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Nothing Phone 4a Pro review: premium aluminium meets quirky design

Mid-range Android stands out with huge screen, slick software and dot-matrix display, but falls just short of greatnessNothing’s latest quirky smartphone is a huge aluminium Android with three cameras and a big LED matrix screen on the back that challenges the notion mid-range phones can’t be just a bit more fun.The Phone 4a Pro is […]

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More than 100 UK datacentres plan to burn gas to generate electricity

Requests for gas connections by operators amount to more than 15 terawatt hours per year, endangering climate targetsMore than 100 new datacentres in the UK plan to burn gas to generate electricity, some potentially doing so permanently.British officials say this is an inevitable consequence of a years-long wait to connect to the National Grid, and

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A Coding Implementation to Compress and Benchmark Instruction-Tuned LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor

In this tutorial, we explore how to apply post-training quantization to an instruction-tuned language model using llmcompressor. We start with an FP16 baseline and then compare multiple compression strategies, including FP8 dynamic quantization, GPTQ W4A16, and SmoothQuant with GPTQ W8A8. Along the way, we benchmark each model variant for disk size, generation latency, throughput, perplexity,

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The Guardian view on policing the internet: Ofcom must pusher harder on illegal content | Editorial

Jess Phillips’ frustration about online safety highlights the alarming reluctance to confront big techThe £950,000 fine imposed by Ofcom on a US-based suicide forum that is implicated in over 160 UK deaths marks an intensification of the regulator’s efforts to make the internet safer. Campaigners against online harms, including relatives of people who have taken

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Rowing through the fog: how to increase your tolerance for uncertainty

Journalist Simone Stolzoff in a new book explores why modern life makes not knowing harder – and how to learn to live with itSimone Stolzoff describes himself as “naturally an uncertain person” inclined to rumination and self-doubt. This tendency benefits him in his work as a journalist, but can otherwise be a double-edged sword.While working

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‘Nobody’s negotiating for the people here’: comedian Charlie Berens takes on AI datacenters

Known for his ‘Manitowoc Minute’ skits and midwestern humor, the journalist turned comedian is speaking out against the AI datacenter boom in WisconsinLast summer, journalist turned comedian Charlie Berens started getting social media messages from concerned Wisconsin residents about plans for a massive datacenter campus in their state.The developer, Vantage Data Centers, claimed the $8

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Vercel Labs Introduces Zero, a Systems Programming Language Designed So AI Agents Can Read, Repair, and Ship Native Programs

Most programming languages were designed for humans who read error messages, interpret warnings, and manually trace through stack output to fix bugs. AI agents do none of those things well. They work better with structured data: predictable tokens, stable codes, and machine-parseable repair hints. That gap is what Vercel Labs is trying to close by

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Tech founders use AI-generated images to poke fun at Anthony Albanese in protest against tax changes

‘He’s having a great time with his new 47% equity,’ one entrepreneur jokes, warning that some startups may leave Australia behindGet our breaking news email, free app or daily news podcastTech entrepreneurs have mocked the government’s capital gains tax changes by posting AI-generated photos of Anthony Albanese as their “new founder” and warning that increased

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A Coding Guide Implementing SHAP Explainability Workflows with Explainer Comparisons, Maskers, Interactions, Drift, and Black-Box Models

In this tutorial, we implement SHAP workflows as a practical framework for interpreting machine learning models beyond basic feature-importance plots. We start by training tree-based models and then compare different SHAP explainers, including Tree, Exact, Permutation, and Kernel methods, to understand how accuracy and runtime change across model-aware and model-agnostic approaches. We also examine how

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Nous Research Proposes Lighthouse Attention: A Training-Only Selection-Based Hierarchical Attention That Delivers 1.4–1.7× Pretraining Speedup at Long Context

Training large language models on long sequences has a well-known problem: attention is expensive. The scaled dot-product attention (SDPA) at the core of every transformer scales quadratically Θ(N²) in both compute and memory with sequence length N. FlashAttention addressed this through IO-aware tiling that avoids materializing the full N×N attention matrix in high-bandwidth memory, reducing

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