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Various links I find interesting. Mostly hardcore tech :) // by @oleksandr_now. See @notatky for the personal stuff
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Oops Tencent guys beat me to distilling agent behaviors from LLMs into "regular" code 😅

We present PORTAL, a novel framework for developing artificial intelligence agents capable of playing thousands of 3D video games through language-guided policy generation.


https://zhongwen.one/projects/portal/
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https://ezyang.github.io/ai-blindspots/
AI Blindspots – Blindspots in LLMs I've noticed while AI coding


regardless if you use AI, almost all of these are simply good coding practices to adhere to anyway :) and there's quite a list, so take a look
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if you add x-middleware-subrequest header to your request to the next.js website it would be treated like it has already passed through the auth wall middleware. cozy php vibes

https://security.snyk.io/vuln/SNYK-JS-NEXT-9508709
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instantly wishlisted. portable Raman spectrometer is like a sixth sense, except it's real

Also, "Minimal ignition risk" is an absolutely lovely detail 😂

https://fixupx.com/jwt0625/status/1904562738833367531?s=46
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Karpathy delivers: while LLMs ship slop 90% of the time they empower individuals with access to skill diversity previously available to corporations only.

the catch? your job now is to filter thru all that slop.
No, you can't delegate that.

https://x.com/karpathy/status/1909308143156240538?s=46
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llm "hallucinations", human anxiety and a lot of other things have one thing in common: trying to do something when the optimal decision would be to do nothing this time
https://www.evanmiller.org/attention-is-off-by-one.html
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Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

nice paper, what's interesting is that graph databases make almost no difference in their tests, compared to just a vector store of facts distilled from history
https://mem0.ai/research
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https://github.com/jessevig/bertviz is an interactive llm visualizer; be sure to play with it while i'm trying to find the time to >_<
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