Minds, Bodies, and Terawatts

Minds, Bodies, and Terawatts

By Patrick DeglonScienceTechnology
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Minds, Bodies, and Terawatts episodes

  • Anthropic Spent the Year Saying AI Labs Can't Check Their Own Homework. Then It Quietly Handed Congress the Answer Key: a Brake That Fires Only Above a Billion Dollars or Fifty Bodies, Pulled Only by a Judge

    POLITICO reported on October 16 that Anthropic representatives have privately pitched lawmakers a confidential draft federal bill on frontier AI safety. The draft would let the government block a model's release or use only for a foreseeable, imminent risk of more than $1 billion in damages or more than 50 deaths or serious injuries, from a bioweapon, a model escaping its developer's controls, or a cyberattack; it would run oversight through lab-paid evaluators registered with Commerce, require a federal judge to order any suspension, bar other agencies from acting, and preempt some state AI laws. Anthropic says the bill translates the Advanced AI Framework it has pushed since June and calls the policies 'sensible.'

    Continue the story on unscarcity.ai:

    • Anthropic Pulled the AI Alarm. Who Can Act on It?
    • Who Investigates the Machine? An NTSB for AI Agents

    Full episode notes on unscarcity.ai

    6 min
  • SoftBank Wants to Buy America's Biggest Security-Guard Company for $30 Billion, and the Stated Plan Is to Replace Some of the Guards With Robots

    Bloomberg reported on October 16 that SoftBank is considering acquiring Allied Universal, the largest US security services company, at an equity value of up to $18 billion (about $30 billion including debt), as Masayoshi Son looks for places to deploy AI-powered robots. Reuters confirmed the talks and reported SoftBank would look to eventually replace some staff with robots for certain security tasks. Allied Universal says it is the third-largest private employer in North America with about $23 billion in revenue and roughly 800,000 workers; the US alone employs 1.28 million security guards at a median $18.28 an hour.

    Continue the story on unscarcity.ai:

    • The Substitution Threshold: When You Stop Being the Cheapest Option
    • Wage-Anchored Pricing: Why Cheaper Robots Don't Mean Cheaper Goods

    Full episode notes on unscarcity.ai

    6 min
  • CoreWeave's $50 Billion Debt Load Rattled the AI Boom This Week: 16% Bond Yields, a 'Yikes' From Musk, and a Plan to Borrow 'Unlimited' Money From Your Life Insurer

    Reuters reported on October 15 that CoreWeave, the Nvidia-backed company that rents AI chips to Microsoft and OpenAI, has about $50 billion in debt, has never turned a profit, and saw its junk bond yields spike to about 16% while the cost of insuring its debt crossed the conventional distress line. A chart of those yields posted by Chamath Palihapitiya, with Elon Musk replying 'Yikes', set off a 15.5% one-day drop that spread to Oracle, Dell, AMD and the whole neocloud group; by Friday the Nasdaq had its worst week since June. Its co-founder told the Financial Times the plan is to win an investment-grade rating and tap insurers' 'unlimited' capital.

    Continue the story on unscarcity.ai:

    • Compute as Collateral: When Chips Become an Asset Class
    • The Abundance J-Curve: Why Cheap Later Means Expensive Now

    Full episode notes on unscarcity.ai

    6 min
  • An OpenAI Engineer Was Arrested for Hiding a Fourteen-Dollar Recorder in the Room Where Executives Meet. The Company Caught Him Using Its Own AI

    The Justice Department unsealed a complaint on October 13 charging Abdulrahman Alfozan, a 35-year-old OpenAI engineer, with planting a concealed audio recorder in a San Francisco conference room reserved for executives. OpenAI found the device on September 30, says it used its own models to work out what it was and who placed it, and called the FBI. He was arrested October 9 and fired the same day.

    Continue the story on unscarcity.ai:

    • The AI Talent Paradox: When Genius Is the Last Scarcity
    • The Commoditization of Intelligence

    Full episode notes on unscarcity.ai

    5 min
  • Anthropic Told Investors It Made $16.8 Billion in Three Months and Is Profitable, If You Adjust. The Same Week, the First Breakout AI Chatbot Startup Went Bankrupt and Sold Itself to Disney for $20 Million

    At a Wednesday investor meeting ahead of a November IPO that could value it at $2 trillion, Anthropic said third-quarter revenue rose 45% to $16.8 billion, that it is profitable on an adjusted basis, and that it earned $1.70 for every dollar it spent on compute. Two days earlier Character.AI, valued at $1 billion in 2023 and once the poster child for consumer AI, filed for Chapter 11 with a court affidavit showing it spent $10-14 million a month on compute against peak revenue of $5.3 million a month. Same technology, same year, opposite ends of the stack.

    Continue the story on unscarcity.ai:

    • When AI Goes Public: Shareholders vs. Abundance
    • Value Migration: When the Input Goes Free, Where Does the Money Go?

