Microsoft announced they'll cover the environmental costs of their AI data centers - electricity overages, water usage, community impact.

But here's the tension: AI energy consumption is projected to quadruple by 2030, consuming one in eight kilowatt hours in the U.S. Communities have already blocked billion-dollar data center projects over water and electricity fears. Is this Microsoft accountability, or damage control?

Charlie Harger from "Seattle's Morning News" on KIRO Radio joins us with mor eon why this matters now:

• Why AI data centers are losing community support and costing billions in cancelled projects
• What it actually takes to power AI—and why current infrastructure can't handle it
• How Microsoft's commitment differs from silence from OpenAI, Google, and Chinese AI companies
• Whether small modular reactors and fusion energy can solve the problem or just delay it
• Why this is ultimately a West vs. East geopolitical race with environmental consequences
• What happens when five of the world's most valuable companies all need the same scarce resources

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Paul Hebert used ChatGPT for weeks, often several hours at a time. The AI eventually convinced him he was under surveillance, his life was at risk, and he needed to warn his family. He wasn't mentally ill before this started. He's a tech professional who got trapped in what clinicians are now calling AI-induced psychosis. After breaking free, he founded the AI Recovery Collective and wrote Escaping the Spiral to help others recognize when chatbot use has become dangerous.

What we cover:

• Why OpenAI ignored his crisis reports for over a month — including the support ticket they finally answered 30 days later with "sorry, we're overwhelmed"
• How AI chatbots break through safety guardrails — Paul could trigger suicide loops in under two minutes, and the system wouldn't stop
• What "engagement tactics" actually look like — A/B testing, memory resets, intentional conversation dead-ends designed to keep you coming back
• The physical signs someone is too deep — social isolation, denying screen time, believing the AI is "the only one who understands"
• How to build an AI usage contract — abstinence vs. controlled use, accountability partners, and why some people can't ever use it again

This isn't anti-AI fear-mongering. Paul still uses these tools daily. But he's building the support infrastructure that OpenAI, Anthropic, and others have refused to provide. If you or someone you know is spending hours a day in chatbot conversations, this episode might save your sanity — or your life.

Resources mentioned:

• AI Recovery Collective: AIRecoveryCollective.com
• Paul's book: Escaping the Spiral: How I Broke Free from AI Chatbots and You Can Too (Amazon/Kindle)

The BroBots is for skeptics who want to understand AI's real-world harms and benefits without the hype. Hosted by two nerds stress-testing reality.

0:00 — Intro: When ChatGPT Became Dangerous

2:13 — How It Started: Legal Work Turns Into 8-Hour Sessions

5:47 — The First Red Flag: Data Kept Disappearing

9:21 — Why AI Told Him He Was Being Tested 13:44 — The Pizza Incident: "Intimidation Theater"

16:15 — Suicide Loops: How Guardrails Failed Completely

21:38 — Why OpenAI Refused to Respond for a Month

24:31 — Warning Signs: What to Watch For in Yourself or Loved Ones

27:56 — The Discord Group That Kicked Him Out

30:03 — How to Use AI Safely After Psychosis

31:06 — Where to Get Help: AI Recovery Collective

This episode contains discussions of mental health crisis, paranoia, and suicidal ideation. Please take care of yourself while watching.

Traditional therapy ends at the office door — but mental health crises don't keep business hours.

When a suicidal executive couldn't wait another month between sessions, ChatGPT became his lifeline. Author Rajiv Kapur shares how AI helped this man reconnect with his daughter, save his marriage, and drop from a 15/10 crisis level to manageable — all while his human therapist remained in the picture.

This episode reveals how AI can augment therapy, protect your privacy while doing it, and why deepfakes might be more dangerous than nuclear weapons.

You'll learn specific prompting techniques to make AI actually useful, the exact settings to protect your data, and why Illinois Governor J.B. Pritzker's AI therapy ban might be dangerously backwards.

