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Researchers Uncover Chrome Extensions Abusing Affiliate Links and Stealing ChatGPT Access The Hacker Newsinfo@thehackernews.com (The Hacker News)

Cybersecurity researchers have discovered malicious Google Chrome extensions that come with capabilities to hijack affiliate links, steal data, and collect OpenAI ChatGPT authentication tokens. One of the extensions in question is Amazon Ads Blocker (ID: pnpchphmplpdimbllknjoiopmfphellj), which claims to be a tool to browse Amazon without any sponsored content. It was uploaded to the Chrome Read […]

Daily AI News
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Why Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the “Bag of Agents” Towards Data Science

Why Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the “Bag of Agents”Towards Data Science Hard-won lessons on how to scale agentic systems without scaling the chaos, including a taxonomy of core agent types.
The post Why Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the “Bag of Agents” appeared first on Towards Data Science.

 Hard-won lessons on how to scale agentic systems without scaling the chaos, including a taxonomy of core agent types.
The post Why Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the “Bag of Agents” appeared first on Towards Data Science. Read More  

Daily AI News
Simplify ModelOps with Amazon SageMaker AI Projects using Amazon S3-based templates Artificial Intelligence

Simplify ModelOps with Amazon SageMaker AI Projects using Amazon S3-based templates Artificial Intelligence

Simplify ModelOps with Amazon SageMaker AI Projects using Amazon S3-based templatesArtificial Intelligence This post explores how you can use Amazon S3-based templates to simplify ModelOps workflows, walk through the key benefits compared to using Service Catalog approaches, and demonstrates how to create a custom ModelOps solution that integrates with GitHub and GitHub Actions—giving your team one-click provisioning of a fully functional ML environment.

 This post explores how you can use Amazon S3-based templates to simplify ModelOps workflows, walk through the key benefits compared to using Service Catalog approaches, and demonstrates how to create a custom ModelOps solution that integrates with GitHub and GitHub Actions—giving your team one-click provisioning of a fully functional ML environment. Read More  

Daily AI News
Scale AI in South Africa using Amazon Bedrock global cross-Region inference with Anthropic Claude 4.5 models Artificial Intelligence

Scale AI in South Africa using Amazon Bedrock global cross-Region inference with Anthropic Claude 4.5 models Artificial Intelligence

Scale AI in South Africa using Amazon Bedrock global cross-Region inference with Anthropic Claude 4.5 modelsArtificial Intelligence In this post, we walk through how global cross-Region inference routes requests and where your data resides, then show you how to configure the required AWS Identity and Access Management (IAM) permissions and invoke Claude 4.5 models using the global inference profile Amazon Resource Name (ARN). We also cover how to request quota increases for your workload. By the end, you’ll have a working implementation of global cross-Region inference in af-south-1.

 In this post, we walk through how global cross-Region inference routes requests and where your data resides, then show you how to configure the required AWS Identity and Access Management (IAM) permissions and invoke Claude 4.5 models using the global inference profile Amazon Resource Name (ARN). We also cover how to request quota increases for your workload. By the end, you’ll have a working implementation of global cross-Region inference in af-south-1. Read More