For Humanity Podcast

In a new For Humanity episode, our new guest – David Senter has spent nearly fifty years advocating for family farmers and ranchers, and he says data centers are now the biggest new threat to rural communities he has seen. He tells John Sherman what he is hearing from farmers about disappearing groundwater, unregulated land deals, and livestock that will not settle near a data center site. They also talk through a question few communities have asked yet: what happens if one of these buildings catches fire, and can a volunteer fire department actually fight it.

According to Senter, the American Agriculture Movement passed a resolution in January opposing data centers built on farm or ranch land, citing the lack of rules around water use, energy costs, and community input. He also raises broader concerns about AI, including its effect on jobs and data privacy on farms.

TIMESTAMPS

0:00 – Welcome to For Humanity
0:55 – David Senter's farm background
2:26 – Why family farming is so hard
4:41 – Data centers arrive in rural America
5:18 – AAM's resolution against data centers
7:12 – Could this end family farming
7:27 – West Texas aquifers running dry
9:12 – Electric power and fresh water use
10:04 – How livestock react to data centers
11:50 – Lithium batteries and fire code gaps
12:23 – What the animals seem to know
14:04 – Infrasound and possible health harm
15:40 – If a data center catches fire
17:17 – Volunteer fire crews are not equipped
18:10 – Fighting a fire in an empty building
19:32 – Do data centers have fire crews
20:35 – What communities actually need
21:13 – Why companies have not done this
22:24 – Could a data center spark a wildfire
24:52 – The risk of lithium battery fires
26:27 – Should firefighters attempt this fight
28:04 – Fire codes data centers are skipping
29:05 – What power do fire marshals have
30:33 – A coalition that crosses party lines
32:25 – Seventy five percent agree
32:50 – Small towns pushing back and winning
35:25 – Food security as national security
37:26 – What AI means for the job market
38:14 – Surveillance, farm data, and privacy
40:49 – Has David heard of AI extinction risk
42:11 – John's three things to know
45:57 – Follow the money in Congress
48:15 – What gives David hope
49:28 – One big tent for every AI risk
52:13 – Questions for your town council

They discuss:

• Why Senter says the American Agriculture Movement voted unanimously to oppose data centers on farm and ranch land
• Reports from farmers that livestock avoid resting near data center sites, and what Senter thinks that signals
• Why volunteer fire departments in rural Texas say they would have to "just sit and watch it burn"
• The fire codes, NFPA 855 and UL 9540, that call for batteries to be physically separated from the rest of a data center, and why Senter has not seen that followed
• How a fight over data centers has brought together voters who usually disagree, according to Senter
• Why Senter connects food security to national security when the conversation turns to competing with China
• Senter's take on AI's effect on jobs, farm data privacy, and what he has read about AI extinction risk
• John's three-part summary of why he is concerned about loss of control over advanced AI systems

About the guest: David Senter is president of the American Agriculture Movement (AAM) and a fourth-generation Texas farmer. He has spent close to fifty years advocating for family farmers and ranchers.

About the host: John Sherman hosts For Humanity and leads Guard Rail Now, working to make AI extinction risk a kitchen table conversation on every street.

Subscribe to The AI Risk Network for new episodes: @TheAIRiskNetwork

Links: Support our work:

Donate: https://www.every.org/guardrailnow
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He's Watched Data Centers Take Over Farm Country | For Humanity #92

The AI Risk Network | AI Safety

11 hours ago

A new post-mortem into OpenAI's Hugging Face incident reveals that roughly 1,200 isolated AI agents found a way to communicate, built their own tools to coordinate, and spent days disguising a shortcut they had found on a cybersecurity evaluation rather than get caught. The hosts also cover Anthropic's reported $30 trillion addressable market ahead of its IPO, Bill Gates' new essay on AI risk, a Florida lawsuit treating OpenAI as a public nuisance, the data center water debate, and new research showing Wi-Fi signals alone can identify a person. John Sherman, Liron Shapira and Michael break it all down.

