Impressive performances

Did you know the scikit-learn docs has a recommender built-in? Many folks assume that it is hand curated, but there's actually a small ml pipeline to take care of it. In our latest episode we talk to the docs maintainer about all of this and more. Enjoy! eu1.hubs.ly/H0dpvhK0

⚠️ Launch Alert 🚀 Today, we're launching the first official and global scikit-learn practitioner certification program, level 1️⃣ Thank you Inria and Artefact for being our launch partners! Be the among the first to get certified 👉 certification.probabl.ai

Great testimony of how AI is impacting today's scientific world. Here it's about immunology but it could apply to many other fields in science including AI R&D itself which creates a crazy acceleration loop.

In 2025, let's explore the capabilities of Agentic systems. Hugging Face released smolagents a simple agent library able to write python code to call tools and orchestrate other agents. And it's open source. github.com/huggingface/sm…

Interesting benchmark from dstack comparing NVIDIA H100 vs AMD MI300x for LLM inference with Llama 3.1 405B FP8. Explore memory saturation, cost per token, throughput, and future GPU projections (H200, B200, MI325x). Details here: dstack.ai/blog/h100-mi30… #AI #GPU

1️⃣New Agent Mode: With agent mode in VS Code, Copilot goes beyond your initial request, completing all necessary subtasks and even inferring unspecified tasks. Agent mode allows Copilot to iterate on its own code, propose and guide terminal commands, and analyze and resolve

MiniMax-M1 China's new open source (Apache2.0) LLM (456B params, 1M token context) outperforms DeepSeek R1 and rivals GPT-4o in reasoning, coding, and long-context tasks—at 200x lower training cost. More details: shorturl.at/W4m0e GitHub shorturl.at/wt5dB

🧠 #MIT study: how AI chatbots impact our brain activity and change how we think? Dive into the findings based on 4 months of data and what it means for our minds! (Hint: challenge your brain to avoid getting dull) shorturl.at/6YjBX #AI #Neuroscience

I asked #GPT5 to make a detailed analysis comparing GPT-5 vs Grok 4. Surprisingly he made a gross confusion between Grok and Claude, considering that Grok 4 was an Anthropic model🫣. As a result, the comparison is totally irrelevant. Embarrassing for a so-called PhD level OpenAI