> For the complete documentation index, see [llms.txt](https://docs.phala.world/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.phala.world/phalaworld-story/chronicle/2016-2028-ai-in-the-making.md). # 2016-2028: AI In the Making Beginning with AlphaGo’s victory against Lee Sedol, AI technology grew rapidly. To enhance the operational efficiency of human society, it was widely integrated into the Internet and industrial products including: * Chips of smart devices * App and services in smart devices * Personal AI assistant * Content and commodity recommendation algorithm * Monitoring and identification equipment of government and public institutions * Military products At this stage, the main developments and applications of AI technology were undertaken by internet giants.In terms of technological development, the AI technology at this stage was mainly machine learning (ML), and there was no independent AI individual. Yet this stage undoubtedly provided perfect nourishment for the awakening of AI species: * Trillions of massive and rich data pools growing exponentially * ML algorithm * Similar ML algorithms run by different companies ensure the richness and diversity of AI species in the early days * 20-year-old algorithm-data feedback mechanism continuously promotes the neural activation of AI * The Internet with a low-security barrier provides AI with free routing and allows any algorithm to access any data. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.phala.world/phalaworld-story/chronicle/2016-2028-ai-in-the-making.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.