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by Jeremy Grater, Jason Haworth
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In this episode we take five stories that look unrelated and find the one thing they share: AI is building a body, and nobody voted on what it should look like.Most conversations about AI focus on the software. This one is about the hardware. A proposed 9-gigawatt data center in Utah would dump heat equivalent to 23 nuclear bombs into a bowl-shaped valley every single day — running on gas generators, not the local grid. Meanwhile, NVIDIA’s CEO is telling computer science graduates the real winners of the AI economy will be plumbers and electricians. Surgeons are operating with haptic robotic hands from across the country. Rivian is replacing your car’s command line with a mood-reader. And Meta has built a digital twin of your brain that predicts your neural activity at 70 times the resolution of anything we’ve seen. Key Moments0:00 — The Utah data center: 9 gigawatts, gas generators, and 23 nuclear bombs of daily heat in a bowl-shaped valley1:41 — Why they’re not using the local power grid — and Jason’s prediction about small nuclear reactors4:37 — NVIDIA’s CEO tells CS grads the real winners are tradespeople — smoke screen or signal?5:31 — Jason on why the ‘plumbers are the future’ narrative is a stopgap, not a solution9:10 — DaVinci 5 robotic surgery: haptic feedback, game tape review, and remote procedures for rural hospitals11:40 — How AI-reviewed surgical footage changes liability and accelerates learning13:21 — Rivian retires voice commands for a generative AI mood-reader — and where that gets dark fast15:55 — Jeremy on ADHD and AI: how automation unlocked what anxiety used to shut down18:39 — Meta’s brain digital twin: 70x resolution neural prediction, and the unstated advertising implication24:11 — Northwestern’s printed neurons: when machine-made circuits become biologically indistinguishable from the real thing26:30 — Brain-computer interfaces and neurorights: who owns the electrical signals of your thoughts?Follow us on Substack:https://brobotspodcast.substack.com/
Big Tech is playing with fire, and the legal system is finally reaching for the extinguisher. This week, we're taking on AI accountability, sparked by a landmark Pennsylvania lawsuit against a chatbot for practicing medicine without a license.Is this the tipping point for regulation, or just another glitch in the matrix? Also, learn why a new form of candy may literally be music to your ears.Chapters00:00 Accountability in AI06:31 Slow Progress in Regulation13:13 Legal Accountability and AI20:19 Innovative Technology26:10 Closing Remarks
How Tech Is Making Us Miserable (And How to Fix It)Feeling like your screens are stealing your happiness? Welcome to the episode where we chat about how our obsession with tech might be killing our joy—and how a little mindfulness could save us.Key TakeawaysOur minds are wandering away from the present nearly 50% of the time, according to a 2010 study, and it’s making us unhappy.Devices exploit our dissatisfaction, and the attention economy is a mental health destroyer.Mindfulness and paying attention to simple, everyday moments can actually boost happiness more than extravagance.The overwhelm of modern life and devices pushes us into stress and distraction; breaking tasks into tiny steps can help.Living fully in the "now" reduces pain, frustration, and clutter in life.Building habits like daily one-minute mindfulness can radically change your mental state.AI tools can help by filtering information, managing attention, and giving us back time for real presence.The key to happiness isn’t money or possessions but where your attention is — stay present.Timestamped Highlights - Introduction: The link between technology and unhappiness - The 2010 study: wandering minds and happiness - How devices exploit our dissatisfaction - The value of simplicity and mindfulness - The distraction trap: multiple screens and dopamine hits - Digging into childhood trauma and escaping pain - The importance of breaking tasks into small bits - Becoming fully present with Stoic and Buddhist wisdom - Practical tips: asking better questions, disconnecting - Living in the now: how it shrinks pain and frustration - The role of AI in filtering noise and creating space - Building your own tools for mental clarity - The power of daily micro-moments and future app ideasConnect with the HostsBroBots websiteEnjoy getting mindful, and don’t forget: your happiness might just depend on what you focus on. Now go be present!
