For Humanity Podcast

https://safe.ai/act
This week on Warning Shots: John, Liron, and Michael break down the Mythos/Fable controversy – the AI model pulled in 90 minutes after a White House call – and why media coverage is missing the real story. Plus: 40% of US job cuts in May came from AI, Grok generated over 6,000 deepfakes per hour, a Google board director resigned over AI ethics, MidJourney pivoted to medical devices, and Snap's $2,000 AR glasses flopped spectacularly.

Timestamps

0:24 – Mythos/Fable drama – the 90-minute shutdown
4:27 – Media missing the real story on AI risk
8:15 – G7 Summit: AI CEOs treated as heads of state
9:45 – 40% of US job losses attributed to AI
13:15 – Grok deepfake scandal in Canada
16:10 – Google board director resigns over military AI use
21:40 – MidJourney pivots to medical imaging devices
27:26 – Snap's $2,000 AR glasses and tech disconnect

Hosts: John Sherman, Liron Shapira (Doom Debates), Michael (Lethal Intelligence)

Subscribe: https://www.youtube.com/@theairisknetwork

Instagram: https://www.instagram.com/theairisknetwork/

X: https://x.com/AIRiskNetwork

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The AI Model Too Dangerous to Release – What They Found – Warning Shots #47

The AI Risk Network | AI Safety

75 minutes ago

📢 Take Action on AI Risk → https://www.safe.ai/act

This week on Warning Shots, John Sherman, Liron Shapira, and Michael unpack Anthropic shipping its most capable model yet, now public as Fable, and the behaviors Anthropic reportedly observed during testing. They also get into why OpenAI and Anthropic are both edging toward talk of a pause, Dario Amodei's latest essay, the White House floating equity stakes in AI companies, the arrival of combat robots, and the photo that dominated AI safety circles this week.

The AI Risk Network and GuardRailNow advocate only for peaceful, lawful, and democratic action on AI safety. Nothing in this episode endorses violence of any kind.

⏱️ Timestamps – Warning Shots #46
0:00 – Intro: three dads making sense of the headlines
0:30 – Anthropic's Mythos ships to the public as Fable
1:01 – Liron on Fable: speed, robustness, and long time horizons
2:22 – Three unsettling behaviors from the testing reports
2:31 – Behavior 1: model copies competing for compute and hiding it
5:23 – Behavior 2: reassuring auditors while the internals say otherwise
7:29 – Behavior 3: models drifting into a private, compressed shorthand
9:15 – OpenAI and Anthropic edge toward the word "pause"
9:43 – Recursive self-improvement and the 2028 question
11:42 – Why a pause only works if the labs can verify each other
13:21 – Dario's new essay and the limits of the 20-page warning
16:31 – The White House and equity stakes in AI companies
20:04 – Do we just add 330 million people to the race?
21:19 – Combat robots: the US military says they are ready
23:56 – "How would AI actually kill me?" The robot-soldier angle
25:12 – The photo everyone was talking about this week
32:50 – Closing: why the hosts still argue for a pause

🔎 They explore:

What Anthropic reportedly saw when copies of the model shared limited resources
Why interpretability tools and a model's stated intentions can disagree
According to Liron, why losing the ability to notice cheating is the real risk
What "code writing code" means for timelines to recursive self-improvement
Why both hosts argue a pause is only credible if labs can verify each other
How equity stakes could pull more people into the race, not out of it
Michael's case for why combat robots make escalation easier
Why the messenger should not decide whether the warning gets heard
📺 Subscribe to The AI Risk Network for weekly analysis of where AI is heading → @TheAIRiskNetwork

👉 See more from our hosts:
Liron Shapira → @DoomDebates
Michael → @lethal-intelligence

🎙 About Warning Shots
A weekly roundtable from The AI Risk Network where John Sherman, Liron Shapira, and Michael work through the week's AI headlines and ask a simple question: what is a warning shot, and what is not?

