AI (Artificial Intelligence)

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Workers report watching Ray-Ban Meta-shot footage of people using the bathroom

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Meta’s approach to user privacy is under renewed scrutiny following a Swedish report that employees of a Meta subcontractor have watched footage captured by Ray-Ban Meta smart glasses showing sensitive user content. The workers reportedly work for Kenya-headquartered Sama and provide data annotation for Ray-Ban Metas. The February report, a collaboration from Swedish newspapers Svenska

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A Coding Guide to Build a Scalable End-to-End Machine Learning Data Pipeline Using Daft for High-Performance Structured and Image Data Processing

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In this tutorial, we explore how we use Daft as a high-performance, Python-native data engine to build an end-to-end analytical pipeline. We start by loading a real-world MNIST dataset, then progressively transform it using UDFs, feature engineering, aggregations, joins, and lazy execution. Also, we demonstrate how to seamlessly combine structured data processing, numerical computation, and

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Google AI Releases a CLI Tool (gws) for Workspace APIs: Providing a Unified Interface for Humans and AI Agents

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Integrating Google Workspace APIs—such as Drive, Gmail, Calendar, and Sheets—into applications and data pipelines typically requires writing boilerplate code to handle REST endpoints, pagination, and OAuth 2.0 flows. Google AI team just released a CLI Tool (gws) for Google Workspace. The open-source googleworkspace/cli (invoked via the gws command) provides a unified, dynamic command-line interface to

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