This podcast episode explores two X moonshot projects aimed at revolutionizing computer chips. Project Positron focused on creating specialized chips for real-time AI inference, acting as 'brains for robots'. Project Bodger took a meta-approach, using AI and inverse design to automate the chip design process itself, aiming to overcome the limitations of Moore's Law.
Experts analyze Apple's AI future under new hardware-focused CEO John Ternus, the strategic implications of Anthropic's deep partnership with AWS for custom AI chips, the evolving landscape of customer intent in an era of AI agents, and the ironic security leak of the powerful Claude Mythos model.
Experts analyze Anthropic's surprise release of Claude 4.7, speculating it's a distilled version of the Mythos model. The discussion also covers Apple's new three-pronged AI wearables strategy, a Gallup poll showing rising but incremental AI adoption in the workplace, and DeepMind's research into harmful AI manipulation.
Dr. Ewelina Kurtys of FinalSpark discusses the ambitious goal of building computers from living neurons, aiming for a 1-million-fold increase in energy efficiency over digital systems. The conversation delves into the technical challenges of neural encoding and plasticity, the use of brain organoids, and the profound ethical and philosophical questions surrounding determinism and consciousness in biological hardware.
In this special year-end episode, experts from the Mixture of Experts podcast review the biggest AI moments of 2025 and predict what's next for 2026. The discussion covers the rise of "super agents" and the battle for the user interface, open source's breakout year and its remaining challenges, the AI hardware supply crisis and the push for efficiency, and the future of modular, multimodal AI systems.
Epoch AI researchers discuss the AI landscape, arguing against a bubble due to strong enterprise spending and profitability. They forecast significant economic shifts, including a potential 30% GDP growth with advanced AI and the automation of 10% of current jobs this decade. The summary covers the unlikelihood of a software-only singularity, the reality of data center buildouts (with Anthropic surprisingly in the lead), and why energy 'bottlenecks' are economic trade-offs, not hard limits. Also explored are timelines for AI solving major mathematical problems and why robotics remains primarily a hardware challenge.