[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-a-4b-model-learns-to-negotiate-like-gpt-5":10,"sections":35},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},5015,"a-4b-model-learns-to-negotiate-like-gpt-5","A 4B Model Learns to Negotiate Like GPT-5","SocialRL trains a tiny 4B model to negotiate, and it now matches GPT-4.1, GPT-5.1, and GPT-5.2 on the same tasks.","A 4B model just learned to negotiate as well as systems many times its size.\n\nResearchers built SocialRL, a training recipe that reinforces social reasoning (reading a counterpart's goals, holding a position, not blurting out private information) instead of relying on a model's default helpfulness. They applied it to a 4B model across six negotiation-style domains: Deal-or-No-Deal, CaSiNo, Craigslist, Job Interview, Calendar, and Marketplace, always training and testing within the same domain. On held-out scenarios, the tuned model matched or beat the GPT-5 family in every domain, closing 73 to 122 percent of the gap between an untrained baseline and frontier performance. Buyer agents also got noticeably tougher: 78 percent opened below their target price, versus 3 percent before training.\n\nThat's the sharper finding, because the usual worry about AI agents acting on your behalf is capability, not disposition. A model trained to be endlessly helpful can leak your budget or fold at the first counteroffer. Combining the per-domain specialists into one unified 4B model, using cascade reinforcement learning and multi-teacher distillation, still hit 0.627 average utility across all six tasks, edging out GPT-4.1 (0.625), GPT-5.1 (0.619), and GPT-5.2 (0.613). The paper also found a model taught to predict what a counterpart will do next, not just copy their actions, generalizes better across negotiation types.\n\nA model that won't fold on price is great for your grocery budget, less appealing the day it's negotiating against your own agent.","[\"ai-agents\",\"negotiation\",\"reinforcement-learning\",\"small-language-models\"]","2026-08-17T04:00:00.000Z","2026-08-17T05:36:57.992Z","2026-08-17T05:37:09.805Z","published",null,[],"ai",[26,27,28,29],"ai-agents","negotiation","reinforcement-learning","small-language-models",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.13787",0,{"sections":36},[37,41,45,50,55,60,65,70,75,80,85,90,95,100],{"name":38,"slug":24,"count":39,"latest_published_at":40},"AI",3293,"2026-08-20T04:00:00.000Z",{"name":42,"slug":43,"count":44,"latest_published_at":40},"Security","security",435,{"name":46,"slug":47,"count":48,"latest_published_at":49},"Policy","policy",210,"2026-08-19T09:32:27.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",140,"2026-08-19T18:25:42.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",95,"2026-08-18T16:05:00.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Science","science",90,"2026-08-19T18:41:02.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Software","software",73,"2026-08-18T07:51:50.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Dev Tools","dev-tools",69,"2026-08-18T04:00:00.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Startups","startups",47,"2026-08-19T19:13:46.000Z",{"name":86,"slug":87,"count":88,"latest_published_at":89},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":91,"slug":92,"count":93,"latest_published_at":94},"General","general",33,"2026-08-18T22:18:13.000Z",{"name":96,"slug":97,"count":98,"latest_published_at":99},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":101,"slug":102,"count":103,"latest_published_at":104},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]