I just mean it demonstrated solving something challenging in a convincing way, justifying a great deal of additional resources being dedicated to applying ML to a wide range of biological research.
Not that it actually generates revenue or solves any really important health problems.
My comment was a bit tongue in cheek. Not every research is going to be profitable or eventually profitable, but that also doesn't mean it isn't useful. If we're willing to account for the indirect profits via learning what doesn't work (an important part of science), then this vastly diminishes the number of worthless papers (to essentially those that are fraudulent or plagiarism)
But as specifically for AlphaFold, I'm going to need a citation on that. If I understand the calculus correctly, Google acquired DM in 2014 for somewhere between $525 million to $850 million, and yearly spends a similar amount each year along with forgiving a 1.5bn dollar debt[0]. So I think (VERY) conservatively we can say $2bn (I think even $4bn is likely conservative here)? While I see articles that discuss how the value could be north of $100bn[1] (which certainly surpasses a very liberal estimate of costs), I have yet to see evidence that this is actual value that has been returned to Google. I can only find information about 2022 and 2023 having profits in the ballpark of $60m.
This isn't to say that AlphaFold won't offset all the costs (I actually believe it will), but I your sentence does not suggest speculation but rather actualization ("has basically paid", "been"). I think that difference matters enough that we have a dozen cliches with similar sentiment. In the same way my annoyance is not that we are investing in ML[2], but how quick we are to make promises and celebrate success[3]. Actually, my concern is that while hype is necessary, overdoing it allows charlatans[4] to more easily enter the space. And if they are able to gain a significant foothold (I believe that is happening/has happened) then this is actually destructive to those who actually wish to push forward technology.
[0] https://www.quora.com/How-much-money-did-Google-spend-on-Dee...
[1] https://www.bloomberg.com/news/articles/2024-05-08/deepmind-...
[2] disclosure, I'm an ML researcher. I actually am in favor of more funding. Though different allocation.
[3] I'm willing to concede that success is realistically determined by how one measures success, and that this may be arbitrary and no objective measure actually exists or is possible.
[4] One needs not knowingly be a charlatan. Only that the claims made are false or inaccurate. There are many charlatans who believe in the snake oil they sell. Most of these are unwilling to acknowledge critiques. A clear example is religion. If you believe in a religion, this applies to all religious organizations except the one you are a part of. If you are not religious, well the same sentence holds true but the resultant set is one larger.