AI 的基本运行逻辑主要体现在以下两个方面：
此外，在 AI 监管方面，需要确定一系列支持监管一致性和监管者的功能，如建立中央监测和评估框架，收集相关数据，支持监管者进行内部监测和评估等，以实现创新的监管方式。监测和评估需要集中进行，以确定整体框架是否符合目标，是否以支持创新、清晰、适度、适应性强、值得信赖和协作的方式运行，并建立反馈回路以衡量框架的有效性。
在深入了解了AI的运作原理，并盘了众多当前市面上AI的落地产品之后，我们不妨重新回到最开始的问题。此次AI大模型究竟引发了怎样的变革？在思考这个问题之前，我想先分享下去年刚接触大模型时，困扰我的一个问题。即大模型与当下的智能语音技能的NLU存在什么差异？此前，我也曾涉足过一些语音产品的设计逻辑，知道语音技能链路其实就是把声音转为ASR，再对文本进行NLU理解，然后映射到对应的语音技能表中，最后让程序依据相应的语音技能指令完成逻辑。乍看起来，大模型能实现的，通过语音技能似乎也能达成，那我们引入大模型的意义在哪里呢？抱着这样的疑问，我尝试去理解了大模型的原理。当我在初步理解大模型的原理之后，我发现二者还是存在本质性的差别的。差别在于，后者的语音技能NLU仅是通过一系列规则、分词策略等训练而成的产物。而且NLU的运作逻辑规律都是可观测的，具有if-else式的逻辑性。而大模型，则是凭借海量的数据，在向量空间中学习知识的关联性从而形成的，其运作逻辑难以观测，已然脱离了if-else的层面。
首先，我的镜头想法是：需要视线聚焦到中心的圆形细胞，并保持固定，方便后续画面的转场。由于单张AI图生视频的动效太简单了，我分了几个图层进行处理。具体的拆解过程我做了一张思路图，分享给你们↓*左图：AI图生原视频右图：拆分处理后接下来我又再叠加了几个画面来丰富画面~右图在左图的基础上加了一点细节
to implement the pro-innovation approach that we have outlined.These functions have beeninformed by our discussions with industry,research organisations,and regulators following thepublication of the AI policy paper.Box 3.1:Functions required to support implementation of the frameworkMonitoring,assessment andfeedback118Activities• Develop and maintain a central monitoring and evaluation(M&E)framework to assesscross-economy and sector-specific impacts of the new regime.• Ensure appropriate data is gathered from relevant sources – for example,fromindustry,regulators,government and civil society – and considered as part of theoverall assessment of the effectiveness of the framework.• Support and equip regulators to undertake internal M&E and find ways to supportregulators’ contributions to the central M&E function.• Monitor the regime’s overall effectiveness including the extent to which it isproportionate and supporting innovation.• Provide advice to ministers on issues that may need to be addressed to improve theregime,including where additional intervention may be required to ensure that theframework remains effective as the capability of AI and the state of the art develops.See Box 3.3.A pro-innovation approach to AI regulationRationaleThis function is at the heart of our iterative approach.We need to know whether theframework is working – for example,whether it is able to respond to and mitigateprioritised risks and whether the framework is actively supporting innovation – and weneed the ability to spot issues quickly so we can adapt the framework in response.M&E needs to be undertaken centrally to determine whether the regime as a whole isdelivering against our objectives.M&E will assess whether our regime is operating in away that is pro-innovation,clear,proportionate,adaptable,trustworthy and collaborative.Our engagement with industry,regulators,and civil society has shown us the importanceof establishing a feedback loop to measure the effectiveness of the framework.We willensure mechanisms are in place to gather evidence and insights to inform policy design.Support coherent implementation of the principlesActivities