Jul 15, 2025

DeepMind's Pushmeet Kohli on AI's Scientific Revolution

Pushmeet Kohli, head of AI for Science at DeepMind, discusses AlphaEvolve, an AI system that uses Large Language Models (LLMs) coupled with evolutionary search to discover novel, human-interpretable algorithms. He explains the architecture, from its predecessor FunSearch to the multi-agent "Co-scientist" system, and details breakthroughs in solving decades-old math problems and optimizing real-world systems like data center scheduling and chip design.

Jul 10, 2025

Why Voice Security Is Your Next Big Problem

Yishay Carmiel and Roy Zanbel of Apollo Defend explore the state of voice AI, detailing the shift from cascaded models to end-to-end speech-to-speech systems. They break down the imminent security threats, including accessible voice cloning and sophisticated agent-based attacks, and discuss the nascent defense mechanisms and the urgent need for a new layer of voice security for governments, enterprises, and consumers.

Jul 09, 2025

Jonathan Blow - Jai Demo and Design Explanation (KEYNOTE) - Updated

Jonathan Blow, creator of Braid and The Witness, discusses the design philosophy behind 'jai', a new systems programming language. He explains how 'jai' re-evaluates the cost-benefit analysis of manual memory management by providing powerful, low-friction tools for metaprogramming, introspection, and debugging, inspired by principles from functional programming.

Jul 08, 2025

How DeepL Built a Translation Powerhouse with AI with CEO Jarek Kutylowski

Jarek Kutylowski, CEO of DeepL, discusses the company's technical strategy for competing with large language models in the translation space. He covers their focus on specialized model architectures, the critical role of curated data, the engineering challenges of building custom GPU data centers and large-scale inference systems, and the future of AI-driven translation in enterprise workflows.

Jul 04, 2025

AI doesn't work the way you think it does

Today's AI, despite its impressive capabilities, may be an "impostor" with a messy, unstructured internal understanding—a "spaghetti" representation. This summary explores an alternative, open-ended approach to building AI that fosters a deep, modular, and truly intelligent foundation, moving beyond brute-force optimization to embrace serendipitous discovery and "evolvability."

Jul 03, 2025

No Priors Ep. 121 | With Chai Discovery Co-Founders Jack Dent and Joshua Meier

Chai Discovery's co-founders discuss Chai 2, their new generative AI platform for antibody design. It achieves a nearly 20% hit rate from just 20 computational attempts, a 100-fold improvement over previous methods, signaling a shift from drug discovery to drug engineering.