Why Doesn't Adding Another Mac Automatically Make an LLM Faster?
Meta's new 816B model can run across Macs. But Apple's results show that adding memory and accelerating inference are different jobs—and the way you split the work matters.
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Articles
18 pieces on AI systems, inference, agents and the infrastructure underneath them.
Why Does CERN Want a Foundation Model for Physics?
CERN and Mistral plan to train a Large Physics Model on simulated collisions. Earlier experiments help explain the promise of transferable scientific models and the tests this new programme still needs to pass.
Can a Local AI Agent Do More Than Just Pick a Tool?
Liquid AI's LFM2.5-24B-A2B raises a practical question: can a local model handle an agent's full working loop? A look at tool use, reasoning, published benchmarks, memory, and the surrounding application.
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Why Is DeepSeek V4.1 Flash So Fast?
Introduction DeepSeek released DeepSeek V4.1 Flash on September 10, 2026 , describing it as a 552B-parameter Mixture-of-Experts model designed for faster inference, higher throughput, and…
How Far Can an 8 MB Model Go Before You Need an LLM?
Most AI applications today follow a pretty simple pattern: user says something → LLM understands it → LLM decides which tool to call. But do we really need a large language model for that entire…
Jev : if-else on steroids?
Models have been superhuman at chat for years, so where is all the automation? - TypeSafe Hmm, now that's interesting, This quote from TypeSafe team was enough to hook me into this tool. So, what…
