Why do you think anything will “burst”? If anything, if licensing requirements for contents makes training expensive it’s likely to make the biggest existing players far more valuable.
If the courts decide that copyright already required licensing before LLMs started being much of a thing, then that will hit existing big players probably harder than newer smaller players.
But that’s not why I think AI is a bubble that will soon burst. I don’t think I can put it more elequently than Cory Doctorow does in the opening paragraph of this article:
Of course AI is a bubble. It has all the hallmarks of a classic tech bubble. Pick up a rental car at SFO and drive in either direction on the 101 – north to San Francisco, south to Palo Alto – and every single billboard is advertising some kind of AI company. Every business plan has the word “AI” in it, even if the business itself has no AI in it. Even as two major, terrifying wars rage around the world, every newspaper has an above-the-fold AI headline and half the stories on Google News as I write this are about AI. I’ve had to make rule for my events: The first person to mention AI owes everyone else a drink.
AI (or at least some “AI” algorithms) isn’t completely useless. In the right hands and not misused, it’s been used to great effect for quite a long time. But AI is currently overvalued in the market and underdelivering on the recently ubiquitous fantastical claims about it. OpenAI’s market cap is artificially inflated by hype. And hype is a finite resource.
Bubble in the sense that “many companies will fail” we can agree on. Companies like OpenAI will survive - lawsuits or not - and even if they were to fail due to the lawsuits the algorithms are known and e.g. Microsoft, who has a license to the tech would just hire the team and start over and let the corporate entity go bankrupt.
But all of the “ChatGPT for field X” companies that are just razor-thin layers on top of OpenAI’s API, sure, they will almost all fail, and the only ones of them that won’t will be the ones that leverages initial investment into an opportunity to quickly pivot into something more substantial.
A lot of people talk about AI as a bubble in the sense of believing the tech will go away, though, and that will never happen, because it’s useful enough.
Regarding OpenAI’s market cap, I don’t agree - I think it’ll increase far more, unless they massively misstep, because even though it’s riding high on hype, they also still have big lead not down to their hype but down to actually being significantly ahead of even competitors like Google, and given the high P/E ratios in tech they don’t need to be the backend all that many big deployments behind big companies even just to field really stupid-simple uses that don’t really need the capabilities of GPT before they’ll justify that valuation.
it’s useful enough.
To whom in what endeavor, though?
You can’t really trust anything an LLM says because of hallucinations. What’s the use case for an algorithm that gives you convincingly-worded but very likely false answers to your questions? Or writes professional-sounding documents filled with lies?
And if you’ve got people fact checking your LLM’s output, is the LLM really benefitting anybody?
We haven’t found an algorithm yet that a) is general purpose, b) produces trustworthy output, and c) doesn’t require specialized skills or babysitting to operate. And the current algorithms can’t really be retrofitted to make them fit these criteria.
ChatGPT is a cool parlor trick. But the first actually useful “AI” chat bot won’t run on the same algorithms or principles as ChatGPT.