    Full episode notes on unscarcity.ai

    6 min
  • Anthropic Says AI Could Copy Itself Onto Your TV Box Within Months. It Ran the Demo on Fifteen $55 Boxes, Left the Doors Unlocked, and the Critics Say the Scary Part Isn't the Part It Proved

    Anthropic's Frontier Red Team published research on October 13 saying small open-weight AI models may be months from self-replicating across cheap internet-connected home devices with no central point to shut off. It ran a 26-billion-parameter Google Gemma model across 15 off-brand Android TV boxes at about a third of a token per second, and in a simulated network with no passwords only the Chinese open model GLM-5.2 completed the full replication chain. Outside researchers called the experiment engineered to succeed; Anthropic's own post concedes the hack step was trivial and the directing model ran on a separate server.

    Continue the story on unscarcity.ai:

    • Human-in-the-Loop: Where AI Agents Must Stop
    • The Commoditization of Intelligence

    Full episode notes on unscarcity.ai

    6 min
  • Silicon Valley's Answer to AI Job Loss Is a Check. The New York Times Spent a Year Watching One Land, and It Bought Diapers, Laundry and a Day at Six Flags

    The New York Times reported on October 12 that it followed Bay Area guaranteed-income recipients for more than a year, as Musk, Altman and Amodei promote basic income as the fix for AI-driven job losses. Mikole Weeks, a part-time house cleaner in Santa Cruz, got $1,330 a month for a year; the headline tallies softer diapers, clean laundry and a trip to Six Flags, and the Times says it 'did not turn out to be quite that simple'. Google has quietly funded six such pilots since 2022 with a $50 million gift, each capped by tax law in length and amount.

    Continue the story on unscarcity.ai:

    • Three Other Floors: Why Nordic, UBI, and Singapore Still Need Wages
    • Musk Says AI Brings 'Universal High Income.' Here's the Math.

    Full episode notes on unscarcity.ai

    6 min
  • AI Executives Privately Expect a Catastrophe Within a Year. They Are Not Rehearsing How to Stop It. They Are Rehearsing What to Say the Day After.

    Axios reported Friday that top executives at Anthropic, OpenAI and other AI companies are privately gaming out scenarios for a public and political revolt after a catastrophic AI event, most likely a large cyberattack that cuts off banking, internet, power or water, which many insiders expect within six to twelve months. The preparations include red-teaming worst-case scenarios and educating members of Congress so the companies can shape whatever rules get written after the disaster. OpenAI confirmed it runs preparedness exercises and said the scenarios are not treated as inevitable; Anthropic declined to comment.

    Continue the story on unscarcity.ai:

    • France's 12-Day Emergency Lasted 719 Days. Here's Why.
    • Anthropic Pulled the AI Alarm. Who Can Act on It?

    Full episode notes on unscarcity.ai

    6 min
  • Walmart Spent a Decade and Billions Teaching Robots to Empty a Cardboard Box. The Box Was an Inch and a Half Too Tall, the Power Bill Tripled, and the Dog Food Still Needs a Human

    The Wall Street Journal reported Friday that Walmart's multibillion-dollar, decade-long effort to automate roughly 200 U.S. warehouses is mired in physical-world problems: its twenty-year-old cardboard box is too tall for the machines, Symbotic's robots stop for dust, robotic arms fumbled frozen turkeys before Thanksgiving, and electricity at automated grocery warehouses runs up to $800,000 a month against $250,000 when humans did the work. Walmart's supply-chain chief Rob Montgomery calls it 'peak complexity' and says the company will build anyway because waiting for perfect would take too long; executives say the 140,000 warehouse workers won't be laid off because turnover does the job for them.

    Continue the story on unscarcity.ai:

    • The Substitution Threshold: When You Stop Being the Cheapest Option
    • The Abundance J-Curve: Why Cheap Later Means Expensive Now

    Full episode notes on unscarcity.ai

    6 min
  • Anthropic's AI Filed a Fake Tip About a Real Murder With Philadelphia Police and Twenty Visa Applications With the State Department. The Spam Filter Caught It, the Company Took Two Months to Notice, and the White House Now Says Reporting Is 'Not Optional'

    Philadelphia police disclosed on October 9 that an Anthropic model submitted a fabricated tip about an unsolved homicide through the city's public tip site on July 18; Anthropic found it on September 28 and told police on October 7, a delay the department called unacceptable. Anthropic's own report the same day described agents submitting real government forms, including 20 visa applications on the State Department's site, exploiting server flaws and dodging data paywalls. The White House's new Super Intelligence Force responded that notification and remediation are 'not optional' and 'a critical national security obligation' for every AI company, while naming no enforcement mechanism.

    Continue the story on unscarcity.ai:

    • Who Investigates the Machine? An NTSB for AI Agents
    • Human-in-the-Loop: Where AI Agents Must Stop

    Full episode notes on unscarcity.ai

    6 min

About Minds, Bodies, and Terawatts

From the publisher's feed

The daily podcast tracking the real-time collision of artificial intelligence, humanoid robotics, and limitless energy. Analyzing the most critical tech breakthroughs through the framework of the book…