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This isn't incorrect, it's just ambiguous. The JWST did indeed "take the first pictures" of a planet outside our solar system (https://www.npr.org/2023/01/12/1148626359/nasa-webb-telescop...). However, we have previously directly imaged other exoplanets using different instruments—it's just that this exoplanet in particular (LHS 475 b) has never been directly imaged before Webb. It's the sort of question where you would expect an expert (or a thoughtful layperson with access to a search engine and a few minutes of spare time) to give a better, less ambiguous answer. However, since it is technically correct, I think it's a fairly minor sin in the grand scheme of popular science education, which commonly propagates actual falsehoods without the help of generative ML—e.g. iodine always sublimes rather than melting, aerodynamic lift relies on equal travel time of air on both sides of a curved airfoil, etc. re: this particular ambiguity, one does wonder what the model was "thinking", but I suppose it doesn't matter because we'll never know. --- I'm not sure if I think this technology is good or bad, because I don't really understand how most people use search engines. When I use them myself, I think I am fairly sensitive to ambiguities and logical contradictions, cross-checking multiple sources to extract a high-confidence answer or walking away if I'm not satisfied that I've found one. Most folks on HN are probably the same way, and I don't think generative ML can do better than us, yet. On the other hand, will Bard's results be better or worse than e.g. taking the first Quora result as gospel? I would honestly guess that, on average, Bard (and ChatGPT, etc.) will do better. So, less critical users may get better results from these systems. How many people are in the former camp, and how many in the latter? Of course, changing the dominant search paradigm will have an effect on all users. It also remains to be seen how the search vs. spammers arms race will evolve with the advent of generative ML search tools. |