Carolyn has been working at the intersection of generative AI, agents, and social sciences. Please look forward to their exciting work as Carolyn continues as a PhD student!

Big congratulations, carolyn zou!!

Wonderful fireside chat between Jim Fan Jim Fan and Percy Laing Percy Liang on the Future of Foundation Models at #GTC2024

A few memorable points to myself:

1. Percy is the person who coined the term “foundation models”, or FoMo :) The switch turned on for him in 2020 when

Big congratulations, James Landay!!! And thank you for everything you've done for our research community!

My TEDAI talk from Oct 2023 is now live:
go.ted.com/percyliang
It was a hard talk to give:
1. I memorized it - felt more like giving a piano recital than an academic talk.
2. I wanted it to be timeless despite AI changing fast…still ok after 3 months.
Here’s what I said:

📣 I’m recruiting 1-2 PhD students interested in #HCI , #AR , and Spatial Computing. More information: parastooabtahi.com

If you’re interested, apply to Princeton CS (cs.princeton.edu/grad) by Dec 15 and mention my name in your application ✨

I’m recruiting PhD students and there are still a few days left to apply! If you’re excited about working at the intersection of HCI and AI, come join my new group MIT EECS. Please submit at gradapply.mit.edu/eecs by 12/15!

Join us for the Synthetic Data with Generative AI Workshop at NeurIPS 2023! Learn how to harness the power of synthetic data for trustworthy ML. We have an exciting program with our amazing speakers. Check out our program for details: syntheticdata4ml.vanderschaar-lab.com

I've enjoyed listening to the Future of Everything podcast, so it was exciting actually being on it. Russ does a wonderful job of summarizing complex ideas using plain English.

Looking forward to co-organizing this workshop on generative AI and personalization -- please consider submitting your work!

Spotlight talk slides from the #uist2023 workshop on interaction with generative AI are now online:

Large language models make it possible to create human-like agents. A breakthrough by Joon Sung Park and colleagues has sparked interest among game developers and social scientists.
stanford.io/3SB3r25

In Dec 2022, we released HELM for evaluating language models. Now, we are releasing HEIM for text-to-image models, building on the HELM infrastructure. We're excited to do more in the multimodal space!

Text-to-image models like DALL-E create stunning images. Their widespread use urges transparent evaluation of their capabilities and risks.

📣 We introduce HEIM: a benchmark for holistic evaluation of text-to-image models
arxiv.org/abs/2311.04287 (in #NeurIPS2023 Datasets)

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Generative Agents! #UIST2023