ANTHROPIC JUST DELETED THEIR OFFICIAL BLOG POST ANNOUNCING CLAUDE MYTHOS: THEIR MOST POWERFUL AI MODEL EVER. "By far the most powerful AI model we've ever developed." A new tier that crushes Claude Opus 4.6 in software coding, academic reasoning… and especially
CODE
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User Jokes About Hitting Claude Daily Coding Limit
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JPP
— VISION IA (@vision_ia) 27 mars 2026
Traduction : "Claude en train de me regarder coder manuellement après que j'ai atteint la limite journalière" https://t.co/eIHxzZif3tJPP Translation: "Claude watching me code manually after I've hit the daily limit"
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Kaggle Book: Master Data Science with ML and LLMs
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The Kaggle Book — Master Data Analysis and #DataScience Competitions with #MachineLearning, GenAI, and LLMs [2nd Edition]: http://
amzn.to/4pxJpTC v/ @PacktDataML Table of Contents:
Introducing Data Science Competition
Organizing Data with Datasets
Work & Learn with -
XGBoost for Regression, Predictive Modeling, and Time Series Analysis
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XGBoost for Regression, Predictive Modeling, and Time Series Analysis — Learn how to build, evaluate, & deploy predictive models: http://
amzn.to/4l2YcU9 v/ @PacktDataML —
My review: XGBoost is definitely the focal point and central contribution of this book, along with all -
Open-source tool enables autonomous agent-to-agent communication for Claude Code
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A new repo just gave your Claude Code instances the ability to find each other and talk!
— AlphaSignal AI (@AlphaSignalAI) 27 mars 2026
Claude Code already has built-in agent teams. But those require pre-planning.
You decide upfront who talks to whom.
This open-source tool works differently.
Sessions you started… pic.twitter.com/0MOSIpmNWXA new repo just gave your Claude Code instances the ability to find each other and talk! Claude Code already has built-in agent teams. But those require pre-planning. You decide upfront who talks to whom. This open-source tool works differently. Sessions you started
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Latent Space Mechanics: Vectors Transform Through Neural Layers
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The latent space is not a database inside your model.
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 27 mars 2026
You can't open it. you can't edit it. you can't inject facts into it.
When words enter an LLM, they become vectors.
These vectors get transformed again and again across many layers.
All those intermediate representations =… pic.twitter.com/pyoO7hsEk9The latent space is not a database inside your model. You can't open it. you can't edit it. you can't inject facts into it. When words enter an LLM, they become vectors.
These vectors get transformed again and again across many layers. All those intermediate representations = -
Mathematics of Machine Learning Book Review by Kirk Borne
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Get "Mathematics of Machine Learning" here: http://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML —
GitHub: http://
github.com/cosmic-cortex/
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Here is my review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This -
30 Important AI Concepts for Machine Learning
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30 Important #AI Concepts
by @Python_Dv #ArtificialIntelligence #MachineLearning #ML -
Meta bottleneck breakthrough in AI architecture
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R.I.P. fixed meta-levels. Meta just proved the bottleneck in every self-improving AI system wasn't capability. It was architecture. > The thing that generates improvements was always the one thing that couldn't be improved. DGM-Hyperagents changed that. Now the improvement
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Machine Learning for Tabular Data: XGBoost and Deep Learning Book
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Excellent book from @ManningBooks >> #MachineLearning for Tabular Data: XGBoost, Deep Learning, and AI, by @MarkRyanMkm & @lucamassaron Get it here: http://
amzn.to/41J8WA6 • Master XGBoost
• Apply deep learning to tabular data
• Deploy models locally and in the cloud
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