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The interesting part is not that an AI agent can talk to a hotel receptionist. It is that the conversation ends with a canceled reservation and a saved confirmation number. Voice AI is moving from answering questions to completing tasks.

You see a cup and pick it up without even thinking about it. A robot? A VLA model can help it do something similar. But how does that work? A robot must do more than describe an action. It has to carry it out in the physical world, where the cup really is. Microblog @antgrasso A Vision-Language-Action (VLA) model connects what the robot sees with an instruction such as "Pick up the red cup" and generates actions that its control system can execute. Now move the cup a little to the left. The instruction is the same, but the required movement changes. The robot has to respond to the position of the cup rather than repeat a fixed motion. We also use vision to guide our hands, although our brains and robotic control systems work differently. #Robotics #PhysicalAI #VLA

A shared AI gateway can help standardize technical controls, but responsibility still belongs to the people who define those rules and oversee their enforcement.

As AI apps use more models and tools, visibility and control become harder. TrueFoundry AI Gateway helps teams monitor usage and enforce policies. Book a demo: truefoundryemea.link/book-a-… In partnership with @truefoundry #AIObservability

AI ambition alone is not enough. As McKinsey suggests, CEOs need to make strategic choices based on what makes their business distinctive and rethink how people and AI agents work together. Leadership determines how far AI can go. Source @McKinsey via @antgrasso