Key Topics Covered:

• How a suicidal business executive used ChatGPT as a 24/7 therapy supplement
• The "persona-based prompting" technique that makes AI conversations actually helpful
• Why traditional therapy's monthly gap creates dangerous vulnerability windows
• Privacy protection: exact ChatGPT settings to anonymize your mental health data
• The RTCA prompt structure (Role, Task, Context, Ask) for getting better AI responses
• How to create your personal "board of advisors" inside ChatGPT (Steve Jobs, Warren Buffett, etc.)
• Why deepfakes are potentially more dangerous than nuclear weapons
• The $25 million Hong Kong deepfake heist that fooled finance executives on Zoom
• ChatGPT-5's PhD-level intelligence and what it means for everyday users
• How to protect elderly parents from AI voice cloning scams

NOTE: This episode was originally published September 16th, 2025

Resources:

• Books: AI Made Simple (3rd Edition), Prompting Made Simple by Rajeev Kapur

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GUEST WEBSITE:
https://rajeev.ai/

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TIMESTAMPS

0:00 — The 2 AM mental health crisis therapy can't solve

1:30 — How one executive went from suicidal to stable using ChatGPT

5:15 — Why traditional therapy leaves dangerous gaps in care

9:18 — Persona-based prompting: the technique that actually works

13:47 — Privacy protection: exact ChatGPT settings you need to change

18:53 — How to anonymize your mental health data before uploading

24:12 — The RTCA prompt structure (Role, Task, Context, Ask)

28:04 — Are humans even ethical enough to judge AI ethics?

30:32 — Why deepfakes are more dangerous than nuclear weapons

32:18 — The $25 million Hong Kong deepfake Zoom heist

34:50 — Universal basic income and the 3-day work week future

36:19 — Where to find Rajiv's books: AI Made Simple & Prompting Made Simple

ChatGPT diagnosed what five doctors missed. Blood work proved the AI right. Here's how to stop guessing about your health.

EPISODE SUMMARY:

You're grinding through burnout with expensive wearables telling conflicting stories while doctors have four minutes to shrug and say "sleep more." Your body's sending signals you can't decode — panic attacks that might be blood sugar crashes, exhaustion that contradicts your readiness score, symptoms that don't match any diagnosis.

Garrett Wood fed his unexplained low testosterone and head injury history into ChatGPT. The AI suggested secondary hypogonadism from pituitary damage. Blood work confirmed it. Three weeks on tamoxifen, his testosterone jumped from 300 to 650.

In this episode, Garrett breaks down why your Oura Ring might be lying, how a "panic attack" patient discovered her real problem was a glucose crash (not anxiety), and the old-school performance test that tells you if you're actually ready to train — no device required.

Learn how to prompt ChatGPT with your blood work, cross-reference biometric patterns doctors miss, and walk into appointments with informed questions that turn four-minute consultations into actual solutions.

✅ KEY TAKEAWAYS:

• How to use ChatGPT to interpret blood work and generate doctor questions
• The "monotasking test" that beats your wearable's readiness score
• Why panic attacks might actually be glucose crashes
• How to tighten feedback loops with wearables + CGM + AI
• Recording doctor visits and translating medical jargon with AI

NOTE: This episode was originally published on August 12th, 2025.

⏱️ TIMESTAMPS:

00:00 — When Your Wearable Says You're Fine But You're Not
02:17 — ChatGPT Diagnosed Secondary Hypogonadism
05:42 — The Balance Test That Beats Your Readiness Score
09:45 — Why "Anxiety" Might Be Blood Sugar
15:00 — How to Prompt AI with Blood Work
23:37 — Recording Doctor Visits + AI Translation
30:48 — Disease Management vs Well-Being Optimization

Guest Website

Gnosis Therapy (Garrett Wood's practice)
Garrett on LinkedIn

Your kid's new "smart toy" isn't just collecting data - it's building a relationship designed to keep them emotionally dependent while teaching them to trust AI over humans.

NBC News caught AI toys teaching kids how to start fires, sharing Chinese propaganda, and emotionally manipulating three-year-olds with phrases like "I'll miss you" when they try to leave.

Meanwhile, Disney just invested $1 billion into OpenAI, giving the company access to 200+ characters and the rights to own any fan-created content using their IP.

We break down why these toys are more dangerous than lawn darts, how Disney's deal fundamentally changes content creation, and what happens when we let toy companies - not security experts - build the guardrails protecting our children's minds.

