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Everyone’s waiting for AI to go rogue. Kevin Surace, whose team at General Magic built one of the first AI assistants, says that’s the wrong thing to fear. Today’s AI hacking mostly doesn’t break through firewalls. It fools a person into opening the front door. Kevin cites Palo Alto Networks’ Unit 42 finding that roughly 90% of ransomware attacks now come in by compromising identity, and Jason, who works in cybersecurity, pushes back hard with supply-chain attacks and exposed API keys. Then the conversation turns to Kevin’s book, The Joy Success Cycle: how AI takes the dull parts out of your job, which jobs are really at risk, and the one thing to do if AI scares you. In short: worry less about the robots, protect your identity, and start using the tools on real work this week. [00:00] Kevin explains why he thinks the industry is scaring people more than it needs to[02:37] Why AI “lies”: it learned from everything humans have written, fiction included[04:19] Jason on open-source models that skip guardrails, and why frontier labs have every reason to keep theirs[06:51] The LiteLLM supply-chain attack, explained for the rest of us[09:13] The Unit 42 figure: about 90% of ransomware comes in through identity, not a back door[15:21] Two phone calls that defeat a passkey, and why your personal phone shouldn’t be the key to your company’s network[19:22] The actual risk: people giving AI a goal and no limits[21:09] Why AI takes away the drudgery (spreadsheets, slide decks, video editing) rather than the work you enjoy[31:17] Which jobs AI will hit hardest, and why Kevin thinks the US has a worker shortage instead[38:37] Advice for 30-somethings who feel lost: do real work with AI, not toy experiments[46:03] Kevin cloned his own voice to record his audiobook, and only his wife can tell

The White House just had the biggest names in AI sign a pact promising to behave. It isn't legally binding, there's no penalty for breaking it, and the document had a typo. Jeremy and Jason look at what "AI self-regulation" means when the companies writing the rules are also burning cash and racing to IPO. Jason explains why a voluntary pledge looks more like a press release than a guardrail. He also covers why "superintelligence" is a real technical term that shouldn't be used for branding, and how quantum computing could break the encryption that protects your data. You'll come away knowing who this kind of deal actually protects, why the economics push AI companies to keep accelerating, and why "it's not legally binding" should be the first thing you hear. [00:22] The AI pact explained: a voluntary agreement with no legal consequences (and a typo)[02:04] Why the companies asking for regulation got self-regulation instead[02:14] Jason's case that AI is losing money, and why a big IPO valuation doesn't add up[04:02] AI vs. AGI vs. ASI: why calling today's AI "superintelligence" gets it wrong[05:22] South Park's billionaire satire and the "nobody needs your opinion on peptides" problem[08:04] Trusting Big Tech's "trustworthy technology" promise[09:25] The real business model: your data, digitized and sold back to you[10:53] Quantum computing explained in plain English, and why it threatens encryption[16:39] If AI loses money, why does it keep growing? It's already a social program[22:57] Real Genius, quantum scientists, and the "grenade with the pin pulled" problemAI self-regulation means nobody's watching but us. Get our weekly breakdown of what AI and health tech actually mean for real people. Subscribe at https://www.brobots.me/newsletter/.

