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New companies entering the market now need to build around “real workflow ownership and a clear understanding of the problem from day one,” he said. “Massive codebases are no longer an advantage. What matters more is speed, focus, and the ability to adapt quickly. Pricing also needs to be flexible: rigid per-seat models will be harder to defend, while consumption-based models make more sense in this environment.”

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Inside the M4 Apple Neural Engine, Part 1: Reverse EngineeringHow we bypassed CoreML and talked directly to the hardware

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