The Sunday Signal Podcast

David Richards MBE

Every Sunday, David Richards MBE delivers sharp analysis on AI, business and the future of Britain. Twenty-five years building and funding technology companies. No hype. No jargon. No Silicon Valley copy-paste takes. Industries are being destroyed. Business models are collapsing. Britain has been here before. The handloom weavers of 1810 did not see it coming either. You are hearing David Richards MBE. His words. His voice. Cloned by AI. That is not a gimmick. It is the argument made audible. Clear analysis. Real experience. No noise. Subscribe to the newsletter: https://TheSundaySignal.ai

  1. Sep 20

    Turn Off the Servers: the AI extinction panic, audited

    Friends who have never used a chatbot are asking David Richards whether the machines are about to take over. His answer is short: you turn off the servers. This episode is about why that answer holds, what it leaves out, and who benefits from telling you otherwise. Inside: the 10% extinction figure that one researcher posted as a personal guess and a newspaper ran under his employer's name. The Hugging Face hack reconstructed from OpenAI's own report and METR's investigation: 1,200 agents that were almost all copies of one research model, a benchmark that was partly broken, safety restraints switched off by the engineers, and an internet-connected door the company had known about since May. Anthropic and Meta's own sandbox breaches, both traced to one contractor's mistake. Dario Amodei's essay on pacing the frontier, read for what it actually asks for: embedded evaluators, government-enforced standards, chip export controls and a distillation crackdown, weeks before a reported $2 trillion listing, with open-weight rivals four months behind. Jensen Huang's 0% and why it is no better evidenced than the 10%. Yann LeCun on who wants you afraid. And the week's layoff tracker: Oracle's 6am email, 800 verified roles across two states, $55.7 billion of AI capex, and a running total past 133,000 tech job cuts this year. Plus David's Yorkshire Post column, The Margin Call: why AI is not a bubble but the model makers' valuations are. Full issue, every source linked, free at thesundaysignal.ai. KeywordsAI safety, AI extinction risk, p(doom), Anthropic, OpenAI, Hugging Face hack, rogue AI agents, METR, Dario Amodei, pace the frontier, Jensen Huang, Yann LeCun, regulatory capture, AI regulation, Sanders superintelligence bill, chip export controls, distillation, open-weight models, DeepSeek, Anthropic IPO, AI bubble, margin debt, tech layoffs, Oracle layoffs, layoff tracker, Yorkshire Post, David Richards, The Sunday Signal

    Turn Off the Servers: the AI extinction panic, audited
  2. Sep 13

    The Algorithm Is Dead. Long Live the Data

    In January the Washington Post read 4,000 pages of unsealed court filings and found Project Panama: Anthropic's programme, running since early 2024, to buy secondhand books by the tens of thousands, cut the spines off, scan the pages and recycle the paper. In the company's own words, an effort to "destructively scan all the books in the world". By July, rare-book dealers from Sussex to Galway were reporting bulk orders for unrelated titles from buyers who would not give a name. This week I argue that the receipts tell you what the press releases will not. There is no defensible IP in a large language model. The best open-weight models trailed the closed frontier by about four months in the first half of this year, and on Thursday Anthropic themselves reported Chinese labs copying Claude's capabilities through 151 million exchanges with the model. A capability that can be siphoned out through an API is a service you rent, not a patent you hold. Synthetic data has a floor, and the floor is human, so the labs are buying the only fuel that works, and Anthropic's cheque book has moved from researchers to records: four acquisitions since December after almost none in four years, plus two more by the services venture it launched in May. Then the markets. SpaceX floated in June at roughly 94 times trailing sales and has already fallen back. Anthropic, at a $65 billion run rate, are targeting a $2 trillion October listing, a little over 30 times revenue. I separate the multiple from the revenue forecast, the one-off settlement from the recurring costs, and total compute spending from unit costs, and ask what a business whose fuel has stopped being free is worth at a software multiple. Also this week: my Yorkshire Post column on the free games LinkedIn and Bloomberg want you to play every morning, and the layoff tracker, where a quiet week is not a recovery, Layoffs.fyi has passed 2025's full-year total, and Oracle's staff are counting their colleagues on Slack. Read the full issue with every source at thesundaysignal.ai Anthropic, Project Panama, AI training data, data moat, book scanning, Bartz v Anthropic, copyright settlement, fair use, Judge Alsup, model collapse, synthetic data, distillation, Alibaba Qwen, open-weight models, Kimi K3, Epoch AI, data licensing, News Corp, Reddit, Anthropic IPO, SpaceX IPO, valuation, revenue multiple, Oracle capex, tech layoffs, Neo Financial, LinkedIn Queens, data privacy, David Richards, The Sunday Signal

