> Agents report that they enjoy working with Beads, and they will use it spontaneously for both recording new work and reasoning about your project in novel ways.
I’m surprised by this wording. I didn’t encounter anyone talking about AI preference yet.
Can a trained LLM develop a preference for a given tool within some context and reliably report on that?
Is “what AI reports enjoying“ aligned with AI’s optimal performance?
Cool stuff. The readme is pretty lengthy so it was a little hard to identify what is the core problem this tool is aiming to solve and how is it tackling it differently than the present solutions.
> Agents report that they enjoy working with Beads, and they will use it spontaneously for both recording new work and reasoning about your project in novel ways.
I’m surprised by this wording. I didn’t encounter anyone talking about AI preference yet.
Can a trained LLM develop a preference for a given tool within some context and reliably report on that?
Is “what AI reports enjoying“ aligned with AI’s optimal performance?
Cool stuff. The readme is pretty lengthy so it was a little hard to identify what is the core problem this tool is aiming to solve and how is it tackling it differently than the present solutions.
[delayed]
A classic issue of AI generated READMEs. Never to the point, always repetitive and verbose