Anthropic发布AI研发进度三大衡量指标
AI systems are getting more powerful, and they're increasingly being used to bui…
AI systems are getting more powerful, and they're increasingly being used to build the next version of themselves. We want to illuminate that progress for the public.
AI 系统正变得愈发强大，且越来越多地被用于构建其自身的下一个版本。我们希望向公众揭示这一进展。
Today, we're sharing three measurements that help track AI development: 1. How much AI R&D is done by AI. 2. How well AI agents are overseen. 3. How compute is allocated.
今天，我们分享三项有助于追踪 AI 发展的衡量指标： 1. AI 在多大程度上参与了 AI 的研发。 2. AI 智能体受到监督的程度。 3. 算力的分配方式。
We provide a snapshot of these metrics from inside Anthropic. Any frontier developer could publish the same measures, and third parties could verify them.
我们提供了来自 Anthropic 内部这些指标的快照。任何前沿开发者都可以发布相同的度量标准，第三方也可以对其进行验证。
As the world considers pacing the frontier, we should do everything possible to minimize the gap between what frontier labs know and what the public knows. This means better measuring the development of AI, publishing our findings, and giving society an opportunity to decide how to use this information.
随着世界各方考虑如何把控前沿技术的发展节奏，我们应该尽一切可能缩小前沿实验室所掌握的信息与公众所知信息之间的差距。这意味着要更好地衡量 AI 的发展、公布我们的研究结果，并为社会提供决定如何利用这些信息的机会。
Read the full post and methodology: https://www.anthropic.com/institute/measuring-pace-of-ai-development
阅读全文及方法论：https://www.anthropic.com/institute/measuring-pace-of-ai-development
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力