context windows
2 published articles
Labs & Research5 min read
AI / Agentic Coding Research
Blast Radius buries dead context. Zero of 450 bodies came back
A new arXiv paper, Blast Radius, treats wasted agent context as dead matter and buries it reversibly: 17-26% token savings across seven OpenAI models, 450 archived contexts, zero recalls. The paper's bolder goal is making agentic coding sustainable, one reclaimed token at a time.
2026-08-19
LLMs & Models3 min read
effective context, output ceilings, and the hidden tax of long windows
Your AI model says it can read 1 million tokens. It's lying. Here's the real math.
All four frontier LLMs advertise 1M+ token contexts, but effective recall, output limits, and real-world cost differ sharply. DeepSeek V4 Pro leads in output ceiling and cost, Gemini excels under 200K tokens, and Claude Opus wins on caching for interactive code review. This analysis breaks down the numbers from April 2026.
2026-06-30