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MacBook Neo review: the budget Apple laptop powered by an iPhone chip

Snappy performance, high-quality screen, best-in-class keyboard and trackpad show cheaper can still be greatApple’s brand new entry-level laptop is powered by the chip from an iPhone and offers more than just the essential MacBook experience for a great price, putting the PC industry on notice.The MacBook Neo is the first of its kind from Apple.

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Alibaba Qwen Team Releases Qwen3.5 Omni: A Native Multimodal Model for Text, Audio, Video, and Realtime Interaction

The landscape of multimodal large language models (MLLMs) has shifted from experimental ‘wrappers’—where separate vision or audio encoders are stitched onto a text-based backbone—to native, end-to-end ‘omnimodal’ architectures. Alibaba Qwen team latest release, Qwen3.5-Omni, represents a significant milestone in this evolution. Designed as a direct competitor to flagship models like Gemini 3.1 Pro, the Qwen3.5-Omni

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California to impose new AI regulations in defiance of Trump call

Gavin Newsom signs order to prioritize public safety and rights as president seeks to prevent ‘cumbersome’ rulesCalifornia will impose new standards on artificial intelligence companies seeking to do business with the state, defying Donald Trump’s demands to keep the controversial industry as deregulated as possible.Democratic governor Gavin Newsom signed an executive order on Monday that

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Microsoft AI Releases Harrier-OSS-v1: A New Family of Multilingual Embedding Models Hitting SOTA on Multilingual MTEB v2

Microsoft has announced the release of Harrier-OSS-v1, a family of three multilingual text embedding models designed to provide high-quality semantic representations across a wide range of languages. The release includes three distinct scales: a 270M parameter model, a 0.6B model, and a 27B model. The Harrier-OSS-v1 models achieved state-of-the-art (SOTA) results on the Multilingual MTEB

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I took off my headphones – and noticed a stranger in peril

Slumped on the pavement, she wasn’t breathing – and I wouldn’t have realised if I’d been listening to music as usual. Time to stop blotting out the world …For years I walked the streets of London wearing noise-cancelling headphones, absorbed in playlists, politics podcasts or long voice notes from friends, and a million miles away

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Salesforce AI Research Releases VoiceAgentRAG: A Dual-Agent Memory Router that Cuts Voice RAG Retrieval Latency by 316x

In the world of voice AI, the difference between a helpful assistant and an awkward interaction is measured in milliseconds. While text-based Retrieval-Augmented Generation (RAG) systems can afford a few seconds of ‘thinking’ time, voice agents must respond within a 200ms budget to maintain a natural conversational flow. Standard production vector database queries typically add

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‘Prosthetics aren’t made for people like us’: the brothers creating innovative artificial limbs for Africans

When Ubokobong Amanam lost his fingers in an accident he teamed up with his brother John, a special effects artist, to design a prosthetic that suited him – now they run a thriving business On a humid morning in Uyo, Nigeria, Ubokobong Amanam shows off the lifelike prosthetic where his fingers once were. The skin

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Agent-Infra Releases AIO Sandbox: An All-in-One Runtime for AI Agents with Browser, Shell, Shared Filesystem, and MCP

In the development of autonomous agents, the technical bottleneck is shifting from model reasoning to the execution environment. While Large Language Models (LLMs) can generate code and multi-step plans, providing a functional and isolated environment for that code to run remains a significant infrastructure challenge. Agent-Infra’s Sandbox, an open-source project, addresses this by providing an

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Meet A-Evolve: The PyTorch Moment For Agentic AI Systems Replacing Manual Tuning With Automated State Mutation And Self-Correction

A team of researchers associated with Amazon has released A-Evolve, a universal infrastructure designed to automate the development of autonomous AI agents. The framework aims to replace the ‘manual harness engineering’ that currently defines agent development with a systematic, automated evolution process. The project is being described as a potential ‘PyTorch moment’ for agentic AI.

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