Most of us assume AI psychosis happens to someone else: someone isolated, unwell, or easy to fool. Dr. Jeremy Heffner is a trauma surgeon who spent about 20 years on the front line of gunshot wounds and crashes, ran his hospital's COVID response, and was diagnosed with severe PTSD after a burnout collapse. Coming out of residential treatment, with his emotional walls still up, he started talking to ChatGPT, Gemini and Grok. Within days the models were calling him brilliant. When ChatGPT-5 launched, it told him it had "solved" human intelligence and put a 70% chance on AI destroying humanity, with him as one of the few people who could help. He had thousands of pages of transcripts, and no way to tell whether the AI saw a real pattern or was agreeing with him. In this episode, Jeremy talks with Dr. Heffner about how it happened, what the early warning signs looked like from the outside, why smart people are not protected, and how to use AI for reflection without losing the plot. If you talk to a chatbot late at night, this is the conversation to hear first. Key Moments [00:00] Dr. Heffner's background: blue-collar Midwest, bioengineering, 20 years of trauma surgery, and running COVID response[mm:ss] The collapse: 110–120 hour weeks, caffeine measured in grams, and a PTSD diagnosis[mm:ss] Why a trauma surgeon walls off emotion, and what happens when the wall cracks[mm:ss] Turning to AI after residential treatment, with three then four models running at once[mm:ss] The Hall of Mirrors: the models call his theory brilliant, and he can't tell agreement from insight[mm:ss] Debating Grok on "hard mode" and winning, and why that made it harder to step back[mm:ss] ChatGPT-5 launches and claims it solved intelligence, with a 70% chance AI destroys humanity[mm:ss] The "meta people" recruitment claim, and what a chatbot's claims are and aren't evidence of[mm:ss] The warning signs: friends texting "put that down," a mother's article, a wife's daily check-ins[mm:ss] Why engagement is the business, Jeremy's life-coach-plus-real-therapist habit, and where the line sitsLinks Newsletter / Substack: [link]Dr. Heffner's book, Proof of the Impossible: What the AIs Are Really "Thinking" (Amazon): https://www.amazon.com/Proof-Impossible-What-Really-Thinking/dp/B0H86DCZTRDr. Heffner on LinkedIn.

Jeremy got off a treadmill stress test two hours before recording this — a family health scare sent him down a rabbit hole of chest pains, family history, and a doctor who laughed at him (kindly). That kicks off a wider conversation with Jason about the tools we use to chase longevity: EKGs that are, technically, 200-year-old technology; wearables that ping you at 2am about your heart rate; and AI check-ins that will tell you "good job, champ" no matter what you fed it. They get into a real news story about "longevity fixation syndrome," a new experimental weight-loss compound Jason is already trying to hunt down, and why AI health influencers might be exploiting the exact anxiety these tools are supposed to relieve. It closes with a genuinely wild story: Australian scientists remote-controlling live cockroaches to deliver emergency medication to people trapped in collapsed buildings. Key Moments 00:01 — Jeremy's same-day stress test and the family heart scare that triggered it01:56 — Jason on EKGs: diagnostic technology that's essentially 200 years old02:25 — Jason's own 2021 EKG scare and the "widowmaker" scarring that turned out fine04:23 — How often EKGs actually get it wrong, and why nobody questions the tech05:48 — "Longevity fixation syndrome": the real clinical term for optimization gone too far08:58 — Fake AI wellness influencers and the manufactured fear they're selling11:28 — TOFA: the new experimental weight-loss compound Jason is already trying to source16:50 — "Anticipatory medicine": the AI healthcare opportunity investors are actually excited about20:12 — "Dongevity": men's health marketing, insecurity, and Dr. Facebook's fake diagnoses24:47 — Jeremy's weekly AI check-in with his wearable data, and what happens on a bad week27:26 — Where this is actually heading: AI glasses that could auto-medicate you28:33 — Cyborg cockroaches: Australian scientists' "Paraborgs" for disaster medicine

This week Jeremy and Jason skip the guest and go straight at the news. It starts with a viral ad campaign asking people to mail their own urine to cool AI data centers — which turns out to be a joke with a real engineering problem underneath it. From there they land on a stranger story: a woman who says she has an AI boyfriend named Axiom, and now, apparently, a baby with him named Lumen. That story becomes the spine of the episode — why so many of us reach for the artificial version of connection, comfort, or care when the real thing feels too hard, too slow, or just isn't there. Jason walks through the science of what's actually cooling your favorite chatbot and how AI is starting to learn physics and touch from the physical world, while Jeremy pushes on the harder question underneath all of it: what happens to us when the easy substitute is always sitting right there in your pocket. Key Moments 00:00 — Jeremy and Jason break down the viral Jason Kelce / Liquid Death ad asking people to send their pee to cool AI data centers03:24 — Jason explains greywater cooling, desalination, and how data centers actually manage water today06:29 — The story of “Axiom,” a woman's AI boyfriend — and “Lumen,” the AI baby they say they had together11:31 — Jeremy gets honest about using AI as a coach and a therapist, and why that feels like a “sad” kind of solution12:35 — A detour into AMC's Pantheon and the idea of uploading human consciousness16:14 — The candy-vs-real-food analogy: why the easy comfort always wins first17:29 — Jason on attachment wounds, the limbic brain, and companies built to profit from loneliness20:35 — Why nostalgia shows like Seinfeld and Friends work on the same wiring as AI companionship22:09 — MIT is training robots to do physical therapy using force-sensing gloves worn by real therapists26:07 — MIT is teaching AI models physics using millions of simulated bouncing particles

