Hosted by Anlie Arnaudy, Daniel Herbera and Guillaume Fournier · 🇺🇸 US · EN · 82 episodes
Established thought leaders with verified media credentials.
AI Odyssey is your journey through the vast and evolving world of artificial intelligence. Powered by AI, this podcast breaks down both the foundational concepts and the cutting-edge developments in the field. Whether you're just starting to explore the role of AI in our world or you're a seasoned expert looking for deeper insights, AI Odyssey offers something for everyone. From AI ethics to machine learning intricacies, each episode is crafted to inspire curiosity and spark discussion on how artificial intelligence is shaping our future.
Anlie Arnaudy, Daniel Herbera and Guillaume Fournier hosts AI Odyssey, a technology show with 82 episodes published.
What if today’s “AI agents” are mostly automation pipelines wearing a more ambitious label? This episode explores Critique of Agent Model, a paper that draws a sharp line between agentic systems, which look autonomous be
What if the best way for AI agents to learn together is to stop forcing them to share the same memory? This paper introduces DecentMem, a framework where each agent keeps its own adaptive memory instead of relying on one
What if an AI agent could preserve a colleague’s judgment without pretending to become that person? COLLEAGUE.SKILL turns chats, documents, emails, screenshots, and other traces into inspectable agent skills: portable fo
What if the next leap in AI agents is not a bigger model, but a skill document that learns from failure? SkillOpt treats agent skills as trainable external memory: a separate optimizer edits a compact procedure, then kee
What happens when AI agents are asked to build the spreadsheets finance teams actually use? WorkstreamBench, a benchmark for end-to-end financial spreadsheet work, exposes the gap between impressive demos and professiona
Every forty years, the way we touch a computer changes shape. The command line gave way to the mouse. The mouse gave way to the touchscreen. And now, quietly, the screen itself is starting to disappear. In this episode,
Most people assume an AI agent should ask for clarification as early as possible. This paper shows that the truth is more subtle. For long-horizon agents — AI systems that execute many steps over time — the value of a cl
What if multi-agent AI systems fail less because the models are weak, and more because the agents are badly coordinated? This paper treats coordination as an architectural layer : who talks to whom, who decides, how outp
What if the next leap in AI agents is not a smarter worker, but a better organisation? This paper introduces OneManCompany, a framework that turns scattered agents, tools, skills, and runtime configurations into managed
What if the real bottleneck for AI agents is not reasoning,but memory? StructMem argues that long-term agents should not storeconversations as isolated facts or expensive knowledge graphs. Instead, they should remember t
What if the missing layer in agent design isn't communication, but version control? In this episode, we unpack Autogenesis, a two-layer protocol that treats prompts, tools, and memory as first-class resources with explic
What if the biggest bottleneck in AI agents wasn't reasoning power, but memory management? In this episode, we explore a fascinating new framework called MIA, the Memory Intelligence Agent, which reimagines how AI resear
What if the biggest threat to AI agents isn't a flaw in the model, but the internet itself? A new paper from Google DeepMind introduces the first systematic framework for "AI Agent Traps": adversarial content hidden in w
What happens when you give an AI system the ability to modify not just its answers, but the very process it uses to improve itself? In this episode, we explore HyperAgents, a new framework from Meta and UBC that enables
What if an AI agent could learn from every single failure, every clumsy workaround, every brilliant recovery, and feed that experience back into its own future performance? Today’s LLM-powered agents suffer from a fundam
What if AI agents could diagnose their own mistakes and build the exact skills they need to fix them, with no human intervention? In this episode, we explore EvoSkill, a self-evolving framework where coding agents automa
What if the biggest bottleneck in AI agent performance isn’t the model itself—but what it doesn’t know how to do? In this episode, we explore SkillsBench, the first benchmark that systematically measures how structured p
What if your AI assistant could actually remember you — not just your name, but how your preferences evolve over time? Researchers from Meta have introduced PAHF — Personalized Agents from Human Feedback — a framework th
What if AI stopped waiting for your instructions and started planning, delegating, and executing complex projects on its own — for hours or even days? In this episode, we explore the rise of “Deep Agents” — a new generat
Remember when Siri was supposed to change everything? This might actually be it. OpenClaw is the Jarvis we were promised—an AI assistant that actually does things. It reads your emails, manages your calendar, negotiates
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AI Odyssey is hosted by Anlie Arnaudy, Daniel Herbera and Guillaume Fournier. The show is categorised under technology and has published 82 episodes.
AI Odyssey has published 82 episodes.
AI Odyssey regularly covers technology. It sits in the technology category.
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