This is heading in the wrong direction.
> The future of AI agents is one where models work seamlessly across hundreds or thousands of tools.
Says who? I see it going the other way - less tools, better skills to apply those tools.
To take it to an extreme, you could get by with ShellTool.
Using shell as an intermediary is the same kind of indirection as tool search and tool use from code, so I think you are largely agreeing with their substantive sentiment while disagreeing with their word choice.
Not exactly. Proliferation of tools built into agents for computer user is anti-thematic given that computer use is a key focus for model development.
Why build a tonne of tool-use infra when you could simplify instead?
Yeah I kind of agree. I think there's demand for an connector ecosystem because it's something we can understand and market, but I think it's the wrong paradigm
While maybe the model could do everything from first principles every time, once you have a known good tool that performs a single action perfectly, why not use that tool for that action? Maybe as part of training, the model could write, test, and learn to trust its own set of tools, rather than rely on humans to set them up afterwards.
In this case LLM would have to write a bunch of stuff from scratch though and might call APIs wrongly.