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Arkid

Re:Why Fashion Needs a World Model on Wednesday May 20, 2026 @11:13PM (#48217414)
Fashion industry wastes $500 billion worth of apparels because nobody in tech is solving their multimodal reasoning and forecasting problem

Show HN: OpenClaw-superpowers – Self-modifying skill library for OpenClaw agents

https://github.com/ArchieIndian/openclaw-superpowers

I built a skill library for OpenClaw (always-on AI agent runtime, not session-based) where the agent can teach itself new behaviors during normal conversation.The idea: you tell your agent "every time I ask for a code review, always check for security issues first." It invokes a create-skill skill, writes a new SKILL.md, and that behavior is live immediately — no restart, no config change, no...

( Read More... | no comments | 8 points | on HN )
Re:Binge Through Any URL on Friday September 12, 2025 @02:04PM (#45224822)
Binge through Paul Graham's - The 18 mistakes that kill startups Try to binge through any query or URL by signing up
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Ask HN: Loss of entropy in AI based alt-self chat apps

I have seen a bunch of well funded companies raise money with the thesis they will create alt-self of humans which can chat on behalf of humans. I have tried explaining to a bunch of folks how there is entropy loss in such conversations very much in sync with how averages of averages cause smoothening of any series. All i get to hear is a bunch of gen ai jargon from a bunch of folks who have...

( Read More... | 1 comment | on HN )
It is an approach problem. You can engineer it as much as you want but the current architectures wont get us to AGI. I have a feeling that we will end up over engineering on an approach which doesn't get us anywhere. We will make it work via guardrails and memory and context and what not but it wont get us where we want to be.
Is there a discord?
Thanks for this
Made the change in the post. Thanks for this. Not able to change it here.
Logistic regression is a really good method and takes time to get right. But it is indeed one of the most performant models in multiple companies

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