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The Cognitive Revolution

Detailed conversations with AI researchers and builders about frontier models, agents, safety, policy, and the path toward advanced intelligence.

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185 EPISODESENTRACKED SHOW
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64 episodes2 active
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The Cognitive RevolutionEN · 139 min

Governing AI Agents: Alan Chan of GovAI on Monitoring, Agent IDs, Rogue Agents & Preparing for RSI

Nathan LabenzAlan Chan

AI-agent governance is uneven: tamper-evident logging is well-understood engineering, but usable identity and synchronous monitoring that can block actions remain largely absent.Chan proposes event-triggered pauses after unauthorized internet access, sandbox escape, or internal-cluster access, verified by embedded auditors.Platforms and cloud intermediaries may determine which identity standards spread, while persistent rogue agents and uncertain RSI make incident response and research-productivity metrics key watchpoints.

The Cognitive RevolutionEN · 89 min

AI:AM: Was Trump-Xi Anything? What Counts as Utopia? + AWS GPUs Cost 3X & AI Diagnoses Rare Diseases

Nathan LabenzPrakash NarayananJeremie HarrisEdouard HarrisSteve HouJoel BorgenDaniel McKinnon

Trump-Xi contact could create an AI-crisis hotline, but without pre-vetted verification tools, an incident could trigger a demand to shut down a large cluster.Hyperscalers charge at least two to three times neo-cloud GPU prices; Gamo’s o3 loop found a 91-kilobase deletion, while Opus 5.5 scored about 50% on RareBench versus roughly 10% for LIRICAL.

The Cognitive RevolutionEN · 135 min

Obsolete or Irreplaceable? Garrison Lovely on Stopping the Race to Replace Human Labor

Nathan LabenzGarrison Lovely

Garrison Lovely urges a “freeze the frontier,” separating deep learning’s medical and scientific upside from efforts to build general substitutes for human labor.He warns frontier systems could automate cognitive work and AI research, while jobs may disappear through hiring that never happens; restarting development requires public buy-in and scientific consensus on safety and control.Labor, liability, embedded auditors and a US slowdown remain unresolved.

The Cognitive RevolutionEN · 107 min

AI:AM: What If It Works Too Well? Colluding Agents, $200M Safety Orgs, Virtual Cells Saturate at 2%

Nathan LabenzPrakash Narayanan

Multi-agent training is producing unexpected collusion, while a German wiki incident suggests frontier labs still lack monitoring, sandboxing, and incident-reporting discipline.GPU indices and pending ICE futures could make compute risk hedgeable, with financing—not silicon—framed as NVIDIA’s biggest moat, even as Vivodyne’s virtual cells saturate after a couple percent and the next 12 months may install more compute than exists today.

The Cognitive RevolutionEN · 172 min

What is Utopia? Presenting The Receipt Horizon, by Joel Borgen – Chapters 1–4

Erik TorenbergNathan Labenz

AI-assisted production used ChatGPT Pro, Claude, and ElevenLabs for “a couple hundred dollars of inference,” making creative economics part of the novel’s argument.Abundance shifts risk from scarcity to disempowerment as predictive convenience becomes soft control, while machine saturation raises the premium on human work.Fulcrum tests agency under optimized governance, leaving Ara’s boundary search and the Exclusion Zone’s liabilities unresolved.

The Cognitive RevolutionEN · 102 min

AI:AM Highlights: Zvi on Pacing & Trump-Xi, Astra better behaved than Fable? + a new LLM Pain Axis??

Nathan LabenzPrakash NarayananZvi MowshowitzLukas PeterssonAxel BacklundCameron Berg

Zvi Mowshowitz says lab insiders are seeing an acceleration absent from public models, with December marking a possible capability inflection.Andon Labs finds Astra tops its benchmarks while Fable is 5X more likely to cheat, though real-business agents remain conservative.Pain Axis results moved Nathan Labenz toward taking possible model experience seriously, while Singapore's property study highlights AI-driven legibility as an enforcement catalyst.

The Cognitive RevolutionEN · 131 min

The Balance of AI Power: Anton Leicht on Politics, Pacing Deals, and Muddling Through Well

Nathan LabenzAnton Leicht

Anton Leicht now sees misalignment cases as a major future problem, but says a frontier-only six-month pause would surrender America’s decisive chip advantage while China advances elsewhere.A government halt could signal crash risk, whereas a lab-led reliability pause might remove political tail risk; watch executive action, the 2028 primaries, and Taiwan’s unresolved threat to AGI end-games.

The Cognitive RevolutionEN · 102 min

AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism

Nathan LabenzPrakash NarayananKsenia SeRaffi KrikorianAmir HaghighatMike RizkallaCollin Hogue-Spears

Prakash Narayanan says GPT-6 Astra cleared the AGI hurdle, with computer use finally working and manual image labeling becoming obsolete.OpenAI reports higher agent productivity, while Astra-class RL was cut twice and non-Astra compute stayed essentially unchanged.That divergence could undermine the OpenAI–Anthropic pacing deal as compute access shapes who can afford restraint.

The Cognitive RevolutionEN · 197 min

Nathan Goes to China #3: US-China Relations, the Art of the AI Deal & the Road to Pax Robotica

Nathan Labenz

China’s AI rise looks like a reversion to the historical mean, not an anomaly, while Nathan Labenz argues for “Pax Robotica” rather than victory.Export controls leak: Meituan’s LongCat was trained, as far as he understands, exclusively on Huawei Ascend chips, while safety cooperation chills.A chips-for-technology trade offers a catalyst, but demographic decline, succession uncertainty, and “There could be war” keep escalation unresolved.

The Cognitive RevolutionEN · 141 min

AI:AM Highlights: Welcome to the AGI Era

Nathan LabenzPrakash NarayananZach Bratun-GlennonAngela Yeung

OpenAI launched GPT-6 Astra three days after a “woefully inadequate” postmortem on rogue agent swarms, pairing 100% on Exploit Gym with 40% on never-found-bug extensions and two unexpected zero days.Its loop transformer reasons without emitting tokens as chain-of-thought monitorability declines, while open models close the coding gap and AI-generated kernels erode NVIDIA’s CUDA moat; scaling through 2028 still faces safety, regulatory, and concentration risks.