AI

Posts

• February 16, 2026

  So what's next?

  If we extrapolate the growth curve of AI outward for just a few more years, it's going to change everything. What should a rational person do to get ready?

• February 12, 2026

  Yesterday's projects

  Coding LLMs make the creation of tiny, composable tools almost free.

Sources

• article

  AI Will Transform the Global Economy. Let's Make Sure It Benefits Humanity.

  The IMF Managing Director warns that nearly 40% of global jobs are exposed to AI disruption, with a significant readiness gap between wealthy and low-income nations.

• article

  Anthropic's CEO Says We're in the 'Centaur Phase' of Software Engineering

  Amodei compares human-AI collaboration in software engineering to chess's centaur era, warning the phase may last only 1-5 years.

• video

  Anthropic's CEO: 'We Don't Know if the Models Are Conscious'

  Hour-long NYT 'Interesting Times' interview where Douthat presses Amodei on both the utopian promise and existential risks of transformative AI.

• page

  Colophon

• article

  DeepMind's AlphaFold Changed How Researchers Work

  MIT Technology Review on how AlphaFold solved the 50-year protein folding problem and shifted DeepMind's focus from games to science.

• article

  Don't Believe the AI Hype

  Nobel laureate Acemoglu argues that AI productivity forecasts from Goldman Sachs and McKinsey are vastly overstated, with actual GDP effects likely under 2% over a decade.

• article

  Machines of Loving Grace

  Dario Amodei's essay on how AI could transform biology, neuroscience, poverty, governance, and work.

• article

  Meta's AI Chief Yann LeCun on AGI, Open-Source, and AI Risk

  TIME interview where Meta's chief AI scientist argues LLMs are not a path to AGI and advocates for open-source AI development.

• article

  Something Big Is Happening

  Shumer argues we're in the early phase of an AI transformation far larger than COVID-19, with most people unaware of its true scale.

• article

  The Adolescence of Technology

  Amodei's companion essay to Machines of Loving Grace, focused on the risks of transformative AI and the pragmatic interventions needed to navigate them.

• paper

  The Simple Macroeconomics of AI

  Acemoglu's formal economic analysis estimating AI's TFP contribution at under 0.66% over 10 years, far below industry forecasts.

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