They bring enormous promise and peril. In the first of three special articles we explain how they work
, first opened the chatbot to the public, there has been little else that the tech elite has wanted to talk about. As this article was being written, the founder of a London technology company messaged your correspondent unprompted to say that this kind ofis “essentially all I’m thinking about these days”. He says he is in the process of redesigning his company, valued at many hundreds of millions of dollars, around it. He is not alone.
only does so in a statistical, rather than a grammatical, way. It is much more like an abacus than it is like a mind.initiates a response. At this point, for each of the tokens in the model’s vocabulary, the attention network has produced a probability of that token being the most appropriate one to use next in the sentence it is generating. The token with the highest probability score is not always the one chosen for the response—how theand then feeds the result back into itself.
Computers will get more powerful over time, but there is no new hardware forthcoming which offers a leap in performance as large as that which came from usings in the early 2010s, so training larger models will probably be increasingly expensive—perhaps why Mr Altman is not enthused by the idea.
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