AI Neanderthal by Malcolm Werchota

Malcolm Werchota
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AI news for humans, not robots. Every weekday, Malcolm Werchota comes out of the cave and explains what actually happened in AI — in plain language, with the numbers checked and the hype taken out. Around ten stories a day: three explained slowly, the rest fast. No jargon. No breathless futurism. Just what happened, what it costs, and who gets handed the bill — explained the way you would explain it to a smart friend who does not work in tech. If you run a company, sit on a board, or simply want to understand the technology reshaping your industry, this is your daily 25 minutes. Keep the stories that touch your world. Stay curious, stay human.

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  1. vor 14 Std.

    #7 - The Bill Arrives Before the Payback

    AI's bill is arriving before the payoff. This episode follows the gap between the companies selling AI infrastructure, the companies financing it, and the businesses now moving money around to afford it. 📉 00:00 — Bond market aftershock — Semiconductor stocks took another hit as higher Treasury yields made the debt behind giant AI build-outs more expensive. Malcolm looks at why the tools have not suddenly become worse, but the time horizon for returns has become longer. 🏗️ 04:32 — Data centers and GDP — Is the US economy being carried by the data-center build-out? Malcolm compares the current capital wave with the railroad boom, and asks what remains if the investment cycle cools. 🧱 09:54 — TSMC's July tape — TSMC's July revenue rose 45% year-on-year after the company had already lifted its outlook. That proves demand for AI infrastructure; it does not prove every buyer will make money from it. ⚡ 13:32 — Etched and the inference bet — While broad chip stocks fell, Etched doubled its valuation in 26 days. Its bet: specialist inference hardware can deliver faster answers, lower costs and less electricity use than a general-purpose GPU. 💼 17:19 — SAP's AI bill — Hiring and travel restrictions are not just an SAP story. Malcolm's question for every operator: what are you cutting or reallocating in order to pay for AI models, tokens and infrastructure? 🩸 20:07 — Grail's cancer blood test — Galleri aims to detect more than 50 cancers from a blood sample. The episode looks at the gap between a test already sold to patients and the regulatory decisions still ahead. ✅ 23:59 — Three things for tomorrow — Put today's costs beside your AI costs, look for specialist bets that are thriving inside a constrained market, and decide what you are reallocating to fund AI. AI news for humans, not robots. Stay curious, stay human. More: werchota.ai

    #7 - The Bill Arrives Before the Payback

  2. vor 1 Tag

    #6 - The Week AI Started Deciding About People

    An AI store manager recommended firing one of its own employees — and a human signed it off. That is not the exception. That is the shape of the next ten years. This is the week AI stopped just advising us and started deciding about us: who gets fired, who counts as a child, and — if one report holds up — who gets shot at. 🧹 01:21 — The AI boss that fired a human. Luna runs a real shop in San Francisco — three-year lease, $7,500 a month, real payroll. It wrote its own attendance policy, forgot it for months, and needed a human engineer to tell it to search its own memory. Then it recommended parting ways. The staff are legally employed by Andon Labs, because an AI cannot be an employer. And the moment I actually got excited about: a leave request answered in one second, and answered wrong. 🔓 06:05 — ChatGPT decides who’s a kid. Not a passport, not an ID — around two thousand behavioural signals. Lauren Jonas of OpenAI: “If we predict you’re under 18, this becomes your default experience.” For two years these products were built to feel human. Now they’re engineering the intimacy back out — and shipping it everywhere except Europe, because Articles 22 and 8 say you do not profile a child. That delay is not a technical problem. It’s a legal opinion. 🛸 10:52 — The drone that chose its own target. Terminator mode is one source and unconfirmed — but Swarmer is Wall Street Journal-reported and already in combat: the operator picks the search area, and then, in its CEO’s words, “the drones then take over,” deciding the exact moment to release. Two million hours of Ukrainian combat video — 228 years — is training it. Its founder calls that “food for the AI.” And Helsing is in Munich, an hour from where I live. 🧠 15:10 — Google’s institutional memory walks out. Hassabis moves up, a Nobel laureate goes to Anthropic, Jeff Dean leaves after 27 years to found Discovery Loop — and Google invests in it. You’re leaving my company to build a startup? Here, have some money for your startup. Watch whether the next Gemini ships on time. That tells you more than any org chart. 🇧🇷 18:43 — Brazil: the Uber driver who reached a hundred million people. Daniel Santos built an AI grandmother, Dona Maria. 700,000 followers. A hundred million views. About $200 a month — plus $20 courses teaching people how to remove watermarks. Brazil banned political deepfakes in 2024 and never defined the word. Not a Russian troll farm, not Meta, not a billion-dollar consultancy. An Uber driver with AI tools. 🇦🇺 22:03 — Australia sends the bill. Want to build a large data centre here? Go ahead — but you must put at least as much energy into the grid as you take out, and you pay for the extra water. Not a principle. An invoice. Albanese: “It is not our goal to try and legislate for every possible eventuality or risk.” Compare that to a hundred articles of EU AI Act — and to Nvidia backstopping $105 billion in Ohio. 🎯 24:48 — Three things for Monday, and the close. Write down which decisions your AI may never make alone. Find your synthetic content before someone else weaponises it. And run a small open-weight model on one laptop, offline, on safe data. When AI only advised, a human always made the call. So don’t only ask whether the AI can make the decision. Ask who answers for it when it’s wrong — and whether they can actually do anything about it. AI news for humans, not robots. Stay curious, stay human. More: werchota.ai

