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I am tech founder, who spends most of my day in my own startup deploying LLM-based tools into my own operations, and I'm maybe 1% of the way through the roadmap I'd like to build with what exists and is possible to do today.

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croes 2 days ago | parent | next [-]

What has your roadmap to do with the capabilities?

LLMs still hallucinate and make simple mistakes.

And the progress seams to be in the benchmarks only

https://news.ycombinator.com/item?id=43603453

	▲	edanm 2 days ago \| parent [-]
		The parent was contradicting the idea that the existing AI capabilities have already been "digested". I agree with them btw. > And the progress seams to be in the benchmarks only This seems to be mostly wrong given peoples' reactions to e.g. o3 that was released today. Either way, progress having stalled for the last year doesn't seem that big considering how much progress there has been for the previous 15-20 years.

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Jensson 2 days ago | parent | prev | next [-]

> and I'm maybe 1% of the way through the roadmap I'd like to build with what exists and is possible to do today.

How do you know they are possible to do today? Errors gets much worse at scale, especially when systems starts to depend on each other, so it is hard to say what can be automated and not.

Like if you have a process A->B, automating A might be fine as long as a human does B and vice versa, but automating both could not be.

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danielmarkbruce 2 days ago | parent | prev [-]

100% this. The rearrangement of internal operations has only started and there is just sooo much to do.