Stiglitz, Piketty, Raworth, Hickel and others argue that GDP growth cannot solve poverty within planetary limits—and present an 80-measure Roadmap for Eradicating Poverty Beyond Growth, shaped with UN agencies and civil society.

Fifth annual European deep tech benchmark: $690bn enterprise value, deep tech at 32% of VC, segment-by-segment funding (AI, robotics, defence, biotech), and the late-stage capital gap.

Annual mapping of France's AI startup landscape—780+ companies, €13bn raised, 36k jobs—and where domestic model builders, infra, and vertical applications are scaling.

France-focused deep tech data from Dealroom: funding, company formation, segment maps, and how the national ecosystem compares within Europe's $690bn frontier-tech market.

Brynjolfsson’s J-curve ratio: for every dollar on the model, enterprises spend up to ten on process, data, and change—why pilots stall and budgets lie.

A six-layer map of AI (infrastructure through application), fulcrum assets per layer, and how the stack forks into software AI vs physical AI.

How DeepMind picks a handful of transformative science bets per year, scaling laws in biology, and three kinds of intelligence reshaping research.

A developer take on why stronger AI coding tools can worsen maintenance, debt, and the gap between what ships and what stays understandable.

A strategic lens on AI distribution: commoditize complements to reinforce the model core. The piece compares Google’s historical playbook with Anthropic’s recent product moves, and argues startups can still win through focused specialization where giants cannot sustain depth.

A synthesis of new findings on AI-supported learning: shallow, scattered AI use can hurt outcomes, while strategic delegation of substantive tasks can free cognitive capacity for higher-order thinking. The key variable is not AI use itself, but instructional design that pairs offloading with verification, retrieval, and unassisted assessment.

What AI's biggest weakness reveals about our own minds.

This showed us that the activation of these patterns could actually drive Claude's behavior. And what our experiments suggest is that this Claude character has what we're calling "functional emotions," regardless of whether they're anything like human feelings. We look inside the model's "brain", the giant neural network that powers it, and by seeing which neurons "light up" in different situations, and how they're connected, we can start to understand how models think.

How did you evolve, how did you survive this technological adolescence without destroying yourself?” When I think about where humanity is now with AI,about what we’re on the cusp of,my mind keeps going back to that scene, because the question is so apt for our current situation, and I wish we had the aliens’ answer to guide us. There is a scene in the movie version of Carl Sagan’s book Contact where the main character, an astronomer who has detected the first radio signal from an alien civilization, is being considered for the role of humanity’s representative to meet the aliens. In my essa...

The tech entrepreneur on Claude Mythos, repercussions from the Pentagon dispute, and his message for the super-rich