> For the complete documentation index, see [llms.txt](https://academy.autonomys.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.autonomys.xyz/additional-learning/ai-agentics.md). # AI & Agentics AI Changes Everything For an increasing number of individuals, the realization that artificial intelligence (AI) is reshaping our world grows more evident daily, at a pace surpassing both laypeople's and experts' expectations. Discussions on Artificial General Intelligence (AGI) – AI with human-equivalent capabilities – have shifted from whether it will occur to when. Some argue it might already exist within research laboratories, yet remains undisclosed. The of Artificial Super Intelligence (ASI) can swiftly follow: an evolution that represents a shift from machines that can perform any intellectual task that a human being can (Artificial General Intelligence - AGI,) to machines that surpass the cognitive performance of humans in virtually all domains of interest (Artificial Super Intelligence - ASI) seems inevitable, particularly considering the prospects of recursive self-improvement and intelligence explosions.
A graph from a presentation by NVIDIA's Head of Research – representing one of the world's highest-valued companies – illustrates an impending surge in technological intelligence, likened to the sharp upturn of a hockey stick, signaling an unparalleled era of transformation set to unfold at unprecedented speed. Yet, this future brings uncertainties, particularly in managing negative repercussions, trust issues, and the potential for increased centralization. The challenge of aligning AI's goals with human values persists, presenting a significant dilemma amidst anticipated changes. Despite abundant theories and conjecture, the future remains uncertain, highlighting a unique, simultaneously exhilarating and daunting period in our history. At this critical juncture, the future of AI is not predetermined, offering multiple potential paths shaped by our influence. In summary, we stand at a pivotal moment, capable of steering the future direction of AI, amidst a landscape filled with both promise and ambiguity. --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://academy.autonomys.xyz/additional-learning/ai-agentics.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.