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1.
Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere' (venturebeat.com)
2.
Xiaomi's HarnessX rewrites its own AI scaffolding mid-task — and smaller models gain the most (venturebeat.com)
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Even 'uncensored' models can't say what they want (news.ycombinator.com)
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We got 207 tok/s with Qwen3.5-27B on an RTX 3090 (news.ycombinator.com)
5.
Kimi K2.6: Advancing open-source coding (news.ycombinator.com)
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Frontier models are failing one in three production attempts — and getting harder to audit (venturebeat.com)
7.
Running local models on Macs gets faster with Ollama's MLX support (arstechnica.com)
8.
LLM Neuroanatomy II: Modern LLM Hacking and Hints of a Universal Language? (news.ycombinator.com)
9.
Flash-MoE: Running a 397B Parameter Model on a Laptop (news.ycombinator.com)
10.
MacBook M5 Pro and Qwen3.5 = Local AI Security System (news.ycombinator.com)
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Qwen3.5-397B at 4.74 tok/s using 5.9GB RAM (news.ycombinator.com)
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Qwen3.5 122B and 35B models offer Sonnet 4.5 performance on local computers (news.ycombinator.com)
13.
Qwen3.5: Towards Native Multimodal Agents (news.ycombinator.com)
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