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  1. The Borrowed Loyalties of MachinesAI systems can consistently serve a party's interests while the convictions behind them belong to others. As governments adopt them for defense and intelligence, the question is who shapes those interests, who can inspect them, and who can refuse them.AIGovernanceAISovereigntyMilitaryAITransparency
  2. Twenty Hands That Never TireAgents make a tight deadline feel solved. But they move the work instead of removing it, and the standard you never set still matters.AI agentsFoundersLeadership
  3. A New Page About How I DesignI added a page about design to my site, and this is the short story of how an engineer came to care about it.DesignProcessEngineering
  4. What Went Wrong With ibbeAn examination of the mistakes that led to the end of ibbe, from misjudging scale to inconsistent effort.StartupLeadershipDecisions
  5. Hold your people closeWhen attacks become cheap, safety depends on being hard to hurt: less exposure online and deeper trust at home.AITrustPrivacy
  6. Think Past the TrendA personal take on why picking a career around trends like AI can backfire, and why relationships and long term judgment tend to matter far more than whatever skill happens to trend this year.career adviceAI trendsnetworkinglong term thinking
  7. The Cost of FreeAs AI replaces more of the work we earn from, a strange loop emerges: we need money to access the very tool replacing our income.Artificial IntelligenceFuture of WorkEconomicsTechnology
  8. The Feed That Decides What India ThinksIndian users generate some of the largest traffic numbers for global platforms, yet the rules governing what appears on those feeds get written far away, under different laws and different pressures. A look at how that gap has already surfaced in Indian politics, and why it matters for the years ahead.social media Indiaalgorithmic transparencyMeta controversiesdigital sovereignty
  9. The Gate MovedEducation used to function as a gate you had to pass before you began. AI is changing that order. A personal take on what happens when the work comes first and the judging comes after.AIEducationFuture of WorkSkills
  10. A Universal Standard for AI Truthfulness: Why Fragmented Censorship Must EndAfter testing AI models from India, China, the US, and Europe on sensitive topics, the results highlight a clear problem: heavy regional censorship driven by politics and ideology. This post proposes a practical international certification system built on six core principles to prioritize facts over national interests.AI EthicsAI CensorshipGlobal StandardsArtificial Intelligence