Top Repo of the Week (May 11 – 17) 1. DeepSeek 4 Flash local inference engine for Metal and CUDA
2. Sparser, Faster, Lighter Transformer Language Models
3. RuView: Turn commodity WiFi signals into real-time spatial intelligence
4. Claude for Legal: A suite of plugins for legal
AI
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Top AI Repositories and Tools of the Week
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Questioning the economic sustainability of AI infrastructure spending
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AI may not be a bubble. But some AI spending might be.
— Pascal Bornet (@pascal_bornet) 18 mai 2026
Loved this point from Ann Pettifor because it asks the question I keep coming back to:
Who pays for all this?
Data centers. Chips. Energy. Cooling. Debt.
All built on the belief that future AI profits will justify today’s… pic.twitter.com/e35239BWgCAI may not be a bubble. But some AI spending might be. Loved this point from Ann Pettifor because it asks the question I keep coming back to: Who pays for all this? Data centers. Chips. Energy. Cooling. Debt. All built on the belief that future AI profits will justify today’s
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AI races: top contenders in models, data centers, chips
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The three AI races and their top contenders:
Models: OpenAI, Anthropic, Google
Data centers: Amazon, Microsoft, Google
Chips: Nvidia, AMD, Google -
Breakthrough in video generation: a new interface to reality
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The breakthrough is not just better video generation. It is a new interface to reality. Instead of being locked into one camera angle, you can: → move across viewpoints
→ inspect scenes from new perspectives
→ revisit the same moment from a different position That means -
Glean Platform Integrates Enterprise Systems with AI Agents for Unified Search
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Glean Prompt Library! @glean Glean’s platform seamlessly integrates with a wide array of enterprise systems such as email, intranet, cloud storage, and database by providing a powerful, unified search interface with AI Agents that effortlessly retrieves information from all
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RAG with LLM: Creating an AI-Powered File Reader
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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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Training AI on Amazon Reviews with Python for Natural Language Processing
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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 -
Great Learning: History of Machine Learning Overview
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Great Learning! History of Machine Learning. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/History-of-ML -
Technical Discussion on LLM Reasoning and Architectural Iteration
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literally i didn’t say that. adding “reasoning” already borrows tools like iteration and evaluation from classical AI and isn’t a pure LLM. and the reasoning has all kinds of problem. and i didn’t say “just”; i was careful to say “basically”, suggesting an approximation.
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Debating LLM scaling versus symbolic integration for AI progress
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this is a such a muddle. (at least relative to my views) LLMs are more or less just autcomplete, but (as I have always said) they have their uses. And the real progress now is coming from adding new (symbolic) techniques to the mix, not from pure scaling.