Imane 🏛️🍅

the reason every company struggles to find good writers is because good writing isn't really about writing

⚡️ NEW: Block, Inc. has quietly rehired some of the 4,000 employees it laid off last month, with some workers receiving offers to return after the cuts were linked to clerical errors.

Il y a 6 mois, j'ai pris un énorme tournant dans ma vie que je vous avais partagé et qui avait surpris plusieurs d'entre vous : - J'ai vendu tout ce qui m'appartenait pour partir m'installer seule à l'étranger, sans connaître rien ni personne dans le pays - Je me suis retirée officiellement du milieu du business après des années à m'y être dédiée et des milliers de personnes accompagnées - J'ai arrêté toutes les activités que je possédais pour me diriger vers une toute nouvelle vie plus créative Ça fait 6 mois aujourd'hui que j'ai tout quitté et tout recommencé, mais je n'ai rien partagé de tout ce qui s'est passé depuis, ou du moins je suis restée très très discrète Je vous partage tout ce soir à 18h sur YouTube de façon très transparente 🔔

JUST IN: Job postings for software engineers on Indeed reach new 6-month high

Oracle co-founder Larry Ellison delivers a sales pitch for his company's new AI-monitored body cameras, which live stream footage back to headquarters and cannot be turned off. "Citizens will be on their best behaviour, because we're constantly recording and reporting everything that's going on." "These are the kind of next generation systems we can build using AI."

I have so much gratitude to people who wrote extremely complex software character-by-character. It already feels difficult to remember how much effort it really took. Thank you for getting us to this point.

This is wild. 143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history. Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots. Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget. Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard. The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.