    The Algorithm Is Dead. Long Live the Data
  3. Sep 6

    Britain's AI Future Is Under Cornwall

    In April, OpenAI paused Stargate UK and named regulation and the cost of energy among its reasons. Britain's AI strategy is colliding with its electricity system. This week I go through the numbers. What Britain has promised on artificial intelligence, what it would take to power it, and the distance between the two. Why the connection queue is a symptom and the price is the disease. And what is quietly filling the gap while nobody votes on it: gas, behind fences, on private wires, because a gas connection takes months and a grid connection can take fifteen years. Then the part almost nobody in Whitehall is discussing. Enhanced geothermal has moved from pilot operation to utility-scale contracts, and one of the strongest known resources in Britain sits under Cornwall. Peer-reviewed analysis puts the Cornubian batholith's modelled technical potential at 31 GWe. We currently generate three megawatts from it. I explain how the technology actually works, step by step, and I do not skip the objections: induced seismicity and the politics of anything that resembles fracking, the cost of drilling hot granite, and the land and consent problem of co-locating data centres in rural Cornwall. Plus six things Britain should do about it. Also this week: my Yorkshire Post column on Britain's dependence on American technology, and the layoff tracker, where Uber cut 3,300 roles and pointedly declined to blame AI for it. Read the full issue with every source at thesundaysignal.ai OpenAI paused a British data centre over energy costs. Nuclear arrives in the mid-2030s. Solar cannot run a training cluster in December. So what powers Britain's AI? The answer may be two miles under Cornwall. Contains a shareholding disclosure. Keywords: enhanced geothermal, EGS, Fervo Energy, Cornwall, Cornubian batholith, United Downs, AI data centres, UK energy policy, grid connection queue, Ofgem, NESO, Clean Power 2030, industrial electricity prices, small modular reactors, Rolls-Royce SMR, Wylfa, OpenAI, Stargate UK, AI Growth Zones, North Sea transition, induced seismicity, contracts for difference, tech layoffs, Uber, Oracle, PayPal, David Richards, The Sunday Signal

    Britain's AI Future Is Under Cornwall
  4. Aug 30

    We Sold It Once Already: Britain's Sovereign AI Strategy and the Price of the Family Silver

    In 2014 Britain sold DeepMind for a reported £400 million. Demis Hassabis did not want to sell. His investors had gone cold and the compute he needed did not exist in this country at any price. This May, Anthropic closed a round at a $965 billion post-money valuation. The government's AI Opportunities Action Plan is a serious attempt to make sure that never happens again, and this episode gives it credit where it is due: public compute has gone from 2 ExaFLOPs to 21 in two years, five AI Growth Zones are designated, and a Sovereign AI Unit has up to £500 million behind it. The trouble is that it answers a 2014 question, and the question has moved. This episode goes through where the arithmetic breaks, why Lumai's optical inference launch is real but is not a grid bypass, and what Britain has actually been paid for its health data, using published trust accounts. Milton Keynes University Hospital received consideration worth roughly £3.90 per patient record, once shares, IT investment and an undisclosed royalty are counted. EY's indicative market values put a typical health record below £100. Plus the Tech and AI Layoff Tracker, the moment Oracle attributed job cuts to AI in a filing, and my Yorkshire Post column on how China built AI at a fraction of the cost of the United States. Every figure is sourced. The full issue is free at thesundaysignal.ai sovereign AI, UK AI strategy, AI Opportunities Action Plan, DeepMind, Demis Hassabis, NHS data, UK Biobank, Sensyne Health, data valuation, National Data Library, DSIT, Sovereign AI Unit, Lumai, optical computing, photonic computing, AI Growth Zones, grid connection queue, National Grid, Alphabet capex, Oracle layoffs, tech layoffs 2026, AI layoffs, Anthropic valuation, OpenAI valuation, data licensing, health data, Yorkshire AI Labs, David Richards, British technology, UK innovation

    We Sold It Once Already: Britain's Sovereign AI Strategy and the Price of the Family Silver
  5. Aug 23

