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Comment by elpakal | Hacker News Reader

I think we'll find that, when the dust settles, AI's usefulness wasn't as impactful as we thought. AI is only as good as its data and no meaningful dataset is 100% representative and 100% accurate IMHO. Don't get me wrong-- it's neat and all, and it can be somewhat useful in the right context, but the hype is huge. Much bigger than Kubernetes ever saw and probably bigger than blockchain.

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There's a huge win to be had though with "this is my natural language data, give me natural language insights at a 100 foot view, at a 50,000 foot view, etc". This is one of the big pulls OpenAI is hoping for w/ GPTs/Assistants.

Too bad this costs a few million (only if you're using insanely subsidized hardware).

OpenAI just launched their RAG with the Assistants feature that can ingest a fair bit of documents you choose to upload. So while not enterprise grade just yet, there is immediate utility on the horizon and of course other services have provided something like this for months now.

To the parent's point, when the dust settles something like this will probably be commoditized at scale and will likely have a sizable impact on society.

Yes, that service is the one that may cost millions that I am referencing.

> data and no meaningful dataset is 100% representative and 100% accurate IMHO

And? What point are you trying to make here?

People seem to think that LLMs are going to be this source of truth that everyone can rely on to give them the information they need. Which for certain use cases e.g. text based is fine because you can tolerate inaccuracies.

But I have worked at highly regulated finance companies who aren't interested in LLMs at all. Because their business can't tolerate if your model returns a figure or calculation that is inaccurate.

https://www.bloomberg.com/company/press/bloomberggpt-50-bill... lol

You are picking out a specific use-case as an invalidation of a wide idea and concept. “This is thos _one thing_ an LLM cannot do for us so all of it is useless.

I bet LLMs help them pitch their MBS CDOs to shadow banks, though.

Your point is still not clear

That it will be inaccurate. A lot.

This drug only helps 80% of patients, it’s useless.

This drug only killed 20% of patients. We should sell it.

Great analogy for LLMs, I think you understood my point perfectly.

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