![Tensor Logic "Unifies" AI Paradigms [Pedro Domingos]](https://img.youtube.com/vi/4APMGvicmxY/maxresdefault.jpg)
Pedro Domingos introduces Tensor Logic, a new programming language designed to be the fundamental language for AI. It unifies the two major paradigms: the learning capabilities of deep learning (neural networks) and the transparent, verifiable reasoning of symbolic AI (logic programming), aiming to solve critical issues like hallucination and the opacity of current models.
Pedro Domingos introduces Tensor Logic, a new programming language designed to be the fundamental language for AI. It unifies the two major paradigms: the data-driven learning of deep learning and the verifiable reasoning of symbolic AI. By treating logical rules and tensor operations as the same underlying construct, Tensor Logic enables systems that can learn logical structures and perform transparent, deductive reasoning, directly addressing critical issues like model opacity and hallucination.
Pedro Domingos introduces Tensor Logic, a new programming language designed to unify the two major paradigms of AI—deep learning's ability to learn from data and symbolic AI's power of logical reasoning—into a single, elegant framework.
![AI That Can Change Its Mind? (New Architecture) [w/ Sakana CTO]](https://img.youtube.com/vi/DtePicx_kFY/maxresdefault.jpg)
Llion Jones, a co-inventor of the Transformer, and his colleague Luke Darlow from Sakana AI argue that the AI industry is trapped in a local minimum by the Transformer's success. They discuss the architecture's fundamental limitations using the 'spiral problem' analogy and introduce their new, biology-inspired Continuous Thought Machine (CTM), an architecture designed for more human-like, sequential reasoning and adaptive computation.
A recap of key conversations from the No Priors podcast in 2025, featuring insights from leaders at OpenAI, Harvey, and the Center for AI Safety on topics ranging from reasoning models and spatial intelligence to the geopolitical risks of superintelligence and the human impact of AI in healthcare.
Explore the distinction between LLMs and AI agents, focusing on how agents leverage reasoning, tool calling, and the ReAct prompting framework for autonomous decision-making and task execution in complex business workflows.