HeyJaredTuring's Torch AI weekly
Turing's Torch AI Weekly is hosted by me, Jonathan Harris — serving up a smart, sharp take on the latest in artificial intelligence.
- Indexed episodes, last 90 days
- 5
- Latest publication
- Aug 28, 2026
- Audience
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- Earliest in this view
- Jul 3, 2026
Latest episodes
Model Hype, Medical AI and Brussels Policy (opens the original)
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What matters is not whether this week’s major model release deserves the word milestone, but what it can actually do, for whom, and under what conditions. Jonathan Harris weighs the claims against the familiar machinery of Model Hype, where AI benchmarks often settle less than their authors suggest. A medical diagnostics paper warrants attention beyond its press release, while a Brussels policy move has been widely misread. The useful signal lies in the practical limits and incentives; the noise
AI Agents: Authority Not Just Ability (opens the original)
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The practical issue with artificial intelligence agents isn't just how clever they are, but what they're allowed to do. Jonathan Harris explains why governance needs to precede deployment, moving beyond benchmark scores to focus on precise control over access and actions. This week, we examine how the hype around agentic AI often distracts from fundamental questions of authority and security. We also look at the layers of engineering behind AI systems – prompt, loop, and graph – and why confusin
Agentic AI, Model Hype, and MCP and Agent Skills (opens the original)
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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: ince
Model Hype, Dirty Data, and Workflow Automation (opens the original)
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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.
AI Agent Skills and Model Hype (opens the original)
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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 capabi
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