I develop sophisticated LLM programs every day at a small YC startup — extracting insights from thousands of documents a day.
These LLM programs are very different than naive one-shot questions asked of ChatGPT, resembling o1/3 thinking that integrates human domain knowledge to produce great answers that would have been cost-prohibitive for humans to do manually.
Naive use of LLMs by non-technical users is annoying, but is also a straw-man argument against the technology. Smart usage of LLMs in o1/3 style of emulated reasoning unlocks entirely new realms of functionality.
LLMs are analogous to a new programming platform, such as iPhones and VR. New platforms unlock new functionality along with various tradeoffs. We need time to explore what makes sense to build on top of this platform, and what things don’t make sense.
What we shouldn’t do is give blanket approval or disapproval. Like any other technology, we should use the right tool for the job and utilize said tool correctly and effectively.
There is nothing to build on top of this AI platform as you call it. AI is nothing but an autocorrect program, AI is not innovating anything anywhere. Surprises me how much even the smartest people are deceived by simple trickery and continue to fall for every illusion.
>Naive use of LLMs by non-technical users is annoying, but is also a straw-man argument against the technology. Smart usage of LLMs in o1/3 style of emulated reasoning unlocks entirely new realms of functionality.
I agree in principle, but disagree in practice. With LLMs available to everyone, the uses we're seeing currently will only proliferate. Is that strictly a technology problem? No, but it's cold comfort given how LLM usage is actually playing out day-to-day. Social media is a useful metaphor here: it could potentially be a strictly useful technology, but in practice it's used to quite deleterious effect.
These LLM programs are very different than naive one-shot questions asked of ChatGPT, resembling o1/3 thinking that integrates human domain knowledge to produce great answers that would have been cost-prohibitive for humans to do manually.
Naive use of LLMs by non-technical users is annoying, but is also a straw-man argument against the technology. Smart usage of LLMs in o1/3 style of emulated reasoning unlocks entirely new realms of functionality.
LLMs are analogous to a new programming platform, such as iPhones and VR. New platforms unlock new functionality along with various tradeoffs. We need time to explore what makes sense to build on top of this platform, and what things don’t make sense.
What we shouldn’t do is give blanket approval or disapproval. Like any other technology, we should use the right tool for the job and utilize said tool correctly and effectively.