Pedro Domingos, author of the bestselling book "The Master Algorithm," introduces his latest work: Tensor Logic - a new programming language he believes could become the fundamental language for artificial intelligence. Think of it like this: Physics found its language in calculus. Circuit design found its language in Boolean logic. Pedro argues that AI has been missing its language - until now. **SPONSOR MESSAGES START** — Build your ideas with AI Studio from Google - http://ai.studio/build — Prolific - Quality data. From real people. For faster breakthroughs. https://www.prolific.com/?utm_source=mlst — cyber•Fund https://cyber.fund/?utm_source=mlst is a founder-led investment firm accelerating the cybernetic economy Hiring a SF VC Principal: https://talent.cyber.fund/companies/cyber-fund-2/jobs/57674170-ai-investment-principal#content?utm_source=mlst Submit investment deck: https://cyber.fund/contact?utm_source=mlst — **END** Current AI is split between two worlds that don't play well together: Deep Learning (neural networks, transformers, ChatGPT) - great at learning from data, terrible at logical reasoning Symbolic AI (logic programming, expert systems) - great at logical reasoning, terrible at learning from messy real-world data Tensor Logic unifies both. It's a single language where you can: Write logical rules that the system can actually learn and modify Do transparent, verifiable reasoning (no hallucinations) Mix "fuzzy" analogical thinking with rock-solid deduction INTERACTIVE TRANSCRIPT: https://app.rescript.info/public/share/NP4vZQ-GTETeN_roB2vg64vbEcN7isjJtz4C86WSOhw TOC: 00:00:00 - Introduction 00:04:41 - What is Tensor Logic? 00:09:59 - Tensor Logic vs PyTorch & Einsum 00:17:50 - The Master Algorithm Connection 00:20:41 - Predicate Invention & Learning New Concepts 00:31:22 - Symmetries in AI & Physics 00:35:30 - Computational Reducibility & The Universe 00:43:34 - Technical Details: RNN Implementation 00:45:35 - Turing Completeness Debate 00:56:45 - Transformers vs Turing Machines 01:02:32 - Reasoning in Embedding Space 01:11:46 - Solving Hallucination with Deductive Modes 01:16:17 - Adoption Strategy & Migration Path 01:21:50 - AI Education & Abstraction 01:24:50 - The Trillion-Dollar Waste REFS Tensor Logic: The Language of AI [Pedro Domingos] https://arxiv.org/abs/2510.12269 The Master Algorithm [Pedro Domingos] https://www.amazon.co.uk/Master-Algorithm-Ultimate-Learning-Machine/dp/0241004543 Einsum is All you Need (TIM ROCKTÄSCHEL) https://rockt.ai/2018/04/30/einsum https://www.youtube.com/watch?v=6DrCq8Ry2cw Autoregressive Large Language Models are Computationally Universal (Dale Schuurmans et al - GDM) https://arxiv.org/abs/2410.03170 Memory Augmented Large Language Models are Computationally Universal [Dale Schuurmans] https://arxiv.org/pdf/2301.04589 On the computational power of NNs [95/Siegelmann] https://binds.cs.umass.edu/papers/1995_Siegelmann_JComSysSci.pdf Sebastian Bubeck https://www.reddit.com/r/OpenAI/comments/1oacp38/openai_researcher_sebastian_bubeck_falsely_claims/ I am a strange loop - Hofstadter https://www.amazon.co.uk/Am-Strange-Loop-Douglas-Hofstadter/dp/0465030793 Stephen Wolfram https://www.youtube.com/watch?v=dkpDjd2nHgo The Complex World: An Introduction to the Foundations of Complexity Science [David C. Krakauer] https://www.amazon.co.uk/Complex-World-Introduction-Foundations-Complexity/dp/1947864629 Geometric Deep Learning https://www.youtube.com/watch?v=bIZB1hIJ4u8 Andrew Wilson (NYU) https://www.youtube.com/watch?v=M-jTeBCEGHc Yi Ma https://www.patreon.com/posts/yi-ma-scientific-141953348 Roger Penrose - road to reality https://www.amazon.co.uk/Road-Reality-Complete-Guide-Universe/dp/0099440687 Artificial Intelligence: A Modern Approach [Russel and Norvig] https://www.amazon.co.uk/Artificial-Intelligence-Modern-Approach-Global/dp/1292153962
