Feb 12 · 2 min read · RynnBrain, an initiative from Alibaba's DAMO Academy, introduces open embodied foundation models aimed at enhancing artificial intelligence capabilities in reasoning and interaction. This project underscores a shift towards developing AI that can eng...
Join discussionFeb 11 · 2 min read · RynnBrain, an initiative from Alibaba's DAMO Academy, introduces open embodied foundation models aimed at enhancing artificial intelligence capabilities in reasoning and interaction. This project underscores a shift towards developing AI that can eng...
Join discussionJan 16 · 5 min read · Large language models feel impressive right up until they do not. The responses still look fluent. The structure still appears logical. But somewhere beneath the surface, reasoning quality drops. Assumptions blur. Constraints leak. The model keeps ta...
Join discussionDec 18, 2025 · 6 min read · Every developer has a "long context" horror story. It usually starts the same way. You see a model announcement claiming a 100k, 200k, or even a million-token context window. You get excited. You think, finally, I can dump my entire codebase, three y...
Join discussionNov 17, 2025 · 2 min read · Artificial intelligence has split into two worlds: symbolic logic, which reasons about facts and rules; and neural networks, which learn patterns without being able to explain them. On one side, deductive intelligence — precise, coherent, but rigid. ...
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Oct 19, 2025 · 9 min read · “Mathematics is the alphabet with which God has written the universe." - Galileo If you didn’t enjoy math class as a kid, don’t worry — that doesn’t mean you hate God’s language. But it does mean you may have missed one of the most profound evidences...
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Oct 16, 2025 · 11 min read · “People almost invariably arrive at their beliefs not on the basis of proof but on the basis of what they find attractive.” – Blaise Pascal Rationalization Over Reasoning Why do some of the brightest minds so vehemently oppose the most reasonable exp...
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Aug 30, 2025 · 9 min read · Large language models can write poetry, solve math problems, and speak many languages. However, the challenge is that no one fully understands how they accomplish these tasks. These models are trained on vast amounts of text, and during this process,...
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Aug 23, 2025 · 2 min read · 논문 원본 링크: https://arxiv.org/pdf/2508.01191 관련 뉴스 https://www.aitimes.com/news/articleView.html?idxno=201660 논문 요약 1. 연구 목적과 배경 Chain‑of‑Thought(CoT) 프롬프트는 LLM이 문제 해결 전에 인간처럼 중간 추론 과정을 표현하게 하여 성능을 향상시키는 기술입니다. 하지만 이러한 CoT가 실제 논리적 추론인지, 아니면 훈련 데이터의 패턴을...
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Aug 22, 2025 · 7 min read · The AI Problem Map 16 failure modes of RAG, LLM agents, and vector stores with reproducible fixes long form, SEO friendly, copy-paste ready for engineers who keep hitting silent bugs what is the Problem Map Problem Map is a field guide for AI system...
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