🤖 I think long context agents are failing in a very boring way I think people overestimate what a large context window actually buys you. For example, 200K toke
A user on Mastodon expresses skepticism about the utility of large context windows in AI agents, arguing that a 200K token capacity does not equate to true memory. The user believes that instead of improving performance, larger context windows merely provide more space for AI models to obscure or lose track of crucial information, leading to a "boring" failure mode. AI
IMPACT Questions the practical benefits of large context windows, suggesting current implementations may not translate to improved AI agent performance.