The largest companies in the world. Nvidia’s record $4.2T valuation reshuffles the ranking of most valuable companies in the world, and which regions dominate the top 50. https://
visualcapitalist.com/ranked-50-most
-valuable-companies-in-the-world-july-2025/
… via @visualcap @HaroldSinnott @Nicochan33 @TerenceLeungSF @enricomolinari
AI HARDWARE
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Nvidia’s $4.2T Valuation Reshapes World’s Most Valuable Companies
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Alibaba launches Wan2.2 video model and Quark AI glasses
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Alibaba's Tongyi Lab launched Wan2.2, an open-source video model with advanced cinematic capabilities and high-quality motion
— The Rundown AI (@TheRundownAI) 29 juillet 2025
The company also launched Quark AI glasses, offering voice control, real-time translation, and transcription capabilitiespic.twitter.com/u2MEsXqECiAlibaba's Tongyi Lab launched Wan2.2, an open-source video model with advanced cinematic capabilities and high-quality motion The company also launched Quark AI glasses, offering voice control, real-time translation, and transcription capabilities
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GLM-4.5 Air 3bit MLX runs smoothly on MacBook M2
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I've run the GLM-4.5 Air 3bit MLX build on my 64GB MacBook M2, it's impressed me – it drew me a simpler pelican https://
huggingface.co/mlx-community/
GLM-4.5-Air-3bit
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Musk’s DOGE Effect on Chip Equipment Industry Sparks Speculation
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Will Musk DOGE the chip equipment industry? Wall Street’s Best Ideas: Tiny graphite company soars One of the best signs of a bubble is the rush of tiny companies to issue dubious press releases. Malaysia-based Graphjet glommed onto Elon Musk’s chip news with a press release of
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Microsoft Limits ChatGPT Image Generation Due to GPU Overheating
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Microsoft says ‘our GPUs are melting’ as it limits ChatGPT image generation #AI #AIio #AIInnovation #ML #DataScience #Futureofwork @timnitgebru @oriolvinyalsml @ceobillionaire @soumithchintala @waitin4agi_ @sallyeaves @bernardmarr
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Cheapest Mac Hardware for Running AI Models Locally
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Thanks! Looks like cheapest 128GB Mac at the moment is a $3,500 Mac Studio, I'm interested in finding the lowest price for realistically running these models
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Running Quantized Models on M2 Mac with 64GB RAM
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What are my chances of running that (or a further quantized version) on an M2 with 64GB?
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Deploying AI Models at the Edge: Optimization and Implementation
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Useful breakdown from @WevolverApp of what it actually takes to get AI models running at the edge: Model selection Quantisation Hardware-specific compilation Real-world testing
Plus, how dedicated stacks like Axelera’s simplify it: https://
wevolver.com/article/how-to
-build-optimize-and-deploy-ai-models-at-the-edge
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Unitree R1: affordable 4-feet humanoid robot with multimodal AI
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Unitree just unveiled R1, a new 4-feet-tall humanoid
— The Rundown AI (@TheRundownAI) 28 juillet 2025
With 26 DoF, Unitree's famous speed and agility, and multimodal AI, it promises to be the next-gen robot for homes
Best part: it starts at $5,900, cheaper than a fully loaded Apple MacBook Propic.twitter.com/ClDY77S2XWUnitree just unveiled R1, a new 4-feet-tall humanoid With 26 DoF, Unitree's famous speed and agility, and multimodal AI, it promises to be the next-gen robot for homes Best part: it starts at $5,900, cheaper than a fully loaded Apple MacBook Pro
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Apple Launches Multilingual Foundation Models for On-Device AI
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10. Apple Intelligence Foundation Language Models Apple introduces two multilingual, multimodal foundation models: a 3B-parameter on-device model optimized for Apple silicon and a scalable server model using a novel PT-MoE transformer architecture.