Why generative AI is suddenly on everyones lips its an open field

News Summary

  • How do you create network effects?Who makes money here?The application layer where people are going to go after the distribution and the network effects is where you’re going to make the money.What about large companies that will be able to incorporate this technology into their networks.
  • And because the open source versions are a third or a fifth or a twentieth the cost of Open AI, you’re going to see a lot of price competition, and you’re going to see a proliferation of these models that compete with Open AI.
  • I think everyone in this space is going to have an opportunity to do well if they navigate properly; they’re just going to have to be smart about it.NFX has much more on its site about generative AI that’s worth reading, by the way; you can find that here.
  • So you might have an AI model that really looks at making poetry, or AI models that really look at how you make visual images of dogs and dog hair, or you’ll have one that’s really specialized in writing sales emails.
  • So what’s happened is, these algorithms are riding Moore’s law — [with vastly improved] storage, bandwidth, speed of computation — and have suddenly become able to produce something that looks very much like what a human would produce.
  • It seems to me that the people who win are Google Cloud and AWS because we’re all just going to be generating stuff like crazy.It might be that Open AI ends up moving up or moving down.
If youve been closely following the progress of Open AI, the company run by Sam Altman whose neural nets can now write original text and create original pictures with astonishing ease and speed, you [+9011 chars]