7 posts.
An LLM agent with a million-token window still forgets what you told it last week. Memory is not a bigger context; it is a separate system that decides what to write down, how to summarize it, and what to pull back. Here is how t…
An agent that can act for eight hours still thinks inside a window that holds a few hundred thousand tokens. The gap between those two numbers is where most agent failures now live, and closing it has become its own engineering d…
A million-token window promises perfect recall of everything you feed it. Controlled tests on 18 frontier models show recall degrading steadily, unevenly, and well before the window fills, a pattern researchers now call context rot.
The same 1024x1024 screenshot costs 576 visual tokens in one model and 2,880 in another, and the cheap one cannot read the text. The rule that turns pixels into tokens is the least examined hyperparameter in the multimodal stack,…
A frontier model can write a function. An agentic runtime can read a codebase, plan a migration, edit forty files, run the tests, fix what broke, and open a pull request. The difference is not intelligence; it is the system that …
Most teams still treat Anthropic as 'the Claude API.' That framing misses the platform that has grown around it: managed agents, a universal integration protocol adopted by every major AI vendor, a governance layer with 28 securi…
One workflow, 150,000 tokens down to 2,000. A subagent that burns fifty thousand tokens and returns fifteen hundred. A hundred installed skills that cost two thousand tokens until one is needed. Four separate advances, four separ…