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I don't think I agree, entirely. The problem is that up until _very_ recently, it's been possible to get LLMs to generate interesting and exciting results (as
by maccard 2y ago
I don't think I agree, entirely.
The problem is that up until _very_ recently, it's been possible to get LLMs to generate interesting and exciting results (as a result of all the API documentation and codebases they've inhaled), but it's been very hard to make that usable. I think we need to be able to control the output format of the LLMs in a better way before we can work on what's in the output. I don't konw if MCP is the actual solution to that, but it's certainly an attempt at it...
- sksxihve 2y agoThat's reasonable along with your comment below too, but when you have the ceo of anthropic saying "AI will write all code for software engineers within a year" last month I would say that is pretty hard to believe given how it performs without user intervention (MCP etc...). It feels like bullshit just like the self driving car stuff did ~10 years ago.
- maccard 2y agoI completely agree with you there. I think we're a generation away from these tools being usable with light supervision in the way I _want_ to use them, and I think the gap between now and that is about 10x smaller than the gap between that and autonomous agents.