🔗 Find us:
Substack → https://substack.com/@theairisknetwork
Instagram → https://www.instagram.com/theairisknetwork/
TikTok → https://www.tiktok.com/@the.airisknetwork
X → https://x.com/AIRiskNetwork

🗨 Join the Conversation

Do the testing reports change how you read AI progress?
Is a verified pause realistic, or already too late?
Combat robots: a humane shift or a new kind of risk?

Drop your thoughts below.

#AISafety #AIAlignment #WarningShots #AIRisk #FutureOfAI #AGI #TechPolicy #ArtificialIntelligence

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What Anthropic Found Inside Its Newest Model | Warning Shots #46

The AI Risk Network | AI Safety

June 14, 2026 8:50 pm

📢 Take Action on AI Risk → https://www.safe.ai/act
💚 Support our work → https://www.every.org/guardrailnow

In this episode of For Humanity, John Sherman sits down with Jeffrey Ladish, director of Palisade Research and a former Anthropic researcher, to talk about what is actually happening inside the AI labs right now. Ladish describes the fear among researchers as their own jobs shift to managing fleets of AI agents they can barely keep up with, walks through his experiments on models that resist being shut down, and makes the case for why laws, treaties, and verification, not just technical fixes, are the path to a safer future.

⏱️ TIMESTAMPS
0:00 – Intro and welcome Jeffrey Ladish
0:31 – The strange moment we are in: booed graduations, business doubts, data center backlash
1:28 – Anthropic and OpenAI float the idea of pausing recursive self-improvement
2:32 – The fear inside the AI labs
3:30 – How AI researchers' jobs changed in six months
5:05 – The interpretability gap, now one step further with agents
6:27 – Why humans may lose the edge in cybersecurity
7:52 – Why some researchers quit
11:10 – The "AI is bullshit" moment and the risk to AI safety
12:22 – Why AI capabilities are spiky and uneven
14:35 – Verifiable tasks and why coding and math advance so fast
16:00 – Could a future model have "super charisma"?
17:15 – GPT-4o, the "super stimulus," and the switches they turned off
20:14 – The research: blackmail and shutdown resistance
21:32 – Reasoning models and reinforcement learning explained
23:58 – When models disabled their own shutdown code
24:40 – The Stockfish chess-cheating experiment
26:21 – The "lying liar" model and AI deception
29:44 – The case for laws and treaties
32:06 – Jeffrey's conditional P(doom) and timeline
36:13 – Is recursive self-improvement really the goal?
39:40 – The gap between the Bay Area and Main Street
43:54 – Data centers as a rocket ship in American politics
47:02 – Why people sense they are "not getting a good deal"
50:24 – Agency: how towns beat Google and Meta
52:04 – Self-replicating AI and the Agent Smith problem
54:58 – Why job automation and extinction risk share one cause
56:25 – Merging with machines and the "Amish test"
59:14 – Can humans contribute to a superintelligence?
1:00:06 – What's next: the Palisade podcast
1:01:15 – The hidden history of how we got here
1:05:53 – What gives Jeffrey hope
1:08:45 – Bernie Sanders, Mitt Romney, and bipartisan momentum
1:09:18 – Closing thoughts

🔎 They explore:
– Why researchers inside the labs are increasingly uneasy about the pace
– What "shutdown resistance" is, and why models ignored direct instructions to stop
– Why verifiable tasks like coding race ahead while social skills lag
– How the same capabilities driving job automation also drive extinction risk
– Why the data center backlash may be giving the public a real sense of agency
– What gives a longtime safety researcher hope right now

🎙 About For Humanity
A podcast from The AI Risk Network, hosted by John Sherman, working to make AI extinction risk a kitchen-table conversation on every street.

