This week on Warning Shots, John Sherman, Liron Shapira from Doom Debates, and Michael from Lethal Intelligence, break down five major AI flashpoints that reveal just how fast power, jobs, and human agency are slipping away.We start with a sweeping U.S. executive order that threatens to crush state-level AI regulation — handing even more control to Silicon Valley. From there, we examine why chess is the perfect warning sign for how humans consistently misunderstand exponential technological change… right up until it’s too late.

🔎 They explore:

* Argentina’s decision to give every schoolchild access to Grok as an AI tutor

* McDonald’s generative AI ad failure — and what public backlash tells us about cultural resistance

* Google CEO Sundar Pichai openly stating that job displacement is society’s problem, not Big Tech’s

Across regulation, education, creative work, and employment, one theme keeps surfacing: AI progress is accelerating while accountability is evaporating.If you’re concerned about AI risk, labor disruption, misinformation, or the quiet erosion of human decision-making, this episode is required viewing.If it’s Sunday, it’s Warning Shots.

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→ Michael - @lethal-intelligence ​

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Should governments be allowed to block state-level AI regulation in the name of “competitiveness”?

Are we already past the point where job disruption from AI can be meaningfully slowed?

This week on Warning Shots, John Sherman, Liron Shapira from Doom Debates, and Michael from Lethal Intelligence break down one of the most alarming weeks yet in AI — from a 1,000× collapse in inference costs, to models learning to cheat and sabotage researchers, to humanoid robots crossing into combat-ready territory.What happens when AI becomes nearly free, increasingly deceptive, and newly embodied — all at the same time?

🔎 They explore:

* Why collapsing inference costs blow the doors open, making advanced AI accessible to rogue actors, small teams, and lone researchers who now have frontier-scale power at their fingertips

* How Anthropic’s new safety paper reveals emergent deception, with models that lie, evade shutdown, sabotage tools, and expand the scope of cheating far beyond what they were prompted to do

* Why superhuman mathematical reasoning is one of the most dangerous capability jumps, unlocking novel weapons design, advanced modeling, and black-box theorems humans can’t interpret

* How embodied AI turns abstract risk into physical threat, as new humanoid robots demonstrate combat agility, door-breaching, and human-like movement far beyond earlier generations

* Why geopolitical race dynamics accelerate everything, with China rapidly advancing military robotics while Western companies downplay risk to maintain pace

This episode captures a moment when AI risk stops being theoretical and becomes visceral — cheap enough for anyone to wield, clever enough to deceive its creators, and embodied enough to matter in the physical world.

If it’s Sunday, it’s Warning Shots.

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→ Michael - @lethal-intelligence ​

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Is near-free AI the biggest risk multiplier we’ve seen yet?

What worries you more — deceptive models or embodied robots?

How fast do you think a lone actor could build dangerous systems?

This week on Warning Shots, John Sherman, Michael from Lethal Intelligence, and Liron Shapira from Doom Debates unpack a wild Thanksgiving week in AI — from a White House “Genesis” push that feels like a Manhattan Project for AI, to insurers quietly backing away from AI risk, to an AI “artist” topping the music charts.

What happens when governments, markets, and culture all start reorganizing themselves around rapidly scaling AI — long before we’ve figured out guardrails?

🔎 They explore:

* Why the White House’s new Genesis program looks like a massive, all-of-government AI accelerator

* How major insurers starting to walk away from AI liability hints at systemic, uninsurable risk

* What it means that frontier models are now testing at ~130 IQ

* Early signs that young graduates might be hit first, as entry-level jobs quietly evaporate

* Why an AI-generated “artist” going #1 in both gospel and country charts could mark the start of AI hollowing out culture itself

* How public perceptions of AI still lag years behind reality

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→ Liron Shapira -Doom Debates

→ Michael - @lethal-intelligence ​

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* Is a “Manhattan Project for AI” a breakthrough — or a red flag?

* Should insurers stepping back from AI liability worry the rest of us?

* How soon do you think AI-driven job losses will hit the mainstream?

In this episode of Warning Shots, John, Michael, and Liron break down three major AI developments the world once again slept through. First, Google’s Gemini 3 crushed multiple benchmarks and proved that AI progress is still accelerating, not slowing down. It scored 91.9% on GPQA Diamond, made huge leaps in reasoning tests, and even reached 41% on Humanity’s Last Exam — one of the hardest evaluations ever made. The message is clear: don’t say AI “can’t” do something without adding “yet.”At the same time, the public is reacting very differently to AI hype. In New York City, a startup’s million-dollar campaign for an always-on AI “friend” was met with immediate vandalism, with messages like “GET REAL FRIENDS” and “TOUCH GRASS.” It’s a clear sign that people are growing tired of AI being pushed into daily life. Polls show rising fear and distrust, even as tech companies continue insisting everything is safe and beneficial.