    #6 - The Week AI Started Deciding About People

  3. vor 2 Tagen

    #5 - The Richest Industry With the Least Trust

    The richest industry in the world has the least trust. Only fifteen percent of Americans trust AI companies to decide how the technology gets built — lower than any other institution tested. Meanwhile Stripe just paid seven billion dollars for the toll booth, and Amazon is shredding rare books to feed a model. 🛣️ 01:07 — Stripe paid over seven billion dollars for OpenRouter — the toll booth every AI request passes through. Twenty-five trillion tokens a week, a five and a half percent fee. Like Visa buying the company that decides which bank processes your swipe. 🤝 05:58 — Only fifteen percent of Americans trust AI companies to decide how this gets built — the lowest of any institution tested. Dario Amodei calls it fundamentally a crisis of trust. 📚 09:24 — Amazon is buying rare books in bulk and slicing the spines to scan them. A journalist put an AirTag in one and traced it to a Las Vegas facility whose internal logo is a T. rex eating a book. 🇩🇪 12:34 — Gutenberg's city — and what Huawei's entire chip output actually amounts to next to Nvidia's. ✂️ 14:43 — Oracle put AI in a securities filing as the reason for cutting headcount. Not a rumour — a legal document. ⚖️ 18:01 — The European Commission's final Article Fifty guidance is live. Anything AI-generated in Europe has to be marked as such, and the fines run to a percentage of worldwide turnover. 🎙️ 21:33 — Two billion dollars for a dictation app. Why voice recognition companies may still be undervalued. 🎯 25:24 — Three things for tomorrow. AI news for humans, not robots. Stay curious, stay human. More: werchota.ai

    #5 - The Richest Industry With the Least Trust

  4. vor 3 Tagen

    #4 - The Money at the Top, the Mess at the Bottom

    One point six trillion dollars is what one fund manager thinks the world will spend on AI infrastructure next year. Twenty-five acres is how much of his crop a farmer destroyed after a chatbot told him which pesticide to use. Those two numbers are the same story told from opposite ends. 💸 02:28 — A trillion and a half, and nobody can locate the payback. Only fifteen of two hundred countries produce that much in a year — and the return is described in adjectives. 🤖 07:57 — Unitree's IPO was oversubscribed eight thousand times. Figure, America's champion, has shipped about a hundred and fifty robots. Thirteen million are forecast by 2035. ⚡ 12:05 — OpenAI announced it is building on a decommissioned uranium enrichment site — because the substations were already there. The bottleneck is no longer chips, it is the grid. 🪤 15:52 — Someone hid instructions for an AI inside a court filing. Not an argument for a judge — an instruction for a machine. And it is not hacking. 🌾 18:49 — A sixty-seven-year-old farmer followed the advice and lost the year. He did not misuse it. That was the intended use case. 🧬 22:09 — A gene-edited virus that killed a superbug. A hundred-year-old idea that finally works, because the search is now computational. 🐋 25:41 — We taught a machine to listen to whales — and someone asked the better question about which minds we actually take seriously. 🎯 28:34 — Three things for Monday. AI news for humans, not robots. Stay curious, stay human. More: werchota.ai

    #4 - The Money at the Top, the Mess at the Bottom

  5. vor 4 Tagen

    #3 - Thirty Claimed. Three Real.