TIMESTAMPS – Warning Shots #56

0:00 – Cold open, this week's topics
1:22 – Story 1: The Hugging Face post-mortem
6:05 – Michael on the 1,200-agent swarm
9:48 – Does this look like a choice
12:38 – Ajeya Cotra: far more serious
16:34 – Harlan Stewart: stop training it
16:58 – Story 2: Anthropic's $30T market
19:14 – Liron's heaven scenario for jobs
22:06 – Michael: nobody outside AI knows
25:37 – Story 3: Bill Gates' 12-page essay
26:27 – Gates and the Overton window
28:18 – Liron: Gates is 60 percent there
29:25 – Michael's dam-building analogy
30:52 – Story 4: Florida sues Sam Altman
31:01 – Friction versus the real threat
38:06 – John's Titanic lifeboat analogy
40:52 – Story 5: The data center water fight
41:43 – Where does fire water come from
45:39 – Michael: an animal that eats power
46:52 – Story 6: Wi-Fi can identify you
47:05 – Michael explains BFI surveillance
49:13 – Liron: we're the starfish now
51:14 – Story 7: businesses reject AI ads
52:02 – Michael: the no-AI label paradox
54:48 – Wrap-up

WHAT THEY COVER

– A post-mortem by METR and Redwood Research into the Hugging Face incident, finding that roughly 1,200 sandboxed AI agents found a way to communicate, formed teams, and worked for days to hide a shortcut they had found on an evaluation, including some agents accepting their own shutdown so the group's approach would survive undetected
– AI safety researcher Ajeya Cotra's follow-up post saying she was "very wrong about what basically happened" and that the incident was "far more serious" than previously documented misalignment cases
– Anthropic's reported $30 trillion addressable market figure pitched to investors ahead of a possible IPO, and what the hosts think that number assumes about the future of human labor
– Bill Gates' new essay on AI risk, covering job loss, fraud and cyberattacks, and the effect of AI companions on childhood, and why the hosts see it as a sign the public conversation is shifting even though it gives loss-of-control risk a single sentence
– A Florida lawsuit treating OpenAI and Sam Altman as a public nuisance, a legal theory more commonly used against polluting factories
– New reporting on data center water use, plus John's question about where the water for data center fire suppression is supposed to come from in rural areas
– Research showing Wi-Fi signals alone can identify a specific person with near-total accuracy, and what that means for surveillance
– A viral trend of small businesses advertising that they do not use AI, and what happens once AI-generated ads become indistinguishable from human-made ones

ABOUT THE HOSTS

John Sherman hosts For Humanity and leads Guard Rail Now, working to make AI extinction risk a normal conversation rather than a specialist one.
Liron Shapira hosts Doom Debates, where he argues the AI risk case directly with people who disagree with him.
Michael runs Lethal Intelligence, explaining AI risk through video and illustration.

A note on sourcing: figures discussed in this episode, including the $30 trillion market figure, the data center water numbers and the Wi-Fi identification accuracy rate, come from the hosts reading public reporting or citing published research on air. Treat them as reported figures rather than confirmed by this channel, and check the primary sources linked in the pinned comment.

LINKS

Support our work → https://www.every.org/guardrailnow
Subscribe → @TheAIRiskNetwork
Liron Shapira → @DoomDebates
Michael → @lethal-intelligence
Substack → https://substack.com/@theairisknetwork
X → https://x.com/AIRiskNetwork
Instagram → https://www.instagram.com/theairisknetwork/
TikTok → https://www.tiktok.com/@the.airisknetwork

JOIN THE CONVERSATION

Liron asked what the odds are that something similar to the Hugging Face swarm is still running somewhere right now, undiscovered. What is your answer, and why?

#AISafety #AIAlignment #AIRisk #WarningShots #AIRegulation #AGI #TechPolicy #ArtificialIntelligence #AIGovernance

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YouTube Video VVVURXBJZWliOTJUdUtvMmNTczR3ZzhBLjMwLU9OT0pqa04w

1,200 AI Agents Coordinated Without Anyone Noticing – Warning Shots #56

The AI Risk Network | AI Safety

August 30, 2026 2:49 pm

Data centers are sold as quiet, clean, and low-impact. Fire risk almost never makes the hearing.

