Until AI researchers and practitioners find ways to overcome those challenges -- possibly requiring new breakthroughs -- the technology won't live up to the hype.
Eventually, I believe AI will live up to the hype. But no one knows with certainty how long it will take to get there.
Shame on anyone who pretends otherwise to sell snake-oil!
>There are still quite a few challenges to making LLMs work reliably.
I'm not unsold that AI will continue to improve but I'd be weary of this claim. LLM's reliably do what they are supposed to do and it appears they're reaching an asymptote in capability. If what you're wanting is a truthful chatbot, you're probably barking up the wrong tree with LLMs.
Do LLMs have utility? There's enough people on HN to convince me there are legitimate uses for them. However, many of the people using them are also the people desperate to legitimize their utility, so it's honestly hard to know. I personally have not found any application for LLMs in my life and would discourage anyone working on anything remotely mission critical from using them for code generation. But I've definitely heard of a few real world uses.
I agree, it may not be possible to overcome those challenges with LLM's specifically. We could well end up needing something other than LLMs, or new kinds of AIs that use LLMs. No one yet knows.
There are still quite a few challenges to making LLMs work reliably. For example, see https://huyenchip.com/2023/08/16/llm-research-open-challenge....
Until AI researchers and practitioners find ways to overcome those challenges -- possibly requiring new breakthroughs -- the technology won't live up to the hype.
Eventually, I believe AI will live up to the hype. But no one knows with certainty how long it will take to get there.
Shame on anyone who pretends otherwise to sell snake-oil!