Latest Interviews
Showing 1–6 of 6 interview transcripts.
Clear all filters- Stanford Online1h 1m
Stanford CS153 Frontier Systems | Andreas Blattmann from Black Forest Labs on Visual Intelligence
Andreas Blattmann, Anjney Midha
Black Forest Labs, a Freiburg-based team of former Stability AI researchers, has scaled a 25-person operation to a $3 billion valuation by bootstrapping the Flux family of multimodal generative models. The company distinguishes itself through an open-weight commercial strategy and a strict adherence to EU AI Act compliance, maintaining identical safety guardrails for all partners including Meta and XAI. Looking forward, the organization is shifting its research focus from image synthesis to physical AI and robotics, aiming to validate model intelligence through real-world causal interactions rather than subjective aesthetic metrics.
- a16z52 min
Building an AI Physicist: ChatGPT Co-Creator’s Next Venture
Anjney Midha, Liam Fedus, Ekin Dogus Cubuk
Founded by co-creators of ChatGPT and DeepMind physicists, Periodic Labs operates a frontier AI research facility dedicated to advancing physical science by coupling Large Language Models with automated high-throughput experimentation. The organization deploys a unique "mid-training" methodology and physically grounded reward functions to overcome the epistemic limits of current models, specifically targeting the discovery of high-temperature superconductors exceeding 200 Kelvin. By integrating ML scientists, experimentalists, and simulators into a unified workflow, the company aims to replace theoretical predictions with real-world data loops, eventually expanding its "AI physicist" capabilities to serve aerospace, defense, and semiconductor industries.
- a16z53 min
From Vibe Coding to Vibe Researching: OpenAI’s Mark Chen and Jakub Pachocki
Mark Chen, Jakub Pachocki, Anjney Midha, Sarah Wang
OpenAI researchers Mark and Jakob Sutskever outline a strategic roadmap centered on GPT-5, which aims to mainstream advanced reasoning and automate scientific discovery by merging the capabilities of instant-response and deep-thought models. This approach shifts evaluation metrics from solving static competition problems to generating economically relevant insights and extending autonomous time horizons to several hours through reinforcement learning. The organization distinguishes itself by balancing protected fundamental research teams with product accountability, prioritizing talent that persists through failure to overcome current limitations in coding autonomy and physical robotics.
- a16z1h 18m
Rick Rubin: Vibe Coding is the Punk Rock of Software
Rick Rubin, Marc Andreessen, Ben Horowitz, Anjney Midha, Erik Torenberg
Rick Rubin introduces "vibe coding" as a methodology merging the ancient spiritual principles of the Tao Te Ching with modern AI to democratize creation for non-technical users. The discussion outlines how this approach treats AI as a tool for human expression rather than an autonomous creator, aiming to counteract the homogenization of global culture and narrow demographic biases in current tech development. Ultimately, the event advocates for a future of education focused on cultivating taste and self-knowledge, allowing artists to leverage AI to raise creative ceilings while maintaining authentic individual agency.
- a16z1h 17m
The Quest for Community-Trained Open Source AI Models
Bowen Peng, Jeffrey Quesnelle, Anjney Midha
News Research has unveiled the Distro method, a decentralized training framework that enables the creation of state-of-the-art "Hermes" language models using only standard internet connections and consumer-grade hardware. This breakthrough achieves an estimated 857-fold reduction in bandwidth requirements by allowing individual nodes to train independently and exchange only high-value insights rather than full model weights. By demonstrating that global AI development can be replicated without reliance on high-end data centers or single-entity resources, the project aims to democratize access to foundational models while preserving the neutrality and open nature of the technology.
- a16z46 min
How Discord Became a Developer Platform
Jason Citron, Anjney Midha, Mark Mandelmann, David Malani
Discord has grown to serve over 200 million monthly active users, leveraging a recent shift in developer activity that generated more than 20,000 new activities via its Embeddable Apps SDK. This platform evolution, driven by CEO Jason Citron's strategy to prioritize community feedback and open architecture, now allows startups to deploy rich HTML5 applications directly within the ecosystem while utilizing new one-click payment features for monetization. As a result, development friction has decreased significantly, enabling a projected surge from 20,000 to 200,000 apps within a single year as the platform transitions from a gaming chat tool into a comprehensive hub for the generative AI and interactive metaverse.