Anthropic 研究员评 Google ATLAS 1.0 报告

Very excited about the release of the ATLAS 1.0 white paper on AI use and the economy. The report is a broad collaboration between @Google & @GoogleDeepMind and covers how our AI is being used at scale. The data set has 15 million de-identified interactions across a large number of surfaces including the Gemini App, API, and Google's AI mode. This broad…

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Very excited about the release of the ATLAS 1.0 white paper on AI use and the economy. The report is a broad collaboration between @Google & @GoogleDeepMind and covers how our AI is being used at scale. The data set has 15 million de-identified interactions across a large number of surfaces including the Gemini App, API, and Google's AI mode. This broad coverage gives us perspective on how AI is used both at work and outside of work. The team did a huge amount of work classifying interactions to specific tasks at work and at home. There are tons of interesting findings in the paper (link below) but here are some of my favorites: 1. Yes, white collar work is overrepresented in work-related AI usage, but it's also being used for a non-white collar work. It's used as a hands on collaborator for diagnostics and troubleshooting. Manual and technical trades tend to use the multimodal features more, images and video, e.g., auto techs and industrial mechanics interpreting complex test results, inspecting machinery for wear, debugging electrical wiring. 2. There is super broad diffusion of AI for almost everything. AI use covers occupations that represent 88% of total US employment, white collar work but also farmers and foresters. 3. AI is creating real value outside of work that GDP statistics may miss. This supports @erikbryn's proposal that GDP will be an incomplete measure of AI's positive impact on society. A huge number of AI interactions are in "productive household activities" such as researching things for the home, interior design, help with tools/appliances etc. Interactions regarding legal services are also highly overrepresented. 4. One of the most overrepresented uses of AI for non-work activities is interacting with the public sector. Activities related to interactions with govt services and civic obligations make up a huge number of interactions, and importantly, many take place outside of business hours. 5. Both #3 and #4 suggest to me that AI will be very useful in helping people navigate complexities and overcoming frictions/barriers in their every day lives. So many conversations about AI focus on labor market impacts, but welfare is not just work, and ATLAS nicely highlights that the broader impact of AI is quite significant. 6. We cover a good deal of global diffusion. English accounts for only 1/3 of global conversations and users engage with AI in their native language for both complex work and non-work tasks. Interestingly, non-OECD countries have a lot more image and video usage. The reason it's called 1.0 is because this is only the beginning. We have a ton of follow up projects in the works. https://t.co/q2bhqoAQi7