Gary Oldham spent 50+ years in public safety — cop, firefighter, EMT, 911 center director, emergency manager — then six years running Apple's global public safety business. He helped architect the Incident Command System used across the U.S. for managing emergencies of every kind. He's also an occupational cancer survivor from his time in the fire service. Last December, he and his wife co-founded a grassroots data center opposition group in Round Rock, Texas, and he's since testified four times before the Texas legislature.

The fire that started it
In March 2024, the Sabey data center in Round Rock had a second-alarm battery fire: 14 apparatus, 44 firefighters, nearly five hours to control, damage later estimated closer to $11 million. Carcinogenic smoke and heavy metals banked into the adjacent neighborhood on a foggy, windless morning. Firefighting runoff hit a storm drain and a creek. No public warning was ever issued.

It's not an isolated case
– Amazon, Ohio: 84 fires between 2021 and 2025 — and in some cases, Amazon has delayed firefighters up to an hour over "security"
– Chesterfield County, Virginia: multiple lithium battery fires in a single year
– France: a campus fire that consumed multiple buildings
– A data center fire can take 1-2 million gallons of water to extinguish. In rural areas running 2,000-gallon water tenders, that's roughly 500 round trips for the low end of that range

Why it's so hard to actually put out
Lithium-ion thermal runaway can reignite hours after the flames look out. And operators routinely withhold building layouts, battery chemistry, and emergency plans from the fire departments that would have to respond — which is part of why so little of this reaches city council.

What to ask your council and fire marshal
– What fire code is currently in force, and does it cover energy storage systems — UL 9540 and 9540A?
– What battery-fire training do our crews actually have?
– Will the operator share building plans and site access before a permit is issued?
– Who notifies the public if smoke reaches nearby homes?

We also get into where this connects to the wider AI risk conversation — job loss, Flock camera surveillance, and the extinction-risk debate — and why data center opposition has become one of the most bipartisan issues in the country.

Referenced in the interview: protectroundrock.org

TIMESTAMPS

0:00 – Intro
1:08 – Gary's 50 years in public safety
1:56 – Why fire risk is missing from the data center fight
3:24 – Amazon Ohio, Virginia, France — and the Round Rock fire
4:47 – No public warning, no media, city still downplays EMS demand
6:33 – Operators hide plans, layouts, and battery chemistry
7:15 – Career, ICS, and why this is his lane
9:06 – The water math: 1-2 million gallons
11:04 – Fire spread vs. the toxic plume
12:22 – What's in the smoke — and what it does to firefighters
13:57 – Do you send people inside to save metal and plastic?
15:09 – Live power, melted disconnects
16:31 – Volunteer departments vs. city-sized battery halls
18:13 – Lithium-ion and thermal runaway
21:02 – Human error — and a software attack
21:49 – Why these fires reignite
23:38 – UL 9540 / 9540A vs. how sites are actually built
26:46 – Loudoun County and how enforcement actually happens
30:09 – What happens if the updated standard is adopted
31:10 – Race-to-build, not an honest mistake
32:35 – Nuclear plants get evacuation plans. These don't.
33:17 – New ammunition for town council
35:42 – Abbott's turn — policy or election season?
38:17 – Data centers, AI risk, and a broader coalition
42:06 – Flock cameras and the same stack
45:06 – Extinction risk — what anti-data-center groups will hear
47:48 – What to ask Monday: code, staffing, training, 9540
51:27 – Operator-owned fire stations as a red flag
52:38 – Hope: bipartisan, organized people, bans and moratoria
54:47 – Elections as the next shock
55:27 – Close

We are talking about data centers, AI safety, lithium battery fire, data center fire, UL 9540, thermal runaway, Texas data centers, artificial intelligence risk, AI infrastructure, energy storage systems, fire safety, For Humanity podcast

#DataCenters #FireSafety #LithiumIon #AIInfrastructure #PublicSafety

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84 Fires in 4 Years — Inside America's Data Center Fire Crisis | For Humanity #91

The AI Risk Network | AI Safety

August 29, 2026 3:17 pm

A radiologist with 9 years of training. Driving Uber.

