Where are the action potentials?
COMPUTING
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Current Tech Stack Insufficient for AGI Achievement
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Our current tech stack is not capable of AGI. We're still in the alchemy days.
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GLM 4.5 Air vs Qwen: Code Quality Memory Usage Comparison
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GLM 4.5 Air produced code that worked first time, but it also uses ~48GB RAM where the new Qwen used ~30GB
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Browser-based YOLO compilation and testing for Axelera Metis
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You can now compile & test #YOLO models for Axelera Metis in your browser. With @DeGirum
's Cloud Compiler, upload a PyTorch checkpoint, get an optimised binary in <10 mins, and test it on Metis, no setup needed. Check it out: https://
eu1.hubs.ly/H0m2rPm0 -

Tesla’s $16.5B AI chip deal and tech breakthroughs
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Top stories in tech today: – Tesla signs $16.5B AI chip deal
– Scientists create shelf-stable artificial blood
– Tea dating app breach gets bigger
– Alibaba unveils its own smart glasses
– Quick hits on other major tech news Read more: https://
tech.therundown.ai/p/teslas-16-5b
-ai-chip-bet
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GPT-5-Alpha Impresses in Internal Testing
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GPT-5-Alpha has been tested by the Cursor team internally. It is able to one shot almost anything it seems.
— 🚨 AI News | TestingCatalog (@testingcatalog) 29 juillet 2025
Alpha models are always the best 🤖 https://t.co/JgwUDHS2bI pic.twitter.com/bgn4CKz5PmGPT-5-Alpha has been tested by the Cursor team internally. It is able to one shot almost anything it seems. Alpha models are always the best
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MLX Builds for GLM-4.5 Air 3bit Quantization
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Great work @ivanfioravanti on the MLX builds of GLM-4.5 Air – I used the 3bit one for this
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SmallThinker: Efficient LLMs for Local Deployment
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SmallThinker A Family of Efficient Large Language Models Natively Trained for Local Deployment
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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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GLM-4.5: Efficient 355B Parameter Language Model
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GLM-4.5: Power Meets Precision
Boasting 355 billion parameters with 32 billion active at runtime, GLM-4.5 delivers top-tier performance at a fraction of the cost. Its Mixture-of-Experts design activates only the necessary parameters, ensuring efficiency without compromising