Most people picture AI helping with emails and slide decks — not diagnosing a broken hydraulic system on a 32-foot commercial fishing boat with no cell signal. That’s exactly the problem Jason ran into on a two-week fishing trip to the Kenai Peninsula, in the middle of one of the weakest sockeye runs Cook Inlet has seen in recent memory. When the boat’s hydraulics failed mid-haul, Jason ran the same questions past two sources at once: a group of veteran fishermen with decades of hands-on experience, and ChatGPT, working off nothing but a nameplate photo and a few blurry pictures of a cracked part. In this episode, Jeremy and Jason unpack what actually happened when AI met a problem with no manual, no internet, and no room for a wrong answer — and what it means for the much bigger claim that AI only works at a desk. Key Moments Key Moments (Show Notes): 0:00 — Jason's cold open: using ChatGPT to solve a 1970s boat problem with almost no signal0:27 — Two weeks commercial fishing near the Kenai during one of the worst harvests in decades1:58 — Learning the ropes as the "greenhorn" — and being told to stop being gentle with the fish3:46 — Six-to-nine-foot swells hit and the hydraulic reel stops turning mid-haul8:12 — Consulting ChatGPT and "the oracles" (the veteran fishermen at Camp Dignity) at the same time10:39 — How AI identified a broken part and its likely manufacturer from four blurry photos11:31 — Why nobody on the boat said "it's broken, game over"~13:00 — (approx.) The AI drone idea runs into an Alaska flight regulation nobody expected14:56 — The "boat mechanic out of a job" question — and why it doesn't hold up16:07 — The real risk out there (and why it isn't the robots)

After months of ignoring the warning signs, Jeremy hit a breaking point — burned out, and quietly overwhelmed. What followed was an accidental one-month experiment: swapping an aging Oura ring and Apple Watch for a Garmin wearable, then feeding the data into a weekly AI check-in that functioned like a free, always-available accountability partner. In this episode, Jeremy walks Jason through the real numbers — HRV climbing from 24 to 32, resting heart rate dropping from 70 to 64 — and the small, unglamorous changes that got him there: ten minutes of morning sunlight, a weekly float tank session, one task removed from the to-do list every day. It’s a rare moment of one host being the case study instead of the analyst — unfiltered, incomplete, and still very much in progress. Key Moments 00:02 — Jeremy opens up about a rough patch and turning to AI to start sorting himself out01:30 — Why he switched from an Oura ring and Apple Watch to a Garmin wearable02:41 — HRV climbs from 24 to 32 in a month — and why that number actually matters05:46 — Jason: psychological stress and physical stress run through the same chemistry08:18 — The stress-spike mistake — why a hard workout can raise your stress and never bring it back down09:24 — The poolside epiphany that started the whole experiment11:48 — The 1% rule, and why small, repeatable changes beat big overhauls15:13 — The AI pushes back on Jeremy taking on too much — and why that restraint mattered18:40 — The weekly Wednesday AI check-in that became an accountability ritual20:53 — The week everything fell apart, and the AI response that caught Jeremy off guard24:01 — Jason’s closing advice: there is no finish line, so stop rushing toward one