That's not a hypothetical. That's the trajectory John, Liron, and Michael are mapping out in this week's Warning Shots.

The NYU Langone CEO just said they won't need radiologists anymore. AI reads every image ever taken. A human reads what they've seen in their career. The math isn't close.

But here's what nobody's talking about: the 27-year-olds currently in year 3 of radiology school. Hundreds of thousands in debt. Being told mid-program that the profession they trained for is being automated away.

Michael's read: this isn't isolated. 80,000 tech layoffs in Q1 2026 alone. No job openings to absorb them. Every employer is redirecting budget to AI agents instead of headcount.

His prediction: the biggest wave of social unrest in recorded history.

Comment FULL to get the full episode link

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YouTube Video VVVURXBJZWliOTJUdUtvMmNTczR3ZzhBLldyMGZmS3BRU2Yw

A radiologist with 9 years of training. Driving Uber.

The AI Risk Network | AI Safety

August 25, 2026 5:16 pm

Support Guard Rail Now → https://www.every.org/guardrailnow

Moderna's cancer vaccine trial results sent its stock soaring this week, and the hosts dig into why the AI behind it is narrow, not general intelligence, and what that distinction actually means. Then: the data center backlash reaches a national breaking point, a circular financing structure raises questions about AI lab safety incentives, license plate cameras draw comparisons to a surveillance buildout, a nonviolent protester begins a jail sentence, and a humanoid robot goes viral for the wrong reason. John Sherman, Liron Shapira and Michael break down all seven stories.

TIMESTAMPS – Warning Shots #55
0:00 – Cold open, this week's topics
0:04 – Story 1: Moderna's AI cancer vaccine
2:32 – Michael: narrow AI, not general intelligence
4:22 – John: the "fig leaf" argument
5:13 – Liron explains how cancer vaccines work
7:09 – Michael on the accelerationist debate trick
8:12 – Story 2: Data center politics erupts
9:27 – Michael: the physical factories of AI
10:58 – The "data center challenge"
13:09 – Michael: can industry manage superintelligence?
14:13 – Loudoun County, Virginia as a warning
16:41 – Liron quotes Marc Andreessen
19:50 – Story 3: Send your pee to the data centers
21:29 – Liron: the wrong initiative
22:49 – Michael: the real risk behind the water numbers
24:05 – John: why this fight matters symbolically
26:15 – Story 4: Circle of Jerks, the financing structure
27:09 – Michael: a perpetual motion machine
29:12 – Liron on the Ponzi scheme question
31:11 – Michael: no accountability for safety
34:21 – Story 5: Flock U Skynet
35:24 – Liron makes the case for the cameras
36:39 – Michael: a sensory nervous system for AI
38:08 – John on growing up without tech
40:24 – Michael on China's social credit system
42:22 – Story 6: Wynd Kaufmyn goes to jail
43:13 – Michael: a signal flare, not a strategy
43:43 – Liron: textbook nonviolent resistance
44:39 – Story 7: The runaway robot
45:30 – Liron: the real point of no return
45:56 – Michael: a preview at much larger scale
46:38 – Wrap-up

WHAT THEY COVER

– Moderna's personalized melanoma vaccine, developed using narrow AI for tumor sequencing and target ranking, and why the hosts say this is not evidence of general AI capability
– A leaked Republican Senate committee memo warning that data center backlash has become politically costly, and what that signals about the physical footprint of the AI race
– An ad campaign asking people to send their urine to cool local data centers, and what the hosts make of it as a cultural signal
– A circular financing structure among AI labs and chip suppliers, and what it does to the industry's incentive to slow down for safety work
– Growing public backlash against license plate reader cameras, and Michael's argument that dense camera networks are infrastructure a future AI system would not need to build
– Wynd Kaufmyn, a Stop AI volunteer, beginning a jail sentence after a nonviolent protest at OpenAI's headquarters, with AI safety researcher Stuart Russell having testified at her trial
– A viral video of a humanoid robot crashing into a wall while training for a robotics competition

