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News Feed Ranking in Three Minutes Flat - meta.com
News Feed Ranking in Three Minutes Flat meta.com
AI and compute
We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.4-month doubling time (by comparison, Moore’s Law had a 2-year doubling period)[^footnote-correction]. Since 2012, this metric has grown by more than 300,000x (a 2-year doubling period would yield only a 7x increase). Improvements in compute have been a key component of AI progress, so as long as this trend continues, it’s worth preparing for...
AI and compute
We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.4-month doubling time (by comparison, Moore’s Law had a 2-year doubling period)[^footnote-correction]. Since 2012, this metric has grown by more than 300,000x (a 2-year doubling period would yield only a 7x increase). Improvements in compute have been a key component of AI progress, so as long as this trend continues, it’s worth preparing for...
Facebook Publishes Enforcement Numbers for the First Time - meta.com
Facebook Publishes Enforcement Numbers for the First Time meta.com
AI safety via debate
We’re proposing an AI safety technique which trains agents to debate topics with one another, using a human to judge who wins.
AI safety via debate
We’re proposing an AI safety technique which trains agents to debate topics with one another, using a human to judge who wins.
Evolved Policy Gradients
We’re releasing an experimental metalearning approach called Evolved Policy Gradients, a method that evolves the loss function of learning agents, which can enable fast training on novel tasks. Agents trained with EPG can succeed at basic tasks at test time that were outside their training regime, like learning to navigate to an object on a different side of the room from where it was placed during training.
Evolved Policy Gradients
We’re releasing an experimental metalearning approach called Evolved Policy Gradients, a method that evolves the loss function of learning agents, which can enable fast training on novel tasks. Agents trained with EPG can succeed at basic tasks at test time that were outside their training regime, like learning to navigate to an object on a different side of the room from where it was placed during training.
Gotta Learn Fast: A new benchmark for generalization in RL
Gotta Learn Fast: A new benchmark for generalization in RL
Facebook Launches New Initiative to Help Scholars Assess Social Media’s Impact on Elections - meta.com
Facebook Launches New Initiative to Help Scholars Assess Social Media’s Impact on Elections meta.com
Making Ads and Pages More Transparent - meta.com
Making Ads and Pages More Transparent meta.com
Retro Contest
We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to generalize from previous experience.
Amazon News: Breaking news about Amazon and latest company updates - About Amazon
Amazon News: Breaking news about Amazon and latest company updates About Amazon
Authenticity Matters: The IRA Has No Place on Facebook - meta.com
Authenticity Matters: The IRA Has No Place on Facebook meta.com
Tesla START - Tesla
Tesla START Tesla