# \#foundations **URL:** https://www.artofsm.art/tag/foundations/68.md [Latest](https://www.artofsm.art/latest.md) · [Categories](https://www.artofsm.art/categories.md) · [Tags](https://www.artofsm.art/tags.md) --- ## [The search for solid ground with Stephen Wolfram](https://www.artofsm.art/t/the-search-for-solid-ground-with-stephen-wolfram/25378)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [9 October 2026 17:24 UTC](https://www.artofsm.art/t/the-search-for-solid-ground-with-stephen-wolfram/25378 "2026-10-09T17:24:30Z")
Stephen Wolfram emphasizes the importance of broad knowledge, deep understanding, and patience in developing sound judgment and building solid foundational knowledge across disciplines to confidently evalua… --- ## [How Deep Learning Finally Cracked Messy Tables - Frank Hutter](https://www.artofsm.art/t/how-deep-learning-finally-cracked-messy-tables-frank-hutter/24234)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [26 September 2026 02:39 UTC](https://www.artofsm.art/t/how-deep-learning-finally-cracked-messy-tables-frank-hutter/24234 "2026-09-26T02:39:04Z")
Frank Hutter discusses how deep learning, through the development of TabPFN—a tabular foundation model trained on vast synthetic datasets—has overcome traditional challenges of messy tabular data by leverag… --- ## [P vs. NP: The Biggest Puzzle In Computer Science Explained Simply | Avi Wigderson](https://www.artofsm.art/t/p-vs-np-the-biggest-puzzle-in-computer-science-explained-simply-avi-wigderson/21938)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [31 July 2026 13:20 UTC](https://www.artofsm.art/t/p-vs-np-the-biggest-puzzle-in-computer-science-explained-simply-avi-wigderson/21938 "2026-07-31T13:20:28Z")
The P vs. NP problem asks whether every problem whose solution can be quickly verified (NP) can also be quickly solved (P), fundamentally questioning the limits of efficient problem-solving and human knowle… --- ## [What David Senra Learned Studying 400+ Founders](https://www.artofsm.art/t/what-david-senra-learned-studying-400-founders/19533)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [4 June 2026 12:20 UTC](https://www.artofsm.art/t/what-david-senra-learned-studying-400-founders/19533 "2026-06-04T12:20:31Z")
David Senra’s study of over 400 founders reveals that extraordinary entrepreneurial success stems from intense focus, obsession, and a deep alignment between a founder’s unique traits and the problem they t… --- ## [Stephen Wolfram's 10 ways to have big ideas](https://www.artofsm.art/t/stephen-wolframs-10-ways-to-have-big-ideas/19290)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [28 May 2026 18:23 UTC](https://www.artofsm.art/t/stephen-wolframs-10-ways-to-have-big-ideas/19290 "2026-05-28T18:23:56Z")
Stephen Wolfram emphasizes generating big ideas by returning to first principles, conducting computational experiments, and engaging in clear explanation and visualization to deepen understanding and spark … --- ## [Prompt to Pipeline: Building with Google's Gen Media Stack — Paige & Guillaume, Google DeepMind](https://www.artofsm.art/t/prompt-to-pipeline-building-with-googles-gen-media-stack-paige-guillaume-google-deepmind/19112)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [23 May 2026 14:39 UTC](https://www.artofsm.art/t/prompt-to-pipeline-building-with-googles-gen-media-stack-paige-guillaume-google-deepmind/19112 "2026-05-23T14:39:53Z")
The video offers an introductory overview of the Solar System, focusing on the Sun as the central star and detailing the characteristics of the inner planets Mercury and Venus. It highlights Mercury’s proxi… --- ## [Make your own event-sourced agent harness using stream processors — Jonas Templestein, Iterate](https://www.artofsm.art/t/make-your-own-event-sourced-agent-harness-using-stream-processors-jonas-templestein-iterate/18736)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [14 May 2026 14:24 UTC](https://www.artofsm.art/t/make-your-own-event-sourced-agent-harness-using-stream-processors-jonas-templestein-iterate/18736 "2026-05-14T14:24:19Z")
The video explains load balancing as a key technique that distributes workloads across multiple resources to optimize performance, ensure reliability, and enhance user experience, especially for high-traffi… --- ## [Quantization Series | Part 1. Foundations: What is Quantization?](https://www.artofsm.art/t/quantization-series-part-1-foundations-what-is-quantization/18195)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [30 April 2026 14:20 UTC](https://www.artofsm.art/t/quantization-series-part-1-foundations-what-is-quantization/18195 "2026-04-30T14:20:51Z")
The video introduces foundational concepts of quantization in large language models, explaining how reducing bit precision of model weights helps fit models on limited hardware while balancing performance l… --- ## [The Theorem That Made Every Single AI Possible](https://www.artofsm.art/t/the-theorem-that-made-every-single-ai-possible/17268)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [29 March 2026 00:00 UTC](https://www.artofsm.art/t/the-theorem-that-made-every-single-ai-possible/17268 "2026-03-29T00:00:55Z")
The video explains the universal approximation theorem, which states that a neural network with just one hidden layer can approximate any continuous function by combining simple “bump” functions created fro… --- ## [Stanford CS221 | Autumn 2025 | Lecture 1: Course Overview and AI Foundations](https://www.artofsm.art/t/stanford-cs221-autumn-2025-lecture-1-course-overview-and-ai-foundations/16562)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [9 March 2026 16:49 UTC](https://www.artofsm.art/t/stanford-cs221-autumn-2025-lecture-1-course-overview-and-ai-foundations/16562 "2026-03-09T16:49:58Z")
