"強烈反對"公司反華言論,姚順宇宣布跳槽

日期: 2025-10-09 | 來源: 環球時報 | 有0人參與評論 | 字體: 小中大
Then it mainly comes down to AI or QC(quantum computing). Although I believe QC will become important in the future, my impression is the bottleneck now is mainly experimental platforms. Thus I choose AI, which is interestingly similar to physics research as follows:

於是主要就在人工智能和量子計算之間做選擇。雖然我相信量子計算將來會變得重要，但我的印象是目前的瓶頸主要在實驗平台。因此我選擇了人工智能，有趣的是，它在以下方面與物理學研究相似：

How does working on AI feel as a physicist?

作為一名物理學家，從事人工智能的工作是什麼感覺？

In some sense, it is similar to research on thermodynamics during the 17th century. Back then, people didn’t even know what was heat: in fact people still believed in Phlogiston theory. But this does not stop people from experimenting scientifically. For example, Boyle’s law tells the relationship between pressure and volume when temperature is fixed. Thus by designing experiments systematically, people still learnt enough ‘laws’, which guided the invention/study of heat engine that changed the word.

在某種意義上，這與 17 世紀對熱力學的研究類似。那時，人們甚至不知道什麼是熱：事實上人們仍然相信燃素說。但這並不妨礙人們進行科學實驗。例如，玻意耳定律描述了在溫度固定時壓力與體積的關系。因此，通過有系統地設計實驗，人們仍然學到了足夠多的“定律”，這些定律指導了熱機的發明/研究，從而改變了世界。

From my naive point of view, it is similar in large scale AI models. On one hand, we still don’t have reliable theory or models describing the behavior of large neural networks. On the other hand, systematical research start to tell us lots of valuable lessons, eg scaling law. (And having those systematical research is becoming an essential element for making constant progress at large scale.)

從我天真的觀點看，大規模人工智能模型在很大程度上也類似。一方面，我們仍然沒有可靠的理論或模型來描述大型神經網絡的行為。另一方面，有系統的研究開始告訴我們許多有價值的經驗，比如尺度定律。（而且擁有這些系統性研究正成為在大規模領域持續取得進展的一個重要要素。）

Why Anthropic, and why leaving?

為什麼選擇 Anthropic，又為什麼離開？

Even though I left anthropic, I still view ant as (one of) the best place for physicists(maybe also other STEM background PhD) to start their journey in AI research. I joined anthropic on Oct.1st 2024, when we start to do research for the later called Claude 3.7 sonnet. After being a physicist for many years, it was so exciting to see your research getting impact on the frontier model capability immediately, and witnessing people’s way of interacting with AI changes as new capabilities emerge.

盡管我離開了 Anthropic，我仍然認為 Anthropic 是物理學家（也可能包括其他理工科背景博士）開始 AI 研究之旅的最佳去處之一。我在 2024年10月1日加入Anthropic，當時我們開始為後來被稱為Claude 3.7 Sonnet的模型做研究。作為多年的物理學者，看到自己的研究立即對前沿模型能力產生影響，並目睹隨著新能力出現人們與AI互動方式的改變，令我感到非常興奮。
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