A related manner: there are many people who are quite worried that hallucinations will make AI unsafe or inappropriate for broad classes of problems. I very rarely hear those people explicitly try to reason whether hallucinations are a) random or b) persistent given request.
LLMS
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The gap between technologists and society on LLM capabilities
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“And if you think that’s impressive, wait until someone puts it in a for loop.” a persistent source of why technologists and civil society have different POVs of the impact of various LLM capabilities improvements.
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Open Source Models Now Accessible on Local Hardware
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The fact that we're casually comparing open source models at this level is the real story. Two years ago this was a frontier model conversation. Now it's local hardware stuff.
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Custom Kernels Reduce GPU Memory Requirements for AI Models
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Yeah the custom kernels make the difference, most setups need 15-20GB for similar models
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GLM-5.1 Real-World Usability Compared to GLM-5
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There is no reason to believe that they made GLM-5.1 worse than GLM-5 in real-world usability?
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GLM-5.1 Active Parameters Comparison with DeepSeek V3.2
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GLM-5.1 has 40B active parameters per token versus 37B in DeepSeek V3.2, so that can't be it.
Regarding quantization, sure, but quantization general technique that could also be applied similarly to DeepSeek V3.2. -
GLM-5.1: New Flagship Open-Weight Model with Superior Benchmarks
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Strong release! GLM-5.1 is a DeepSeek-V3.2-like architecture (including MLA and DeepSeek Sparse Attention) but with more layers. And the benchmarks look better throughout! Looks like THE flagship open-weight model now.
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Running a 754B Parameter Model at Home: Practical Advice
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does anyone have advice for how to run a 754b parameter model at home? i am quite serious.
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Open-Source Claude Alternative with Local AI and Voice Support
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If you found it insightful, reshare with your network.
— Akshay 🚀 (@akshay_pachaar) 8 avril 2026
Find me → @akshay_pachaar ✔️
For more insights and tutorials on LLMs, AI Agents, and Machine Learning! https://t.co/GaVYhQRixwIf you found it insightful, reshare with your network. Find me → @akshay_pachaar ✔️ For more insights and tutorials on LLMs, AI Agents, and Machine Learning! Akshay 🚀 (@akshay_pachaar) Another blow to Anthropic! Devs built a free and better Claude Cowork alternative: – 100% local – voice-enabled – works with any LLM – MCP tool extensibility – obsidian-compatible vault – background agents & web search – automatic knowledge graph creation 100% open-source. — https://nitter.net/akshay_pachaar/status/2041856590341677378#m
→ View original post on X — @akshay_pachaar, 2026-04-08 12:32 UTC
