Interview based show around AI Engineering. Episodes are also available as video on Youtube. Show notes have a summary and full transcript.
Episodes
8 Jul 2026
"Modo evolves from data pipelines to AI-driven workflow orchestration, emphasizing dynamic scaling, GPU support, and developer/agent-friendly tooling while avoiding vendor lock-in."
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24 Jun 2026
Databricks' expansion from a Berkeley meetup to a 100,000-attendee event, coupled with initiatives like OmniGens, Open Sharing, and Genie, addresses agent interoperability, open data formats, cloud security, scalable analytics, and evolving database architectures, while emphasizing open ecosystems and customer-driven AI innovation.
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22 Jun 2026
AI security challenges in large language models, such as data leakage and prompt injection, require adversarial testing, red teaming, tools like *Shade* and *Signal*, and structured frameworks to address integration risks, robustness gaps, and enterprise-specific security demands.
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3 Jun 2026
Formal verification is positioned as a critical tool for advancing AI by ensuring system correctness through mathematical rigor, exemplified by Axiom Math's achievements, tools like Lean, challenges in AI generalization, and the vision of AI as a "superhuman mathematician" through verified reasoning.
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3 Jun 2026
Strategic AI development shifts to ecosystem-driven frameworks prioritizing value creation, covering Microsoft's rigorous model training, agent-driven workflow management, real-world impact challenges, innovative business models, inclusive AI participation, and redefining work through agentic systems.
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2 Jun 2026
Advanced AI integration in developer workflows leverages tools like GitHub Copilot and agentic systems to automate tasks and boost productivity, while addressing challenges like skill bloat, security, open-source trust issues, and the shift to modular AI capabilities in enterprise and collaborative environments.
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1 Jun 2026
Advancements in AI research through community-driven knowledge sharing, challenges in scaling video models, technical innovations like vision transformers and diffusion models, and the integration of language models in generative media, alongside hurdles in training efficiency and sustainable development.
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28 May 2026
The evolution of AI agent development shifts toward autonomous workflows via tools like Devin for code generation and OpenInspect for cloud management, addressing growth, infrastructure challenges, security, scalability, enterprise adoption, open-source initiatives, diverse non-engineering use cases, and the role of human oversight in AI-native coding.
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27 May 2026
ESMC leverages transformer-based models trained on 6.8 billion protein sequences to predict structures, design functional proteins, and uncover evolutionary patterns through scalable, data-driven approaches, while balancing evolutionary constraints with interpretability and addressing limitations in data diversity and model generalizability.
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21 May 2026
A company evolved from pre-Docker browser-based IDEs and developer events to modern sandboxing platforms prioritizing AI agent infrastructure, leveraging bare-metal compute for scalability and addressing market demands with open-source strategies, spiky workloads, and future AI Cloud expansion amid GPU shortages.
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