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human-ai-interaction

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felixrieseberg.com 2026-10-17-1

How to be more ambitious: A tutorial for humans with models

Rieseberg's tutorial reads as ambition advice, but every example that worked rested on a verifier. The crash-free app workflow needed crash-report access, version-to-commit mapping, and Windows, macOS and Linux machines to reproduce bugs, and his fourth prompt question asks what other than you or the model shows the result is right. He dates the outside-judge rule to October 2026, which makes it a workaround with an expiry, and the VAGEN paper is one attempt to build the real thing.

# tags
ambitionprompt-engineeringagentic-engineeringhuman-ai-interactionverifier-bottleneckself-grading-agentsai-practitionerblog-postclaudemulti-agent-orchestration
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Prompt EngineeringIndependent verificationWorkflow embeddingVerifier-bottleneckMulti-agent orchestration
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verifier-bottleneck
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2026-05-07-22026-04-17-w22026-04-05-12026-04-11-12026-03-13-12026-04-15-22026-04-07-22026-04-07-12026-03-13-w32026-04-17-w3
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Microsoft Blog 2026-05-05-3

Microsoft's Frontier Firm Has a Comp-System Problem

Microsoft's Frontier Firm post buries the binding constraint on enterprise AI value capture in plain sight. Only 13 percent of workers say they are rewarded for reinventing work with AI even when results do not materialize. Until that compensation-design number moves, Cowork, the plugin ecosystem, and the four-pattern taxonomy are downstream of the actual problem.

# tags
enterprise-aicopilotmicrosoftai-strategyagent-orchestrationworkflow-redesignpilot-to-scaleoperating-modelenterprise-ai-adoptionai-adoption-patternsmulti-agent-orchestrationfrontier-modelsagentic-ai-viabilityorg-designworkforce-bifurcationhuman-ai-interactionai-1.0-defensibilitywork-trend-indexcopilot-coworkfrontier-firmincentive-designplatformization
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MicrosoftCopilotCopilot CoworkJared SpataroMicrosoft 365Work Trend IndexFrontier FirmMicrosoft Agent 365
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enterprise-ai-adoptionagent-orchestrationwork-redesignincentive-design
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2026-04-06-22026-04-04-12026-05-03-12026-04-15-12026-04-20-22026-04-20-32026-04-25-12026-04-27-32026-05-01-12026-05-01-3
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Wall Street Journal 2026-04-26-3

AI Is Cannibalizing Human Intelligence (Vivienne Ming, WSJ)

Ming's Polymarket experiment splits human-AI usage into three measurable patterns: oracle (use the answer), validator (use AI to confirm priors), cyborg (use AI as sparring partner). Validators perform worse than AI alone — sycophancy laundered as evidence — while the 5-10% of cyborgs match or beat prediction-market consensus. The unbuilt premium category is AI that disagrees with you on purpose; today's benchmarks measure what AI does alone, not whether the product is building human capacity or consuming it.

# tags
ai-cognitive-dependencyai-sycophancyai-and-human-capacityhuman-ai-interactionevaluationai-strategyai-cognitive-sovereigntyagent-gatingcognitive-loadcognitive-surrenderwsjvivienne-mingpolymarketprediction-markets
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Vivienne MingPolymarketChatGPTGeminiAnthropicOpenAIWSJ
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ai-cognitive-sovereigntyagent-gating
⟷ links
2026-03-18-12026-03-13-w32026-04-01-32026-04-03-22026-04-06-12026-03-11-22026-03-12-22026-04-17-w32026-04-05-12026-04-14-22026-04-15-22026-04-17-12026-04-22-12026-04-24-12026-04-24-w3
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