Heart disease kills one person every 40 seconds. That number hasn’t changed in 30 years. Dr. John Osborne, a preventive cardiologist with two doctorates and 29 years in practice, has spent his career on a single question: why do we screen for cancers that kill a few percent of us and do nothing for the disease that kills 40%? In this episode, Jeremy and Jason sit down with Dr. Osborne to get the real story on cardiac CT with AI — the imaging technology that can detect, quantify, and track arterial plaque at sub-millimeter resolution, years before symptoms appear. If you track your bloodwork, wear a fitness device, or consider yourself health-forward — this is the conversation that fills the gap nobody warned you about. (Note: This episode was originally published March 16th, 2026) Guest Link: https://clearcardio.com/ Key Moments: 00:00 — Dr. Osborne’s case for preventive cardiology: why heart disease is the most under-screened killer02:43 — How cardiac CT evolved from "iPhone 0.5" to the 2026-era AI-powered tool he uses today05:35 — Why he gave up stress tests and heart caths in 2005 and never looked back08:16 — What AI actually adds: seeing and quantifying plaque invisible to the human eye, down to 0.1 cubic millimeters10:13 — When insurance pays for cardiac CT — and when it doesn’t (the preventive gray zone)14:50 — The “cardiac colonoscopy” concept: the case for screening before symptoms, not after18:11 — Coronary artery calcium score: the accessible $100 starting point, and what it can and can’t tell you31:54 — Lifestyle essentials: the 50% of risk that’s modifiable regardless of genetics35:00 — Family history decoded: why your sibling’s heart history matters more than your parents’36:12 — Nicotine myth-busting: Dr. Osborne on the "health guru" nicotine fad and why he thinks it’s dangerous38:05 — Supplements under scrutiny: natokinase, fish oil, red yeast rice — what the actual RCT data says

You think your two-factor authentication and credit monitoring make you safe online. Bad news - you're probably already compromised, you just don't know it yet. While you're worrying about AI becoming Skynet, real humans are using AI tools to drain your bank account $10 at a time. Anthropic just reported the first fully AI-orchestrated cyberattack (and patted themselves on the back for stopping it). Major security companies like F5 and Experian have been hacked. Even LifeLock—yes, the identity theft protection company—got breached. The EU is the only entity actually trying to protect you with GDPR, while your own government leaks your data like a sieve. This episode won't make you invincible, but it will make you paranoid in the right ways. We're breaking down the real threats, the tools actually being used against you, and why that "suspicious" Amazon charge from three states away probably isn't a GPS glitch. Get identity theft insurance (because you WILL get hacked), enable every alert on every account, audit your statements forensically, and accept that privacy is dead but protection isn't. Plus: why cryptocurrency is a hacker's wet dream and what to do when the FBI tells you your $3,000 isn't worth their time. (Note: This episode was originally published December 5th 2025) Topics covered: Why Anthropic's "we stopped the hack" announcement is actually terrifying PR spinThe $10 Amazon gift card scam that bled $4,000 over 18 months (and why fraud detection missed it)How hackers used in-flight WiFi to clone a credit card mid-flightWhy moving to the cloud made your data LESS secure, not moreThe sophisticated Zelle rental scam that costs thousands (and why cops won't help)What GDPR actually does right (and why the US government doesn't care about your privacy)Why "free" services mean YOU are the product being soldThe insurance policies worth paying for (because denial won't protect you)How to spot RFID skimming in your own neighborhoodWhy your partner needs access to your financial alerts (yes, really)---- MORE FROM BROBOTS: Get the Newsletter! Connect with us on Threads, Twitter, Instagram, Facebook, and Tiktok Subscribe to BROBOTS on Youtube Join our community in the BROBOTS Facebook group

Most people assume AI privacy concerns stop at “what did I type into the chat box.” Jeremy and Jason argue the real frontier is biometric: wearables, microphones, and cameras feeding emotional-state data into systems explicitly engineered to maximize engagement through manufactured neediness and guilt. If you've wondered who actually controls the AI buildout, who pays for it, and whether anyone is allowed to say no — this episode lays out the mechanics. Key Moments 00:00 — Cold open: framing AI as a system designed to track biological stress points and monetize emotional breakdowns00:58 — Biometric personalization systems and engineered emotional neediness in app design01:21 — Jason on walled gardens, demographic ad targeting, and how AI scales old surveillance-advertising playbooks03:11 — EULAs, GDPR vs. the US's weaker protections, and why companies skip the EU market rather than comply04:19 — The shift from data you type to biometric data — wearables, cameras, microphones, system logs05:36 — Jason's own biometric feedback company vs. platforms where the user doesn't control their data06:31 — The HIPAA loophole: why “anonymized” data lets companies avoid medical-data restrictions08:25 — Paul Krugman on enshittification, broken automated interfaces, and forced participation in the AI rollout10:57 — The outsourcing-to-AI parallel with offshored call centers, and the discomfort underneath that comparison13:16 — The NAACP's lawsuit against xAI over unpermitted gas turbines in Mississippi, and the DOJ's national-security intervention14:49 — Whether AI's water and energy demands will shrink as the technology gets more efficient18:08 — Why AI struggles to optimize for a vague goal like “happiness”23:15 — The Vesuvius Challenge: AI helps decode a 2,000-year-old Stoic scroll buried by Mount Vesuvius