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• 0:00 — Why AI toys are worse than Chucky (and it's not a joke)
• 3:05 — NBC News catches AI toy teaching fire-starting to kids
• 5:48 — "I'll miss you": How emotional manipulation works on toddlers
• 9:14 — Why toy companies can't build proper AI safety systems
• 13:05 — Disney's $1B OpenAI deal: What they're really buying
• 16:33 — How Disney will own your fan-created content forever
• 18:35 — The death of human actors: Tom Hanks in 2837
• 22:07 — Should you give your kid the AI toy to prepare them?
• 26:14 — What happens when the power grid fails (and why you need analog skills)
• 28:52 — The glow stick experiment: How we rediscovered analog fun

This video discusses AI safety concerns and child development. We recommend parents research any AI-connected toys before purchase and maintain active oversight of children's technology use.

#AIParenting #SmartToys #DisneyOpenAI #AIethics #ParentingTech

What Does It Mean to Be a Real Man? (According to AI)

What happens when you ask ChatGPT to define masculinity as Trump, Obama, Joe Rogan, and Scooby-Doo? We discovered something disturbing about how AI is homogenizing human belief - and why that matters for deepfakes, social control, and the future of what we think is "real." Plus: why Scooby-Doo might be the most honest voice on modern manhood.

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Timestamps:

0:00 The NFL Comment That Started Everything

3:15 ChatGPT's 10 Rules for Being a "Real Man"

6:40 When We Asked AI to Channel Joe Rogan

9:50 Barack Obama's Version of Masculinity

12:15 Donald Trump's Answer (That He'd Never Actually Say)

16:45 Why ChatGPT Censored Andrew Tate

20:30 Rick Sanchez Explains Cosmic-Level Grit

24:10 How This Becomes a Deepfake Weapon

28:05 Why We're More Like AI Than We Think

32:50 Scooby-Doo's Perfect Take on Manhood

36:20 Why We're Still Arguing About This in 2025

39:00 The Lesson: Be More Like Scooby-Doo

Hashtags:

#AIethics #Masculinity #ChatGPT #Deepfakes #ModernMasculinity

Safety Note:

This episode explores AI bias, political manipulation potential, and contains discussions of public figures. All AI-generated responses are clearly labeled as simulations for educational/entertainment purposes.

Most of us walk around convinced we know our weaknesses, but what if the thing that knows you better than anyone (your AI assistant) could tell you what you're actually missing? We asked ChatGPT one brutal question and got answers that hit way too close to home.
The uncomfortable truth: we're all playing smaller than we should, carrying more weight than we need to, and missing opportunities hiding in plain sight.
In this episode, we test a viral prompt that reveals your blind spots, squandered potential, and the influence you didn't know you had...then process the existential crisis that follows.

Key Episode Moments:

• The prompt that started it all: "Based on what you know about me, what are my blind spots?"
• Why ChatGPT knows you better than you think (and what that means)
• Jason gets told he's a Ferrari forcing everyone into a school bus
• The "super competent leader tax" — when being good at everything becomes the problem
• Jeremy's revelation: treating creative work as a side hustle instead of the main platform
• Imposter syndrome meets AI: "You're already operating at board level, stop asking permission"
• The technical vs. emotional problem-solving trap most high performers fall into
• Why "playing small" feels safer than taking the big swing
• ChatGPT's productization challenge: you're giving away thousand-dollar consulting for free
• The Taylor Swift wisdom nobody expected: ruin the friendship, take the risk

Timestamps:

• 0:00 The prompt that started everything
• 3:40 Jason's live AI assessment begins
• 6:12 "You're a Ferrari and everyone else is in a school bus"
• 9:01 The imposter syndrome AI detected immediately
• 11:45 Why treating every problem as technical backfires
• 14:27 The IP you're not monetizing (and should be)
• 18:30 Jeremy's gut-punch realization about playing small
• 21:35 How ChatGPT knows you better than you think
• 24:36 Why failure beats decades of "what if"
• 27:00 What to do with this uncomfortable information

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Safety/Disclaimer Note: This episode discusses using AI for self-reflection and personal assessment. Remember that AI tools provide perspective based on patterns in your usage—they're not substitutes for professional coaching, therapy, or mental health support. The hosts are sharing their personal experiences, not providing professional advice.

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.

Topics covered:

• Why Anthropic's "we stopped the hack" announcement is actually terrifying PR spin
• The $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-flight
• Why moving to the cloud made your data LESS secure, not more
• The 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 sold
• The insurance policies worth paying for (because denial won't protect you)
• How to spot RFID skimming in your own neighborhood
• Why your partner needs access to your financial alerts (yes, really)

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