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Elon Musk’s lawsuit against OpenAI heads to trial over nonprofit claims

Elon Musk’s lawsuit accusing OpenAI of abandoning its non-profit mission heads to trial on Monday with jury selection in California. The case pits the world’s richest person against a startup he once backed and now rivals through xAI and its chatbot Grok. The feud also involves Sam Altman.

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Musk and Altman’s bitter feud over OpenAI to be laid bare in court

Tesla chief believes Altman broke company’s founding agreement – and legal battle promises to be explosiveThe bitter rivalry between two of the tech world’s most powerful men arrives in court this week, as Elon Musk’s lawsuit against Sam Altman and OpenAI heads to trial in Oakland, California. The case is set to feature some of

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Top 7 Benchmarks That Actually Matter for Agentic Reasoning in Large Language Models

As AI agents move from research demos to production deployments, one question has become impossible to ignore: how do you actually know if an agent is good? Perplexity scores and MMLU leaderboard numbers tell you very little about whether a model can navigate a real website, resolve a GitHub issue, or reliably handle a customer

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‘Nigel is mad to accept his money’: who is Christopher Harborne, the mystery billionaire bankrolling Reform?

A crypto tycoon is giving record-breaking amounts to Farage’s party. But little is known about his motivesShortly before Christmas 2022, Chakrit Sakunkrit, owner of the Kamalaya Wellness Sanctuary on the Thai island of Koh Samui, invited 200 guests to spend a few days celebrating his 60th birthday. One sultry afternoon, Sakunkrit and a small group gathered

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UK departments at odds over energy demands of AI datacentres

Discrepancy in forecasts raises questions over government planning for net zeroOne vision of the UK’s future involves a decarbonised economy powered by clean, renewable energy. Another involves making the UK an AI superpower.The government departments responsible for these two visions do not appear to have agreed on their numbers. Continue reading…

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Ghost MOTs: drivers warned over fake certificates that lead to huge repair bills

Secondhand car buyers urged to carefully inspect vehicles, while owners told to beware tests that are suspiciously quickRise of the ‘ghost owner’: 18,000 UK vehicles in use without proper recordsYou have just bought a secondhand car. It was older than you wanted, but were reassured because it had recently passed its MOT.Within a few days,

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Cannes AI film festival raises eyebrows – and questions about future

While emerging technology is banned from the Palme d’Or, an upstart movement is gaining investment and attentionIn Cannes’ darkened screening rooms, the supposed future of cinema flickered into life this week and it was strange. The first edition of the World AI film festival (WAIFF) showcased visions of men with fish scales erupting from their

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RAG Without Vectors: How PageIndex Retrieves by Reasoning

Retrieval is where most RAG systems quietly break. Traditional pipelines rely on vector similarity—embedding queries and document chunks into the same space and fetching the “closest” matches. But similarity is a weak proxy for what we actually need: relevance grounded in reasoning. In long, professional documents—like financial reports, research papers, or legal texts—the right answer

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A Coding Tutorial on Datashader on Rendering Massive Datasets with High-Performance Python Visual Analytics

In this tutorial, we explore Datashader, a powerful, high-performance visualization library for rendering massive datasets that quickly overwhelm traditional plotting tools. We work through its full rendering pipeline in Google Colab, starting from dense point clouds and reduction-based aggregations to categorical rendering, line visualizations, raster data, quadmesh grids, compositing, and dashboard-style analytical views. As we

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A Coding Implementation on kvcached for Elastic KV Cache Memory, Bursty LLM Serving, and Multi-Model GPU Sharing

In this tutorial, we explore kvcached, a dynamic KV-cache implementation on top of vLLM, to understand how dynamic KV-cache allocation transforms GPU memory usage for large language models. We begin by setting up the environment and deploying lightweight Qwen2.5 models through an OpenAI-compatible API, ensuring a realistic inference workflow. We then design controlled experiments where

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