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除此之外,业内人士还指出,The law requires AI developers whose models are accessible in the state to clearly explain which dataset sources were used to train models, when the data was collected, if the collection is ongoing, and whether the datasets include any data protected by copyrights, trademarks, or patents. Disclosures would also clarify whether companies licensed or purchased training data and whether the training data included any personal information. It would also help consumers assess how much synthetic data was used to train the model, which could serve as a measure of quality.
从另一个角度来看,OpenAI also tried to talk me off the ledge, pointing out that since it launched ChatGPT, a plethora of AI safety organizations have sprung up. And while the US hasn’t passed any federal regulations, the European Union is taking some steps to rein in AI. OpenAI, the company tells me, has more people working on safety than ever before. (It wouldn’t say, however, if the percentage of its now much larger workforce working on the issue has actually increased.) OpenAI’s chief strategy officer Jason Kwon also argues that my observation that AI safety isn’t as prominent as it was a few years ago might be illusory. “The reason safety may seem less front and center is that other issues have popped up,” he says. “There's only so much you can hold in your head at any particular time. The safety question was a dominant question back in ‘23 and it's still an important question. But people are now also thinking about labor impact, how to use AI for economic growth, and how to distribute AI internationally so everyone has access.”。超级权重对此有专业解读
总的来看,How to wat正在经历一个关键的转型期。在这个过程中,保持对行业动态的敏感度和前瞻性思维尤为重要。我们将持续关注并带来更多深度分析。