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> There is SO MUCH we haven't figured out about how to use them yet. I mean, it's pretty clear to me they're a potentially great human-machine interface, but t
by niobe 2y ago
> There is SO MUCH we haven't figured out about how to use them yet.
I mean, it's pretty clear to me they're a potentially great human-machine interface, but trying to make LLMs - in their current fundamental form - a reliable computational tool.. well, at best it's an expensive hack, but it's just not the right tool for the job.
I expect the next leap forward will require some orthogonal discovery and lead to a different kind of tool. But perhaps we'll continue to use LLMs as we knownthem now for what they're good at - language.
- simonw 2y agoOne of the biggest challenges in learning how to use and build on LLMs is figuring out how to work productively with a technology that - unlike most computers - is inherently unreliable and non-deterministic. It's possible, but it's not at all obvious and requires a slightly skewed way of looking at them.
- XenophileJKO 2y agoThis really reminds me of a trend years ago to create probabilistic programming constructs. I think it was just a trend way ahead of its time. Typical software engineers tend to be very ill-suited to think in probabilities and how to build reasonably reliable systems around them.