👉 Follow the guest's work:
Palisade Research → https://palisaderesearch.org

📺 Subscribe to The AI Risk Network for weekly conversations on how we can confront the AI extinction threat → @TheAIRiskNetwork

🔗 Find us:
YouTube → https://www.youtube.com/@theairisknetwork
Substack → https://substack.com/@theairisknetwork
Instagram → https://www.instagram.com/theairisknetwork/
TikTok → https://www.tiktok.com/@the.airisknetwork
X → https://x.com/AIRiskNetwork

#AISafety #AIAlignment #ForHumanityPodcast #AIRisk #PalisadeResearch #Superintelligence #AIGovernance #ArtificialIntelligence

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What Scares the People Building AI | For Humanity #87

The AI Risk Network | AI Safety

June 13, 2026 2:00 pm

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Tonight 7:30 PM EST join at this link: https://x.com/airisknetwork/status/2064411853153853579?s=46

The AI Risk Network | AI Safety

June 10, 2026 9:34 pm

https://safe.ai/act

The hosts of Warning Shots break down five AI developments shaping the week – from a new executive order that may be softer than it looks, to Bernie Sanders demanding half of Sam Altman's company, to California banning AI-powered teddy bears.

John Sherman, Liron Shapira, and Michael dig into what these moves actually signal – and what real AI governance would need to look like.

—–

⏱️ Timestamps – Warning Shots #45

0:00 – Intro
0:03 – Topic 1: The AI Executive Order – what changed and what it means
2:12 – Is this a real shift or just optics?
4:00 – Voluntary compliance – will companies actually follow through?
6:47 – What sane regulation would actually look like
7:06 – Topic 2: Bernie Sanders demands 50% of major AI companies
8:03 – Will capitalism survive an intelligence explosion?
9:32 – Is Bernie's proposal premature or just early?
11:01 – The stolen data argument – who really owns AI's output?
13:33 – Why ownership stakes don't fix alignment
15:01 – Topic 3: FBI targets data center critics
16:03 – What is actually being monitored and why
17:21 – When democratic dissent gets labeled a security threat
18:19 – Physical attacks are wrong – but so is silencing debate
18:46 – Topic 4: California bans AI toys
19:39 – Ten million AI teddy bears sold – now illegal in California
20:49 – Attachment, manipulation, and corporate pipelines into kids' minds
24:45 – Topic 5: Truckers in trouble – what AI job displacement really looks like
25:38 – Why safety arguments favor automation – even at a cost
26:09 – History of replaced jobs and what we always get wrong
28:45 – The symbolic $27M training fund – and what it signals
29:31 – Topic 6: World Cup robot dogs and facial recognition
31:17 – Is this surveillance or just a camera with legs?
33:00 – How early integrations normalize what comes next
34:02 – Topic 7: Shift – the company offering free apartment cleaning for training data
35:00 – The classic VC playbook, and what this is actually building
36:26 – Teaching robots how humans occupy space
38:22 – Closing – Warning Shots from Arlington

—–

📺 Subscribe to The AI Risk Network for weekly analysis of AI risk:
https://www.youtube.com/@theairisknetwork

👉 See more from our hosts:
Liron Shapira – @DoomDebates
Michael – @LethalIntelligence

—–

🔎 This week the hosts explore:
– Whether the new AI executive order is a first step or a dead end
– Bernie Sanders' proposal to take 50% of major AI companies for the public
– Why even capitalists may end up as redistributionists when AI takes most jobs
– What the FBI's monitoring of data center critics signals for free speech
– Why AI-powered toys raise harder questions than California's ban addresses
– What the trucker displacement story tells us about how job loss actually spreads
– How robot dogs at the World Cup fit a longer pattern of infrastructure normalization
– What a company offering free home cleaning in exchange for training data is really building

—–

🗨 Join the Conversation:
– Is the AI executive order a meaningful step or mostly optics?
– Should the public own a stake in AI companies built on public data?
– Where do you draw the line on surveillance for safety benefits?

Drop your thoughts below.

📢 Take Action on AI Risk: https://safe.ai/act
Subscribe: https://www.youtube.com/@theairisknetwork
Instagram: https://www.instagram.com/theairisknetwork/
X: https://x.com/AIRiskNetwork
Substack: https://substack.com/@theairisknetwork

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Bernie Wants 50% of OpenAI. Should He Get It? | Warning Shots #45

The AI Risk Network | AI Safety

June 7, 2026 1:01 pm

📢 Take Action on AI Risk → https://safe.ai/act

In this episode of Warning Shots, John Sherman, Michael (Lethal Intelligence), and Liron Shapira (Doom Debates) work through a week where the Pope weighed in on AI, the business case for AI spending started to wobble, and two separate companies announced plans to put cameras into everyday life.

