We're launching two specialized TPUs for the agentic era.
Google launches two specialized Tensor Processing Units (TPUs) designed for the 'agentic era' of AI, aiming to accelerate complex AI workloads.
Read on Google AI Blog →
Meta is using a new internal tool to collect employee keystrokes and mouse movements to train its AI models.
Why it matters
This development highlights Meta's aggressive approach to leveraging internal data for AI advancement. By using employee interaction data, Meta aims to create more sophisticated and responsive AI models, potentially impacting user experience across its platforms. However, it also raises significant privacy concerns regarding employee data collection and usage within a corporate environment.
Meta is watching how its employees use their computers, like what they click and type, to make its AI smarter. This helps their AI learn how people actually use technology.
Google launches two specialized Tensor Processing Units (TPUs) designed for the 'agentic era' of AI, aiming to accelerate complex AI workloads.
Read on Google AI Blog →Google Cloud has signed a multi-billion-dollar deal with Mira Murati's Thinking Machines Lab for AI infrastructure powered by Nvidia's GB300 chips.
Read on TechCrunch →Google Maps is integrating generative AI to enhance user experience.
Read on TechCrunch →