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Monday, 12 October 2026

Simulating student learning for better AI tutoring

Microsoft 2 days ago 9

StudentSim, a research system from Microsoft Research, trained personalized AI “student simulators” from de-identified learner records and evaluated them with StudentSimEval to improve AI tutors before real learners are involved. In chess, it reached behavioral fidelity of 0.5150 and guidance responsiveness of 0.9067. Using the simulator as a training signal, the reinforcement-learning tutor hit 90.5% accuracy versus 75.7% for the non-reinforcement baseline.

With Maia 300, Microsoft Wants to Break Free From Nvidia

Trending Topics 2 days ago 43 ● 5 sources

Microsoft will scale its in-house Maia inference chips across Azure starting in 2027 to reduce reliance on Nvidia. The Maia 300 is scheduled for first production deployments in 2027, with Microsoft seeking capacity for more than 300,000 chips for that year. Microsoft is shifting AI inference for its own products onto Maia 300 hardware and expanding Maia use for model serving while waiting for independent benchmarks.

Microsoft Maia 300

Product Hunt 2 days ago 18 ● 5 sources

Microsoft launched Maia 300, its next-generation AI inference platform for long-context reasoning, low-latency conversation, and agents on Azure. It is built around 8 HBM4 stacks and 96-accelerator racks, with a claim of 40% more tokens per megawatt. Production is set to start in 2027 and Maia 300 is intended to become the main inference system for Microsoft’s products as Azure scales to multi-gigawatt deployments.

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