Picogrid, which is building a hardware and software integration layer for military systems, raised a $45M Series A led by Bessemer

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Internal memo: Meta plans to start testing an AI pendant in 2027, release new AI glasses next month, start a “Wearables for Work” unit for enterprises, and more

Sponsor Posts Niantic Spatial: Drone Imagery to Physical AI — Niantic Spatial and Spexi Geospatial partner to turn drone imagery into city-scale 3D intelligence for physical AI — on demand, geometrically accurate, and ready for simulation and training. A smarter way to text customers — This is a guest post by HostMyText.Imagine

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Don't Know Where to Put Your Bird Feeder? This Is What a Wildlife Expert Recommends

If you're looking for a way to incorporate more nature into your life and have a yard, a bird feeder can be a great way to feed your local feathered friends while enjoying their colorful plumes and soothing birdsong. Nowadays, there are even smart bird feeders with cameras

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Comprehensive observability for Amazon SageMaker AI LLM inference: From GPU utilization to LLM quality | Amazon Web Services

Deploying large language models (LLMs) at scale on Amazon SageMaker AI Inference makes observability a critical pillar of any production machine learning (ML) strategy. Unlike conventional software that returns deterministic outputs, LLMs generate variable, free-form responses that are difficult to validate with standard metrics. LLM output quality can change over

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The AI agent bottleneck isn't model performance — it's permissions

Enterprise AI agents are stalling — not because of model performance, but because of permissioning. Every agentic workflow eventually hits the same wall: what is this agent allowed to touch, on whose behalf, and how does the system know? Workday's answer is to make its existing system of record

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Internal memo: Meta plans to start testing an AI pendant in 2027, release new AI glasses next month, start a “Wearables for Work” unit for enterprises, and more

Don't Know Where to Put Your Bird Feeder? This Is What a Wildlife Expert Recommends

Comprehensive observability for Amazon SageMaker AI LLM inference: From GPU utilization to LLM quality | Amazon Web Services

The AI agent bottleneck isn't model performance — it's permissions