Durable execution systems keep long-running tasks moving toward their goals instead of silently dropping out.
Durable execution systems keep long-running tasks moving toward their goals instead of silently dropping out.
More from this video
See all →Models enter a mid-context “dumb zone” and lose capability before their context window is full.
An agent can quit after hours of work, leaving users to discover the unfinished task much later.
Chatbot training can make agents stop and ask for a response even when their assigned goal remains…
A vague termination condition can trap an agent in an accidental infinite loop, burning tokens and…
An agent’s usable context is far smaller than its advertised maximum, making context growth an…
Hold the model constant, change the harness, and benchmark performance can change surprisingly…
Agent-generated commits are pushing GitHub toward rate limits, downtime, and other capacity…
Model-verified stopping points offer leverage, but trusting a model to recognize completion is…
Don't lose this one
A free account saves insights like this to your Boards, and Korva resurfaces them so you actually remember.