Mesh
3.9K posts

Mesh
@Meshrhm
Husband | Entrepreneur & Investor | Bitcoin since 2016 | AGI & Contrarian Political Insights | 🇨🇦/acc | Civil Engineering | Currently tinkering in my home lab







My name is Brady Penfield, I am 22 years old and a lifelong Wisconsinite. I come from a family of Dane County Democrats. However, I became a conservative during my junior year of high school in 2020 in the peak of the COVID lockdowns I recently graduated from the University of Wisconsin River Falls. Where I founded and led the UWRF College Republicans Chapter for two years. Last summer in 2024, I ran for state assembly while still in college and lost in the primary election by just .8% or 45 votes. Last month, I launched a Young Republican Chapter for St. Croix and Pierce Counties where I live. Now, I’ve been working with @tpaction for 10 months as the Badger Field Rep. I’ve been building permanent GOTV infrastructure across 39 counties in Western and Northern Wisconsin. I get things done, I don’t sit around and complain on social media, so it’s time for you all to do the same if you want to save this nation!





We've just unveiled ERNIE 4.5 & X1! 🚀 As a deep-thinking reasoning model with multimodal capabilities, ERNIE X1 delivers performance on par with DeepSeek R1 at only half the price. Meanwhile, ERNIE 4.5 is our latest foundation model and new-generation native multimodal model. Plus, our AI chatbot ERNIE Bot has now been made free to individual users ahead of schedule. Both models are now freely accessible to all ERNIE Bot users via its official website: yiyan.baidu.com.

Today, we release QwQ-32B, our new reasoning model with only 32 billion parameters that rivals cutting-edge reasoning model, e.g., DeepSeek-R1. Blog: qwenlm.github.io/blog/qwq-32b HF: huggingface.co/Qwen/QwQ-32B ModelScope: modelscope.cn/models/Qwen/Qw… Demo: huggingface.co/spaces/Qwen/Qw… Qwen Chat: chat.qwen.ai This time, we investigate recipes for scaling RL and have achieved some impressive results based on our Qwen2.5-32B. We find that RL training con continuously improve the performance especially in math and coding, and we observe that the continous scaling of RL can help a medium-size model achieve competitieve performance against gigantic MoE model. Feel free to chat with our new models and provide us feedback!


Introducing Small 3, our most efficient and versatile model yet! Pre-trained and instructed version, Apache 2.0, 24B, 81% MMLU, 150 tok/s. No synthetic data so great base for anything reasoning - happy building! mistral.ai/news/mistral-s…












