A Virginia Tech preprint shows model-native skills extracted via sparse autoencoders outperform human-defined skill files in SFT — and produce 41% gains on math via activation-space data selection.
A new paper freezes GPT-5.4's weights and puts all learning in an editable text harness, hitting 61% on prediction benchmarks where the base model scores 44%.
Meta released Llama 4 under its updated open-source license, featuring built-in context engineering primitives and a 2M token context window — a significant milestone for the open-source LLM ecosystem.
A comparative analysis of the open-source LLM ecosystem entering Q2 2026 — benchmarking performance against proprietary alternatives, mapping the licensing landscape, and calculating total cost of ownership for self-hosted deployments.
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