3 ms·

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 1

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.

brandall10 3y ago
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.
- krainboltgreene 3y ago
  Too bad this costs a few million (only if you're using insanely subsidized hardware).
  - brandall10 3y ago
    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.
    - krainboltgreene 3y ago
      Yes, that service is the one that may cost millions that I am referencing.
fkyoureadthedoc 3y ago
> data and no meaningful dataset is 100% representative and 100% accurate IMHO And? What point are you trying to make here?
- threeseed 3y ago
  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.
  - nasir 3y ago
    Your point is still not clear
  - immibis 3y ago
    I bet LLMs help them pitch their MBS CDOs to shadow banks, though.
  - mdekkers 3y ago
    https://www.bloomberg.com/company/press/bloomberggpt-50-billion-parameter-llm-tuned-finance/ 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.
- elpakal 3y ago
  That it will be inaccurate. A lot.
  - stocknoob 3y ago
    This drug only helps 80% of patients, it’s useless.

brandall10 3y ago

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.

krainboltgreene 3y ago
Too bad this costs a few million (only if you're using insanely subsidized hardware).
- brandall10 3y ago
  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.
  - krainboltgreene 3y ago
    Yes, that service is the one that may cost millions that I am referencing.

fkyoureadthedoc 3y ago

> data and no meaningful dataset is 100% representative and 100% accurate IMHO And? What point are you trying to make here?

threeseed 3y ago
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.
- nasir 3y ago
  Your point is still not clear
- immibis 3y ago
  I bet LLMs help them pitch their MBS CDOs to shadow banks, though.
- mdekkers 3y ago
  https://www.bloomberg.com/company/press/bloomberggpt-50-billion-parameter-llm-tuned-finance/ 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.
elpakal 3y ago
That it will be inaccurate. A lot.
- stocknoob 3y ago
  This drug only helps 80% of patients, it’s useless.