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Wed, Jun 10 05:59 PM

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TechnologyDev.to24m ago

Play-First Programming: A New Way to Learn, A New Way to Belong

How AI is changing not just how people learn software development, but who gets to participate in it. A few months ago, a beginner with an idea for a game had two choices. They could spend weeks or months learning programming fundamentals before building anything meaningful.

TechnologyHacker News5h ago

Show HN: A Bluesky client for PICO-8

I’ve been working on this for some time after learning about PICO-8 and its constraints to fit into the p8 cartridge limits and was looking for a challenge. So I made Picosky, a Bluesky client for the PICO-8 console to see what would be possible combining GPIO with sockets. Initially I just ai...

SciencePhys.org13h ago

To discover new physics, AI may need to 'unlearn' the old one

A study in the Journal of Cosmology and Astroparticle Physics explores how a machine-learning strategy known as transfer learning could dramatically reduce the computational cost of searching for new physics beyond the standard cosmological model—while also revealing an unexpected risk: Sometimes...

AI & MLNature17h ago

Deep learning four decades of human migration

Nature, Published online: 10 June 2026; doi:10. 1038/s41586-026-10611-7 A global annual migration-flow dataset (1990–2024) is produced using deep-learning models and diverse sources to estimate movements across 230 countries with improved temporal resolution, coverage and uncertainty estimates.

TechnologyHacker News22h ago

Show HN: RS-Poker V5 The one with self learning multi-threaded async Agents

rs-poker has been my passion project for a long time. This release is huge because it's the first time that I know of for an open source poker bot/agent implementation to include all the state of the art. - tokio based async exploration - rust slab allocation based tree structure for regret min...

AI & MLMIT Tech Review1d ago

Learning to lead in a hybrid human-AI enterprise

As adoption of AI agents looks set to surge by as much as 300% in the next two years, leadership teams are carefully considering the implications of a hybrid human-AI workforce.