Inkling 登场——“未经校准”的模型实际上是种功能吗？
mira murati 的 thinking machines lab 发布了 inkling，这是一个 975b 参数的开权模型，会标记不确定性而非猜测。它针对的是那些厌倦了付费专有模型却让数据被吞噬且无法获得定制价值的企业。
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.