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What does it mean for AI to be open-source, and why is that distinction becoming one of the most important debates in tech today? As artificial intelligence grows more powerful, the divide between commercial, closed-source models and free, open-source alternatives is widening—and with it, questions about access, control, and the future of innovation. In this session, we’ll explore the fundamental differences between these two approaches to AI development and ask what’s really at stake. Who benefits when powerful AI models are locked behind corporate walls? And what happens when anyone, anywhere, can use—and potentially misuse—advanced AI tools?

Why are so many people rallying behind open-source AI? Is it about transparency, equity, or simply a desire to decentralize power? We’ll dive into the motivations driving the open AI movement, from academic freedom to grassroots innovation, while also confronting the serious concerns around safety, misuse, and regulation. Could open models democratize access to cutting-edge technology, or are we opening the door to risks we’re not prepared to handle? Let's have a dynamic discussion on the ethics, possibilities, and power struggles shaping the future of artificial intelligence.

AI到底是不是开源，有什么区别？为什么现在越来越多科技圈的大讨论都围绕这个问题？随着人工智能不断发展，商业闭源模型和免费开源替代方案之间的分歧也在扩大，引发了关于“谁能用”、“谁在控制”以及“创新的未来”一系列深刻的问题。在这场讨论中，我们会深入拆解两种AI开发路线的核心差异，也会抛出一些关键问题：当强大的AI模型被锁在公司墙里，谁在获益？而如果任何人、任何地方都能用，甚至滥用这些工具，我们又该如何应对？

为什么这么多人站在开源AI这边？是为了透明？公平？还是想要权力下放？我们会聊聊这场开源浪潮背后的动机，从学术自由到草根创新，也不会回避它引发的现实问题，比如安全隐患、滥用风险和监管难题。开放的模型能不能真正“科技平权”？还是我们其实已经打开了一个我们还没准备好面对的潘多拉盒子？来一起聊聊AI未来的道德线、可能性和权力博弈吧。

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