. "And fake it till you make it may work in Silicon Valley, but for the rest of us, I think once bitten twice shy may be more appropriate for AI."It's a notable vote of no confidence, highlighting growing concerns that the sheer amount of capital being poured into AI could lead to a dot-com-style bubble.
Ferguson noted some glaring shortcomings with the technology, including "hallucinations," a term used to denote lies dreamed up by large language models like OpenAI's GPT-4. It's a problem that has persisted to this day, with some experts arguing that it's an intrinsic quality of the tech, "If AI cannot be trusted," Ferguson told Somerset Weebb, "then AI is effectively, in my mind, useless."
Then there's the sheer amount of electricity needed to train and upkeep these AI models, making them too "energy hungry." Last week for instance, news emerged that Google'sIn short, the industry could be in for a rude awakening. "These historically end badly," Ferguson said. "So anyone who's sort of a bit long in the tooth and has seen this sort of thing before is tempted to believe it'll end badly."
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Fonte: ForbesTech - 🏆 318. / 59 Leggi di più »
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