Turing's Torch Weekly | Artificial Intelligence News

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...

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...

Jonathan 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...

What 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 over...

What 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.

Jonathan 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 an...

Jonathan 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 contr...

Jonathan 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 an...

Jonathan 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...

Jonathan 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, w...

A blunt, British take on what actually mattered in AI this week — and what was just noise dressed as a breakthrough.

A blunt, British take on what actually mattered in AI this week — and what was just noise dressed as a breakthrough.

AI accountability moves to boardrooms amid regulation. Can companies be transparent, or is it window dressing? Agentic AI costs exceed forecasts, raising questions about financial audits. Nvidia's AITune aims to streamline deep learning deployment. Will it democratise AI or concentrate power? Washington considers AI regulation to curb risks without stifling progress. Social media monitoring in the...

OpenAI floats a four-day work week and robot taxes, sparking debate about AI's impact on labour and wealth. Is it visionary or a publicity stunt? Meanwhile, businesses grapple with redesigning processes for AI, and the need for robust AI governance frameworks intensifies amid security concerns. Plus, the latest AI systems have a memory problem. They struggle to retain context, hampering their usef...

This week, signal vs. noise in AI. Glia wins an award for AI safety in banking, highlighting data privacy and security. SAP partners with ANYbotics to integrate robots into industrial ops, raising automation questions. Microsoft releases multilingual text models, and Alibaba updates Qwen for integrated media. Plus, AI struggles with cultural nuances, and an AI attacks a human coder. We also examin...

A blunt, British take on what actually mattered in AI this week — and what was just noise dressed as a breakthrough.

A blunt, British take on what actually mattered in AI this week — and what was just noise dressed as a breakthrough.

A blunt, British take on what actually mattered in AI this week — and what was just noise dressed as a breakthrough.

A blunt, British take on what actually mattered in AI this week — and what was just noise dressed as a breakthrough.

A clear-eyed look at what actually matters in artificial intelligence.

A clear-eyed look at what actually matters in artificial intelligence.

A clear-eyed look at what actually matters in artificial intelligence.

A clear-eyed look at what actually matters in artificial intelligence.

A clear-eyed look at what actually matters in artificial intelligence.

A clear-eyed look at what actually matters in artificial intelligence.