{"data":{"slug":"open-weights","etype":"concept","name":"Open vs Closed Weights","cat":"Core Technical","subtitle":"The industry's defining strategic split.","summary":"Open-weights models (Llama, DeepSeek, Qwen, Gemma, gpt-oss) can be downloaded, inspected and fine-tuned by anyone; closed models (GPT-5, Claude, Gemini) are reachable only through APIs. Open releases commoditize rivals, spread influence (China's open wave), and raise safety questions about irreversibility; closed models preserve control and margins. Note the vocabulary: 'open weights' is not full open source — training data and code usually stay private.","attrs":null,"kf":null,"aliases":["open source AI","open weights"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":null,"region":null,"asof":"2026-01-15","sources":[{"url":"https://opensource.org/ai","label":"Open Source Initiative on AI"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T06:34:27+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}