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Uvi semantic-layer, knowledge-graph approach

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“Developers are paying frontier prices for amnesia”: Uvi wants to stop the agent relearning brain drain The New Stack · 16 hours ago · 45

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October 2026

Uvi raises $7.5 million to build an infrastructure layer that helps AI agents reuse enterprise business context at lower cost Funding

16 Oct “Developers are paying frontier prices for amnesia”: Uvi wants to stop the agent relearning brain drain

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TLDRocket 17 October 2026

Microsoft used today’s announcement to zoom in on what matters in scaling: not just raw capability, but the plumbing behind it. The company revealed MAI-Base-2, a 2T-parameter base model designed to be converted into full LLMs with additional training. Per Microsoft, only 80B parameters activate per prompt, and the training run ate 50T tokens over 38 days using 16,000 Nvidia GB200 GPUs. The headline claim: MAI-Base-2 is up to 12× more hardware-efficient than its predecessors, a metric that will matter to anyone trying to keep inference costs from swallowing margin.

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