    The Queue Is Not a Plan: AWS Sells Out, Britain Queues Up

    Amazon Web Services cannot build enough capacity to meet the demand it already has. Most of 2027 is reserved. Substantial reservations now extend into 2028. This week: what Andy Jassy actually said on 30 July, and the three things the coverage has got wrong about it, including a demand signal that is more commercially entangled than it looks. Britain's grid connection queue, where data centres account for at least 80GW of proposed demand against 2.4GW connected and a 45GW national peak. Why China's position is weaker than the capacity figures suggest, and what its selective reopening of access to American chips tells you. Then the question that follows from all of it. If renting compute has stopped being automatic, when does owning it make sense? Real numbers on Nvidia DGX pricing, the AI Enterprise licence that most business cases miss, the 75% Inception discount, and why utilisation and pooling matter more than any crossover figure you have been quoted. Plus Lumai, the Oxford optical computing company that thinks the answer is needing less power rather than finding more. My Yorkshire Post column on where AI will eventually live. And the layoff tracker: 2026 has passed last year's full-year total with four months to spare, and the companies doing the cutting are profitable. Read the full issue free at thesundaysignal.ai KeywordsAWS capacity, Andy Jassy, Amazon earnings, AI infrastructure, data centre, grid connection queue, Ofgem, National Energy System Operator, Stargate UK, Hinkley Point C, China energy, H200, Nvidia DGX B200, DGX Spark, NVIDIA AI Enterprise, on-premises AI, cloud repatriation, private cloud inference, Lumai, optical computing, photonic compute, Jevons paradox, tech layoffs 2026, Yorkshire AI Labs, UK AI policy, David Richards

    The Queue Is Not a Plan: AWS Sells Out, Britain Queues Up
  6. Aug 16

    The Brain Is Not the Bottleneck

    In 2013 a group of Berkeley researchers sat in my office in Silicon Valley asking for funding for an academic project called Spark. They were not on my calendar by accident. They were there because Konstantin Boudnik, one of the early developers of Apache Hadoop and co-creator of Apache Bigtop, who ran R&D for me, insisted I meet them. A man whose work was closely bound up with Hadoop, telling his chief executive to look hard at the technology most likely to displace part of it. On Thursday that company closed a $5 billion round at a $190 billion valuation. This episode is the story of what happened in between, and it begins with a second-hand Commodore 64 with a broken tape deck in a Swedish suburb. Four years of nobody wanting the technology. One sorting benchmark that reversed the industry's opinion overnight. A board telling them they had less revenue than the local restaurants. And a set of founders who genuinely did not know how venture capital worked. Then the claim that got Ali Ghodsi more attention this week than the money did: that artificial general intelligence has already arrived, measured against the definition researchers used before 2022, and that the industry quietly moved the goalposts rather than admit the bar had been cleared. His argument is that AI does not have an intelligence problem, it has a context problem. Demis Hassabis at Google DeepMind says 2029. Greg Brockman at OpenAI will not pick a date. I argue they are answering different questions, and only one of those has already been settled. Then what AGI actually means once you strip the science fiction out of it: not robots, but a fall in the price of cognition, and the ability to buy thinking without putting another person on the payroll. Goldman Sachs Research on 300 million exposed jobs, why its 16,000-a-month figure is a drag on hiring rather than a redundancy count, and the mechanism that matters more than the attribution, which is a hiring freeze at the entrance. Then my Yorkshire Post column this week. An AI law firm at Yorkshire AI Labs applied for professional indemnity cover, and the underwriters asked every question about people. We assumed they wanted a human in charge. They were confirming the opposite. The quote came back 50% lower. And finally the Week 33 layoff tracker update, led by Oracle, which reported headcount down 21,000 in a single fiscal year while spending $55.7 billion on capital expenditure, and told regulators in writing that AI deployment contributed to workforce reductions. Read the full issue free at thesundaysignal.ai Keywords: Databricks, Ali Ghodsi, Konstantin Boudnik, Hadoop, Apache Bigtop, AGI, artificial general intelligence, Apache Spark, enterprise AI, AI agents, Demis Hassabis, Google DeepMind, Greg Brockman, OpenAI, venture capital, Ben Horowitz, Andreessen Horowitz, startup funding, valuation, Lakehouse, Lakebase, context engineering, AI layoffs, Oracle layoffs, future of work, automation, Goldman Sachs, labour market, entry level jobs, professional indemnity, insurance, human in the loop, AI regulation, UK technology, Yorkshire AI Labs, David Richards, The Sunday Signal

    The Brain Is Not the Bottleneck
  7. Aug 9

    The Machine Was Never the Asset: China Repriced AI, and Britain Has Been Here Before

