Ever since I started working on Memory, I've been seeing RAG products every day. Discovered a one-stop RAG framework, open-source, MIT licensed. This library can be considered a multimodal superset based on LightRAG. Building on the LightRAG architecture, it provides a
OPEN SOURCE
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Open Weights Models Struggle on Logic Reasoning Benchmark
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@nrehiew_ Hey, just made a logic reasoning / problem solving benchmark where open weights models get completely lost, but the frontier models make it look easy. Curious about your hypothesis why, thinking it's sparsity related:
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Open Models Overfitting Benchmarks While Losing Reasoning Ability
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@xeophon On the topic of swe-rebench and lower scores, another data point for you: my own analysis suggests open models are overfitting to popular patterns/benchmarks while failing to get better at logical reasoning / problem solving:
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Logic Reasoning Benchmark: Frontier vs Open Weight Models
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@scaling01 Before your pivot to Star Wars memes, I remember you used to be interested in LLMs! I just built a logic reasoning / problem solving benchmark where frontier models one-shot solutions, but the open weights models really struggle:
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DeepSeek V4 Open Models Lag Behind Frontier AI
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@teortaxesTex About DeepSeek V4 being able to compete with the frontier, I made a new benchmark that suggests open models (particularly the new ultra-sparse ones) are qualitatively worse at problem solving and logical reasoning:
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Open Weights Model Performance: MoE Sparsity Challenges
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I will add the remaining two (?) models rumoured for release early next week and finalize it with a blog post… In the meantime, if you have any theories why open weights struggle (my theory is that it's MoE/sparsity induced) — let me know!
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Open Weights Models Lag Behind Frontier on Logical Reasoning
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PREVIEW: The Joy Of Benchmarks (Q1'26) My new #AI benchmark on out-of-domain programming languages (joy) suggests that open weights models are qualitatively *far* behind the frontier on logical reasoning and problem solving… The newest models: GLM-5, Minimax M2.5, and Kimi
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Open Source LLMs Excelling with ChatLLM Auto-Selection Feature
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Open source LLMs are CRUSHING it right now! Kimi K2, GLM-5 leading the pack Why choose one when you can have the best of both worlds? ChatLLM auto-selects the perfect model for your task—open OR closed source Maximum efficiency, zero hassle
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Impressive coding results in AI development
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Coding results look impressive too. Anyone tried this yet?
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Aliyun Tongyi Launches CoPaw Open-Source Personal AI Assistant
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Check this out, the full-scenario personal assistant CoPaw under Aliyun's Tongyi Yep, it's exactly because we saw the hype around @openclaw that we came up with this. In theory, it's more friendly to domestic IMs, supports Skills, self-hosting, and is open-source friendly
