AI 自由与控制之争：开源模型的重要性

This is all I will say on the matter: It’s alarming to see the constant effort to try to tell me ho...

This is all I will say on the matter: It’s alarming to see the constant effort to try to tell me how I should use AI, how I should build AI, and now how I should pace it. Is it just me, or are all these proposals demanding way too much control? It’s clear that open-source AI matters more than ever. It’s how we free ourselves from suspicious views, constant desire for control, and hidden agendas. There's still so much to solve. Better evals, removing biases, novelty generation, reliability, creativity, code quality, OOD problems, automation capabilities like dynamically generating workflows/harnesses, automated prompt engineering, compaction, cost, multimodality, omni models, latency, throughput, long context understanding, retrieval, tool calling, agent coordination, and the list goes on and on. We need more people working on these problems instead of constantly fear-mongering society about what the technology isn't. As an independent researcher, I don't ignore the safety concerns around AI. Some are valid. And I work on these every day. But we all need to bring more scientific rigor back to this problem, less anthropomorphizing of frontier capabilities, and concerns more grounded in reality than in personal belief or feelings. Lastly, I've never seen so much pessimism about human capabilities as what the topic of recursive self-improvement has brought. We need to be more optimistic about humanity's potential, and how we all play a role in this. To me, that's one of the real problems. I remain optimistic about our field. Transparent dialogue is key to getting this right. But cleverly coordinated self-serving efforts are not welcome. We need to level the playing field. AI is too important to be controlled by only a few. Now back to building. 💬 6 🔄 4 ❤️ 18 👀 2130 📊 8 ⚡