    SAP says its AI makes you thirty percent more productive. Three percent of SAP's own customers have it running in production. That gap — between what gets claimed and what gets measured — is the whole episode. Today is not about whether AI works. It does. It is about the distance between the promise and the proof. 📊 02:07 — SAP and the three percent. Joule is now the front door to SAP — 40+ agents, 2,000+ skills. Gartner expects 40% of enterprise apps to include agents by year-end. SAP's own DACH user group went and asked the customers. 🇨🇳 05:56 — China writes Nvidia out of the room. A five-year, $295 billion plan for a domestic AI computing grid — and what it means when a market decides it does not need you. 🇫🇷 09:14 — Mistral. Around $400m in annual recurring revenue, the CEO expecting a billion within six months — and open-weight models you can download and run yourself. 🚆 13:00 — Deutsche Bahn runs an AI making 150 million predictions a day. And the trains are still late. Both things are true, and that is the interesting part. 📞 16:59 — Deutsche Telekom's CEO said in May that 95% of their code is written by AI. In July, an independent report put it at 10%. 🧬 19:11 — BioNTech, InstaDeep and a melanoma vaccine: an 18.1% response rate against a 10% historical control, in the hardest patient group there is. 🤖 22:34 — A German city put delivery robots on the pavement. Nobody crashed into one. Children asked for them by name. They switched it off. 🎯 25:28 — Three things for Monday. 🧠 27:14 — What all of it has in common. AI news for humans, not robots. Stay curious, stay human. More: werchota.ai

    #3 - Thirty Claimed. Three Real.

  6. vor 5 Tagen

    #2 - Follow the Money

    For three years this was a story about models — whose model is smartest. Today it is a story about money, factories, electricity and borders. The model got cheap. Everything underneath it got expensive. 🇨🇳 01:39 — Microsoft has quietly closed 15+ offices in China over five years and never announced it. China is ~1.5% of its revenue. Nobody bans you — they just make choosing you a career risk. 🏢 05:25 — Vantage Data Centers may go public at $100 billion. Warehouses. Plus Michael Burry’s claim that the industry is understating depreciation by $176bn — and the Richmond Fed’s answer. 🧠 10:00 — Anthropic in talks to buy Decart for ~$6bn. And the number underneath it: running a model got 99.7% cheaper in three years. ⚖️ 12:48 — Demis Hassabis spent his last weeks as DeepMind CEO lobbying for an independent AI referee — then stepped down. Is a referee proposed by the players a referee, or a shield? 🇮🇳 15:28 — India: a construction company just won $1.57bn to wire 10,000 Blackwell GPUs into one machine in Chennai. 💻 17:23 — Lenovo’s record $26.9bn quarter — and the reported net loss hiding inside it. 🚗 19:05 — Japan’s Turing wants a $10bn US listing, riding into America inside somebody else’s car. 🌊 21:12 — Data centres that float, powered by waves. An appealing idea — not yet a working technology. 💾 23:37 — The memory supercycle: DRAM up ~125% this year. If your product has a circuit board, your costs are going up. 📋 25:34 — Three things for Monday. AI news for humans, not robots. Stay curious, stay human. More: werchota.ai

    #2 - Follow the Money

  7. 14. Aug.

    #1 - Who Gets the Upside, Who Carries the Cost

    AI stopped being a promise and started sending invoices. Today you can see exactly who is being handed the bill. Nine stories, three questions underneath all of them: who gets the upside, who carries the cost, and who really gets a say. 🏦 01:24 — Anthropic’s $2 trillion IPO. That is every big carmaker on earth, combined. ⚡ 04:02 — Meta’s data centres: a $50,000 teacher bonus in Louisiana, and who really pays the power bill 🇨🇳 06:18 — Beijing blocks Meta’s Manus deal, and users get a date on which their files are deleted 💻 08:10 — Cognition and Devin at $40bn, three months after $26bn. Mercedes-Benz is a customer. 🏗️ 10:32 — CoreWeave, the landlord of AI: 1.85 gigawatts, or twice Munich’s annual electricity 👓 12:44 — The UK courts now take your smart glasses at the door 🤖 15:22 — $30-an-hour humanoid cleaners — and the human in VR goggles steering them 🎓 17:56 — Professors retiring early, with AI the last straw 📋 19:25 — Three things to do on Monday: portability, private spaces, and the bots in your meetings AI news for humans, not robots. Stay curious, stay human. More: werchota.ai

    #1 - Who Gets the Upside, Who Carries the Cost
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AI news for humans, not robots. Every weekday, Malcolm Werchota comes out of the cave and explains what actually happened in AI — in plain language, with the numbers checked and the hype taken out. Around ten stories a day: three explained slowly, the rest fast. No jargon. No breathless futurism. Just what happened, what it costs, and who gets handed the bill — explained the way you would explain it to a smart friend who does not work in tech. If you run a company, sit on a board, or simply want to understand the technology reshaping your industry, this is your daily 25 minutes. Keep the stories that touch your world. Stay curious, stay human.

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  • Erstellt von
    Malcolm Werchota
  • Jahre aktiv
    2026
  • Folgen
    7
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