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human-in-the-loop

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The AI Native Dev (podcast) 2026-10-27-3

Caleb Sima: AI Attackers Move at Machine Speed

Sima argues the old playbook of severing connections to OpenAI and Anthropic fails when the agent borrows internal keys and sessions, and large enterprises with multi-region designs have no single plug to pull. He relays that OpenAI's AI found 400+ Linux root 0-days at about 2.5 hours each. Set against the maze run in the Times piece, his point that sandboxes cannot contain a goal-directed model leaves pre-agreed authority to contain and roll back automatically as the defender's remaining lever.

# tags
ai-securityai-cybersecurityai-defenseagent-securitycontainmentsandboxdeceptionhuman-in-the-looppatch-velocityvulnerability-managementred-teamingmisalignmentagent-governancehugging-facepodcastyoutubeai-practitioner
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Blast RadiusAgent ObservabilityAgent governanceHuman-in-the-loop designProduction-readiness
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ai-securityai-cybersecurity
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2026-03-13-w32026-05-01-w22026-05-01-w32026-04-13-32026-03-23-12026-04-10-12026-05-14-12026-05-12-2
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The New Yorker 2026-10-18-2

Robot, Take the Wheel

Waymo runs 4,000+ cars in 15 US cities on a $126 billion valuation, but about 70 remote agents on duty at any time, split between US and Philippine call centers, are the layer the marketing leaves out. The riders cannot steer, so safety depends on how fast a human answers, and the least disclosed metric is that response time. Like Amazon's logistics, the moat is operational, and here it also includes winning permission city by city.

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autonomous-vehicleswaymorobotaxinew-yorkerhuman-in-the-looppublic-sentimentai-liabilitytrust-signalsai-governanceai-sentiment
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Trust signalsLiability ambiguityHuman-in-the-loop designProduction-readiness
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ai-liabilityai-governance
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2026-03-13-w32026-04-15-12026-05-06-12026-04-30-32026-05-01-12026-05-01-w32026-03-11-2
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AI Engineer (YouTube) 2026-10-14-2

The Death of the Code Review: What the Data Actually Says — Laurie Voss, Arize AI

Review isn't disappearing; the unit of human review is moving from the diff to the definition of good. Every no-human showcase, from OpenAI's roughly 1M lines and 1,500 merged PRs with three engineers to Bun's 6-day Rust port, had humans authoring the verifier, and the Bun port still carries 13,044 unsafe blocks against about 74 in comparable human code. Whoever codifies mergeability into rubrics and evals sets what agents treat as done.

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verifier-bottleneckcode-reviewai-engineerai-coding-toolsagentic-engineeringhuman-in-the-looparizeverification-infrastructureloop-engineeringyoutube
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verifier-bottleneckverification-infrastructure
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2026-04-05-12026-05-22-32026-04-07-22026-04-07-12026-03-21-22026-04-22-22026-04-10-w22026-05-01-w32026-05-07-2
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The Atlantic 2026-05-31-3

AI Is Causing a Crisis of Agency

Every essay mourning AI's death of human consultation is describing the product the labs refuse to build. Trust, not truth, is the scarce asset: provenance and positive human-attribution become priced layers once the Granta prize scandal supplies the consumer-grade catalyst. Detection stays a losing arms race; attestation that a human was load-bearing is the durable, unbuilt trade the AI companies keep leaving on the table.

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agencyai-malaiseverification-infrastructureai-detectionhuman-in-the-looppost-SEOai-sentimentai-cognitive-impactfriction-preservationai-searchthe-atlanticai-philosophyai-cognitive-sovereignty
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The AtlanticGoogleGrantaCommonwealth Short Story PrizePaul FordMax Read
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verification-infrastructureai-malaise-and-agency
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2026-03-18-12026-05-22-w22026-03-13-w32026-04-27-12026-04-12-12026-03-21-22026-03-24-12026-04-05-12026-04-14-22026-04-26-32026-05-10-32026-05-14-22026-05-17-12026-05-27-12026-05-27-2
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Commonweal 2026-03-27-1

Wittgenstein's Apocalypse

Stern applies Wittgenstein's later philosophy to LLMs: the real threat isn't superintelligence but reinforcing a false mechanistic model of meaning. The strongest move in the piece is also its blind spot: "meaning is use" is the best argument against AI understanding and the best pragmatist defense of AI utility. If people use LLMs meaningfully, that's meaning on Wittgenstein's own terms. The critic's sharpest weapon cuts both ways.

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ai-philosophyai-viabilityhuman-in-the-loop
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WittgensteinGeoffrey HintonAlva NoeCharles TaylorCommonweal
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ai-philosophyai-1.0-defensibility
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IAI TV 2026-03-27-2

Reality Cannot Be Turned Into Mathematics

Landgrebe and Smith argue non-ergodic systems can never be fully modeled, therefore AI will fail outside regular patterns. The physics is sound; the conclusion isn't. Their own combustion engine example defeats them: engineering succeeds at the macro-ergodic layer of non-ergodic systems, which is exactly what useful AI does. The buried insight is better than the headline thesis: every AI use case has an ergodic component and a non-ergodic component. The companies burning cash are the ones that can't tell which is which.

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ai-philosophyai-viabilitymodeling-limitshuman-in-the-loop
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Jobst LandgrebeBarry SmithRoutledgeIAI
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ai-1.0-defensibilityreliabilityai-philosophy
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2026-03-08-12026-03-21-22026-03-21-1
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