Interview based show around AI Engineering. Episodes are also available as video on Youtube. Show notes have a summary and full transcript.
Episodes
30 Mar 2026
Mistral's Voxtral TTS is a 3B-parameter text-to-speech model leveraging neural audio codecs, semantic/acoustic token splitting, and efficient flow matching for multilingual real-time applications, balancing quality and cost while exploring future refinements in architecture, tokenization, and domain-specific training.
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24 Mar 2026
AI's role in education and materials science is debated, highlighting its potential to accelerate research in chemistry and physics through machine learning, yet acknowledging limitations in complex molecular design, data quality challenges, and the need for interdisciplinary collaboration and robust validation.
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20 Mar 2026
Dreamer is an AI platform democratizing access to agentic tools for non-technical users via customizable AI assistants, community-built apps, cross-device integration, and privacy-focused features, with a beta emphasis on accessibility, real-world productivity use cases, and third-party developer opportunities.
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17 Mar 2026
Cowork is a cloud-native tool simplifying Cloud Code access for non-technical users through a balance of simplicity and flexibility, integrating with cloud services and Chrome while supporting diverse workflows via a lightweight virtual machine, developed in 10 days with a focus on modular components and ethical trade-offs in AI infrastructure.
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12 Mar 2026
TurboPuffer is a next-gen database platform focusing on AI-powered vector search, full-text search, and scalability, with a strong emphasis on hiring top talent and customer-driven innovation.
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10 Mar 2026
Advancements in AI agents focus on automating complex tasks, optimizing resource management, and addressing efficiency and scalability challenges.
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6 Mar 2026
Software development is evolving with the integration of AI and agentic systems, requiring a balance between automation and human expertise to optimize workflows.
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5 Mar 2026
The integration of AI in enterprise software and its cultural impact on film, media, and software engineering are explored in this podcast.
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27 Feb 2026
The podcast explores the intersection of AI capabilities and societal risks, discussing challenges in evaluating and deploying AI systems.
Open episode![[LIVE] Anthropic Distillation & How Models Cheat (SWE-Bench Dead) | Nathan Lambert & Sebastian Raschka thumbnail](https://substackcdn.com/feed/podcast/1084089/post/189277598/ca7468da5614a246d2906ee8926f6de7.jpg)
26 Feb 2026
A podcast discusses the application of distillation in machine learning, particularly in training smaller language models, and raises concerns about the potential for malicious use and the need for improved detection and regulation.
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