AI

Today, Amazon SageMaker HyperPod is announcing a new one-click, validated cluster creation experience that accelerates setup and prevents common misconfigurations, so you can launch your distributed training and inference clusters complete with Slurm or Amazon Elastic Kubernetes Service (Amazon EKS) orchestration, Amazon Virtual Private Cloud (Amazon VPC) networking, high-performance storage, and security built in by […]

As concerns grow about AI chatbots leading users into delusional spirals, prominent spiritual influencers are capitalizing on an emerging form of techno-spirituality.

Online gambling is a massive industry. The AI boom keeps booming. It was only a matter of time before people tried to put them together.

WIRED talks to the director of the Chilean National Center for Artificial Intelligence about Latam-GPT, the large-language model that aims to address the region’s specific needs and change the current technological dynamic.

On this episode of Uncanny Valley, we look back at the week’s biggest stories—from the researchers leaving Meta’s new superintelligence lab, to the dark money group funding Democratic influencers.

This post was co-written with Nick Frichette and Vijay George from Datadog.  As organizations increasingly adopt Amazon Bedrock for generative AI applications, protecting against misconfigurations that could lead to data leaks or unauthorized model access becomes critical. The AWS Generative AI Adoption Index, which surveyed 3,739 senior IT decision-makers across nine countries, revealed that 45%

When deploying AI agents to Amazon Bedrock AgentCore Runtime (currently in preview), customers often want to use custom domain names to create a professional and seamless experience. By default, AgentCore Runtime agents use endpoints like https://bedrock-agentcore.{region}.amazonaws.com/runtimes/{EncodedAgentARN}/invocations. In this post, we discuss how to transform these endpoints into user-friendly custom domains (like https://agent.yourcompany.com) using Amazon CloudFront

Today, we’re excited to announce that Amazon SageMaker HyperPod now supports managed node automatic scaling with Karpenter, so you can efficiently scale your SageMaker HyperPod clusters to meet your inference and training demands. Real-time inference workloads require automatic scaling to address unpredictable traffic patterns and maintain service level agreements (SLAs). As demand spikes, organizations must

A partnership between xAI and the US government fell apart earlier this summer. Then the White House apparently got involved, per documents obtained by WIRED.

This post is co-written with Julieta Rappan, Macarena Blasi, and María Candela Blanco from the Government of the City of Buenos Aires. The Government of the City of Buenos Aires continuously works to improve citizen services. In February 2019, it introduced an AI assistant named Boti available through WhatsApp, the most widely used messaging service