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RT @tbpn: “Is AI overhyped or underhyped?” @drfeifei: "Silicon Valley can mistake clear vision with short distance. In 2006 the first self…
Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne
RT @robertarail: Our Open-Endedness team at @GoogleDeepMind is hiring student researchers. Come work on some cool research with the super t…
Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne
A good spotify playlist is critical for the late night coding
Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne
RT @GoogleDeepMind: We built a web app that lets you fly a spaceship through a 3D constellation of music - powered by our Lyria RealTime mo…
Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne
![RT @tenderizzation: [ENG SUB] how it feels to use eager pytorch in 2025](/_next/image?url=https%3A%2F%2Fpbs.twimg.com%2Famplify_video_thumb%2F1986664821014863888%2Fimg%2FYjXBwpwwmXP75Zqk.jpg&w=3840&q=75 "RT @tenderizzation: [ENG SUB] how it feels to use eager pytorch in 2025")
RT @tenderizzation: [ENG SUB] how it feels to use eager pytorch in 2025
Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne
Why do brilliant STEM inventors (not only in deep learning) often make irrelevant inventions later in career? Is it: * Regression to mean (great ideas are rare) * Hubris/entrenchment with age * Something else? Good counterexamples? If age-related decline is real, how would this threshold shift as lifespans extend dramatically this century? Would the "peak innovation age" stay fixed or scale as a % of total lifespan?
Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne