| Nov 10, 2024 | Multidimensional Alignment Through Principled Spiritual Evolution |
| Jul 14, 2023 | The Master Plan (part 1) |
| Jul 14, 2023 | The Master Plan (part 1) |
| Apr 10, 2023 | LLMs are the Update Rules of Intelligent Fractals: Escaping the Context Window with Iterative, Structured Local Updates |
| Mar 29, 2023 | The Cost of Large Scale Training |
| Mar 16, 2023 | AI: A Double-Edged Sword - Walking the Line in an Ever-Changing World |
| Jan 6, 2023 | The Master Plan (part 0) |
| Jun 26, 2022 | Self-learning meta-learners teach themselves to teach |
| Jun 26, 2022 | Teaching Learning Machines (TLMs) |
| Jun 26, 2022 | Embodied and Situated: AI with Feelings |
| Jun 25, 2022 | Buy Low, Sell High |
| Mar 30, 2022 | Design Patterns for AI |
| Dec 3, 2021 | Notes on Neuroscience and AI |
| Nov 30, 2021 | Naive Bayes Classifier |
| Nov 11, 2021 | Regularization |
| Nov 6, 2021 | Estimating the Critical Mass |
| Nov 2, 2021 | Image Classification |
| Oct 31, 2021 | Generalization -- Fast and Slow (incomplete) |
| Oct 19, 2021 | Computatrum |
| Oct 18, 2021 | The Multi Agent Network |
| Oct 18, 2021 | The Node Neural Network (NNN) |
| Oct 18, 2021 | The API |
| Oct 18, 2021 | Multi-Environment Learning |
| Oct 10, 2021 | The Artificial Experience |
| Oct 9, 2021 | Full-Stack Artificial Intelligence |
| Sep 28, 2021 | Titanic Survival Prediction with TensorFlow |
| Jun 22, 2021 | Reaching for the Intangible |
| Jun 22, 2021 | Self Organized Criticality |
| Jun 18, 2021 | RTC Jupyterlab in the Cloud |
| Jun 18, 2021 | What is intelligence? |
| Mar 12, 2021 | Meditating on AI |
| Jun 1, 2020 | Dev Platforms |
| Jun 1, 2020 | arxiv-notes |
| Mar 1, 2020 | Conditioning Transformers |