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How Anthropic is thinking abt memory github.com/anthropics/ant…

Some notes from AI Engineer day 1 - Simon Willison on state of AI > Visual eval for LLMs: asked each LLM to generate code for an SVG image of a pelican riding a bicycle. Ran this across ~30 model releases over the past 6 months. Created a script to select random image pairs, GPT4.1

a few thoughts on the current state of agents based on what I saw at AI Engineer: + rise of "ambient" agents + the bitter lesson & agent UX + RL for non-verifiable tasks + the case for MCP + early days for agent memory rlancemartin.github.io/2025/06/10/aie/