How do you pick the right career for the AI era? Author and AI expert Daniel Susskind tells @MerrynSW the jobs of the future will bear little resemblance to what you see on TV — so it's time to change our mindsets. Listen at bit.ly/4iGzRFt or watch Merryn Talks Money at bloomberg.com/videos

Caught in Scotland. Processed in China. Sold back in Britain. ‘Trade World’ author Ed Conway tells @merrynSW about the hidden journey of the fish finger — and what it reveals about global supply chains. Listen at bit.ly/3UUNYNy or watch at bloomberg.com/videos

EXCLUSIVE 🗞️- Britain’s economic watchdog, the OBR, is concerned that it may have to revise down the boost to GDP it had attached to Labour’s flagship planning reforms and 1.5 million new homes target. The OBR has invited housing market experts in for meetings in a bid to “understand why the housing market is underperforming” so badly. This will be a blow to the government and signals the state of our housing market amid worsening economic headwinds including inflation and higher mortgage rates which, in their defence, are neither Labour’s fault nor entirely within their control. It also raised questions about the OBR’s initial forecast which experts have told me was optimistic at best. My report @theipaper inews.co.uk/news/hidden-cost…

Seven in 10 GPs believe adult ADHD is over-diagnosed, with some saying private providers never reject a diagnosis 🔗 telegraph.co.uk/news/2026/09…

"that's not crofts. Unless I am unaware of public bodies that own land that is used for crofting" [Climate Action Committee 17 Sep 2026 09:38] Scottish Ministers own 95,000 hectares of crofting land containing over 1500 crofts (almost 10% of all crofts).

Oxford researchers just published a paper arguing LLMs cannot invent anything. Mathematically impossible. The reason is simple and brutal. A model trained to predict the next word can never believe something the existing data says is wrong. And every real breakthrough in history started with exactly that belief. In 1903 every prediction machine on Earth would have told the Wright Brothers that human flight was one to ten million years away. Nine weeks later they flew. Not because they had better data. Because they had a theory the data hadn't caught up to yet. That is the gap between AI and human thinking. LLMs mirror the past. Humans reason into a future that doesn't exist yet. Oxford just proved mathematically that those are two different things. I use these models every day. This matches what I see. The new stuff always comes from the human at the keyboard who decides the data is wrong. LLMs don't think. You do.