AI tools are doing amazing things with data mining, discovering potential antibiotics, working with medical diagnostics, etc. This isn't technically AI - not what we think of with an LLM - but machine learning. This, to me, is one of the areas where this technology may provide the most important results.
As for random images with mistakes, the risk is that these mistakes are reinforced in LLMs, rather than being weeded out by natural selection. There is no "selection," other than human correction. it's not like images of people with six fingers on each hand will not have offspring, leading to that trait becoming rarer.
But in physics and chemistry and biology and medicine; these are areas where these tools are going to come up with breakthroughs. I think it's wrong, however, to put them on the same level as generative AI LLM tools. Machine learning is very different from chatbots that use a massive dataset to answer questions. (ie, gen AI uses machine learning to refine its dataset, but ML doesn't use gen AI to provide answers to questions.)
Gassho,
Ryūmon (Kirk)
Sat Lah
As for random images with mistakes, the risk is that these mistakes are reinforced in LLMs, rather than being weeded out by natural selection. There is no "selection," other than human correction. it's not like images of people with six fingers on each hand will not have offspring, leading to that trait becoming rarer.
But in physics and chemistry and biology and medicine; these are areas where these tools are going to come up with breakthroughs. I think it's wrong, however, to put them on the same level as generative AI LLM tools. Machine learning is very different from chatbots that use a massive dataset to answer questions. (ie, gen AI uses machine learning to refine its dataset, but ML doesn't use gen AI to provide answers to questions.)
Gassho,
Ryūmon (Kirk)
Sat Lah
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