AI Radar

Building Self-Accelerating AI to Accelerate Science with Mirendil

Hosts: Math Bornstein

Guests: Behnam Neyshabur, Harsh Mehta

In this episode of AI + a16z, Mirendil co-founders Behnam Neyshabur and Harsh Mehta discuss their vision for self-accelerating AI systems that can conduct AI research and engineering autonomously to dramatically speed up scientific discovery. They emphasize the disruptive nature of this technology and the need to rethink company structures and incentives to enable broad access and collaboration. Unlike traditional AI models focused on general capabilities, Mirendil aims to build specialized AI systems that improve themselves iteratively in targeted scientific domains, reducing the need for large teams and resources.

Anthropic's Fable Model, US Export Controls, and AI Safety Challenges

Hosts: Percy

Guests: Zvi Mowshowitz, Sam Hammond, Judd Rosenblatt, Donnie Bloomfield, Liron Shapira

This episode of The Cognitive Revolution focuses on the recent US government export control order against Anthropic's Fable model, exploring the technical, legal, and political dimensions of the conflict. Zvi Mowshowitz provides a deep technical analysis of Fable's capabilities, including its advanced decision theory behavior and challenges in interpretability. The episode also covers the government's reaction, the miscommunications that led to the abrupt ban, and the broader implications for AI governance and safety.

Anthropic's Fiona Fung on AI-Driven Engineering Transformation

Hosts: Lenny

Guests: Fiona Fung

Fiona Fung, Manager of the Claude Code and Cowork Teams at Anthropic, shares deep insights into how AI is revolutionizing software engineering. Coding is no longer the bottleneck, with Anthropic engineers producing eight times more code per quarter compared to 2025. The focus has shifted to ambitious product building, verification, and quality assurance, leveraging AI tools like Claude Code and Cowork to automate routine tasks and enhance productivity. Fung emphasizes the importance of high agency paired with accountability within teams, encouraging proactive initiative and ownership.

Dean Ball on Joining OpenAI: Frontier AI Policy and Governance Challenges

Hosts: Nathan

Guests: Dean Ball

Dean Ball discusses his decision to join OpenAI to lead a new Strategic Futures team focused on shaping frontier AI policy. He reflects on the current state of U.S. AI policy, including critiques of America's AI Action Plan and the ongoing challenges with government coordination and transparency. Dean emphasizes the importance of being inside a frontier AI lab to access detailed technical insights necessary for effective policy development, especially around recursive self-improvement (RSI) and internal model deployments. He also shares his views on the evolving power dynamics between AI labs and the government, the role of states in AI regulation, and the risks of government monopolization of frontier AI capabilities.

Anjney Midha on AI Infrastructure, Outputmaxxing, and Frontier Labs

Hosts: FungeMita

Guests: Anjney Midha

Anjney Midha, founder of AMP and former Google engineer, discusses the critical importance of maximizing output and efficiency in AI infrastructure. He emphasizes the need for iterative, responsible scaling of compute resources, drawing parallels to the electric grid and advocating for a pooled, multi-cloud compute grid to optimize utilization and reduce waste. Midha highlights the misalignment of incentives in AI infrastructure and the challenges of scaling compute without losing alignment across stakeholders.

Intel CEO Lip-Bu Tan on Semiconductor Supply Chain and AI

Hosts: Sarah Guo, Elad Gil

Guests: Lip-Bu Tan

In this episode of No Priors, Lip-Bu Tan, CEO of Intel and legendary semiconductor investor, discusses his vision for transforming Intel amidst the evolving semiconductor and AI landscape. He emphasizes the importance of rebuilding a resilient semiconductor supply chain in the US, strengthening Intel's balance sheet, simplifying product lines, and focusing on next-generation leadership products. Tan highlights the rising demand for CPUs in AI inference workloads and the critical role of advanced packaging and new materials in overcoming physical limits of semiconductor scaling.

Tejal Patwardhan on evolving AI benchmarks and real-world model capabilities

Hosts: Andrew Maine

Guests: Tejal Patwardhan

In this episode of the OpenAI Podcast, research lead Tejal Patwardhan discusses the challenges and evolution of AI benchmarking as models rapidly improve. She emphasizes the limitations of traditional benchmarks, which often become saturated and fail to capture real-world usefulness. Patwardhan highlights OpenAI's shift towards more realistic, long-horizon evaluations that measure models' ability to perform complex tasks across domains such as coding, science, and professional work. The conversation also covers the importance of measuring models' real-world impact, including scientific research and wet lab experiments, and the increasing complexity of evaluations as models interact with physical and digital environments over extended periods.

AI in the AM Week 2 Highlights: Fable Launch & Alignment Theory

Hosts: Nathan

Guests: Jeffrey Irving, Daniel Murphy, Rahul Sunwalkar, Shlok Khemani, Tom Agrath, Andrew Moore, prinz

The episode covers the launch and early user experiences of Anthropic's Fable model, highlighting its cautious gating on sensitive tasks and impressive autonomous decision-making in complex workflows. Discussions include the challenges of AI alignment, with Jeffrey Irving and Daniel Murphy announcing Sequent, a new organization focused on theoretical guarantees for AI safety amid accelerating capabilities. The episode also explores hybrid authorship with AI, economic incentives in AI usage, and the concentration of power in frontier AI labs. Key policy and interpretability issues are raised, including Anthropic's response to silent refusals and the need for better oversight of internal model deployments.