ideas/
71 pages · Updated July 18, 2026
Pages
- Julian Chibane, MPI-INF: 3D reconstruction using implicit functions
- Comments - Introducing Imbue's Substack - by Ashley Zhang
- Comments - Introducing Imbue's Substack - by Ashley Zhang
- Comments - Introducing Imbue's Substack - by Ashley Zhang
- software-as-bonsai
- Sarah Jane Hong, Latent Space: Neural rendering & research process
- Comments - Introducing Imbue's Substack - by Ashley Zhang
- Yash Sharma, MPI-IS: Generalizability, causality, and disentanglement
- Jonathan Frankle, MIT: The lottery ticket hypothesis and the science of deep learning
- Comments - Introducing Imbue's Substack - by Ashley Zhang
- Yilun Du, MIT: Energy-based models, implicit functions, and modularity
- Martín Arjovsky, INRIA: Benchmarks for robustness and geometric information theory
- Comments - Introducing Imbue's Substack - by Ashley Zhang
- love-labour-and-language
- Cinjon Resnick, NYU: Activity & scene understanding
- Yujia Huang, Caltech: Neuro-inspired generative models
- Drew Linsley, Brown: Inductive biases for vision and generalization
- Giancarlo Kerg, Mila: Approaching deep learning from mathematical foundations
- Dylan Hadfield-Menell, UC Berkeley/MIT: The value alignment problem in AI
- Vincent Sitzmann, MIT: Neural scene representations for computer vision
- Jacob Steinhardt, UC Berkeley: Machine learning safety, alignment, and measurement
- imbue_ai
- episode-01-kelvin-guu-google-ai-on-510
- Andrew Lampinen, DeepMind: Symbolic behavior, mental time travel, and insights from psychology
- Sugandha Sharma, MIT: Biologically inspired neural architectures
- Oleh Rybkin, UPenn: Exploration and planning with world models
- Jack Parker-Holder, DeepMind: Open-endedness and evolving agents
- Noam Brown, FAIR: Building human-level AIs in poker and Diplomacy
- Archit Sharma, Stanford: Unsupervised and autonomous reinforcement learning
- Jim Fan, NVIDIA: Foundation models for embodied agents, scaling data, and why prompt engineering will become irrelevant
- Minqi Jiang, UCL: Environment and curriculum design for general RL agents
- Hattie Zhou, Mila: Supermasks, iterative learning, and fortuitous forgetting
- Nicklas Hansen, UCSD: Why algorithms don't drive research progress
- Ben Eysenbach, CMU: Designing simpler, more principled RL algorithms
- Chelsea Finn, Stanford: Biggest bottlenecks in robotics and reinforcement learning
- Jamie Simon, UC Berkeley: Theoretical principles for deep neural networks
- Tri Dao, Stanford: FlashAttention and efficient training
- Bill Thompson, UC Berkeley: How cultural evolution shapes knowledge acquisition
- Sergey Levine, UC Berkeley: Bottlenecks to generalization in reinforcement learning
- Choices and Knives - by glenn mcdonald - Imbue
- Idea Tools for Participatory Intelligence
- Comments - 10 theses on attention - by Ashley Zhang - Imbue
- Comments - 10 theses on attention - by Ashley Zhang - Imbue
- Comments - Introducing Imbue's Substack - by Ashley Zhang
- Comments - 10 theses on attention - by Ashley Zhang - Imbue
- Comments - Introducing Imbue's Substack - by Ashley Zhang
- Comments - Introducing Imbue's Substack - by Ashley Zhang
- Comments - From lawless spaces to true liberty: rethinking AI's role in society
- Comments - There will be a scientific theory of deep learning
- Imbue | Substack
- Seth Lazar, Australian National University: The political philosophy of AI
- Percy Liang, Stanford: How foundation models work
- Rylan Schaeffer, Stanford: Investigating emergent abilities of LLMs
- Ari Morcos, DatologyAI: Leveraging data to democratize model training
- Empowering humans in the age of AI - by Kanjun Qiu - Imbue
- Celeste Kidd, UC Berkeley: Attention, curiosity, and how we form beliefs
- Archive - Imbue
- Imbue | Substack
- AAI - by glenn mcdonald - Imbue
- A more radical Imbue - by Josh Albrecht - Imbue
- Joel Lehman, OpenAI: Evolution, open-endedness, and reinforcement learning
- 10 theses on attention - by Ashley Zhang - Imbue
- Introducing Imbue's Substack - by Ashley Zhang - Imbue
- Imbue | Substack
- About - Imbue
- Imbue | Substack
- From lawless spaces to true liberty: rethinking AI's role in society
- There will be a scientific theory of deep learning
- Attention as an Art Form - by Ashley Zhang and Adam Robbert
- Malleable software and human agency - Imbue
- Imbue | Substack