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.
The big problem with the latter statement isn't so much exaggeration, but something a bit more subtle. It is that people start to believe you. But then they sit waiting, and in that waiting eventually get disappointed. When that happens the usual response often feeds into conspiracies (perpetuating the overall distrust in science) or generates an overall bad sentiment against the whole domain.
The problem is that companies are bootstrapping with hype. The problem is that this leads to bubbles and makes it a ripe space for conmen, who just accelerate the bubble. There's no problem with Google/Microsoft/OpenAI/Etc talking to researchers/developers in the language of researchers/developers, but there is a problem of them talking to the average person in the language of the future. It's what enables the space for snakeoil like Rabbit or Devin. Those steal money from normal people and takes money from investors that could be better spent on actually pushing the research of the tech forward so that we can eventually have those products.
I understand some bootstrapping may be necessary due to needing money to even develop things, but certainly the big companies are not lacking in funding and we can still achieve the same goals while being more honest. The excitement and hope isn't the problem, it is the lying. "Is/Can" vs "will/we hope to"
Either way, AlphaFold is one of the greatest achievements in science so far, and the funding agencies definitely are paying lots of attention to funding additional work in machine learning/biology, so in some sense, my statement is effectively true, even if not pedantically, literally correct.
If your "causal speech" is lying, then I don't think the problem is someone getting "triggered", I think it is because you lied.
> write long analytic responses
I'll concede that I'm verbose, but this isn't Twitter. I'd rather have real conversations.