In Lecture 1 of Stanford CS221, Professor Percy Liang introduces the foundational concepts of AI—perception, reasoning, action, and learning—while discussing the evolution of the field through symbolic, neu… --- ## [What is time in Wolfram Physics?](https://www.artofsm.art/t/what-is-time-in-wolfram-physics/15769)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [5 February 2026 20:51 UTC](https://www.artofsm.art/t/what-is-time-in-wolfram-physics/15769 "2026-02-05T20:51:47Z")
The video explains that in Wolfram Physics, time is not an external parameter but emerges from the evolution of the universe’s underlying hypergraph structure, with the application of simple rules constitut… --- ## [You can prove every possible graph is just a sub-graph](https://www.artofsm.art/t/you-can-prove-every-possible-graph-is-just-a-sub-graph/14657)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [11 December 2025 18:00 UTC](https://www.artofsm.art/t/you-can-prove-every-possible-graph-is-just-a-sub-graph/14657 "2025-12-11T18:00:40Z")
The video explains the Rado graph, a unique infinite random graph that almost surely contains every finite and countably infinite graph as a subgraph due to its extension property, making all such infinite … --- ## [Choosing Your Path: AI Professional Program Course Selection Guide](https://www.artofsm.art/t/choosing-your-path-ai-professional-program-course-selection-guide/13868)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [10 November 2025 18:12 UTC](https://www.artofsm.art/t/choosing-your-path-ai-professional-program-course-selection-guide/13868 "2025-11-10T18:12:36Z")
In the video, Armando, a Stanford graduate and course developer, explains how to personalize your learning path within the AI Professional Program by choosing from eight rigorous, professional… --- ## [Bianca Dittrich: Explorer Beyond Boundaries](https://www.artofsm.art/t/bianca-dittrich-explorer-beyond-boundaries/11723)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [8 August 2025 18:11 UTC](https://www.artofsm.art/t/bianca-dittrich-explorer-beyond-boundaries/11723 "2025-08-08T18:11:32Z")
Bianca Dittrich shares her journey from growing up near the Berlin Wall to becoming a quantum gravity researcher at the Perimeter Institute, driven by a deep curiosity about the fundamental nature of the un… --- ## [Physicist Davide Gaiotto on the math behind reality](https://www.artofsm.art/t/physicist-davide-gaiotto-on-the-math-behind-reality/10595)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [4 July 2025 15:20 UTC](https://www.artofsm.art/t/physicist-davide-gaiotto-on-the-math-behind-reality/10595 "2025-07-04T15:20:03Z")
Davide Gaiotto highlights the evolution of physics from ancient empirical observations to a modern discipline deeply intertwined with advanced mathematical frameworks, focusing on the foundational tools of … --- ## [Stanford AA222 I Engineering Design Optimization | Spring 2025 | Disciplined Convex Programming](https://www.artofsm.art/t/stanford-aa222-i-engineering-design-optimization-spring-2025-disciplined-convex-programming/10583)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [3 July 2025 19:24 UTC](https://www.artofsm.art/t/stanford-aa222-i-engineering-design-optimization-spring-2025-disciplined-convex-programming/10583 "2025-07-03T19:24:55Z")
In this lecture, Aric introduces disciplined convex programming (DCP), a framework that enables automatic verification and efficient solving of convex optimization problems by enforcing specific composition… --- ## [Davide Gaiotto: Rewriting Reality with Quantum Fields and Galileo’s Spirit](https://www.artofsm.art/t/davide-gaiotto-rewriting-reality-with-quantum-fields-and-galileo-s-spirit/10251)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [23 June 2025 19:45 UTC](https://www.artofsm.art/t/davide-gaiotto-rewriting-reality-with-quantum-fields-and-galileo-s-spirit/10251 "2025-06-23T19:45:43Z")
Davide Gaiotto discusses his work in quantum field theory as a vital theoretical tool that bridges physics and mathematics to deepen our understanding of the universe, inspired by Galileo’s approach of comb… --- ## [New ARC-AGI high score! 55.5% (MindsAI)](https://www.artofsm.art/t/new-arc-agi-high-score-55-5-mindsai/3523)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [6 November 2024 03:58 UTC](https://www.artofsm.art/t/new-arc-agi-high-score-55-5-mindsai/3523 "2024-11-06T03:58:33Z")
In the video, the speaker discusses their team’s recent achievement of a 54.5% high score on the ARC (Abstraction and Reasoning Challenge) and emphasizes the importance of cognitive mechanisms like synthesi… --- ## [Nat Friedman: AI analysis unlocks hidden science gems #aihype #science #aifuture #ai](https://www.artofsm.art/t/nat-friedman-ai-analysis-unlocks-hidden-science-gems-aihype-science-aifuture-ai/275)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [29 April 2024 01:56 UTC](https://www.artofsm.art/t/nat-friedman-ai-analysis-unlocks-hidden-science-gems-aihype-science-aifuture-ai/275 "2024-04-29T01:56:37Z")
Nat Friedman discusses the potential of AI in unlocking hidden scientific gems by analyzing existing literature, particularly through the emerging field of meta-analysis. He highlights the possibilities of … --- ## [But what is a GPT? Visual intro to Transformers | Deep learning, chapter 5](https://www.artofsm.art/t/but-what-is-a-gpt-visual-intro-to-transformers-deep-learning-chapter-5/77)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [1 April 2024 19:14 UTC](https://www.artofsm.art/t/but-what-is-a-gpt-visual-intro-to-transformers-deep-learning-chapter-5/77 "2024-04-01T19:14:19Z")
The video introduces the concept of GPT (Generative Pretrained Transformer), a bot that generates text by learning from vast data through pretraining. It visually explains the inner workings of transformers…