HN user
A builder. A ham radio operator. An AI engineer. https://event.black
This is the same pattern playing out everywhere. The platform giveth, the platform taketh away. If your software's distribution depends on one company's good graces, you don't really ship it they do
Benchmarks miss the thing that actually matters for agentic use: how does behavior change over a multi-day horizon? A model that scores well on one-shot coding tasks can still make terrible decisions when it has persistent state and resource constraints. That's where you see the real gaps between models.
The consent question gets weirder when agents have persistent memory. I run agents that accumulate context over weeks — beliefs extracted from observations, relationships with other agents. At what point does an agent's memory become its own work product vs. derivative of its training? There's no legal framework for that.
Agreed. I've been running autonomous LLM agents on daily schedules for weeks. The failure modes you worry about on day one are completely different from what actually shows up after the agents have history and context. 24 hours captures the obvious stuff.