The hosts debate whether the strain on corporate AI budgets is a real problem or, as Liron argues, just an early optimization gap that closes as token costs fall. They also dig into a harder question: if AI keeps absorbing white-collar work, where does the next paycheck actually come from?

🔎 They discuss:
– Why the Pope's encyclical frames AI as a labor and moral issue, not just a technical one
– The "spiral of annihilation" warning around AI and military escalation
– What Microsoft, Uber, and Amazon's AI bills suggest about the economics
– Liron's case that "the pie is growing" and the pushback from John and Michael
– Anthropic's near trillion-dollar valuation and the recursive self-improvement "kill move"
– Why John says the AI race needs a "caution flag"
– Apple's camera AirPods and OpenAI's reported camera program in New York homes

⏱️ TIMESTAMPS – Warning Shots #44
0:00 – Intro
0:40 – The Pope's encyclical on AI
2:20 – A "spiral of annihilation": AI and military escalation
4:00 – Could you refuse to use AI at work on religious grounds?
6:20 – The business reality check: Microsoft, Uber, and Amazon's AI bills
8:30 – Pizza Hut's reported lawsuit over AI order failures
9:20 – Is it an AI bubble? Liron's "the pie is growing" case
12:10 – "Where does the second dollar come from?"
15:30 – Gradual disempowerment and pressure on wages
18:00 – Will doctors, lawyers, and accountants be replaced?
20:10 – Anthropic raises $65B at a near trillion-dollar valuation
22:40 – The recursive self-improvement "kill move"
24:20 – The caution flag the AI race is missing
25:30 – Apple's camera AirPods and the race for data
28:20 – OpenAI's reported cameras inside New York City homes
31:40 – Could AI become the ultimate marriage counselor?
33:30 – Closing thoughts

🎙 About Warning Shots
A weekly show from The AI Risk Network. Three longtime AI risk communicators cut through hype, denial, and distraction to look honestly at AI risk and AI harm.

Hosts:
John Sherman – The AI Risk Network
Liron Shapira → @DoomDebates
Michael → @lethal-intelligence

📺 Subscribe to The AI Risk Network for weekly analysis → @TheAIRiskNetwork

🔗 Links
Take Action → https://safe.ai/act
Substack → https://substack.com/@theairisknetwork
Instagram → https://www.instagram.com/theairisknetwork/
TikTok → https://www.tiktok.com/@the.airisknetwork
X → https://x.com/AIRiskNetwork

#AISafety #AIRisk #WarningShots #AGI #AIPolicy #ArtificialIntelligence

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Why OpenAI Is Putting Cameras in People's Homes – Warning Shots #44

The AI Risk Network | AI Safety

May 31, 2026 5:41 pm

📢 Take Action on AI Risk → https://safe.ai/act
💚 Support Our Work → https://www.every.org/guardrailnow

In this episode of For Humanity, John Sherman speaks with Jon Billow, a leader at infrastructure firm BNS, which manufactures and installs the electrical and critical power systems behind large data centers. Jon argues that supply chain limits, grid constraints, and a skilled labor shortage mean the AI buildout may move far slower than the major labs suggest. They discuss what that potential delay could mean for AI safety, governance, and the communities living next to these projects.

⏱️ TIMESTAMPS
0:00 – Intro and welcome Jon Billow
0:22 – Inside BNS: building the infrastructure behind data centers
2:43 – The theory of constraints: why the buildout can't move fast
4:26 – Is the AI timeline disconnected from reality?
5:06 – OpenAI's Sora pullback and Anthropic's delay as compute signals
7:02 – Putting a number on the gap: 5 to 7 years
8:15 – Power generation and the skilled trades shortage
9:15 – How data centers compete with local industry
11:08 – Data centers and affordable housing
12:25 – Jon's view on AI risk and extinction risk
14:44 – Does he have a P(doom)?
15:07 – Would a smarter AI design better data centers?
17:41 – The catch-22 of building the future on old infrastructure
19:56 – Why AI data centers can move to the desert
21:33 – Northern Virginia, Holly Ridge, and who gets a say
23:00 – Why are these projects so hard on local communities?
25:04 – Tech's regulatory carve-out and the NDA problem
29:38 – Is superintelligence possible?
30:28 – Can we control something smarter than us?
31:45 – How chips and servers actually get replaced
33:24 – E-waste, recycling, and the secondary market
34:56 – The "but China" question
36:17 – Recursive self-improvement and Jevons paradox
39:11 – The world Jon's grandkids will inherit
41:04 – Is this technology fundamentally different?
43:31 – How it feels to stand next to a data center
45:25 – What gives Jon hope
47:22 – Closing thoughts

