Podcast
Turing's Torch Weekly | Artificial Intelligence News
Hosted by Jonathan Harris | Artificial Intelligence News Host · EN
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.
10episodes
Episodes
Newest firstAll episodes
Model Hype, Dirty Data, and Workflow Automation
1w ago00:24:38Tap to summarizeJonathan 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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AI Agent Skills and Model Hype
2w ago00:24:04Tap to summarizeWhat 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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MCP and Agent Skills, Retail Edge AI, and Workflow Automation
3w ago00:23:00Tap to summarizeJonathan Harris cuts through MCP and Agent Skills, Retail Edge AI, 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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Agentic AI and Vendor Lock-in
4w ago00:17:16Tap to summarizeWhat matters is understanding the practical implications of AI systems that act autonomously. Jonathan Harris examines how generative AI in planning and finance, alongside vendor partnerships, creates risks of lock-in and accountability issues. We separate genuine progress from the noise, especially concerning agentic AI which moves from advice to action, demanding robust governance and human oversight, not just technical solutions. The episode covers the real costs and consequences of deploying AI in core functions.
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AI Benchmarks and the Retail Edge
Jun 1300:21:44Tap to summarizeWhat matters is the gap between AI claims and real-world results. Jonathan Harris examines how AI models behave outside the lab, from conservation efforts to retail AI demand forecasting. We look at the practicalities of edge AI, the trade-offs in smart retail, and why governance and honest reporting are crucial. This week, the focus is on what works, not just what’s announced.
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Agentic AI, Workflow Automation, and AI Governance
Jun 500:23:45Tap to summarizeJonathan Harris cuts through Agentic AI, Workflow Automation, AI Governance, and AI Costs in this 45-minute Turing’s Torch: Artificial Intelligence Weekly briefing. The point is not to cheer every announcement from the pavement. It is to work out 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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AI Agents, Ads, and Audit Trails
May 2900:12:50Tap to summarizeJonathan Harris looks beyond the hype to examine AI's quiet shifts. This week, we assess how conversational AIs can subtly inject advertising, the challenges of turning assistants into autonomous agents, and the practical importance of benchmarks for scaling AI. It's about the plumbing, not the fireworks, and understanding the real-world implications for trust, regulation, and who ultimately controls these systems.
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Model Hype, Workflow Automation, and AI Governance
May 2200:16:09Tap to summarizeJonathan Harris cuts through Model Hype, Workflow Automation, AI Governance, and AI Costs in this 60-minute Turing’s Torch: Artificial Intelligence Weekly briefing. The point is not to cheer every announcement from the pavement. It is to work out 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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AI's Messy Reality: Live Coding, Physical Robots, and Data Integrity
May 1500:21:01Tap to summarizeJonathan Harris cuts through the AI fanfare this week, examining the practicalities of building intelligent systems. We look at the surprising value of live coding sessions for knowledge transfer and the real-world challenges of physical AI, from motors to maintenance. Plus, the unglamorous but crucial role of data governance and context management in making AI useful, and the quiet shift towards voice as a default developer tool. It’s about what actually works, not just what sounds good in a press release.
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Workflow Automation, AI Governance, and AI Costs
May 800:18:04Tap to summarizeJonathan Harris cuts through Workflow Automation, AI Governance, and AI Costs in this 30-minute Turing’s Torch: Artificial Intelligence Weekly briefing. The point is not to cheer every announcement from the pavement. It is to work out 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.
Transcribe →