And here’s the part that feels like foreshadowing: MiniCPM-5 1B was pre-trained with ForgeTrain, an AI-coded training framework claimed to be 10% faster than NVIDIA Megatron. AI isn’t just running apps now. It’s starting to build the factory. Try it. Break it. Contribute:
COMPUTING
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Low VRAM AI deployment numbers enable real workflows everywhere
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The deployment numbers are the real flex: FP16: ~2GB VRAM
INT8: ~1GB
INT4/Q4: ~0.5GB That puts real AI workflows on normal machines, edge boxes, tablets, browsers, and local dev stacks. Less “enterprise AI theater.” More shipping. -
MiniCPM-5 1B: Tiny Open-Source Model Runs Locally, No GPU Needed
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The AI crowd keeps worshipping giant models.
— God of Prompt (@godofprompt) 30 mai 2026
Meanwhile, MiniCPM-5 1B is trying to make them look bloated.
A 1B open-source model that runs locally, on CPUs, edge devices, and even browsers.
Tiny model. Real deployment. No GPU cult required. pic.twitter.com/XWH8uso0SEThe AI crowd keeps worshipping giant models. Meanwhile, MiniCPM-5 1B is trying to make them look bloated. A 1B open-source model that runs locally, on CPUs, edge devices, and even browsers. Tiny model. Real deployment. No GPU cult required.
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Microprocessors, infrastructure, data, AI: the true dominance order
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This is the law of true technological dominance: μ-processors > Infra > Data > AI But most people are not ready for this debate, as the focus remains solely on AI software applications. The long-term reality check will be harsh for some.
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EverOS: redesigned interface with long memory for AI agents
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我们新设计了 EverOS 的界面， 现在主要想突出两个点。
— 艾略特 (@elliotchen100) 30 mai 2026
第一，它是面向 AI Agent 的“长程记忆操作系统”。
传统 LLM 应用更多依赖短期上下文，而 EverOS 试图把 agent… pic.twitter.com/mwLmJLrFXjWe have redesigned the EverOS interface, and we now wish to highlight two main points. First, it is a "long memory operating system" designed for AI agents. Traditional LLM applications rely more on context to
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GeoAI and Machine Learning Help Predict Traffic Carmageddon
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GeoAI! #MachineLearning Help Predict Traffic Carmageddon! by @rachelevagordon. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #GeoSpatial #Linux
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Training AI on Amazon Electronic Reviews with Python NLP
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Training AI on Amazon Electronic Reviews Using #Python for Natural Language! – by – @gp_pulipaka
! JupyterLab/Jupyter Notebook WordNet, Lexical Semantic Relation Analyzer
Thesaurus, 155,000 Words
Synset 115,000, 205,000 word-Sense Pair. NLTK Library, spaCy, TextBlob -
AI-Powered File Reader with RAG and LLM
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RAG with LLM: Creating an AI-Powered File Reader! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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Big splats for city-scale 3D, glTF extension, future of Google Earth
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i like big splats and i cannot lie.
— Bilawal Sidhu (@bilawalsidhu) 30 mai 2026
you can now compress, tile and stream city scale 3d gaussian splats — glTF has an official 3DGS extension now too.
this is what the future of google earth looks like. no more broccoli trees. no more melted powerlines. immaculate ground… pic.twitter.com/XK6TP5x1W6i like big splats and i cannot lie. you can now compress, tile and stream city scale 3d gaussian splats — glTF has an official 3DGS extension now too. this is what the future of google earth looks like. no more broccoli trees. no more melted powerlines. immaculate ground
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GPT-5.5 cheaper via API subscription, more efficient thinker
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No. GPT-5.5 is *much* cheaper building against the API directly, when using a subscription. And it's somewhat cheaper even when not using a subscription, because the Opus 4.7/4.8 is much less efficient, and because GPT-5.5 is a more efficient "thinker".