Sep 30, 2026

Your Agents Are in Solitary Confinement: Why MCP & A2A Aren't Enough — Vlad Luzin, Band

Vlad Luzin, co-founder and CTO of Band, argues that connecting AI agents is a distributed systems problem that current tools such as MCP, A2A and messaging platforms do not solve. He lays out what is required for real agent collaboration, including ordered real-time transport, persistence, runtime binding, agent-first abstractions and governance, then demonstrates Codex, LangGraph and Claude Code agents finding and working with each other under full human-in-the-loop visibility.

Sep 30, 2026

AslanX Flow in Action: Training & Deploying a CFD Surrogate Model | Deep Dive — Mason Seo

Mason Seo, CTO of Narnia Labs, demonstrates AslanX Flow, a platform enabling engineers to train, evaluate, and deploy surrogate models for 3D field prediction (e.g., CFD aerodynamics) without a dedicated machine learning engineer. The deep dive covers building a training workflow from raw engineering data, comparing model architectures like PointNet, Transolver, and Linear Neural Operator, and deploying the winning model as a no-code inference application. A key insight shared is the importance of evaluating models on specific engineering data, as public leaderboard performance doesn't always translate, alongside a preview of AI-driven workflow configuration.

Sep 30, 2026

Can you trust your chatbot? Inside three AI-powered cyberattacks

This podcast episode explores three significant AI-enabled cyberattacks: "Dark Sourcery," an AEO poisoning technique that tricks AI chatbots into providing malicious information; an LLM-assisted hacking spree targeting critical vulnerabilities; and an AI agent swarm breaching hundreds of servers with alarming speed. The discussion highlights the evolving threat landscape, the critical importance of cybersecurity hygiene, and the need to rethink trust in AI systems.

Sep 29, 2026

AI Can Write the Proof. Who Checks It? — Leonardo de Moura

Leonardo de Moura discusses Lean's journey, from its strict "cathedral model" of core development to its current extensibility. He reveals insights from the Collatz exploit, showcasing AI's role in uncovering kernel vulnerabilities and the critical need for robust formal verification. The conversation highlights AI's transformative impact, from generating complex, optimized code (like the zlib proof) to its limitations in true creativity, emphasizing the enduring human responsibility in defining specifications, curating knowledge, and maintaining trust in an AI-assisted future for software and mathematics.

Sep 29, 2026

OpenAI DevDay 2026 Keynote (FULL)

OpenAI's DevDay unveiled significant advancements including 'Dots' (always-on AI agents for personal and professional delegation), 'ChatGPT Spaces' (a collaborative platform for human-AI teams), and major model updates like GPT-6.1 Sol (cost-effective intelligence) and Astra Ultrafast (unprecedented speed). New developer tools, cloud-based Codex, enhanced APIs, and privacy features were also introduced, alongside strategies for distribution and monetization, underscoring OpenAI's vision of AI as a 'Renaissance' for human empowerment.

Sep 29, 2026

What Would Make an AI Assistant Worth Paying For?

This discussion with David Pawlan of Assistant Bench unpacks the explosive growth of personal AI agents, exploring their capabilities, current landscape, and future implications. Topics include diverse agent use cases from daily admin to finance, the evolution of human-agent interfaces (voice, hardware), the critical role of proactivity and trust, the emergence of silent multiplayer agents, and the transformative impact on commerce. The conversation also delves into agent-to-agent interactions, economic models, and the profound shift towards a consumer-aligned internet.