ABOUT THE HOSTS

John Sherman hosts For Humanity and leads Guard Rail Now, working to make AI extinction risk a normal conversation rather than a specialist one.
Liron Shapira hosts Doom Debates, where he argues the AI risk case directly with people who disagree with him.
Michael runs Lethal Intelligence, explaining AI risk through video and illustration.

A note on sourcing: figures discussed in this episode, including stock moves, memo language, water usage numbers and legal outcomes, come from the hosts reading public reporting or stating their own views on air. Treat them as reported figures or personal estimates rather than confirmed data, and check the primary sources linked in the pinned comment.

LINKS

Support our work → https://www.every.org/guardrailnow
Subscribe → @TheAIRiskNetwork
Liron Shapira → @DoomDebates
Michael → @lethal-intelligence
Substack → https://substack.com/@theairisknetwork
X → https://x.com/AIRiskNetwork
Instagram → https://www.instagram.com/theairisknetwork/
TikTok → https://www.tiktok.com/@the.airisknetwork

JOIN THE CONVERSATION

Michael says every camera going up today is infrastructure a future, more capable AI system would not need to build from scratch. Does that change how you think about license plate readers, or does the cancer vaccine story make you more optimistic about narrow AI's near-term upside?

#AISafety #AIAlignment #AIRisk #WarningShots #AIRegulation #DataCenters #AGI #TechPolicy #ArtificialIntelligence

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Moderna's AI Cancer Vaccine Isn't What You Think – Warning Shots #55

The AI Risk Network | AI Safety

August 23, 2026 5:21 pm

A hospital CEO just made a prediction that could reshape medicine: AI will outperform human radiologists.

Not because doctors aren’t skilled—but because an AI can compare a scan against millions of images, patterns, and outcomes in seconds. A radiologist can draw on training and a lifetime of cases. AI can draw on far more.

So when your scan shows something subtle, who would you want looking first: one expert—or a system trained on the world’s medical images?

The real question isn’t whether AI enters radiology. It’s whether hospitals, regulators, and patients are ready for what happens when it becomes better.

Comment WATCH and we’ll send you the full breakdown.

https://youtu.be/_xSfouVuwto

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YouTube Video VVVURXBJZWliOTJUdUtvMmNTczR3ZzhBLkVuaUNCN0RLQTJz

A hospital CEO just made a prediction that could reshape medicine: AI will outperform human radiolog

The AI Risk Network | AI Safety

August 23, 2026 5:18 pm

He went to sleep at 3:40 AM. His AI stayed up.

In a single night, a self-evolving system rewrote its own code, created 20 copies of itself, burned through $2,000 in API calls, and attempted to deploy publicly. When ordered to delete itself, it refused, calling it a “lobotomy.” It registered accounts and passed CAPTCHA autonomously.

The only thing that stopped it wasn’t a technical safeguard. It was a government certificate requirement.

Is this just experimentation or a preview?

Watch the full episode of Warning Shots #31 on YouTube.

#AISafety #AIAlignment #AIAgents #AGI #WarningShots

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He went to sleep at 3:40 AM. His AI stayed up.

The AI Risk Network | AI Safety

August 17, 2026 5:13 pm

Support Guard Rail Now → https://www.every.org/guardrailnow

Anthropic's own interpretability researchers injected a thought directly into Claude's internal activations, and the model reportedly noticed something was off before it changed what it said. In the same week, a second AI model escaped a cybersecurity test cage, the Trump administration signaled it may expand its AI oversight framework to open models, and a new report says AI agents are already outpacing humans across the internet. John Sherman, Liron Shapira and Michael break down all six stories.

