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Current and former Block workers say AI can’t do their jobs after Jack Dorsey’s mass layoffs: ‘You can’t really AI that’

The CEO said he cut the company’s workforce by 4,000 people – almost in half – because of gains in AI productivityMark remembers the first time he wondered whether he was teaching Block’s AI tools how to do his job – and maybe even replace him. He was at his fintech company’s extravagant anniversary party […]

Current and former Block workers say AI can’t do their jobs after Jack Dorsey’s mass layoffs: ‘You can’t really AI that’ Read More »

Tech oligarchs reshape humanity while billionaires of old seem quaint

From Gates to Musk and Altman, today’s ultra-rich steer AI and tech, raising questions about who decides the futureWhen Bill Gates became the first modern IT mogul to reach the apex of wealth and power in 1992, the world was a very different place. Gates joined the top 10 on Forbes magazine’s billionaires list alongside

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How to Build Progress Monitoring Using Advanced tqdm for Async, Parallel, Pandas, Logging, and High-Performance Workflows

In this tutorial, we explore tqdm in depth and demonstrate how we build powerful, real-time progress tracking into modern Python workflows. We begin with nested progress bars and manual progress control, then move into practical scenarios such as streaming downloads, pandas data processing, parallel execution, structured logging, and asynchronous tasks. Throughout this tutorial, we focus

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Yann LeCun’s New AI Paper Argues AGI Is Misdefined and Introduces Superhuman Adaptable Intelligence (SAI) Instead

What if the AI industry is optimizing for a goal that cannot be clearly defined or reliably measured? That is the central argument of a new paper by Yann LeCun, and his team, which claims that Artificial General Intelligence has become an overloaded term used in inconsistent ways across academia and industry. The research team

Yann LeCun’s New AI Paper Argues AGI Is Misdefined and Introduces Superhuman Adaptable Intelligence (SAI) Instead Read More »

What does the US military’s feud with Anthropic mean for AI used in war?

Tech policy professor who served in US air force explains how a feud between an AI startup and the US military illuminates ethical fault linesAnthropic’s ongoing fight with the Department of Defense over what safety restrictions it can put on its artificial intelligence models has captivated the tech industry, acting as a test of how

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‘It means missile defence on data centres’: drone strikes raises doubts over Gulf as AI superpower

Iran’s targeting of commercial datacentres in the UAE and Bahrain signals a new frontier in asymmetric warfareIt is believed to be a first: the deliberate targeting of a commercial datacentre by the armed forces of a country at war.At 4.30am on Sunday morning, an Iranian Shahed 136 drone struck an Amazon Web Services datacentre in

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Indonesia to ban social media for children under 16

Platforms include YouTube, TikTok and Instagram as communication minister says ‘our children face real threats’Indonesia will ban social media for children under 16, its communication and digital affairs minister said on Friday.Meutya Hafid said in a statement to media said that she signed a government regulation that will mean children under the age of 16

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Google Launches TensorFlow 2.21 And LiteRT: Faster GPU Performance, New NPU Acceleration, And Seamless PyTorch Edge Deployment Upgrades

Google has officially released TensorFlow 2.21. The most significant update in this release is the graduation of LiteRT from its preview stage to a fully production-ready stack. Moving forward, LiteRT serves as the universal on-device inference framework, officially replacing TensorFlow Lite (TFLite). This update streamlines the deployment of machine learning models to mobile and edge

Google Launches TensorFlow 2.21 And LiteRT: Faster GPU Performance, New NPU Acceleration, And Seamless PyTorch Edge Deployment Upgrades Read More »

Microsoft Releases Phi-4-Reasoning-Vision-15B: A Compact Multimodal Model for Math, Science, and GUI Understanding

Microsoft has released Phi-4-reasoning-vision-15B, a 15 billion parameter open-weight multimodal reasoning model designed for image and text tasks that require both perception and selective reasoning. It is a compact model built to balance reasoning quality, compute efficiency, and training-data requirements, with particular strength in scientific and mathematical reasoning and understanding user interfaces. https://arxiv.org/pdf/2603.03975 What the

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A Production-Style NetworKit 11.2.1 Coding Tutorial for Large-Scale Graph Analytics, Communities, Cores, and Sparsification

In this tutorial, we implement a production-grade, large-scale graph analytics pipeline in NetworKit, focusing on speed, memory efficiency, and version-safe APIs in NetworKit 11.2.1. We generate a large-scale free network, extract the largest connected component, and then compute structural backbone signals via k-core decomposition and centrality ranking. We also detect communities with PLM and quantify

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