Why Large Language Models Surprised Almost Everyone, and What’s Coming Next
Calvin Lab, UC Berkeley | Optometry Way, UC Berkeley, Berkeley, CA
Event Details
Submitted by the Event Organizer
The advent of large language models (LLMs) such as ChatGPT changed forever the public perception of artificial intelligence. Our panel of experts will discuss why LLMs proved to be so surprising, even to researchers in the field, and why the explosion of increasingly powerful models has inevitably led to whispers about artificial general intelligence (AGI). We’ll examine whether LLMs are sufficient to get us to AGI and, if not, what the missing ingredients might be.
Panelists: Anil Ananthaswamy (Simons Institute science communicator in residence, moderator), Dileep George (Google DeepMind), Azalia Mirhoseini (Stanford), Luke Zettlemoyer (University of Washington and Meta)
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Theoretically Speaking is a lecture series highlighting exciting advances in theoretical computer science for a broad general audience. Events are free and open to the public, with first-come, first-served seating. No special background is assumed. Registration is required. This lecture will be viewable afterward on this page and on our YouTube channel, following captioning.
Light refreshments will be provided before the talk, starting at 4:30 p.m.
The recording will be posted on our YouTube channel (www.YouTube.com/simonsinstitute) several days after the event.
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Cost: FREE*
