Ultimately it will come down to energy. Local models will run at cost of electricity and cloud based (IQ-maxxing) will run in cloud and demand A LOT of energy. We also keep forgetting about optimization. We’ve only seen scale ramp up now, very little actual optimization
COMPUTING
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Huawei electric powertrain and autonomous driving platform used by Chinese carmakers
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Huawei has developed an electric power train and autonomous driving platform that is being used by incumbent Chinese carmakers through new brands like AITO. The blue light tells you that the car is driving itself…
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Humorously reflecting on CLI flicker not solved before AGI
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Really thought we'd solve the CLI flicker before AGI. Was wrong.
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From C to Theano: The Evolution of Neural Network Frameworks
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I wrote my first neural networks in pure C, then in Matlab, then in NumPy, before eventually moving to Theano. Since then, I have seen and tried practically every neural network framework ever developed. Some are bad, some are good. The good
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Love stumbling upon tears advising to buy GPU for local models
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I just love randomly stumbling upon tears that say “Buy a GPU and run your own models locally! “
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Samsung MeKi: Memory-Based Expert Knowledge Injection for LLMs
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Want to scale LLMs without skyrocketing compute costs? Samsung presents MeKi: Memory-based Expert Knowledge Injection. Instead of making models bigger to learn everything, MeKi gives LLMs a dynamic memory bank of expert knowledge. Think of it as a cheat sheet the model can
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Printer can now print images using Epson FX-86e driver and raw data decoding
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🖨️🖼️ Big progress: it can now print images too
— @levelsio (@levelsio) 7 juin 2026
I had to install a different printer driver, Claude Code recommended Epson FX-86e which supported images
Then I printed an image, it helped me dump a .bin from the printer raw data output, then it decoded the .bin and figured out… https://t.co/S6n7Z5koOa pic.twitter.com/StqNvf8bzuBig progress: it can now print images too I had to install a different printer driver, Claude Code recommended Epson FX-86e which supported images Then I printed an image, it helped me dump a .bin from the printer raw data output, then it decoded the .bin and figured out
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Fine-tuning Gemma 4 12B to master chess on 8GB VRAM
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Google released Gemma 4 12B, a multimodal model that runs text, images, and audio on 8GB VRAM!
— Akshay 🚀 (@akshay_pachaar) 7 juin 2026
We'll fine-tune it to master chess and predict the exact next move.
Tech stack:
– @UnslothAI for efficient fine-tuning.
– @huggingface transformers to run it locally.
Let's go! 🚀 pic.twitter.com/qPXjlYrShsGoogle released Gemma 4 12B, a multimodal model that runs text, images, and audio on 8GB VRAM! We'll fine-tune it to master chess and predict the exact next move. Tech stack:
– @UnslothAI for efficient fine-tuning.
– @huggingface transformers to run it locally. Let's go! -
LA-Pose: Self-driving car learns position from unlabeled driving videos
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What if a self-driving car could learn its position just by watching millions of hours of driving video? Researchers at Wayve and Simon Fraser University introduce LA-Pose: they train a model to learn "latent actions"—hidden motion patterns—from unlabeled driving footage, then
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Apple’s WWDC 2026: Siri Rebuilt with 1.2 Trillion Parameter Gemini
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Tomorrow could be Apple’s most important AI moment yet. WWDC 2026 is expected to be all about one thing: making Siri relevant again. If the leaks are right, Apple is rebuilding Siri around a custom Google Gemini model, reportedly around 1.2 trillion parameters. For context: