--- title: RT @rryssf_: Meta FAIR just solved the "cold start"... description: Meta FAIR claims to have solved the 'cold start' problem in LLM training, where standard reinforcement learning techniques fail when a model scores 0/128 on... canonical: https://daily.dev/posts/rt-rryssf-meta-fair-just-solved-the-cold-start-problem-in-llm-training-when-a-model-scores-0-1-ur1h836lp twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: RT @rryssf_: Meta FAIR just solved the "cold start" problem in LLM training when a model scores 0/128 on hard math problems, standard RL t… | daily.dev og:description: Meta FAIR claims to have solved the 'cold start' problem in LLM training, where standard reinforcement learning techniques fail when a model scores 0/128 on... og:url: https://daily.dev/posts/rt-rryssf-meta-fair-just-solved-the-cold-start-problem-in-llm-training-when-a-model-scores-0-1-ur1h836lp og:image: https://api.daily.dev/og/posts/uR1H836LP.png og:image:alt: RT @rryssf_: Meta FAIR just solved the "cold start" problem in LLM training when a model scores 0/128 on hard math problems, standard RL t… og:image:width: 1200 og:image:height: 630 og:locale: en --- [Robert Youssef](https://daily.dev/sources/rryssf%5F) [Read on](https://api.daily.dev/r/uR1H836LP) Feb 25 • From x.com  Robert Youssef @rryssf\_ RT @rryssf\_: Meta FAIR just solved the "cold start" problem in LLM training when a model scores 0/128 on hard math problems, standard RL t… Comment Bookmark Copy Share your thoughts Post Share this post [](https://daily.dev/sources/rryssf%5F) [Robert Youssef](https://daily.dev/sources/rryssf%5F "https://daily.dev/sources/rryssf_") 0 Followers • 6 Upvotes #### Would you recommend this post? Copy link Slack WhatsApp Facebook X New Squad Copy linkShare with your friends ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"RT @rryssf_: Meta FAIR just solved the \"cold start\" problem in LLM training\n\nwhen a model scores 0/128 on hard math problems, standard RL t…","url":"https://daily.dev/posts/rt-rryssf-meta-fair-just-solved-the-cold-start-problem-in-llm-training-when-a-model-scores-0-1-ur1h836lp","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/rt-rryssf-meta-fair-just-solved-the-cold-start-problem-in-llm-training-when-a-model-scores-0-1-ur1h836lp"},"datePublished":"2026-02-25T19:11:59.874Z","dateModified":"2026-02-26T14:11:55.842Z","description":"Meta FAIR claims to have solved the 'cold start' problem in LLM training, where standard reinforcement learning techniques fail when a model scores 0/128 on...","image":"https://media.daily.dev/image/upload/s--58gMhC4P--/f_auto/v1722860399/public/Placeholder%2012","thumbnailUrl":"https://media.daily.dev/image/upload/s--58gMhC4P--/f_auto/v1722860399/public/Placeholder%2012","isAccessibleForFree":true,"articleSection":"Robert Youssef","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Robert Youssef","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/cd13aa4e85c346c5904f12ec6310cc23","url":"https://daily.dev/sources/rryssf_"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/rt-rryssf-meta-fair-just-solved-the-cold-start-problem-in-llm-training-when-a-model-scores-0-1-ur1h836lp","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,llm,reinforcement-learning"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Robert Youssef","item":"https://daily.dev/sources/rryssf_"},{"@type":"ListItem","position":3,"name":"RT @rryssf_: Meta FAIR just solved the \"cold start\" problem in LLM training\n\nwhen a model scores 0/128 on hard math problems, standard RL t…"}]} ```