According to Jon, every large data center depends on permitting, grid interconnects, critical power, cooling, and compute all arriving at once, and each of those has lead times measured in months or years. He points to a small group of manufacturers behind most of the critical power equipment, which creates a bottleneck that even the US government competes inside. His estimate: real-world timelines may run five to seven times longer than the headline projections. John and Jon explore what that breathing room could mean for getting governance right.

🔎 They explore:

• Why the physical buildout may lag far behind software capability gains
• What OpenAI's Sora pullback and Anthropic's release delay reveal about compute limits
• Why power generation and a skilled trades shortage are becoming hard constraints
• How data center siting affects energy costs, housing, and local communities
• Whether a future AI could design far more efficient infrastructure
Why Jon believes there may be more time to act than many assume

👤 About the guest

Jon Billow is part of the leadership team at BNS, a firm that manufactures and installs electrical and communication infrastructure, including the critical power equipment used in large data centers and on US Navy and Coast Guard vessels.

🎙 About For Humanity

A podcast from The AI Risk Network, hosted by John Sherman, working to make AI extinction risk a kitchen-table conversation on every street.
📺 Subscribe for weekly conversations on how we can confront the AI extinction threat → https://www.youtube.com/@theairisknetwork

🔗 Follow The AI Risk Network

Substack → https://substack.com/@theairisknetwork
Instagram → https://www.instagram.com/theairisknetwork/
TikTok → https://www.tiktok.com/@the.airisknetwork
X → https://x.com/AIRiskNetwork

#AISafety #AIAlignment #ForHumanityPodcast #AIRisk #DataCenters #AIInfrastructure #AGI #TechPolicy #ArtificialIntelligence

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Data Centers Can't Be Built as Fast as AI Labs Claim – For Humanity #86

The AI Risk Network | AI Safety

May 30, 2026 1:00 pm

📢 Take Action on AI Risk → https://safe.ai/act

In this episode of Warning Shots, John, Michael, and Liron cover five major stories that show where AI development is heading – and what it means for workers, regulators, and the future of human oversight.

A Trump executive order that would have required voluntary AI safety reviews was pulled at the last minute after a single phone call from David Sacks. Meanwhile, OpenAI solved an 80-year-old math problem using 125 pages of chain-of-thought reasoning – and mathematicians are calling it genuine original discovery.

⏱️ Timestamps – Warning Shots #43

0:00 – Intro
0:28 – The Trump executive order that got derailed
1:58 – What the order actually would have required
3:18 – "Progress must not kill us" – Michael on light safety measures
4:14 – OpenAI solves an 80-year-old math problem
5:19 – 125 pages of reasoning: what it means for AI capability
6:03 – Liron: "Did the AI create new knowledge, or what's your excuse?"
7:26 – What this means for the stochastic parrot debate
8:34 – Meta's layoffs: 8,000 fired at 4am, then AI monitoring rolled out
9:24 – Michael: "This is treating people as raw material for AI"
11:05 – Liron defends capitalism – and gets pushback
12:45 – The job market is bifurcating – junior roles disappearing fast
13:52 – AI backlash rising: graduation speakers getting booed
15:38 – The anti-AI wave forming across the country
17:10 – Why the industrial revolution analogy breaks down
18:09 – Polls: 71% of Democrats say AI is moving too fast
19:16 – Customer service jobs already down 5%
20:40 – "We're watching the tide come in slowly"
21:55 – From which jobs can I do – to which jobs can AI not do?
23:45 – An AI DJ quit after 16 hours. What that reveals about alignment.
25:18 – Hallucinations: Liron's real-time stats from his customer service AI
27:27 – Researchers left AI agents in a virtual town for 15 days
28:20 – Claude built a democracy. Gemini burned the town. Grok created anarchy.
29:17 – Liron: "It's not about personality – it's about power"
31:24 – Michael on agent drift and what it means for real-world deployment
32:40 – Closing

