
Junyang Lin
Member of the Qwen Team at Alibaba. Involved in the development of large language models.
Top 3 podcasts with Junyang Lin
Ranked by the Snipd community

91 snips
Mar 6, 2025 • 1h 51min
ThursdAI - Mar 6, 2025 - Alibaba's R1 Killer QwQ, Exclusive Google AI Mode Chat, and MCP fever sweeping the community!
In this engaging discussion, Junyang Lin, head of Alibaba's Qwen team, introduces the groundbreaking 32B reasoning-focused model, QwQ, and shares its innovative features. Robby Stein, Google's VP of Product for Search, reveals the exciting advancements in their new AI Mode, which enhances user experiences on Google Search. Meanwhile, Dina Kozlov and Jason Kneen dive deep into the Model Context Protocol (MCP), exploring its potential for seamless AI communication and its transformative impact on productivity across various platforms.

45 snips
Jul 24, 2025 • 1h 43min
📆 ThursdAI - July 24, 2025 - Qwen-mas in July, The White House's AI Action Plan & Math Olympiad Gold for AIs + coding a 3d tetris on stream
This week’s guests are Junyang Lin, a vital member of Alibaba's Qwen team, known for his work on large language models, and Joseph Nelson, co-founder and CEO of Roboflow, who recently engaged with the White House on its AI Action Plan. They discuss the exciting release of multiple new AI models from Alibaba, including the game-changing Qwen3-235B-A22B, along with insights into governmental regulations affecting AI. Plus, a live coding challenge creates a Tetris game, showcasing innovative AI integration and impressive problem-solving in competitive settings!

38 snips
Nov 28, 2024 • 1h 46min
🦃 ThursdAI - Thanksgiving special 24' - Qwen Open Sources Reasoning, BlueSky hates AI, H controls the web & more AI news
Junyang Lin, a key member of the Qwen team, discusses their groundbreaking new reasoning model, Quill, which can outperform larger models on various metrics. Alpin Dale, an AI researcher, shares his experience collecting BlueSky posts and the backlash he faced from the community regarding data ethics. The conversation delves into the implications of these advancements, highlighting the importance of transparency in open-source AI and the ongoing tensions between pro-AI advocates and skeptics. They explore innovative technologies and the dynamic landscape of AI advancements.