Radar> Topics

AI & ML

Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).

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Software 2.0 Means Verifiable AI

By Mike Loukides | December 9, 2025

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What If? AI in 2026 and Beyond

By Tim O’Reilly, Mike Loukides | December 8, 2025

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Software in the Age of AI

By Louise Corrigan | December 4, 2025

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AI Agents Need Guardrails

By Pragya Keshap | December 3, 2025

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What MCP and Claude Skills Teach Us About Open Source for AI

By Tim O’Reilly | December 3, 2025

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Job for 2027: Senior Director of Million-Dollar Regexes

By Tim O'Brien | November 24, 2025

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How Agentic AI Empowers Architecture Governance

By Neal Ford, Mark Richards | November 19, 2025

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Build to Last

By Jeremy Howard | November 19, 2025

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The Trillion Dollar Problem

By Jeremy Arendt | November 18, 2025

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Countering a Brutal Job Market with AI

By Anjali Ramakrishnan | November 17, 2025

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AI Overviews Shouldn’t Be "One Size Fits All"

By Tim O’Reilly | November 13, 2025

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Your AI Pair Programmer Is Not a Person

By Tim O'Brien | November 12, 2025

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The Other 80%: What Productivity Really Means

By Mike Loukides | November 11, 2025

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Fixing Enterprise Apps with AI: The T+n Problem

By Subramanian Radhakrishnan, Rajeshwari Ganesan | November 10, 2025

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Data Engineering in the Age of AI

By Andy Kwan | November 6, 2025

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Jensen Huang Gets It Wrong, Claude Gets It Right

By Tim O’Reilly | November 6, 2025