『Turing's Torch Weekly | Artificial Intelligence News』のカバーアート

Turing's Torch Weekly | Artificial Intelligence News

Turing's Torch Weekly | Artificial Intelligence News

著者： Jonathan Harris | Artificial Intelligence News Host
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Turing's Torch Weekly with Jonathan Harris covers cutting-edge artificial intelligence news and AI breakthroughs combined with insightful technology trends analysis. From AI ethics and AI in the workplace to generative AI and AI policy, this tech podcast blends expert commentary with Gen X humor to keep you informed on AI agents, machine learning news, and the future of work.Copyright 2026 Jonathan Harris
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  • Agentic AI, Model Hype, and MCP and Agent Skills

    Agentic AI, Model Hype, and MCP and Agent Skills
    2026/07/24
    Jonathan Harris cuts through Agentic AI, Model Hype, MCP and Agent Skills, Dirty Data, and Workflow Automation in this 60-minute Turing’s Torch: Artificial Intelligence Weekly briefing. What matters is simple: what is useful, what is undercooked, and who carries the risk once the demo glow wears off. Expect plain-English context on power, money, data, labour and control, with the usual vendor fireworks left outside where they belong. Longer episodes also leave room for the awkward plumbing: incentives, security assumptions, governance gaps, and the budget line nobody wanted to read.
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    1 時間
  • Model Hype, Dirty Data, and Workflow Automation

    Model Hype, Dirty Data, and Workflow Automation
    2026/07/10
    Jonathan Harris cuts through Model Hype, Dirty Data, Workflow Automation, and AI Governance in this 45-minute Turing’s Torch: Artificial Intelligence Weekly briefing. What matters is simple: what is useful, what is undercooked, and who carries the risk once the demo glow wears off. Expect plain-English context on power, money, data, labour and control, with the usual vendor fireworks left outside where they belong.
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    25 分
  • AI Agent Skills and Model Hype

    AI Agent Skills and Model Hype
    2026/07/03
    What matters is discerning the practical utility of AI advancements from the prevailing hype. Jonathan Harris examines how new AI models and agent skills are being implemented, often revealing that the real challenge lies in the surrounding infrastructure and governance, not just the core technology. This week explores the tension between convenience and control, the complexities of decentralised AI, and the critical need for robust data engineering and benchmark hygiene to ensure genuine capability.
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    24 分
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