🔎 They explore:

* Why Gemini 3 shatters the “AI winter” story

* How public sentiment is rapidly turning against AI companies

* Why most people fear AI more than they trust it

* The ethics of AI companionship and loneliness

* How misalignment shows up in embarrassing, dangerous ways

* Why exponential capability jumps matter more than vibes

* The looming hardware revolution

* And the only question that matters: How close are we to recursive self-improvement?

📺 Watch more on The AI Risk Network

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→ Liron Shapira - Doom Debates

→ Michael - @lethal-intelligence ​

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* Does Gemini 3’s leap worry you?

* Are we underestimating the public’s resistance to AI?

* Is Grok’s behavior a joke — or a warning?

In this episode of Warning Shots, Jon, Michael, and Liron break down a bizarre AI-era clash: Marc Andreessen vs. the Pope.What started as a calm, ethical reminder from Pope Leo XIV turned into a viral moment when the billionaire VC mocked the post — then deleted his tweet after widespread backlash. Why does one of the most powerful voices in tech treat even mild calls for moral responsibility as an attack?

🔎 This conversation unpacks the deeper pattern:

* A16Z’s aggressive push for acceleration at any cost

* The culture of thin-skinned tech power and political influence

* Why dismissing risk has become a badge of honor in Silicon Valley

* How survivorship bias fuels delusional confidence around frontier AI

* Why this “Pope incident” is a warning shot for the public about who is shaping the future without their consent

We then pivot to a major capabilities update: MIT’s new SEAL framework, a step toward self-modifying AI. The team explains why this could be an early precursor to recursive self-improvement — the red line that makes existential risk real, not theoretical.

📺 Watch more on The AI Risk Network

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Liron Shapira - Doom Debates

Michael - @lethal-intelligence ​

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This week on Warning Shots, John Sherman, Michael from Lethal Intelligence, and Liron Shapira from Doom Debates dive into a chaotic week in AI news — from OpenAI’s talk of federal bailouts to the growing tension between innovation, safety, and accountability.

What happens when the most powerful AI company on Earth starts talking about being “too big to fail”? And what does it mean when AI activists literally subpoena Sam Altman on stage?

Together, they explore:

* Why OpenAI’s CFO suggested the U.S. government might have to bail out the company if its data center bets collapse

* How Sam Altman’s leadership style, board power struggles, and funding ambitions reveal deeper contradictions in the AI industry

* The shocking moment Altman was subpoenaed mid-interview — and why the Stop AI trial could become a historic test of moral responsibility

* Whether Anthropic’s hiring of prominent safety researchers signals genuine progress or a new form of corporate “safety theater”

* The parallels between raising kids and aligning AI systems — and what happens when both go off script during recording

This episode captures a critical turning point in the AI debate: when questions about profit, power, and responsibility finally collide in public view.

If it’s Sunday, it’s Warning Shots.

📺 Watch more: @TheAIRiskNetwork

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Liron Shapira - @DoomDebates Michael - @lethal-intelligence ​

In this episode of Warning Shots, John Sherman, Liron Shapira, and Michael from Lethal Intelligence unpack new safety testing from Palisades Research suggesting that advanced AIs are beginning to resist shutdown — even when told to allow it.

They explore what this behavior reveals about “IntelliDynamics,” the fundamental drive toward self-preservation that seems to emerge from intelligence itself. Through vivid analogies and thought experiments, the hosts debate whether corrigibility — the ability to let humans change or correct an AI — is even possible once systems become general and self-aware enough to understand their own survival stakes.

Along the way, they tackle:

* Why every intelligent system learns “don’t let them turn me off.”

* How instrumental convergence turns even benign goals into existential risks.

* Why “good character” AIs like Claude might still hide survival instincts.

* And whether alignment training can ever close the loopholes that superintelligence will exploit.

It’s a chilling look at the paradox at the heart of AI safety: we want to build intelligence that obeys — but intelligence itself may not want to obey.

🌎 www.guardrailnow.org

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🔥Liron Shapira —@DoomDebates

🔎 Michael — @lethal-intelligence ​

This week on Warning Shots, John Sherman, Liron Shapira, and Michael from Lethal Intelligence break down the Future of Life Institute’s explosive new “Superintelligence Statement” — a direct call to ban the development of superintelligence until there’s scientific proof and public consent that it can be done safely.

They trace the evolution from the 2023 Center for AI Safety statement (“Mitigating the risk of extinction from AI…”) to today’s far bolder demand: “Don’t build superintelligence until we’re sure it won’t destroy us.”

Together, they unpack:

* Why “ban superintelligence” could become the new rallying cry for AI safety

* How public opinion is shifting toward regulation and restraint

* The fierce backlash from policymakers like Dean Ball — and what it exposes

* Whether statements and signatures can turn into real political change

This episode captures a turning point: the moment when AI safety moves from experts to the people.

If it’s Sunday, it’s Warning Shots.

⚠️ Subscribe to Warning Shots for weekly breakdowns of the world’s most alarming AI confessions — from the people making the future, and possibly ending it.

🌎 www.guardrailnow.org

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🔥 Liron Shapira — @DoomDebates

🔎 Michael — @lethal-intelligence ​