
Next week would literally be the perfect moment to release GPT-5.6.

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Next week would literally be the perfect moment to release GPT-5.6.
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The future of AI belongs to underhyped and overcapable public models.
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I know many companies and developers who are already using Chinese models, even in the United States. Developers tend to go where the cheapest prices are; this is typical behavior. Saying no one will use them is wrong. Maybe the U.S. military won't use them, but a lot of others
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ESTA EXTENSIÓN DISFRAZA A CLAUDE DE GOOGLE DOC PARA QUE PUEDAS USAR IA EN PÚBLICO
— Nico (@nicos_ai) 14 juin 2026
Envuelve la IA en una interfaz falsa de google docs:
así que en tu pantalla parece que estás escribiendo un documento, no hablando con un chatbot
qué hace:
→ funciona con chatgpt y claude
→… pic.twitter.com/ZlQ0ILFdBD
THIS EXTENSION DISGUISES CLAUDE AS A GOOGLE DOC SO YOU CAN USE AI IN PUBLIC Wraps the AI in a fake Google Docs interface: so that on your screen, it looks like you're writing a document, not talking to a chatbot what it does: → works

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Deep Learning with TensorFlow and Keras — Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models (3rd Ed., 667 pages): http://
amzn.to/3gitVEJ v/ @PacktDataML —————
#DataScientist #DataScience #AI #MachineLearning #ML

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AI Programming with Python — From Zero to Hero: http://
amzn.to/43TkNea Thorough introductions to #AI, #MachineLearning, and #DeepLearning Hands-on introductions to #Python Discussions of supervised and unsupervised learning Explorations of classification and

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Data Without Labels — Models and Algorithms for Practical Unsupervised #MachineLearning: http://
amzn.to/4q5bbYz 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: Fundamental building blocks and concepts of machine learning and unsupervised learning
Data cleaning for structured and

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"Machine Learning Foundations, Volume 1: Supervised Learning" – available at http://
amzn.to/4syhPal Benefits: Master the key concepts of supervised machine learning, including model capacity, the bias-variance tradeoff, generalization, and optimization techniques Implement

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Excellent book from @ManningBooks >> "Machine Learning 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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Claude Shannon Helped Kick-start Machine Learning — “Shannon didn’t bother predicting the future—he just went ahead and invented it”: https://
spectrum.ieee.org/claude-shannon
-information-theory
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See this award-winning book: https://
amzn.to/3L1yQES