For years, AI progress has been narrated as a horse race: larger models, higher benchmark scores, more expensive clusters. This week broke that frame. The most consequential developments were not simply advances in intelligence; they were competing answers to a deeper question: Who gets to possess, adapt and govern it' Thinking Machines Lab entered the model arena with Inkling, a 975-billion-parameter mixture-of-experts model with 41 billion active parameters, native text, image and audio inputs, a one-million-token context window, open weights and an Apache 2.0 license. The company's emphasis on calibration, controllable reasoning effort and customization is more interesting than any leaderboard placement. Inkling is a wager that the next frontier will be models people can shape around their own judgment'not merely rent from a centralized oracle. Moonshot AI pushed in the opposite direction on scale while converging on the same politics of access. Kimi K3 carries 2.8 trillion...
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