『ホグワーツ・レガシー』をテーマにしたカスタム GeForce RTX 5090 をプレゼント🎁
応募方法:
🟢 このアカウントをフォロー
🟢 投稿をシェア
🟢 #RTXON とコメント
応募規約: nvda.ws/4AGaERt
Introducing Octopus OS, a reinvented agent harness.
Agents can edit their own harness in the middle of a task, on their own. Unlike Harness² and similar projects, self-improvement isn’t a separate stage bolted onto the agent. The whole architecture is just the environment they work in.
Over 8 months, chasing self-improvement that feels truly native, I dropped the usual agent loop entirely and designed a new architecture that works a lot like a real operating system, with a 45k-line Rust kernel holding it all together. The system state lives in JSON files: goals act as real environments where agents work, along with inputs, outputs, and custom triggers they respond to. Agents can edit all of it while they work inside.
It was also built as a product from day one, not a research demo. The full desktop app took 3 months, built on top of the Codex source.
The client already works, and you can use it today like any other agent, Codex included.
And it’s open source.
何これ, GPU貸すだけで金もらえるのか,,, でもコンペのせいで無理なんだけど😭
でも5090じゃあもう足りない
have GPUs?
here's what they could be earning on lium:
b300 node: $50k/month
b200: $35k/month
h200: $25k/month
h100: $12k/month
RTX pro: $9k/month
A100: $7k/month
5090: $4k/month
4090: $3k/month
3090: $1200/month
and all other nvidia models supported too.
start here: provider.lium.io/#start
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If I were an AI model, I'd be "Claude Opus 5.5"!
Seeker Who Reached the Summit
#WhichAIModelAreYou
ai.tatoe.top/m/claude-opus-5…
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It's lonely here at the top. #kaggle - kaggle.com/competitions/enve…
It is not lonely











