Google Discover is getting an AI chatbot-tuned feed
Google will soon allow you to customize your Discover feed by describing what you want to see. The new feature, rolling out to the Google…
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Introducing cross-Region inference for OpenAI GPT-5.6 models on Amazon Bedrock
Amazon Bedrock now offers OpenAI GPT-5.6 models (Sol, Terra, and Luna) in more than 25 AWS Regions with cross-Region inference. Learn how US geographic and global inference profiles route requests for higher throughput, how to call the models with the OpenAI and Converse APIs, and how to configure IAM, quotas, and monitoring.
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Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment
Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this series, you set up your AWS account and Snowflake environment for a no-code ML workflow with Amazon SageMaker Canvas, laying the foundation for building a fraud detection model without writing code.
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Ver preçosBuild a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and model building with Amazon SageMaker Canvas
In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGBoost fraud detection model. All without writing machine learning code, laying the groundwork for interactive dashboards in Part 3.
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Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with Amazon Quick Sight
In Part 3 of this no-code ML series, you bring fraud detection predictions to life. Import your Amazon SageMaker Canvas predictions into Amazon Quick Sight, build interactive dashboards, use generative BI to answer questions in natural language, and publish AI-generated executive summaries for stakeholders.
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Ok, can we actually cool data centers with our pee?
Jason Kelce joked that people should cool data centers with their pee, rather than potable water -- his suggestion is not completely ludicrous.
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Google gives publishers a new way to fight AI-driven traffic losses
Google is giving publishers a new button that lets readers make them a preferred source across Search, Discover, and Google News, potentially boosting their traffic…
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Runlayer, Rippling drop lawsuits. But the brouhaha is still a cautionary tale for founders.
Runlayer and Rippling have dropped their lawsuits. No money was paid. Rippling celebrated by releasing a competing product.
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Linkdaze’s smart calendar is built to run a household, not just track a schedule
Linkdaze's smart digital calendar stands out for not putting its features behind a paywall, including an AI meal planner tool.
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Grok keeps sending gibberish responses to users
Affected users told TechCrunch say they were using Grok Lite, and noticed the issues as early as Wednesday morning.
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A third of webpages published since ChatGPT’s launch show signs of AI authorship, study finds
ChatGPT and other AI models are now authoring and editing much of the new web.
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Ramp launches its own AI model router, called Router
Ramp has launched its own AI model routing service, dubbed Router, that lets users and companies use and switch between various large language models via…
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Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore
AI agents can take actions that do not match your organization's policies. Policy in Amazon Bedrock AgentCore lets teams enforce controls across agents, now including time-based constraints. This post shows how Policy Authoring turns natural-language policy documents into correct Dogwood policies, with worked examples and best practices.
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Scaling agentic AI: Enterprise patterns without vendor lock-in
Scaling agentic AI across an enterprise requires patterns that preserve flexibility while avoiding vendor lock-in. In this second post of our multi-agent series, we examine how ML teams operate many agentic AI systems across a multi-everything environment of frameworks, models, and providers, and the principles that let those systems scale together.
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Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore
Learn how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Purpose-built AI agents handle discovery, infrastructure as code generation, portfolio governance, and post-migration operations, reducing IaC development time from weeks to minutes.
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Meta brings Pocket, an app that lets you vibe-code and share games, to US users
Meta is bringing Pocket, its experimental AI-powered app for creating and sharing interactive games, to users across the U.S. after quietly testing it in Brazil.
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AWS vector solutions: Build agentic AI where your data lives
AWS offers a broad portfolio of vector search built directly into the databases and storage services you already use, with no standalone vector database or data migration required. This post covers six purpose-built services, a decision framework for choosing the right engine, and customer proof points for each.
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Inertia Enterprises finds a way to make its fusion fuel fast
Fusion power startup Inertia Enterprises reduced the fuel filling process from a week to just a few hours. It's one of ten hurdles the company…
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It’s Greg Brockman’s OpenAI now
OpenAI has had a hell of a year. The company spent months battling former co-founder Elon Musk in a sensational jury trial, was hit with…
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