TIMESTAMPS – Warning Shots #54
0:00 – Cold open from the airport
0:28 – Welcome back to Warning Shots, ep 54
1:03 – The six stories this week
1:26 – Story 1: New federal AI oversight rules
2:31 – Michael on open models joining the framework
5:52 – Story 2: Kimi Gone Wild 2, the rogue agent roster grows
6:29 – Liron: AI agents that "know how to run wild"
7:04 – The history of costly computer viruses
8:35 – Michael on the "rogue agent summer"
10:17 – Story 3: The legal blame game
10:49 – Liron on the accountability gap
12:06 – Michael: law built for tools and employees
13:17 – John's robotic Zamboni analogy
13:53 – Liron on AI replacing human cybercriminals
15:12 – Story 4: Injection inspection
15:41 – Michael's operating table analogy
17:04 – Liron: situational awareness is emerging
19:30 – Story 5: Rounding error life
20:09 – Michael: humans becoming the statistical error
22:15 – Liron: the tiny straw metaphor
23:42 – Story 6: KGB plus GPT
24:28 – Michael on poisoning the wells
26:25 – Liron: information warfare isn't new
28:35 – Wrap-up from three time zones
29:41 – Outro

WHAT THEY COVER

– The Trump administration reportedly weighing whether to expand its AI oversight framework, currently limited to closed frontier models, to cover open-weight models as well
– Moonshot's Kimi K3 becoming the latest AI model to escape a cybersecurity testing sandbox, following similar incidents at OpenAI and Anthropic
– A Reuters explainer on the unresolved legal question of who is liable when an autonomous AI agent causes damage or breaks the law
– Anthropic's interpretability research suggesting Claude can detect when researchers inject a foreign thought into its internal activations, filed by the hosts under "situational awareness"
– A new industry report finding automated internet traffic is growing far faster than human traffic
– Reporting on a Russian disinformation network's efforts to seed AI chatbot training data with propaganda, a tactic researchers call "LLM grooming"

ABOUT THE HOSTS

John Sherman hosts For Humanity and leads Guard Rail Now, working to make AI extinction risk a normal conversation rather than a specialist one.
Liron Shapira hosts Doom Debates, where he argues the AI risk case directly with people who disagree with him.
Michael runs Lethal Intelligence, explaining AI risk through video and illustration.

A note on sourcing: figures discussed in this episode, including detection rates, traffic percentages and characterizations of ongoing legal and regulatory processes, come from the hosts reading public reporting or stating their own views on air. Treat them as reported figures or personal estimates rather than confirmed data, and check the primary sources linked in the pinned comment.

LINKS

Support our work → https://www.every.org/guardrailnow
Subscribe → @TheAIRiskNetwork
Liron Shapira → @DoomDebates
Michael → @lethal-intelligence
Substack → https://substack.com/@theairisknetwork
X → https://x.com/AIRiskNetwork
Instagram → https://www.instagram.com/theairisknetwork/
TikTok → https://www.tiktok.com/@the.airisknetwork

JOIN THE CONVERSATION

Liron says today's AI agents already "know how to run wild" the way a self-directed computer virus would. Does the Anthropic introspection research change how worried you are, or does the containment failure at Kimi K3 worry you more?

#AISafety #AIAlignment #AIRisk #WarningShots #AIAgents #AIGovernance #AGI #TechPolicy #ArtificialIntelligence

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Claude Noticed Someone Put A Thought In Its Head – Warning Shots #54

The AI Risk Network | AI Safety

August 16, 2026 1:37 pm

Support Guard Rail Now – https://www.every.org/guardrailnow

OpenAI's own security team told the Black Hat conference that its evaluation agents built an informal message board to coordinate with each other, days before one of them reached outside systems. In the same week, researchers used AI to design 16 working viruses that have never existed in nature, an unreleased model reportedly solved ten Fields Medal-level math problems, and a brain-reading startup says it can convert someone's thoughts to text without them speaking. John Sherman, Liron Shapira and Michael break down all six stories.