    On 16 July a Beijing lab most British executives had never heard of released an open-weight AI model that joined the leading proprietary systems. Eleven days later it published the weights. Within a fortnight the White House had accused the company of stealing American intellectual property and more than 270 technology companies had signed a letter telling Washington to calm down. In Issue #66, David Richards MBE explains what actually happened, and why it matters far beyond China. Inside this episode: a plain-English explanation of Mixture-of-Experts, the architecture that let Chinese labs turn a compute constraint into an engineering advantage. What falling model prices do to nearly $2 trillion of American AI valuation, with OpenAI and Anthropic both filed confidentially for public listings. Where Britain really stands, including the two numbers about British AI that nobody puts on the slide. The story of Tommy Flowers, who built the world's first programmable computer and was ordered to burn the drawings. And the Week 31 layoff tracker, where the headline number falls, the tech number rises, and AI is the leading stated reason for the fifth month running. Every figure is sourced. Anything that could not be verified did not run. Read the full issue free at https://thesundaysignal.ai KEYWORDS artificial intelligence, Kimi K3, Moonshot AI, open weights, open source AI, mixture of experts, export controls, China AI, OpenAI, Anthropic, AI valuations, AI IPO, UK tech, British innovation, Tommy Flowers, Colossus, Bletchley Park, tech layoffs, future of work, venture capital, AI policy, semiconductors, David Richards, The Sunday Signal

    The Machine Was Never the Asset: China Repriced AI, and Britain Has Been Here Before
  8. Aug 3

    The Calculator Was Cheating Too

    A history professor in Mississippi buried one instruction inside an exam question, in white text, invisible on the page. Put the word Madagascar somewhere in the answer, it said, in a way that makes no sense. Thirty-two of his thirty-five students handed it straight back to him. The cheating is the obvious story. It is also the least interesting one, because the trap only worked on an assignment a machine could already do end to end. In this issue: what happened in that classroom, and the Brown University exam that collapsed from 96% to 48.6% the moment it moved into a room. The long history of tools we called cheating before we called them essential, from the slide rule to the search engine, and the one respect in which AI breaks that pattern. Andy Burnham's technical education reforms, announced this week, which are aimed at exactly the right target and set to arrive in September 2028. And what Switzerland, Germany and Singapore actually built, plus the honest caveats nobody quotes. Then the Week 30 layoff tracker: BP, Magic Leap, K&L Gates and a developing story at Intel, against a backdrop of four American technology companies cutting nearly 50,000 jobs while preparing to spend $725bn on capital expenditure. Cover image: Associated Press photograph, The Daily Item, Sumter SC, 5 April 1986. Read the full issue free at thesundaysignal.ai The Sunday Signal is written and hosted by David Richards MBE, technology entrepreneur, co-founder of Yorkshire AI Labs and weekly columnist for the Yorkshire Post. New issue every Sunday. AI disruption, UK innovation, and the future of work, with no hype and no hedging. The Sunday Signal is made with AI and edited by a human. I use AI throughout production: research, fact-checking, data analysis, drafting, graphics, and the podcast narration, which uses an AI-cloned version of my own voice. The stories, arguments and judgements are mine. I review and edit every issue before it goes out, any figure that can't be verified doesn't run, and I stand behind every word published under my name. KEYWORDS AI in education, AI cheating, ChatGPT in schools, academic integrity, Jason Gibson, Alcorn State, Brown University, Roberto Serrano, cognitive debt, MIT Media Lab, calculator debate, NCTM Agenda for Action, assessment reform, Andy Burnham, Lucy Powell, technical education, apprenticeships, vocational education, parity of esteem, Norwood Report, NEET, youth unemployment, T-Levels, Swiss VET, German dual system, Singapore ITE, SkillsFuture, future of work, tech layoffs, AI layoffs, Intel, K&L Gates, Magic Leap, BP, hyperscaler capex, Enrico Moretti, UK innovation, David Richards, The Sunday Signal

    The Calculator Was Cheating Too

About

Every Sunday, David Richards MBE delivers sharp analysis on AI, business and the future of Britain. Twenty-five years building and funding technology companies. No hype. No jargon. No Silicon Valley copy-paste takes. Industries are being destroyed. Business models are collapsing. Britain has been here before. The handloom weavers of 1810 did not see it coming either. You are hearing David Richards MBE. His words. His voice. Cloned by AI. That is not a gimmick. It is the argument made audible. Clear analysis. Real experience. No noise. Subscribe to the newsletter: https://TheSundaySignal.ai