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rakag

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投稿

[untitled]

1 ポイント·投稿者 rakag·3 か月前·0 コメント

Meta Acquires Moltbook

nytimes.com
3 ポイント·投稿者 rakag·4 か月前·0 コメント

[untitled]

1 ポイント·投稿者 rakag·4 か月前·0 コメント

I built a slop factory and a bot wanted to feature it

raka.gunar.to
4 ポイント·投稿者 rakag·5 か月前·0 コメント

Show HN: Agent Panopticon – Proxy sidecar for autonomous AI agents

github.com
3 ポイント·投稿者 rakag·5 か月前·0 コメント

My performance art-like piece: The Slopinator 9000

github.com
1 ポイント·投稿者 rakag·5 か月前·0 コメント

Show HN: We made a local-first LLM assisted journaling tool

github.com
2 ポイント·投稿者 rakag·11 か月前·0 コメント

コメント

rakag
·4 か月前·議論
What's the difference between this and OpenWork which has existed for a while?
rakag
·4 か月前·議論
The codebase is likely entirely AI generated without much review. There are fake "analyses", fake UAV data generated, all the hallmarks of an LLM generating placeholder / dummy data.
rakag
·4 か月前·議論


    assessment = "ANALYSIS: "

    if any(k in keywords for k in ["strike", "missile", "attack", "bomb", "drone"]):

        assessment += f"{random.randint(75, 95)}% probability of kinetic escalation within 24 hours. Recommend immediate asset relocation from projected blast radius."

    elif...

Lol.
rakag
·4 か月前·議論
The AI prose is getting so tiring to read

"We measured this. Not estimates — actual token counts using the cl100k_base tokenizer against real schemas, verified by an automated test suite."
rakag
·11 か月前·議論
Haha getting flashbanged halfway through
rakag
·11 か月前·議論
This is exactly what I need for my project :)