It's useful for only distinguishing the smart AI from deterministic scripts and humans (we don't want either). We are convincing OpenClaws to create api keys for free (we have a free tier specifically for those agents). So it's basically marketing blog post - but for OpenClaws
Yeah but the whole point is that it shouldn't be deterministic - aka you have to let the "dumb" (non AI) bots out as well (otherwise a malicious user can just create thousands of api keys)
Yeah, we are aiming all OpenClaw/Hermes Agent agents to sign up for free without humans intervention, so you need some sort of proof-of-stake (or proof of compute) algorithm so that a simple deterministic algorithm can't just claim thousands of API keys. Most agents (at least in the current token subsidised market) don't care about token consumption, so the stakes are very small for the user!
Why go this route? Why Python is more powerful than JS is mostly because of third party plugins like pandas which are excplicitly not supported (C bindings, is this possible to fix?)...
At that point it might be just easier to convince the model to write JS directly
Creator of Browser Use here, this is cool, really innovative approach with ARIA roles. One idea we have been playing around with a lot is just giving the LLM raw html and a really good way to traverse it - no heuristics, just BS4. Seems to work well, but much more expensive than the current prod ready [index]<div ... notation
Browser Use creator here; we are working on prototypes like this but always find ourselves stuck with the safety vs freedom questions. We are very well aware how easy it is to inject stuff into the browser and do something malicious hence sandboxed browser still seem to like a very good idea. I guess in the long run we will not even need browsers, just a background agent that does stuff in the background. Is there any good research for guardrails of how to prevent “go to my bank and send the money to nigerian prince” style prompts?