The panel discusses KPMG's 100-page prompt for its TaxBot, debating the future of prompt engineering versus fine-tuning. They also analyze OpenAI's potential move into selling cloud infrastructure, the impressive capabilities of Google's new image model, Nano-Banana, and new AI-powered fan experiences at the US Open.
A deep dive into the challenges of building production-grade, low-latency voice AI agents, and how the open-source, vendor-neutral framework Pipecat provides a comprehensive solution for development, deployment, and scaling. Learn about voice AI architecture, the trade-offs between speech-to-speech and text-based models, and practical deployment strategies.
Misha Laskin, co-founder of Reflection AI and former researcher at Google DeepMind, discusses the company's mission to build superhuman autonomous systems. He introduces Asimov, a code comprehension agent designed to solve the 80% of an engineer's time spent on understanding complex systems, rather than just code generation. Laskin delves into the intricacies of co-designing product and research, the critical role of customer-driven evaluations, the bottlenecks in scaling reinforcement learning (RL) — particularly the "reward problem" — and why he believes the future is one of "jagged superintelligence" emerging in specific, high-value domains like coding.
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.
Push Kohli and Máté Balog from Google DeepMind discuss AlphaDev, an AI agent that uses large language models and evolutionary search to discover novel, more efficient algorithms for fundamental computer science problems, marking a significant step in AI's ability to generate creative and practical solutions.