While it would be a hilarious failure mode to encounter, this is actually a good thing!
These models already have the skills that humans were using them for, so either by training the models to use subagents or simply inlining the work done by the AI, you have a much easier time training the model to perform tasks from a human-distribution. The humans have done the work of making the human-distribution look more like an AI distribution.
Not when all of the marketing of LLMs is touting their abilities to do the exact thing and that is what investors are being presented.
If it is as you say, then eventually the house of cards will crumble. Then we can finally go back to work and quit being inundated with needing to use AI for everything.
I think it's partly because "sit" is one of the first commands they learn so if they're not sure what to do, they'll default to sit as that often gets the treat.
That's also why you teach "sit" first before, "bite the face of the person in front of me" (talking German Shepherds again)
Open access typically means authors pay a publication fee, which leads to the same result of the government paying twice and the journal profiting twice.
insertDrakeMeme()
nah: Actor-Critic Models
ayy: Actor Model
In seriousness, huge fan! multi-agent systems are inherently distributed systems, and we've solved the problem of organizing distributed systems before through actors.
...Just wait until we get multi-agent systems with enough agents to need distributed consensus!
recover()'s semantics make it so that "pointless" use like this can be inlined in a way that changes its semantics, but "correct" use remains unchanged.
Yes, maybe some code uses recover() to check if its being called as a panic handler, and perhaps `go fix` should add a check for this ("error: function to be inlined calls recover()"), but this isn't a particularly common footgun.
These models already have the skills that humans were using them for, so either by training the models to use subagents or simply inlining the work done by the AI, you have a much easier time training the model to perform tasks from a human-distribution. The humans have done the work of making the human-distribution look more like an AI distribution.
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