Inkling 登場——「未經校準」的模型實際上是種功能嗎？
mira murati 的 thinking machines lab 發布了 inkling，這是一個 975b 參數的開權模型，會標記不確定性而非猜測。它針對的是那些厭倦了付費專有模型卻讓資料被吞噬且無法獲得定制價值的企業。
thinking machines lab launched inkling, a 975 billion parameter open-weight model that activates roughly 41 billion parameters per task to maintain efficiency. trained on 45 trillion tokens of text, image, audio, and video, the model focuses on calibrated responses and native reasoning across modalities rather than raw benchmark dominance. the company pitches this as a direct alternative to proprietary 'black box' models, allowing enterprises to fully customize and own their ai stack. this move aligns with predictions from industry leaders like microsoft's satya nadella and hugging face's clem delangue, who anticipate a shift from general frontier models to specialized, company-tuned open alternatives.