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Qwen2.5-VL-32B: Smarter and Lighter(qwenlm.github.io)
522 points by tosh | 280 comments
Qwen Team blog post announcing Qwen2.5-VL-32B, a 32-billion-parameter vision-language model released March 24, 2025.
Qwen3-Coder: Agentic coding in the world(qwenlm.github.io)
680 points by danielhanchen | 300 comments
Qwen Team blog post announcing Qwen3-Coder, their most agentic code model to date, with links to GitHub, Hugging Face, ModelScope and Discord.
Qwen3-TTS family is now open sourced: Voice design, clone, and generation(qwen.ai)
697 points by Palmik | 212 comments
Qwen team blog post announcing the open-source release of the Qwen3-TTS model family for voice design, voice cloning, and speech generation.
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Qwen3-Max-Thinking(qwen.ai)
471 points by vinhnx | 410 comments
Qwen team blog post announcing Qwen3-Max-Thinking, a reasoning-focused version of their flagship large language model.
QwQ-32B: Embracing the Power of Reinforcement Learning(qwenlm.github.io)
445 points by nwjsmith | 147 comments
Qwen Team blog post announcing QwQ-32B, a 32B-parameter reasoning model trained with scaled reinforcement learning.
Qwen3-Next(qwen.ai)
519 points by tosh | 201 comments
Qwen team blog post announcing Qwen3-Next, a model architecture aimed at improving LLM training and inference efficiency.
Understanding Reasoning LLMs(magazine.sebastianraschka.com)
442 points by sebg | 163 comments
Sebastian Raschka's Ahead of AI newsletter article explaining the four main approaches to building and refining reasoning LLMs.
Do your own writing(alexhwoods.com)
690 points by karimf | 222 comments
Blog post by Alex Woods arguing against using LLMs to write documents and essays, since writing is a way to think and build trust.
Are AI labs pelicanmaxxing?(dylancastillo.co)
632 points by dcastm | 237 comments
Blog post investigating whether AI labs are optimizing their LLMs for Simon Willison's 'SVG of a pelican riding a bicycle' informal benchmark.