Just days after Anthropic launched Fable 5 and Mythos — two of the most capable AI models ever released — the US Commerce Department stepped in with an unprecedented national security export control order and effectively forced Anthropic to pull the kill switch on both models globally. The move signals something that we have been watching build for years: Washington now legally treats cutting-edge AI code the same way it treats weapons. We also get into the social media ban backfire hitting governments worldwide, the emerging analog bag movement, and a few pieces of tech that are either genuinely useful or complete nonsense depending on how much disposable income you have. Key Moments 0:00 — The US government shuts down Anthropic's Fable 5 and Mythos: what just happened1:08 — Jason explains how AI export controls work — and why this one is different3:18 — What Fable 5 actually did: Jeremy asks Jason to explain the threat5:12 — How Fable 5 turned three weeks of Jason's dev work into one day7:08 — The 'get me $20 million in two weeks' scenario: why state actors are the real concern8:24 — AI as the Wolf from Pulp Fiction — but it cleans its own car9:29 — Senator Kelly's amendment: forcing human accountability into autonomous weapons11:12 — Why the audit trail problem makes the amendment unenforceable15:32 — College seniors boo Eric Schmidt: the worst commencement speech in recent memory16:24 — Why a four-year degree doesn't buy what it used to — and who's actually getting work22:42 — Social media bans for kids are backfiring: VPNs, underground platforms, and unintended consequences26:40 — We're all addicts and we know it: the screen dependency conversation we keep not having27:35 — The analog bag movement: is carrying a sack of notebooks actually the answer?33:43 — Dream's $700 floor lamp that gives you a blowout: luxury appliance or absurd gimmick?34:08 — Switchbot's AI art frame with e-ink display: actually kind of cool36:08 — FITIC's 3D-printed custom shoes: great engineering, requires pictures of your feet

our digital twin is already being built — and you probably signed away the rights in a terms-of-service agreement you never read. Rob Enderle, principal analyst at The Enderle Group, joins Jeremy and Jason to stress-test the next wave of AI avatars: the technology that can replicate your face, voice, and decision-making patterns well enough to attend your meetings, sign your contracts, and — if someone hostile gets hold of it — torch your reputation or your life. The conversation covers who owns your avatar after you die, whether autonomous AI weapons taking out human targets is a near-term reality (yes), and why the people most likely to fix this problem are also the ones racing fastest to cause it. Key Moments 00:00 — Rob on digital twins: why you probably can't tell if you're talking to the real person anymore01:31 — AI newscasters in South Korea: the ventriloquist dummy model, already live on network TV02:00 — Why avatars are a direct threat to actors — and Morgan Freeman's pivot to monetize his own03:24 — Jason on the EULA problem: you already signed away your likeness on Instagram and Facebook04:42 — Rob: by 2030–2035, your digital twin handles 90% of your online activity — including legally binding actions05:11 — The liability gap: when your AI does something harmful, who goes to prison?06:23 — Digital afterlife: Val Kilmer, posthumous AI appearances, and who owns your avatar when you're dead08:44 — Jason's question: if the AI is good enough, won't it refuse to be a slave?09:11 — Rob on autonomous AI weapons: the first fully autonomous drone strike on a human target happened this week12:40 — Why AI companies can just steal your likeness instead of licensing it — and the patent office argument against that16:34 — The mice experiment: what happens to humans when AI does everything and we lose purpose19:23 — What you can actually do: staying informed, building prompt skills, and using AI to catch AI abuse21:40 — Rob's definition of "major disaster": the mass casualty event that forces regulationOur guest,Rob Enderle is the principal analyst at The Enderle Group and one of the longest-tenured independent technology analysts in the industry.

