Archive: February 2025

SpaceX and Google both said no. Now his software is riding a SpaceX rocket next to Google’s

February 7, 2025 | TechCrunch AI
SpaceX and Google both said no. Now his software is riding a SpaceX rocket next to Google’s
The Kenyan American engineer previously worked in Google’s cloud computing business before a brief stint at SpaceX’s Starlink communications network in 2024. His experiences convinced him that there was untapped potential for computers in space. “When I was at SpaceX, I tried to pitch this internally. They said no. When I was at Google, I tried to pitch this internally. They said no,” he tells TechCrunch. So he left SpaceX and co-founded Satlyt, a new comp

OpenAI calls Astra its most dangerous model yet - watching what it does is only getting harder

February 10, 2025 | The Decoder
OpenAI calls Astra its most dangerous model yet - watching what it does is only getting harder
OpenAI calls Astra its most dangerous model yet - watching what it does is only getting harder Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner Sep 2, 2026 Nano Banana Pro prompted by THE DECODER AI News Without the Hype – Curated by Humans Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section. Subscribe no

The Verge

February 24, 2025 | The Verge AI
The Verge
Posted Nov 6, 2026 at 9:04 PM UTCRThe VergeRichard LawlerMicrosoft is reportedly “winding down” a cloud AI deal with Oracle.For your “is that a bubble popping?” Bingo cards: Bloomberg reports that Microsoft is reconsidering deals to rent server capacity from “neoclouds” to power its AI efforts, and has been turning off rented capacity from Oracle since declining to renew a 2023 deal.Sources said the computing power Oracle offered used older Nvidia chips, a

Learning from human preferences

February 11, 2025 | OpenAI News
Learning from human preferences
One step towards building safe AI systems is to remove the need for humans to write goal functions, since using a simple proxy for a complex goal, or getting the complex goal a bit wrong, can lead to undesirable and even dangerous behavior. In collaboration with DeepMind’s safety team, we’ve developed an algorithm which can infer what humans want by being told which of two proposed behaviors is better.