Index

Announcements, research highlights, our podcast, and perspectives on topics we find interesting.

Filter by category:

closeBrief

closePerspective

closeResearch

closePodcast

closeCompany

closeOpen source

Brief: Is risk regulation right for AI?

BriefMay 17, 2023

Brief: A public option LLM?

BriefMay 16, 2023

Introducing Perspectives from Generally Intelligent

PerspectiveMay 15, 2023

Update: The state of LLM ethical decision-making

ResearchApril 01, 2023

Bill Thompson, UC Berkeley: On how cultural evolution shapes knowledge acquisition

PodcastMarch 29, 2023

Ben Eysenbach, CMU: On designing simpler and more principled RL algorithms

PodcastMarch 22, 2023

Jim Fan, NVIDIA: On foundation models for embodied agents, scaling data, and why prompt engineering will become irrelevant

PodcastMarch 08, 2023

Sergey Levine, UC Berkeley: On the bottlenecks to generalization, why simulation is doomed to succeed, and picking good research problems

PodcastMarch 01, 2023

The state of LLM ethical decision-making

ResearchFebruary 14, 2023

Noam Brown, FAIR: On achieving human-level performance in poker and Diplomacy, and the power of spending compute at inference time

PodcastFebruary 09, 2023

Sugandha Sharma, MIT: On biologically inspired neural architectures, how memories can be implemented, and control theory

PodcastJanuary 11, 2023

Nicklas Hansen, UCSD: On long-horizon planning and why algorithms don't drive research progress

PodcastDecember 16, 2022

Jack Parker-Holder, DeepMind: On open-endedness, evolving agents and environments, online adaptation, and offline learning

PodcastDecember 06, 2022

Celeste Kidd, UC Berkeley: On attention and curiosity, how we form beliefs, and where certainty comes from

PodcastNovember 22, 2022

Archit Sharma, Stanford: On unsupervised and autonomous reinforcement learning

PodcastNovember 17, 2022

Chelsea Finn, Stanford: On the biggest bottlenecks in robotics and reinforcement learning

PodcastNovember 03, 2022

In-person culture and habits

CompanyOctober 20, 2022

Introducing Generally Intelligent

CompanyOctober 20, 2022

Our approach to safety

CompanyOctober 20, 2022

Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds

ResearchOctober 20, 2022

Hattie Zhou, Mila: On supermasks, iterative learning, and fortuitous forgetting

PodcastOctober 14, 2022

Minqi Jiang, UCL: On environment and curriculum design for general RL agents

PodcastJuly 19, 2022

Oleh Rybkin, UPenn: On exploration and planning with world models

PodcastJuly 11, 2022

VICReg: Tutorial and lightweight PyTorch implementation

Open sourceApril 21, 2022

A PyTorch implementation of SIMONe

Open sourceApril 14, 2022

Andrew Lampinen, DeepMind: On symbolic behavior, mental time travel, and insights from psychology

PodcastFebruary 28, 2022

Our hiring process

CompanyJanuary 20, 2022

Yilun Du, MIT: On energy-based models, implicit functions, and modularity

PodcastDecember 21, 2021

Jupyter Ascending: Sync notebooks to your editor

Open sourceOctober 14, 2021

Martin Arjovsky, INRIA: On benchmarks for robustness and geometric information theory

PodcastOctober 14, 2021

Yash Sharma, MPI-IS: On generalizability, causality, and disentanglement

PodcastSeptember 24, 2021

Jonathan Frankle, MIT: On the lottery ticket hypothesis and the science of deep learning

PodcastJune 17, 2021

Jacob Steinhardt, UC Berkeley: On machine learning safety, alignment and measurement

PodcastJune 17, 2021

Vincent Sitzmann, MIT: On neural scene representations for computer vision and more general AI

PodcastMay 19, 2021

Dylan Hadfield-Menell, UC Berkeley/MIT: On the value alignment problem in AI

PodcastMay 11, 2021

Drew Linsley, Brown: On inductive biases for vision and generalization

PodcastApril 01, 2021

Giancarlo Kerg, Mila: On approaching deep learning from mathematical foundations

PodcastMarch 26, 2021

Yujia Huang, Caltech: On neuro-inspired generative models

PodcastMarch 18, 2021

A PyTorch implementation of slot attention

Open sourceMarch 09, 2021

Julian Chibane, MPI-INF: On 3D reconstruction using implicit functions

PodcastMarch 05, 2021

Josh Albrecht: A new AI research lab

CompanyFebruary 24, 2021

Katja Schwarz, MPI-IS: On GANs, implicit functions, and 3D scene understanding

PodcastFebruary 23, 2021

Joel Lehman, OpenAI: On evolving intelligence, open-endedness, and reinforcement learning

PodcastFebruary 16, 2021

Cinjon Resnick, NYU: On activity and scene understanding

PodcastJanuary 31, 2021

Sarah Jane Hong, Latent Space: On neural rendering & research process

PodcastJanuary 06, 2021

Kelvin Guu, Google AI: On language models & overlooked problems

PodcastDecember 16, 2020

Generally Intelligent #0: A podcast for deep learning researchers

PodcastDecember 06, 2020

Understanding self-supervised and contrastive learning with "Bootstrap Your Own Latent" (BYOL)

ResearchAugust 24, 2020

Appendix for "Understanding self-supervised and contrastive learning with 'Bootstrap Your Own Latent' (BYOL)"

ResearchAugust 24, 2020