We built an evaluation framework to measure how much context different compression strategies preserve. After testing three approaches on real-world, long-running agent sessions spanning debugging, code review, and feature implementation, we found that structured summarization retains more useful information than alternatives from OpenAI and Anthropic. — Read More
Daily Archives: December 22, 2025
The changing drivers of LLM adoption
In the world of AI, half a year is a very long time. Back in July, we saw LLMs being adopted faster than almost any other technology in history. Five months later we’re still seeing rapid growth, but we’re also seeing early winds of change — both in who uses AI and how they do so.
Using the latest public data,1 and a poll of US adults we conducted with Blue Rose Research, this post shares an updated picture of the state of LLM adoption. — Read More
Rick's Cafe AI 