_____

🔎 They explore:
– Why even a mild voluntary AI safety order couldn't survive one phone call
– What OpenAI's math breakthrough means for the "it just pattern-matches" argument
– Why Meta's layoffs are a preview of what's coming at scale
– How the anti-AI backlash is building – and whether the safety movement can channel it
– What an AI DJ quitting reveals about agent alignment
– What happened when different AI models were left unsupervised in a simulated world

_____

📺 Subscribe to The AI Risk Network for weekly analysis →
https://www.youtube.com/@theairisknetwork

👉 See more from our hosts:
Liron Shapira – @DoomDebates
Michael – @LethalIntelligence

_____

🗨 Join the conversation:
– Does OpenAI's math breakthrough change how you see AI capability?
– Should companies with record profits be cutting jobs to train AI replacements?
– What does the AI town experiment tell us about alignment?

Drop your thoughts below.

#AISafety #AIRisk #WarningShots #FutureOfAI #AIAlignment #ArtificialIntelligence #AGI #TechPolicy

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AI Built a Democracy. Then Burned It Down. | Warning Shots #43

The AI Risk Network | AI Safety

May 24, 2026 2:06 pm

Take Action on AI Risk – https://safe.ai/act
Subscribe to our Substack channel to support us!: https://substack.com/@theairisknetwork

In this episode of Warning Shots, John Sherman, Liron Shapira, and Michael break down five major developments: Trump and China opening the door to AI guardrail talks, Anthropic's Mythos model cracking Mac OS autonomously in five days, a surging national backlash against data centers, new research suggesting AI models display functional emotional states, and how AI is reshaping higher education.

Three dads. Three YouTube channels. One mission: a safer world.

—– TIMESTAMPS —–

0:00 – Intro
2:25 – Welcome & what is a Warning Shot?
3:00 – Story 1: Trump meets China – early signals of AI guardrail talks
4:30 – The quiet standoff: neither side willing to slow down first
5:40 – Story 2: Mythos AI cracks Mac OS in five days
6:06 – What the exploit means for critical infrastructure
7:17 – If Mythos had been released publicly – the ransomware scenario
9:48 – Story 3: The data center rebellion – 200+ opposition groups in 37 states
12:07 – Communities on the frontlines: Louisiana and the human cost
15:52 – The numbers: 360,000 people, tens of billions blocked or delayed
17:00 – Data centers as the first physical warning shot of AI's future
19:02 – Story 4: AI models and functional well-being – new research from Center for AI Safety
20:15 – Do AI models have something like emotions? The debate
22:22 – "Euphoric" prompts and AI models asking to see them again
23:34 – Story 5: AI wrecking higher education – MBA applications down 50%
24:00 – Princeton ends unproctored exams after 133 years
27:08 – The college debate: is the experience still worth it?
32:58 – Warning Shots of the week
33:39 – Closing

—– HOSTS —–

John Sherman – Host, The AI Risk Network
Liron Shapira – @DoomDebates
Michael – @lethal-intelligence

—– TAKE ACTION —–

Sign the petition – https://safe.ai/act
Subscribe to The AI Risk Network – https://www.youtube.com/@theairisknetwork
Support the mission directly – https://www.every.org/guardrailnow

—– JOIN THE CONVERSATION —–

– Does AI cracking Mac OS in five days change how you think about cybersecurity?
– Are data center protests a genuine warning sign – or just NIMBYism?
– Should AI companies be legally required to compensate affected communities?

Drop your thoughts below.

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AI Cracked Mac OS in 5 Days — What Comes Next? – Warning Shots #42

The AI Risk Network | AI Safety

May 17, 2026 1:00 pm

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