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.

📺 Watch more on The AI Risk Network

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→ Liron Shapira -Doom Debates

→ 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.

📺 Watch more on The AI Risk Network

🔗Follow our hosts:

→ Liron Shapira -Doom Debates

→ 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

📺 Watch more on The AI Risk Network

🔗Follow our hosts:

→ Liron Shapira -Doom Debates

→ Michael - @lethal-intelligence ​

🗨️ Join the Conversation

* 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?