Mar 30, 2026

Mistral: Voxtral TTS, Forge, Leanstral, & Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample

Mistral's Pavan (Voxtral lead) and Guillaume (Chief Scientist) discuss the new Voxtral TTS model, its novel architecture using flow matching for efficient, high-quality speech generation. They elaborate on Mistral's strategy of delivering specialized, open-weight models and the Mistral Forge platform, which empowers enterprises to leverage their proprietary data through fine-tuning for privacy, cost-effectiveness, and superior performance. The conversation also covers Mistral Small, the future of AI for science, and the company's commitment to open-source and foundational research, including formal proving as a proxy for long-horizon reasoning.

Mar 05, 2026

AI That Learns While You Use It

Sudip Roy, Co-founder & CTO of Adaption Labs, discusses how "Adaptation" using gradient-free, inference-time techniques can solve the last 5% reliability gap that stalls enterprise AI adoption, offering a more dynamic and cost-effective alternative to traditional fine-tuning or simply waiting for the next frontier model.

Mar 03, 2026

"Vibe Coding is a Slot Machine" - Jeremy Howard

fast.ai founder Jeremy Howard critiques the 'vibe coding' illusion, arguing that AI-assisted tools create a slot machine-like experience that erodes true software engineering skills. He revisits the origins of ULMFiT, champions interactive programming for building intuition, and reframes AI risk from existential threats to the dangers of power centralization and human enfeeblement.

Feb 27, 2026

How A Team Of 7 Keeps Breaking AI Benchmark Records

Poetiq, a startup by former DeepMind researchers, has developed a recursive self-improvement meta-system that builds "reasoning harnesses" on top of existing LLMs. This approach avoids the costly "fine-tuning trap" and has achieved state-of-the-art results on benchmarks like ARC-AGI and Humanity's Last Exam by automatically optimizing prompts and discovering novel reasoning strategies.

Feb 18, 2026

Simple AI Upsells 30% Better Than Trained Reps

Founders of Simple AI, Catheryn Li & Zach Kamran, discuss their journey from building consumer apps to creating an AI sales agent that handles inbound calls for major brands. They cover their pivot, the technical challenges of integrating with legacy systems, and how their AI outperforms human reps by leveraging hyper-personalization and rapid A/B testing.

Jan 16, 2026

Lessons from Building Open Source Libraries

Thomas Wolf, co-founder of Hugging Face, discusses his journey from physics to AI, the power of open-source models to accelerate innovation, the practical challenges of productionalizing AI demos, and why the biggest opportunities for founders now lie in the application layer on top of powerful foundation models.