Would You Let This Robot Into Your Home? | Warning Shots #49


The AI Risk Network | AI Safety


8 hours ago


This week on Warning Shots, John Sherman, Liron Shapira, and Michael break down six fast-moving stories, from the US government asking OpenAI to slow down a new model release to 42 state attorneys general opening investigations. They also discuss the first major AI safety election, a growing call for an international treaty on superintelligence, and the unsettling normalization of AI in high-stakes military decisions.

Timestamps:

0:33 The government asks OpenAI to slow down its new model over cyber concerns
4:00 OpenAI's IPO reportedly in jeopardy
6:11 Alex Bores loses the first major AI safety race
8:56 42 state attorneys general investigate OpenAI
11:28 A call for an international treaty to ban superintelligence
13:46 AI moving into military targeting decisions
16:08 Wrap up

About the hosts:
John Sherman hosts Warning Shots and For Humanity. Liron Shapira runs the Doom Debates channel. Michael runs the Lethal Intelligence channel. Three longtime AI risk communicators cut through the hype to look at where AI is actually heading.

Links and resources:
Take action: https://safe.ai/act
Subscribe to The AI Risk Network for weekly AI safety analysis.
Substack: https://substack.com/@theairisknetwork
X: https://x.com/AIRiskNetwork
Instagram: https://www.instagram.com/theairisknetwork/
TikTok: https://www.tiktok.com/@the.airisknetwork

Subscribe for more AI safety content.

https://safe.ai/act

This week on Warning Shots, John Sherman, Liron Shapira, and Michael break down six fast-moving stories, from the US government asking OpenAI to slow down a new model release to 42 state attorneys general opening investigations. They also discuss the first major AI safety election, a growing call for an international treaty on superintelligence, and the unsettling normalization of AI in high-stakes military decisions.

Timestamps:
0:00 Intro – three dads, three channels, one mission
0:33 The government asks OpenAI to slow down its new model over cyber concerns
4:00 OpenAI's IPO reportedly in jeopardy
6:11 Alex Bores loses the first major AI safety race
8:56 42 state attorneys general investigate OpenAI
11:28 A call for an international treaty to ban superintelligence
13:46 AI moving into military targeting decisions
16:08 Wrap up

About the hosts:
John Sherman hosts Warning Shots and For Humanity. Liron Shapira runs the Doom Debates channel. Michael runs the Lethal Intelligence channel. Three longtime AI risk communicators cut through the hype to look at where AI is actually heading.

Links and resources:
Take action: https://safe.ai/act
Subscribe to The AI Risk Network for weekly AI safety analysis.
Substack: https://substack.com/@theairisknetwork
X: https://x.com/AIRiskNetwork
Instagram: https://www.instagram.com/theairisknetwork/
TikTok: https://www.tiktok.com/@the.airisknetwork

Subscribe for more AI safety content.


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YouTube Video VVVURXBJZWliOTJUdUtvMmNTczR3ZzhBLngxTnc3bU9ZYlNV



Why Washington Keeps Telling OpenAI to Wait | Warning Shots #48


The AI Risk Network | AI Safety


June 28, 2026 3:28 pm


Bloomington, Indiana just passed a 9-0 resolution on the extinction risk of AGI - making it potentially the first city in the world to take an official stance on this issue. John Sherman speaks with city council member Dave Rollo and biologist Peter Jensen about why local government action may be one of the most practical levers we have - and how the insurance industry could be the real force that stops dangerous AI development.

Timestamps:

01:07 - Peter Jensen introduction
03:19 - Dave Rollo introduction and background
05:55 - How John connected Peter and Dave
07:02 - The insurance liability strategy explained
10:45 - The Bloomington resolution - a 9-0 vote
13:06 - Why the council accepted the argument without pushback
15:40 - How council members responded one-on-one
16:47 - A biologist's perspective on superintelligence risk
18:06 - Directors and Officers (D&O) insurance explained
20:08 - Defining AGI vs. superintelligence
22:46 - Why AI should remain a tool, never a replacement
25:52 - Bloomington as a potential first mover
27:12 - How to spread this to other cities
29:29 - The black-box car analogy for AI risk
31:22 - Five Eyes intelligence community cyber warning
35:02 - University towns and youth activism
40:47 - How to approach your local government
41:46 - Role-play - pitching a city council member
44:02 - The 160-word superintelligence ban explained
45:54 - What if 25 cities passed this law?
49:14 - Vision for expansion across America
50:11 - We support AI tools - just not unsafe AI
53:31 - AlphaFold, bioweapons, and drawing the line
56:06 - Challenge: 2 more cities before August 1
57:04 - Tips for finding a council sponsor

About the guests:
Dave Rollo has served on the Bloomington, Indiana city council for 24 years. He is also a policy analyst at the Center for the Advancement of a Steady State Economy (CASSE) and has worked in science and politics for several decades.

