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Yann LeCun and Google DeepMind's Dr. Adam Brown to Discuss AI's Future Amidst Large Language Model Debate at Pioneer Works

Yann LeCun, a foundational figure in modern AI, will engage in a conversation with Dr. Adam Brown from Google DeepMind at Pioneer Works. The discussion, hosted by Janna Levin, comes as LeCun expresses his conviction that many in the AI field have been misguided by the focus on large language models. This event highlights a critical debate within the AI community regarding the direction and future of artificial intelligence development.

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Janna Levin announced that Yann LeCun will be joining her in a conversation with Dr. Adam Brown of Google DeepMind at Pioneer Works. This event is particularly notable given LeCun's recent public stance on the direction of artificial intelligence. As reported by The Wall Street Journal, Yann LeCun, who is credited with inventing many fundamental components of modern AI, believes that a significant portion of his field has been 'led astray by the siren song of large language models.' The upcoming conversation is expected to delve into these perspectives, offering insights into the future of AI from two prominent figures in the industry. The discussion will likely explore alternatives or different approaches to AI development beyond the current dominant focus on large language models.

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Alibaba Launches 'Qianwen' App for Public Beta, Leveraging Qwen3 to Challenge ChatGPT in the AI-to-Consumer Market with Free Access and Ecosystem Integration

On November 17th, Alibaba officially launched the public beta of its 'Qianwen' app, marking its full entry into the AI-to-C market. Based on the globally top-performing open-source model Qwen3, Qianwen aims to compete directly with ChatGPT by offering free access and integrating with various lifestyle scenarios. Alibaba's core management views this project as the 'future battle of the AI era.' The app is now available on major app stores, with web and PC versions also provided. An international version is slated for release soon to leverage Qwen's global influence and compete for overseas users. Alibaba has invested 380 billion yuan in AI infrastructure this year and plans to expand cloud data center energy consumption tenfold by 2032. Qwen has become the most powerful and widely used open-source large model globally, with over 600 million downloads. Its flagship model, Qwen3-Max, reportedly surpasses GPT5 and Claude Opus4 in performance, positioning it among the top three globally. Qianwen's strategic goal is to become a future AI lifestyle portal, offering smart chat and practical task-handling capabilities, such as generating research reports and PPTs. Alibaba plans to integrate various life scenarios like maps, food delivery, ticketing, and shopping into the app.

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AI Startup Gamma's Grant Lee Shares 8 Proven Product & Growth Strategies: Serving 50 Million Users with a 50-Person Team

A summary of a deep dive conversation between Lenny Rachitsky and Grant Lee, founder of AI startup Gamma, reveals eight battle-tested product and growth strategies. Gamma, a company that serves 50 million users with a 50-person team and is profitable, emphasizes perfecting the initial 30-second product experience, focusing on a single core value, and delaying advertising until organic word-of-mouth growth exceeds 50%. Other key takeaways include collaborating with hundreds of micro-influencers, personally onboarding early creators, slow and deliberate hiring of top talent, rapid prototyping for idea validation, and committing to long-term problems.

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OpenAI Criticizes Court Order Granting NYT Access to 20 Million User Chats

OpenAI has expressed strong disapproval of a recent court order that permits the New York Times to review 20 million complete user chat logs. The details surrounding the court's reasoning for this decision, the specific context of the dispute between OpenAI and the New York Times, and the potential implications for user privacy or data security are not provided in the original submission. The news was submitted by u/F0urLeafCl0ver on November 14, 2025, to the r/artificial subreddit.