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The enterprise AI honeymoon with full autonomy may be ending. Companies deploying AI agents in real production environments are finding that less independence, not more, tends to produce better results. The firms seeing genuine gains are keeping humans closer in the loop, constraining what agents can decide on their own, and treating autonomy as something earned incrementally rather than granted by default.
From the frontier of AI training, Prime Intellect is pushing the boundaries of how fast a language model can be built from scratch. Their NanoGPT speedrun research tracks competitive attempts to train a capable model as quickly as possible, turning what was once a slow and expensive process into something closer to a benchmark sport. It's a window into just how rapidly the engineering around AI is compressing.
And Harvard Business School is charging six hundred ninety nine dollars for a startup bootcamp where some of the instruction comes from AI avatars of actual faculty. The avatars offer feedback during pitch practice and simulated board meetings. It raises a fair question about what you're really paying for when the professor in the room isn't entirely there.
Those are your top stories today. Keep surfing. Tech Beat out.
