Archive - Imbue

1:33:22

Attention as an art form

Watch now | Art of Being Human #2 with Adam Robbert

1:03:02

Love, Labour, and Language

AI won’t change what it means to be human. We need to prepare for what's actually coming.

March 2026

Software as bonsai

What if software engineering becomes more like gardening?

10 theses on attention

Reflections from Art of Being Human #2 with philosopher Adam Robbert

Introducing Imbue's Substack

A space to think together about the technological future we want and how to create it

January 2026

A more radical Imbue

Our experiment in working with radical agency, control, and choice

Empowering humans in the age of AI

We founded Imbue in 2021 to build an AGI future where humans remain at the helm, shaping powerful AI systems rather than being subordinated to them.

November 2025

Malleable software and human agency

A conversation with Geoffrey Litt, design engineer at Notion, on shaping software like clay

1:32:07

September 2025

Choices and Knives

The collective future we want is a future of kitchens, not vending machines.

August 2025

From lawless spaces to true liberty: rethinking AI's role in society

Who will actually hold power in the age of intelligent machines?

1:38:37

May 2025

AAI

The missing thing in Artificial Intelligence is not generality, it's adaptation.

Idea Tools for Participatory Intelligence

We need tools that are predicated on our rights, dedicated to amplifying our creative capacity, and judged by how they help us improve our world.

September 2024

Rylan Schaeffer, Stanford: Investigating emergent abilities of LLMs

Rylan Schaeffer is a PhD student at Stanford studying the engineering, science, and mathematics of intelligence.

1:02:51

July 2024

Ari Morcos, DatologyAI: Leveraging data to democratize model training

Ari Morcos is the CEO of DatologyAI, which makes training deep learning models more performant and efficient by intervening on training data.

1:34:19

May 2024

Percy Liang, Stanford: How foundation models work

Percy Liang is an associate professor of computer science and statistics at Stanford.

1:01:55

March 2024

Seth Lazar, Australian National University: The political philosophy of AI

Seth Lazar is a professor of philosophy at the Australian National University, where he leads the Machine Intelligence and Normative Theory (MINT) Lab.

1:55:45

August 2023

Tri Dao, Stanford: FlashAttention and efficient training

Tri Dao is a PhD student at Stanford, co-advised by Stefano Ermon and Chris Re.

1:20:29

June 2023

Jamie Simon, UC Berkeley: Theoretical principles for deep neural networks

Jamie Simon is a fourth-year physics Ph.D.

1:01:54

March 2023

Bill Thompson, UC Berkeley: How cultural evolution shapes knowledge acquisition

Bill Thompson is a cognitive scientist and assistant professor at UC Berkeley.

1:15:24

Ben Eysenbach, CMU: Designing simpler, more principled RL algorithms

Ben Eysenbach is a Ph.D.

1:45:56

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

Jim Fan is a research scientist at NVIDIA and got his PhD at Stanford under Fei-Fei Li.

1:26:45

Sergey Levine, UC Berkeley: Bottlenecks to generalization in reinforcement learning

Also: why simulation is doomed to succeed, and how to pick good research problems

1:34:49

February 2023

Noam Brown, FAIR: Building human-level AIs in poker and Diplomacy

Noam Brown is a research scientist at FAIR.

1:44:54