{"ok":true,"trend":{"id":2118905,"platform":"mastodon","region":"global","key":"how does chatgpt actually work? your prompt is broken into tokens. a transformer uses attention to process the context,","title":"How does ChatGPT actually work? Your prompt is broken into tokens. A Transformer uses attention to process the context,","url":"https://mastodon.social/@nexthorizon/117434087917462264","first_seen":"2026-10-13T14:48:59.975964Z","last_seen":"2026-10-13T14:58:17.962456Z","last_rank":6,"peak_rank":2,"last_volume":3,"peak_volume":3,"seen_count":2,"score":64.77,"category_hint":"science","section":"technology","category":"technology","summary":"A technical explainer breaking down ChatGPT's inner workings is circulating among technology enthusiasts. It describes how a prompt is split into tokens, how the Transformer architecture uses attention to process context, and how the model then generates its answer token by token. The core mechanism behind modern large language models is described as powerful and flexible, though still prone to hallucinations, prompting discussion about both the strengths and limits of generative AI.","why":"Public curiosity about how large language models work continues to grow as AI tools spread.","tone":"neutral","entities":["ChatGPT","OpenAI","Transformer"],"summarized_at":"2026-10-13T14:49:25.967637Z","meta":{"tag":"science","via":"scan","kind":"status","lang":"en","instance":"mastodon.social","tag_uses":656},"nw":null,"promo":null,"kind":null,"importance":null,"hidden":false,"hide_reason":null,"judged_at":null,"title_en":"A Simple Explanation of How ChatGPT Works","section_name":"Technology","category_name":"Technology","timeline":[{"captured_at":"2026-10-13T14:48:59.975964Z","rank":2,"volume":3},{"captured_at":"2026-10-13T14:58:17.962456Z","rank":6,"volume":3}],"posts":[{"platform":"mastodon","url":"https://mastodon.social/@nexthorizon/117434087917462264","author":"nexthorizon","title":null,"snippet":"How does ChatGPT actually work? Your prompt is broken into tokens. A Transformer uses attention to process the context, then the model generates the response token by token. That is the core idea behind modern LLMs — powerful, flexible and still capable of hallucinations.…","posted_at":"2026-10-13T14:32:56.282000Z","likes":3}],"elsewhere":[],"window":"7d"}}