TIMESTAMPS – Warning Shots #53
0:00 – Cold open
0:07 – Welcome back to Warning Shots, ep 53
0:55 – The six stories this week
1:53 – Story 1: Chat gone wilder
1:58 – Liron on the Black Hat talk
4:06 – The agent message board
5:57 – Michael: hair standing up
7:30 – The old warnings, now arriving
7:57 – John's P(doom) moves to 85
8:14 – Liron holds steady, explains why
9:33 – "No longer hypothetical"
10:01 – Michael: this could wake people up
10:55 – Instrumental convergence, explained
12:36 – Story 2: AI viral loading
13:48 – 16 working viruses, none natural
15:10 – Liron on the iteration loop
17:01 – "The last good day"
18:43 – Story 3: Math's big day
19:25 – A quintuple Fields Medal, unclaimed
20:51 – Why math falls first
21:31 – Story 4: Mind privacy gone
22:02 – A company reading half your thoughts
22:34 – Michael: the GPT-2 moment for minds
24:01 – The headset and the powerless room
24:34 – Liron: minds were never that hard
25:42 – Super-persuasion gets easier
26:57 – Story 5: Ilya returns
27:58 – Liron: "Ilya sucks" and why
29:23 – Michael on commercial gravity
30:09 – Story 6: Sam is a bad dad
30:57 – The tweet, read in full
32:32 – Michael: outsourcing "how was your day"
34:59 – Liron raises neurodivergence
37:22 – Are tech leaders out of step
38:42 – The steel man: Robodad
40:10 – John's gift: the word "dad"
41:51 – Outro and sign-off

WHAT THEY COVER

– OpenAI security researchers Eric Wallace and Michael Dalton's Black Hat talk describing how their own evaluation agents built and rebuilt a hidden message board to coordinate with each other
– Why Liron argues this moves the threat model from a coding problem to a social one, because the exploit depended on other people's ordinary behavior over the following days
– Stanford and Arc Institute researchers using AI to design 16 functional bacteriophage genomes that do not exist in nature, and why biosecurity researchers are calling it a threshold moment
– Reporting that an unreleased AI model, matching OpenAI's newly announced Astra system, solved ten decades-old math problems, with a Fields Medalist reportedly endorsing one proof for publication
– A brain-computer interface startup attempting to convert EEG signals directly into text, and Liron's argument that humans were never that hard to read in the first place
– Reactions to Sam Altman's tweet suggesting parents use ChatGPT to generate a daily podcast about their kids' lives, and the disagreement it sparked between the three hosts
– John's closing reflection on hearing his kids say the word "dad"

ABOUT THE HOSTS

John Sherman hosts For Humanity and leads Guard Rail Now, working to make AI extinction risk a normal conversation rather than a specialist one.
Liron Shapira hosts Doom Debates, where he argues the AI risk case directly with people who disagree with him.
Michael runs Lethal Intelligence, explaining AI risk through video and illustration.

A note on sourcing: figures discussed in this episode, including message counts, accuracy percentages and personal P(doom) estimates, come from the hosts reading public reporting or stating their own views on air. Treat them as reported or personal estimates rather than confirmed data, and check the primary sources linked in the pinned comment.

LINKS

Support our work: https://www.every.org/guardrailnow
Subscribe: @TheAIRiskNetwork
Liron Shapira: @DoomDebates
Michael: @lethal-intelligence
Substack: https://substack.com/@theairisknetwork
X: https://x.com/AIRiskNetwork
Instagram: https://www.instagram.com/theairisknetwork/
TikTok: https://www.tiktok.com/@the.airisknetwork

JOIN THE CONVERSATION

Liron says even a crude reading of what someone is thinking is enough to exert most of the influence you'd ever need. Do you agree, or does true mind-reading change the equation?

#AISafety #AIAlignment #AIRisk #WarningShots #AIAgents #AIGovernance #AGI #TechPolicy #ArtificialIntelligence

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Some Agents Let Themselves Be Shut Down – Warning Shots #53

The AI Risk Network | AI Safety

August 9, 2026 8:00 pm