Description

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.

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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 Simons Institute regularly captures photos and video of activity around the Institute for use in publications and promotional materials. 

If you require special accommodation, please contact our access coordinator at simonsevents@berkeley.edu with as much advance notice as possible.

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The Move Toward AGI: Why Large Language Models Surprised Almost Everyone, and What’s Coming Next | Theoretically Speaking

The Move Toward AGI: Why Large Language Models Surprised Almost Everyone, and What’s Coming Next | Theoretically Speaking

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Registration is required. This is an in person–only event, and will not be livestreamed. Seating is first come, first served. Please fill out a registration form for each attendee.

The recording will be posted on SimonsTV several days after the event.

If you require special accommodation, please contact our access coordinator at simonsevents@berkeley.edu with as much advance notice as possible.

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