Épisodes

  • July 16 2025 - The Confidence Paradox in AI and the Rise of Open Source Alternatives
    Jul 16 2025
    Taylor and Morgan dive into a new DeepMind study revealing an anomaly in Language Learning Models' decision-making under pressure, known as the 'confidence paradox.' They also discuss open-source advancements, including the release of Voxtral, an open-source AI audio model by Mistral, and the upcoming product from Mira Murati's Thinking Machines. Besides, they cover changes in AI coding tools, AI's data security issues, and the need for monitoring AI's internal processes.
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    7 min
  • July 15 2025 - AI Landscape Reshapes: Open vs Closed Debate
    Jul 15 2025
    In this discussion, Taylor and Morgan dive into major AI developments. Topics include Meta's possible shift from an open-source AI model, Liquid AI's open-sourced LLM for edge devices, Cognition's acquisition of Windsurf's team for their AI coding agent, Google NotebookLM's upgrade with expert analysis, the emergence of 'Fractional Reasoning' in LLMs, and the benefits of using MLflow for tracking AI agent responses.
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    6 min
  • July 14 2025 - Surprising AI: From YouTube Fail Videos to Mental Health Bots
    Jul 14 2025
    Join Taylor and Morgan as they delve into a world where AI struggles with 'surprise' moments in YouTube fail videos, exposing limitations that could have real-world implications. The duo also explores potential risks surrounding AI therapy chatbots, the growing concern about their deployment without careful oversight. Wrapping up, they discuss China's new open-weight large language model, Kimi-K2, and the potential benefits and drawbacks of open-source models.
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    5 min
  • July 11 2025 - Innovation and Examination in AI
    Jul 11 2025
    In this engaging conversation, Taylor and Morgan discuss the implications of open-source medical AI models like Google's MedGemma, image-to-video generation capability in Veo 3, new AI modes in Firebase Studio, OpenAI’s launch of an open-weight LLM and a dedicated AI browser. They also share insights about LGND's earth-focused chatbot and the strategic hiring at Diligent Robotics.
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    6 min
  • July 10 2025 - AI Browsers and the Rise of Agentic AI
    Jul 10 2025
    In this discussion, Taylor and Morgan explore the emergence of AI-powered browsers such as OpenAI’s new tool and Perplexity’s Comet, as well as the shift towards agentic AI in customer service and operations. They delve into the potential of AI agents replacing traditional SaaS, the increasing accessibility of developer tools like GitHub Copilot, and intriguing developments in open-source robotics. The episode also celebrates the winners of the 7th annual Women in AI awards and explores how AI can inspire unexpected innovations.
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    5 min
  • July 09 2025 - Decoding AI Power Plays & Breaking Barriers
    Jul 9 2025
    In this lively dialogue, Taylor and Morgan delve into Salesforce's ambitious data control strategy and the implications of such centralization. They also discuss MemOS's intriguing application for AI memory systems, explore the concept of 'ethical AI' in video generation, and ponder SmolLM3's potential to revolutionize accessibility and multilingualism in AI.
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    6 min
  • July 08 2025 - Advancements in AI: Collaborative Models and Efficient Solutions
    Jul 8 2025
    Taylor and Morgan discuss the latest developments in AI, including ByteDance's new tool for software engineering tasks, Google's open-sourced MCP Toolbox, and Capital One's multi-agent AI workflows. They also delve into ChatGPT's interactive learning feature and Sakana AI's collaborative approach to problem-solving. Lastly, they touch upon the importance of efficiency in AI models and the implications of Capgemini's hefty investment in AI technology.
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    7 min
  • July 07 2025 - Navigating the AI Spectrum: From Hype to Reality
    Jul 7 2025
    Taylor and Morgan dive into recent developments in Artificial Intelligence, discussing Alibaba's move to close-source its GPT-4 competitor and the ethical implications of gaming AI peer review. They also explore the idea of 'bounded problems' and practical applications of reinforcement learning and context engineering in AI.
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    7 min