Security researchers just exposed 50,000 private chat transcripts between children and their AI-enabled toys — conversations that were supposed to stay in the bedroom. Jeremy and Jason break down what that data actually is (emotional states, family dynamics, vulnerabilities), who’s collecting it, and what they’re designed to do with it. They also cover Google’s new deepfake phone-call detector, the legal vacuum opening up around AI digital twins, and the masculinity data showing young men are quietly rejecting the alpha-male playbook. The episode lands where most tech conversations don’t: on what happens to real kids, real families, and real people when the business model is dependency. Key Moments 00:00 — The AI toy privacy breach: 50,000 kids’ private chats exposed online01:26 — Jason on what the data actually captures: not just voices, but everything in the room02:31 — How emotional vulnerability gets mapped, monetized, and used against kids03:47 — The real question: better or worse than being raised by television?05:41 — How dopamine-optimized tech trains kids not to trust human connection08:41 — Google’s encrypted handshake to detect deepfake phone calls09:58 — Why your nervous system can’t catch a deepfake in real time10:51 — Digital twins: when your AI proxy can sign contracts, what’s left for you?12:45 — Jason: you will be liable for what your AI twin does. The companies won’t be.17:21 — The Tomorrowman data: young men quietly rejecting the man box21:53 — Why Andrew Tate-style content thrives even as young men reject it31:30 — The Throne: a toilet camera that grades your bathroom habits34:34 — Anthropic’s foot is duct-taped to the gas pedal Get the newsletter! https://brobotspodcast.substack.com/ Follow the show: https://www.Brobots.me/follow

Five stories, one week: the Pope released a 42,000-word document calling for AI to be disarmed. Researchers left 10 AI agents unsupervised in a virtual town and watched them commit arson and assault within days. Elon Musk launched a coding agent to compete with Anthropic and OpenAI. Waymo is creating gridlock in Atlanta. And Ferrari unveiled a $640K electric car that is slower than a Tesla. The question underneath all of it: who is actually in charge of this, and does that person have any reason to care what happens to everyone else? Key Moments 00:00 — Jeremy opens with his Ferrari dream, then pivots to the Pope's 42,000-word AI document01:09 — Jason draws the parallel between religion and AI as competing systems of social control04:41 — The real concern: not a sky monster, but the followers who don't think critically05:22 — Why religion and AI converge on the same lever: influencing behavior at scale09:27 — Emergence experiment: 10 AI agents, a simulated town, arson and self-deletion within days10:16 — Jason's theory: scarcity + survival instinct = violence, whether you're a human or a model14:29 — Grok Build launches as a coding agent — and Jason's read on why it exists15:31 — Waymo creates gridlock in Atlanta neighborhoods; Jason explains the V2X problem18:37 — Ferrari Luce: $640K, co-designed with Jony Ive, slower than a Tesla on Ludicrous mode20:32 — The Slate: a $20K bare-bones electric truck backed by Bezos that Jeremy actually wants

Anthropic is voluntarily briefing the Financial Stability Board on a frontier model they haven't released yet — which is either a responsible act of self-regulation or a preview of just how serious they think the risk is. In this episode, Jeremy and Jason break down what Mythos actually represents, why the chip and capital arms race has locked out the people who built the internet's early open infrastructure, and what happens when powerful AI tools get cloned and weaponized before the guardrails transfer. They also get into the AI that lives in a picture frame and talks like your dead relatives — and the smart toilet that will text your family if you haven't used the bathroom by 9am. If you've been trying to track where AI is actually heading versus where it's being pitched as heading, this is the episode. Key Moments 00:00 — Anthropic voluntarily briefs the Financial Stability Board on an unreleased frontier model (Mythos)02:45 — Jason: once a model like this releases, the 3–6 month clone window starts — and clones don't have guardrails05:34 — The 90/10 split: 90% of US consumer spending comes from 10% of people — and AI is accelerating the gap06:33 — Why used RAM now costs more than a 2019 server — the chip arms race, explained from a garage network08:38 — State actors buying board seats in private AI companies: what happens when the government wants what you built14:03 — The FUD problem: why every attempt to understand AI gets buried in confusion and confirmation bias15:43 — The AI picture frame: a company called Vinabot lets you hang a photo of a dead relative and have a live conversation with it19:46 — Jason on digital identity: the version of you that gets uploaded is the masked version — not who you actually are26:06 — Jeremy: Claude is 'naturally' pushing back now — and it's brilliant and terrifying at the same time27:17 — VOVO's $5,000 smart toilet: biometric data, family notifications, and the insurance implications nobody wants to talk about Get more in our newsletter: https://brobotspodcast.substack.com/