https://www.danilchenko.dev/tags/long-context/Recent content in Long-Context on danilchenko.devHugoen-usWed, 22 Apr 2026 00:06:00 +0000https://www.danilchenko.dev/posts/asynctls-sparse-attention/Wed, 22 Apr 2026 00:06:00 +0000https://www.danilchenko.dev/posts/asynctls-sparse-attention/AsyncTLS sparse attention fuses block filtering, token selection, and async KV cache offloading for 1.3-4.7x throughput gains at 48k-96k token contexts.https://www.danilchenko.dev/posts/recursive-language-models/Sat, 18 Apr 2026 06:00:00 +0000https://www.danilchenko.dev/posts/recursive-language-models/Recursive language models treat a huge prompt as a Python variable the model can grep and recurse over. MIT's paper shows it beats GPT-5 on long context.https://www.danilchenko.dev/posts/2026-04-11-triattention-kv-cache-compression-long-reasoning/Sat, 11 Apr 2026 06:00:00 +0000https://www.danilchenko.dev/posts/2026-04-11-triattention-kv-cache-compression-long-reasoning/TriAttention uses pre-RoPE vector concentration and trigonometric scoring to compress KV cache 10.7x while matching full attention accuracy on reasoning tasks.