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Warning Shots

Warning Shots

Written by: The AI Risk Network
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An urgent weekly recap of AI risk news, hosted by John Sherman, Liron Shapira, and Michael Zafiris.

theairisknetwork.substack.comThe AI Risk Network
Politics & Government
Episodes
  • NVIDIA’s CEO Says AGI Is “Biblical” — Insiders Say It’s Already Here | Warning Shots #25
    Jan 11 2026

    In this episode of Warning Shots, John, Liron, and Michael unpack a growing disconnect at the heart of the AI boom: the people building the technology insist existential risks are far away — while the people using it increasingly believe AGI is already here.

    We kick things off with NVIDIA CEO Jensen Huang brushing off AI risk as something “biblically far away” — even while the companies buying his chips are racing full-speed toward more autonomous systems. From there, the conversation fans out to some real-world pressure points that don’t get nearly enough attention: local communities successfully blocking massive AI data centers, why regulation and international treaties keep falling short, and what it means when we start getting comfortable with AI making serious decisions.

    Across these topics, one theme dominates: AI progress feels incremental — until suddenly, it doesn’t. This episode explores how “common sense” extrapolation fails in the face of intelligence explosions, why public awareness lags so far behind insider reality, and how power over compute, health, and infrastructure may shape humanity’s future.

    🔎 They explore:

    * Why AI leaders downplay risks while insiders panic

    * Whether Claude Code represents a tipping point toward AGI

    * How financial incentives shape AI narratives

    * Why data centers are becoming a key choke point

    * The limits of regulation and international treaties

    * What happens when AI controls healthcare decisions

    * How “sugar highs” in AI adoption can mask long-term danger

    As AI systems grow more capable, autonomous, and embedded, this episode asks a stark question: Are we still in control, or just along for the ride?

    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

    🗨️ Join the Conversation

    Is AGI already here, or are we fooling ourselves about how close we are? Drop your thoughts in the comments.



    This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit theairisknetwork.substack.com
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    25 mins
  • The Rise of Dark Factories: When Robots Replace Humanity | Warning Shots #24
    Jan 4 2026

    In this episode of Warning Shots, John, Liron, and Michael confront a rapidly approaching reality: robots and AI systems are getting better at human jobs, and there may be nowhere left to hide. From fully autonomous “dark factories” to dexterous robot hands and collapsing career paths, this conversation explores how automation is pushing humanity toward economic irrelevance.

    We examine chilling real-world examples, including AI-managed factories that operate without humans, a New York Times story of white-collar displacement leading to physical labor and injury, and breakthroughs in robotics that threaten the last “safe” human jobs. The panel debates whether any meaningful work will remain for people — or whether humans are being pushed out of the future altogether.

    🔎 They explore:

    * What “dark factories” reveal about the future of manufacturing

    * Why robots mastering dexterity changes everything

    * How AI is hollowing out both white- and blue-collar work

    * Whether “learn a trade” is becoming obsolete advice

    * The myth of permanent human comparative advantage

    * Why job loss may be only the beginning of the AI crisis

    As AI systems grow more autonomous, scalable, and embodied, this episode asks a blunt question: What role is left for humans in a world optimized for machines?

    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

    🗨️ Join the Conversation

    Are humans being displaced, or permanently evicted, from the economy? Leave a comment below.



    This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit theairisknetwork.substack.com
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    23 mins
  • 50 Gigawatts to AGI? The AI Scaling Debate | Warning Shots #23
    Dec 21 2025

    What happens when AI scaling outpaces democracy?

    In this episode of Warning Shots, John, Liron, and Michael break down Bernie Sanders’ call for a moratorium on new AI data centers — and why this proposal has ignited serious debate inside the AI risk community. From gigawatt-scale compute and runaway capabilities to investor incentives, job automation, and existential risk, this conversation goes far beyond partisan politics.

    🔎 They explore:

    * Why data centers may be the real choke point for AI progress

    * How scaling from 1.5 to 50 gigawatts could push us past AGI

    * Whether slowing AI is about jobs, extinction risk, or democratic consent

    * Meta’s quiet retreat from open-source AI — and what that signals

    * Why the public may care more about local harms than abstract x-risk

    * Predictions for 2026: agents, autonomy, and white-collar disruption

    With insights from across the AI safety and tech world, this episode raises an uncomfortable question:

    When a handful of companies shape the future for everyone, who actually gave their consent?

    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

    🗨️ Join the Conversation

    Do voters deserve a say before hyperscale AI data centers are built in their communities?



    This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit theairisknetwork.substack.com
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    27 mins
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