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Joined 1 year ago
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Cake day: June 4th, 2023

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  • Still, some are closer to the source of these ideas than others, think about awards attributed to individuals for example.

    This is where the researchers would disagree with you. I don’t know if you’ve ever been involved in research (or startups). There’s a common saying that ideas are a dime a dozen. It’s much more so the work you do that’s important, not the idea itself.

    singers, actors, politicians, or youtubers

    Notice how being in the spotlight is an important aspect of all the professions you’ve listed. That naturally selects for people who are comfortable with or enjoy being on camera and are good at that kind of live performance. Similarly, science selects for people who are good at doing science. Sometimes, there’s an overlap, but it’s not that common.

    If you’re interested in interviews with prominent scientists, Lex Fridman does quite a few of those. But if you want more people to do this, you’ll have to contend with the fact that most scientists simply have no interest in being on camera and probably never developed the skills needed for it.


  • We likely don’t know much about the researchers of modern technology because they’re often created by a huge team of hundreds of people. There’s no single person responsible for the bulk of the work. In the case of ChatGPT and the line of work leading up to it, it was very much also the researchers’ choice as well to not name a specific person as being the main contributor. For example, the transformer paper had all the author names shuffled so the credit doesn’t all end up with one person.














  • I would argue that this would make nurses less important, and would make them “lazy” by not giving them opportunities to identify these simple things on a regular basis.

    Not just nurses, but doctors too. This exact problem was discussed at a conference I recently attended. Some doctors do better with AI assistance, some do worse. As far as we know, it seems to be dependent on how much they “believe in AI”. The more they do, the worse they perform when assisted.