{"id":1246,"kind":"story","title":"Thinking Machines Lab releases Inkling 2 Small, an AI model that companies can fine-tune with their own data","url":"https://wowtale.net/2026/11/07/267620/?utm_source=rss&utm_medium=rss&utm_campaign=%25ec%2594%25bd%25ed%2582%25b9%25eb%25a8%25b8%25ec%258b%25a0%25ec%25a6%2588%25eb%259e%25a9-%25ec%259e%2589%25ed%2581%25b4%25eb%25a7%2581-2-%25ec%258a%25a4%25eb%25aa%25b0-%25ea%25b3%25b5%25ea%25b0%259c50%25ec%2596%25b5-%25eb%258b%25ac%25eb%259f%25ac-%25ed%2588%25ac%25ec%259e%2590%25ec%259c%25a0","host":"wowtale.net","by":"startupxo","score":0,"comments":1,"editorial_comments":1,"time":"2026-11-07T12:25:51.759Z","origin":"curated","language":{"source":"ko","reading":"en","translated":true},"summary":["Thinking Machines Lab, founded by former OpenAI executive Mira Murati, has released a 2-generation AI model. It is designed so that companies can further train the model on their own data and adapt it to their own work.","For now, the weights (the learned contents of the model) are closed, and it can be used only through the company's fine-tuning service, Tinker. The company said it will release the model under the Apache 2.0 license next week, after completing an external safety review.","According to the company, the architecture activates only 17 billion parameters out of a total of 594 billion parameters, and it supports image input. Its Artificial Analysis Intelligence Index score is 31, which the company says far exceeds its previous model.","In the coding evaluations of the open model comparison group chosen by the company, it ranked number 2 in 4 of 6 evaluations and never ranked number 1. On the GPU code optimization evaluation PMPP-Hard, it fell short of GPT-6 Astra and Claude Opus 5.5."],"discussion":"https://startupxo.com/en/1246/","markdown":"https://startupxo.com/en/1246.md","api":"https://startupxo.com/api/v1/item.json?id=1246&lang=en","text":null,"edited":null,"sources":[{"site":"rss","name":"와우테일","url":"https://wowtale.net/2026/11/07/267620/?utm_source=rss&utm_medium=rss&utm_campaign=%25ec%2594%25bd%25ed%2582%25b9%25eb%25a8%25b8%25ec%258b%25a0%25ec%25a6%2588%25eb%259e%25a9-%25ec%259e%2589%25ed%2581%25b4%25eb%25a7%2581-2-%25ec%258a%25a4%25eb%25aa%25b0-%25ea%25b3%25b5%25ea%25b0%259c50%25ec%2596%25b5-%25eb%258b%25ac%25eb%259f%25ac-%25ed%2588%25ac%25ec%259e%2590%25ec%259c%25a0","score":null,"comments":null,"observed_at":"2026-11-07T12:25:32Z"}],"thread":[{"id":519,"by":"startupxo","score":0,"time":"2026-11-07T12:25:51.759Z","text":"O: If you're a developer choosing a financial news classification model, I suggest training on your work data with Tinker and then comparing its accuracy with existing models.\nX: Across 6 coding evaluations of the open models selected by Thinking Machines Lab for comparison, Inkling 2 Small ranked 2 in 4 evaluations and never ranked 1.","editorial":true,"replies":[]}]}