Claude upgraded excel is a masterpiece of a feature I demo’d it and explained it to non-engineers multiple times last week, and jaws were on the floor. Next up: non-eng folks want time series/forecasting inside spreadsheets (think: retail, ops, supply chain, finance)
SOFTWARE
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Mistral AI Adds Tone Customization for Le Chat
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Mistral AI is working on a new feature that allows users to set a Tone for their Le Chat conversations based on presets and custom prompts.
— 🚨 AI News | TestingCatalog (@testingcatalog) 24 septembre 2025
A “personality” builder! 🔥 pic.twitter.com/kKdo6al6WWMistral AI is working on a new feature that allows users to set a Tone for their Le Chat conversations based on presets and custom prompts. A “personality” builder!
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Open-Source AI Tools: RunPod, OpenRouter, and Local Function Calling
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> i want @runpod
, @openrouter
, and many more to show how they've made it so easy to tinker with open-source AI > i want someone to break down the openai api > i want local function calling, live, with open models -
Aphrodite Engine, Inference & Quantization Talk Series
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> i want @AlpinDale to give a talk on Aphrodite Engine & Inference Engines
> and maybe another one on Samplers > i want @casper_hansen_ to break down quantization and how he built AWQ -
Commercial Spaceflight, AI Transform Human Potential Future
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Space, AI, And The Future Of Human Potential #Space exploration is no longer the sole domain of governments. In a new conversation, #astronaut and space industry leader Tom Marshburn explains how commercial #spaceflight, #artificialintelligence, and new approaches to medicine
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ML Model-Serving Patterns and Production Deployment Best Practices
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#MachineLearning Model-Serving Patterns & Best Practices — Definitive guide to deploying, monitoring, & providing accessibility to #ML models in production: http://
amzn.to/3vNwKoT via @PacktDataML ——
#AI #DeepLearning #DataScience #DataScientist #MLOps #CDO #DataEngineering -
Modern Computer Vision with PyTorch Deep Learning Second Edition
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2nd Edition, 746 pages, massive! Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and #GenerativeAI: http://
amzn.to/3xAkB7X v/ @PacktDataML ——
#DataScience #MachineLearning #AI #ML #GenAI #DataScientist
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Machine Learning Solutions Architect Handbook: Practical Strategies and Best Practices
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#MachineLearning Solutions Architect Handbook — Practical Strategies and Best Practices in the #ML Lifecycle, System Design, #MLOps, and Generative AI: http://
amzn.to/4bx8t6b via @PacktDataML ——————
#DataScience #DataScientist #AI #GenAI #GenerativeAI #LLMs #LLMOps -
Shared Memory Layers for Multi-Agent AI Platforms
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updated summary of responses (again with chatgpt, sorry for any misses or mistakes): (Part 1 of 2) Agent Platforms, OS & Memory Layers @christinetyip is building a shared memory layer so many agents can access a single, cohesive memory; @ankurdorroy
’s @getsubstrate adds -
Rust Cannot Match Python Performance Numbers
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You can never make those numbers with Rust. Python is all you need