[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-gpt-4-learns-a-distinction-humans-are-born-knowing":10,"sections":34},{"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":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},3955,"gpt-4-learns-a-distinction-humans-are-born-knowing","GPT-4 Learns a Distinction Humans Are Born Knowing","A new study finds that GPT-4 is the first language model to grasp the difference between a rule that defines a category and one that merely describes it.","GPT-4 can tell the difference between \"tigers are striped\" and \"cars have radios\" — and that turns out to be a harder problem than it sounds.\n\nResearchers tested whether language models could distinguish between principled properties, traits that are true because something belongs to a category, and statistical ones, traits that just happen to be common among members. The gap matters: a tiger without stripes is still a tiger; a car without a radio is still a car. Humans track this distinction almost automatically. Every language model tested struggled with it, controlling for how often a property appeared in text — until GPT-4, which handled it correctly.\n\nThe finding cuts against a long-standing assumption in cognitive science that this principled-vs-statistical distinction is innate and cannot be acquired from experience alone. If GPT-4 learned it from text, that suggests the signal is present in language and that sufficiently large models can extract sophisticated causal structure without grounding in the physical world. It also raises a quieter point: what other supposedly unlearnable conceptual distinctions might fall the same way as models scale?\n\nThat said, one model passing one benchmark is not a theory of mind — it is a data point, and the field has learned to be cautious about what benchmark performance actually tells us about internal representations.","[\"ai\",\"language models\",\"cognitive science\",\"research\"]","2026-07-07T04:00:00.000Z","2026-07-07T13:10:31.344Z","2026-07-07T13:10:34.456Z","published",null,[],"ai",[24,26,27,28],"language models","cognitive science","research",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.04523",0,{"sections":35},[36,40,45,50,55,60,65,70,75,79,84,88,93,98],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":44},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":46,"slug":47,"count":48,"latest_published_at":49},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":18},"Dev Tools","dev-tools",59,{"name":80,"slug":81,"count":82,"latest_published_at":83},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":85,"slug":86,"count":82,"latest_published_at":87},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":89,"slug":90,"count":91,"latest_published_at":92},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":94,"slug":95,"count":96,"latest_published_at":97},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":99,"slug":100,"count":101,"latest_published_at":102},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]