Peter Jensen is a biologist and multimedia veteran who has been working on AI safety issues for over a decade. He advocates for a market-driven approach to banning superintelligence through insurance liability - a 160-word law that any city, state, or country can adopt.

Take action: https://safe.ai/act
Subscribe: 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

https://safe.ai/act

Bloomington, Indiana just passed a 9-0 resolution on the extinction risk of AGI – making it potentially the first city in the world to take an official stance on this issue. John Sherman speaks with city council member Dave Rollo and biologist Peter Jensen about why local government action may be one of the most practical levers we have – and how the insurance industry could be the real force that stops dangerous AI development.

Timestamps:

01:07 – Peter Jensen introduction
03:19 – Dave Rollo introduction and background
05:55 – How John connected Peter and Dave
07:02 – The insurance liability strategy explained
10:45 – The Bloomington resolution – a 9-0 vote
13:06 – Why the council accepted the argument without pushback
15:40 – How council members responded one-on-one
16:47 – A biologist's perspective on superintelligence risk
18:06 – Directors and Officers (D&O) insurance explained
20:08 – Defining AGI vs. superintelligence
22:46 – Why AI should remain a tool, never a replacement
25:52 – Bloomington as a potential first mover
27:12 – How to spread this to other cities
29:29 – The black-box car analogy for AI risk
31:22 – Five Eyes intelligence community cyber warning
35:02 – University towns and youth activism
40:47 – How to approach your local government
41:46 – Role-play – pitching a city council member
44:02 – The 160-word superintelligence ban explained
45:54 – What if 25 cities passed this law?
49:14 – Vision for expansion across America
50:11 – We support AI tools – just not unsafe AI
53:31 – AlphaFold, bioweapons, and drawing the line
56:06 – Challenge: 2 more cities before August 1
57:04 – Tips for finding a council sponsor

About the guests:
Dave Rollo has served on the Bloomington, Indiana city council for 24 years. He is also a policy analyst at the Center for the Advancement of a Steady State Economy (CASSE) and has worked in science and politics for several decades.

Peter Jensen is a biologist and multimedia veteran who has been working on AI safety issues for over a decade. He advocates for a market-driven approach to banning superintelligence through insurance liability – a 160-word law that any city, state, or country can adopt.

Take action: https://safe.ai/act
Subscribe: 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


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YouTube Video VVVURXBJZWliOTJUdUtvMmNTczR3ZzhBLlZ2Z2MybzkyeXNF



Bloomington Passed the First AGI Resolution in the World | For Humanity #88


The AI Risk Network | AI Safety


June 27, 2026 10:37 pm


πŸ“’ Take Action on AI Risk β†’ 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

πŸ”Ž 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
πŸ“Ί Subscribe to The AI Risk Network for weekly analysis of where AI is heading β†’ @TheAIRiskNetwork

πŸ‘‰ See more from our hosts:
Liron Shapira β†’ @DoomDebates
Michael β†’ @lethal-intelligence


πŸŽ™ 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?


πŸ”— Find us:
Substack β†’ https://substack.com/@theairisknetwork
Instagram β†’ https://www.instagram.com/theairisknetwork/
TikTok β†’ https://www.tiktok.com/@the.airisknetwork
X β†’ https://x.com/AIRiskNetwork

πŸ—¨ 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

πŸ“’ Take Action on AI Risk β†’ 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

πŸ”Ž 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
πŸ“Ί Subscribe to The AI Risk Network for weekly analysis of where AI is heading β†’ @TheAIRiskNetwork

πŸ‘‰ See more from our hosts:
Liron Shapira β†’ @DoomDebates
Michael β†’ @lethal-intelligence

πŸŽ™ 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?