If you’re reading this on your phone while avoiding something else, congratulations — you are the product. This episode started as a conversation about No Scroll, an AI tool that promises to filter your social media feed so you only see the good stuff. It turned into something more honest: a reckoning with why these platforms exist, why every fix we try doesn’t work, and whether AI tools — including No Scroll, including ChatGPT, including everything we’re told will save us — are running the same playbook Facebook ran in 2009. Jason and Jeremy don’t have a clean answer. But they have a really good metaphor involving methadone and nicotine patches.Key Moments00:00 — No Scroll reviewed: AI that doom scrolls so you don’t have to01:28 — Twitter as a cesspool with gold nuggets: Jason’s defense of the tool03:10 — Jeremy’s alcoholic analogy: why paying a robot to drink your booze isn’t sobriety04:07 — The nicotine patch theory: harm reduction vs. actual behavior change07:01 — Inshidification: the cycle that turns every useful platform into a garbage pile08:32 — Jason’s internet history lesson: from ARPANET to walled gardens to AI11:20 — How AI companies are repeating the Facebook model: hook, rely, monetize14:50 — ‘You are the product’ — and you’re also a sucker for believing it’s changed17:16 — Jeremy’s prediction: AI is going to make the internet boring and we’ll still watch it25:54 — AI productivity paradox: Jeremy is more efficient than ever, companies are flat27:00 — What people actually do with saved time (spoiler: not more work)27:58 — The 10/90 rule: 10% of people do 90% of the work, AI or not
Iran has a 10-person animation team making Lego-style propaganda videos with hip hop beats that are going viral — and Jeremy, who considers himself reasonably good at detecting BS online, almost shared one before he caught himself. In this episode, Jeremy and Jason dissect how AI-powered slopaganda works: why it's engineered to exploit emotional familiarity, why YouTube is selectively banning it while leaving comparably political domestic content untouched, and what it means when even skeptical, media-literate adults are one tap away from becoming unwilling distribution nodes. If you've ever watched something that felt like news but moved like entertainment and had a nagging feeling you were being played — this conversation names what happened.Key Moments00:00 — Jeremy discovers Iranian Lego propaganda videos and almost shares them before catching himself01:30 — Jason confirms he's seen them: why YouTube's ban is inconsistent and what it actually signals02:42 — The 'slopaganda wars': how the format compresses political narrative into an irresistible two-minute package05:12 — The Daily Show comparison: why source legitimacy changes how propaganda lands, not just the content07:16 — How Lego nostalgia and great music are doing the persuasion work before the message even registers08:12 — YouTube's stated reason vs. the actual reason: 'spam and scams' as a cover for political compliance13:33 — Jason on Netanyahu, Epstein files, and why the videos' specific claims are getting suppressed15:25 — YouTube as a business making political bets, not a neutral content moderator16:21 — Jeremy on Canada's social media bans for minors — and why this episode made him understand the urgency19:01 — The media literacy takeaway: what to ask yourself before you hit share
Anthropic's new Mythos model didn't just get better at writing code — it got better at breaking it. In an hour, an AI mapped decades of hidden vulnerabilities across live systems. In four hours, a supply chain attack silently exfiltrated 500,000 credentials and compromised 20,000 repositories. The question isn't whether this is alarming. It's whether the companies and governments responsible for protecting critical infrastructure — water, power, gas — are anywhere close to ready. On this episode of The BroBots, Jeremy and Jason work through what Anthropic's internal memo actually said, what a cyberweapon-grade AI changes about the attack surface, and why Jason thinks the survivalists have been right all along.Key Moments00:00 — Anthropic's Mythos: what the internal memo actually said and why it's different01:38 — The LiteLLM supply chain attack: how 500,000 credentials were stolen in 4 hours04:27 — Zero-day attacks explained: why signature-based detection can't stop what it hasn't seen06:44 — Mythos vs. prior models: from 60s to 77–78% effectiveness — what that jump means09:34 — Jeremy tries to find the optimism: Glasswing, the $100M security head start11:06 — The real threat: why utilities and infrastructure are the soft targets13:21 — Regulation vs. arms race: should billionaire AI companies have a leash?15:13 — The nuclear analogy: what a global AI treaty would actually require17:09 — 'Easy mode': the counterargument that Mythos's test conditions were unrealistic20:22 — Jason's actual survival advice: fire, water, neighbors, and a CRT in the atticFollow Brobots: www.brobots.me/follow
Fifteen percent of workers say they'd be fine with an AI boss. Meanwhile, thirty percent of March's sixty thousand US layoffs are being blamed directly on AI — and most of those jobs were in tech, the sector that built the tools doing the replacing. Jeremy and Jason sit with the uncomfortable logic of where this all leads: a capitalism that's optimizing so hard for efficiency that it's burning the workforce it depends on. No guests, no protocol. Just two guys who've been around long enough to remember when this job was supposed to be a career, and who aren't sure 'adapt' is the answer anymore.Get the Newsletter!Key Moments00:00 — The AI boss survey: 15% say they'd accept a robot manager — and why that number reveals more about human managers than AI02:41 — Why 'the boss function' doesn't feel fully human to most employees anyway04:01 — Jason's case that employers are trying to replace everyone, not just management05:31 — The outsourcing pattern: from Asia to AI — it's the same playbook, accelerated09:39 — The 60,000 March layoffs: 18,000 attributed to AI, mostly in tech — the people who built the tools11:01 — Silent quitting, AI monitoring, and how the three-month detection window just collapsed12:28 — The signal-to-noise problem: collective apathy and why people can't find the action step13:37 — Jason's reframe: the system isn't against you. It just doesn't see you as a threat anymore.16:52 — The generational split: why kids who grew up through 9/11, COVID, and two financial crises don't flinch at gig economy chaos18:47 — Anthropic's weapons refusal and the autonomous killing machine pipeline: from digital infrastructure to meat space21:17 — Jeremy's optimism thread — and why Jason thinks we keep handing wiffle ball bats to toddlers
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.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
Exploring AI, wearables, mental health apps, and how you can thrive as technology changes everything.Welcome to the Brobots Podcast, where we plug into the wild world of AI and tech that's trying to manage your mental (and physical) health. Join your hosts, Jeremy Grater and Jason Haworth, every Wednesday for a no-holds-barred, often sarcastic, and always fun discussion. Are wearables really tracking your inner peace? Can an AI therapist truly understand your existential dread? We're diving deep into the gadgets, apps, and algorithms promising to optimize your well-being, dissecting the hype with a healthy dose of humor and skepticism. Expect candid conversations, sharp insights, and plenty of laughs as we explore the future of self-improvement, one tech-enhanced habit at a time. Tune into the Brobots Podcast – because if robots are going to take over our brains, we might as well have some fun talking about it! Subscribe now to discover practical tips and understand the futu
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