- Developers
- Learn about advanced AI research concepts and how AI might drive its own progress.
- Business
- Understand potential future shifts in AI development and its impact on scientific innovation.
This interview features founders from a new AI company discussing a forward-looking concept for AI development.
Building Self-Accelerating AI with Mirendil
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
The AI + a16z podcast features Mirendil cofounders Behnam Neyshabur and Harsh Mehta discussing their vision for self-accelerating AI. They explore how AI systems can contribute to their own development, accelerating scientific and technological progress beyond mere productivity tools. The conversation covers AI research, scaling laws, automated engineering, and scientific discovery.
This episode discusses AI that helps build better AI. Imagine a smart assistant that not only does tasks but also figures out how to become smarter itself. This could speed up discoveries in science and technology, benefiting everyone.
This episode is for AI researchers and technologists interested in the future of AI development. Mirendil's founders, with backgrounds at Google and Anthropic, propose a paradigm shift from AI as a tool to AI as a driver of scientific advancement. Listeners will learn about the potential for AI to unlock breakthroughs in medicine and science by improving its own capabilities, a concept relevant to all frontier labs pushing AI progress.
- Hosta16z
- GuestBehnam Neyshaburcofounder, Mirendil
- GuestHarsh Mehtacofounder, Mirendil
- Episode Title: Building Self-Accelerating AI with Mirendil
- Show: AI + a16z
- Length: 41 minutes
- Guest Background: Mirendil founders previously led research at Google and Anthropic.
- Core Question: What happens when AI systems can meaningfully contribute to their own development?
Matt Bornstein speaks with Mirendil cofounders Behnam Neyshabur and Harsh Mehta about their vision for building self-accelerating AI.
After leading research efforts at Google and Anthropic, the founders started Mirendil around a simple question: what happens when AI systems can meaningfully contribute to their own development? Rather than focusing solely on AI as a tool for productivity, they argue that the most important application may be accelerating scientific and technological progress itself.
The conversation explores AI research, scaling laws, automated engineering, scientific discovery, and the challenges of building systems that can improve over time. They discuss the future of AI-assisted research, why they believe scientific progress remains bottlenecked by intelligence, and how more capable AI systems could help unlock advances across medicine, engineering, and the natural sciences.
Resources:
Follow Behnam Neyshabur on X: https://x.com/bneyshabur?lang=en
Follow Harsh Mehta on X: https://x.com/HarshMeh1a
Follow Matt Bornstein on X: https://x.com/BornsteinMatt
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- self-accelerating AI
- Behnam Neyshabur and Harsh Mehta
- AI systems that can help improve their own capabilities over time.
- scaling laws
- Behnam Neyshabur and Harsh Mehta
- Principles that describe how AI performance improves with more data or computing power.
- automated engineering
- Behnam Neyshabur and Harsh Mehta
- Using AI to design, build, and optimize systems automatically.
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Questions people ask
- What is Mirendil's core idea?
- Mirendil focuses on building AI systems that can meaningfully contribute to their own development, aiming to accelerate scientific and technological progress.
- What is the main application Mirendil envisions for AI?
- Beyond productivity, they argue the most important application is accelerating scientific and technological progress itself.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to a16z.