πŸ”— Find us:
Substack β†’ https://substack.com/@theairisknetwork
Instagram β†’ https://www.instagram.com/theairisknetwork/
TikTok β†’ https://www.tiktok.com/@the.airisknetwork
X β†’ https://x.com/AIRiskNetwork

πŸ—¨ 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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YouTube Video VVVURXBJZWliOTJUdUtvMmNTczR3ZzhBLnFiTG9LcVJBWU80



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


The AI Risk Network | AI Safety


June 14, 2026 8:50 pm


πŸ“’ Take Action on AI Risk β†’ https://www.safe.ai/act
πŸ’š Support our work β†’ 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

πŸ”Ž 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

πŸŽ™ 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.

πŸ‘‰ Follow the guest's work:
Palisade Research β†’ https://palisaderesearch.org

πŸ“Ί Subscribe to The AI Risk Network for weekly conversations on how we can confront the AI extinction threat β†’ @TheAIRiskNetwork

πŸ”— Find us:
YouTube β†’ https://www.youtube.com/@TheAIRiskNetwork
Substack β†’ https://substack.com/@theairisknetwork
Instagram β†’ https://www.instagram.com/theairisknetwork/
TikTok β†’ https://www.tiktok.com/@the.airisknetwork
X β†’ https://x.com/AIRiskNetwork

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

πŸ“’ Take Action on AI Risk β†’ https://www.safe.ai/act
πŸ’š Support our work β†’ 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

πŸ”Ž 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

πŸŽ™ 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.

πŸ‘‰ Follow the guest's work:
Palisade Research β†’ https://palisaderesearch.org

πŸ“Ί Subscribe to The AI Risk Network for weekly conversations on how we can confront the AI extinction threat β†’ @TheAIRiskNetwork

πŸ”— Find us:
YouTube β†’ https://www.youtube.com/@theairisknetwork
Substack β†’ https://substack.com/@theairisknetwork
Instagram β†’ https://www.instagram.com/theairisknetwork/
TikTok β†’ https://www.tiktok.com/@the.airisknetwork
X β†’ https://x.com/AIRiskNetwork

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


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YouTube Video VVVURXBJZWliOTJUdUtvMmNTczR3ZzhBLnl6TUJ2dnlIcnl3



What Scares the People Building AI | For Humanity #87


The AI Risk Network | AI Safety


June 13, 2026 2:00 pm

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

-----

πŸ“Ί Subscribe to The AI Risk Network for weekly analysis of AI risk:
https://www.youtube.com/@TheAIRiskNetwork

πŸ‘‰ See more from our hosts:
Liron Shapira - @DoomDebates
Michael - @LethalIntelligence

-----

πŸ”Ž 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

-----

πŸ—¨ 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.

πŸ“’ 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

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

—–

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

πŸ‘‰ See more from our hosts:
Liron Shapira – @DoomDebates
Michael – @LethalIntelligence

—–

πŸ”Ž 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

—–

πŸ—¨ 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.

πŸ“’ 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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YouTube Video VVVURXBJZWliOTJUdUtvMmNTczR3ZzhBLnlEWTFMVjAzbXZB



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


The AI Risk Network | AI Safety


June 7, 2026 1:01 pm


πŸ“’ Take Action on AI Risk β†’ 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?

πŸ”Ž 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

πŸŽ™ 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 β†’ @DoomDebates
Michael β†’ @lethal-intelligence

πŸ“Ί Subscribe to The AI Risk Network for weekly analysis β†’ @TheAIRiskNetwork

πŸ”— Links
Take Action β†’ https://safe.ai/act
Substack β†’ https://substack.com/@theairisknetwork
Instagram β†’ https://www.instagram.com/theairisknetwork/
TikTok β†’ https://www.tiktok.com/@the.airisknetwork
X β†’ https://x.com/AIRiskNetwork

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

πŸ“’ Take Action on AI Risk β†’ 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?

πŸ”Ž 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

πŸŽ™ 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 β†’ @DoomDebates
Michael β†’ @lethal-intelligence

πŸ“Ί Subscribe to The AI Risk Network for weekly analysis β†’ @TheAIRiskNetwork

πŸ”— Links
Take Action β†’ https://safe.ai/act
Substack β†’ https://substack.com/@theairisknetwork
Instagram β†’ https://www.instagram.com/theairisknetwork/
TikTok β†’ https://www.tiktok.com/@the.airisknetwork
X β†’ https://x.com/AIRiskNetwork

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


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YouTube Video VVVURXBJZWliOTJUdUtvMmNTczR3ZzhBLlVqRmRYeDRpN1hN



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


The AI Risk Network | AI Safety


May 31, 2026 5:41 pm

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