the Language models (Llms) That power today Chatbots I got AmazinglyArtificial intelligence researchers are severely pressed to evaluate these capabilitiesIt seems that there is no new test of artificial intelligence systems. But what does this performance really mean? Do these models really understand our world? Or is it just a victory of the data and accounts that mimic real understanding?
To divide these questions, IEEE SICTRUM Partnership with Computer History Museum At Mountain View, California, to bring two opinion -to -theater experts. I was the event supervisor, which happened on March 25. It was a fiery (but respectful) discussion, worthy of watching completely.
Emily M. Bandar She is a professor and director of the University of Washington of the computer linguistics laboratory, and she has appeared over the past decade as one of the critics of artificial intelligence companies today and their approach to artificial intelligence. It is also known as one of the authors in the 2021 SIMINAL paper.On the dangers of random parrots“A paper that put the potential risk of LLMS (and caused Google To launch the joint author Timit Gabro). BandarWhat is surprising, took the position of “no”.
It was taking a “yes” position Sébastien bubeckWho recently moved to Openai from MicrosoftHe was the Vice President of Amnesty International. During his time in Microsoft, he participated in the composition of influential predecessor.Artificial public intelligence sparks“Who described his early experiences with Openai’s GPT-4 While he was still under development. In that paper, the progress of the previous LLMS that made it feel that the model has reached a new level of understanding.
With no more confusion, we offer you the match that I call “parrots against Sparks”.
https://www.youtube.com/watch?– YouTubeYoutu.be
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