- Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3
Fleet-wide computer vision needs a model per camera, not one model for the whole fleet. This post presents a working Amazon SageMaker SDK v3 reference architecture that trains, quality-gates, compiles per-camera models with SageMaker Neo, and versions thousands of them, with a…
- Supabase’s Plan for a Billion AI-Built Apps
AI agents are creating more software—and that changes what a backend needs to do. Supabase co-founders Paul Copplestone and Ant Wilson join swyx to discuss running long-lived workloads alongside the database, making schemas easier for agents to underst...
- Groundhog Day for AI agents: Prompt caching patterns for using OpenAI models on Amazon Bedrock
Every time an agent takes a step, it re-reads its entire context before acting. Here is how prompt caching for OpenAI models on Amazon Bedrock lets your agent remember, cutting input cost and latency without resending the same tools, instructions, and history every turn.
- Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK
Build enterprise agentic retrieval on a Managed Amazon Bedrock Knowledge Base with the AWS CDK: an agent that routes across two knowledge bases, retrieves through the AgentCore Gateway, and returns grounded, cited answers, with seven layers of observability and both on-demand …
- Using AI Agents to Teach Robots to Walk in Simulation #NVIDIAGTC #Microducks #Robotics
🦆 Put AI agents to work to help your robot learn to navigate. Using Microduck as the reference robot, this walkthrough shows how to create a simulated obstacle course with OpenAI GPT-6 Astra, build 3D assets with NVIDIA Omniverse libraries, simulate physics with Newton, train…
- Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI Networks
At the 2026 Open Compute Project (OCP) Global Summit, Meta shared the networking innovations that are directly supporting our latest AI models, including Muse Wonder and Muse Spark, and our gigawatt-scale Prometheus cluster. Highlights IcePack & IceCube: Meta’s first liquid-co…
- How NVIDIA Minerva Turns Telemetry Chaos Into Peak GPU Yield
AI Factories are some of the most technologically complex operational environments ever created. Hundreds of thousands of GPUs, NVIDIA Spectrum-X Ethernet... AI Factories are some of the most technologically complex operational environments ever created. Hundreds of thousands …
- Our newest AI Quest: Mapping the human brain
Learn AI literacy via Google’s latest AI Quests lesson on neuroscience, “Polar Peaks.”
- Anthropic files S-1 with the SEC for proposed initial public offering
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
- How NVIDIA Mission Control 2.5 Brings Autonomous Recovery to Kubernetes
Training large-scale AI models on thousands of GPUs is a high-stakes operation where monitoring and automation must be built-in to optimize cluster resiliency... Training large-scale AI models on thousands of GPUs is a high-stakes operation where monitoring and automation must…
- The media industry is becoming a prediction economy
For two decades, media and advertising ran on attention. Impressions, reach and clicks...
- Generative AI’s make-or-break week?
We may know a lot more, soon
- Import AI 478: Math for alignment; ProgramBench; and Mirendil shows what RSI means
What is “night” to a machine?
- PyTorch opens the AI ecosystem to a new accelerator class
IBM has made Spyre a first-class PyTorch backend, giving developers the same workflows across devices.
- ChatGPT’s expanding world of work
Explore OpenAI Signals data on 165 work activities across nearly 100 countries, revealing how people use ChatGPT for work and how usage changes over time.
- How Fanatics and OpenAI streamline the fan experience
Fanatics uses OpenAI to help fans complete their game-day outfits with Shop the Look. Testing across roughly 30,000 MLB products showed 10% higher engagement.