Mage-VL-Cowork combines screenshots and terminal execution in one small model. A practical look at its training recipe, official demo, reported OSWorld results and the state-management problem behind hybrid desktop agents.
Carbon-X adds DNA tokens to a 14.8B chat model. A close look at its tokenizer, vendor benchmarks, local demo, and the gap between fluent answers and grounded sequence reasoning.
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.
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.
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…
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