Making Advisors (avc.xyz)

Recent discussions among founders have centered on the innovative concept of training AI to create virtual advisors, with various applications emerging in this space. One prominent idea involves training an AI on the collective knowledge of notable figures—such as board members, chief marketing officers (CMOs), or chief financial officers (CFOs)—by aggregating their public contributions, including speeches and writings. This AI could then simulate advice or decision-making processes similar to those of real advisors, potentially transforming the way businesses seek guidance in strategic matters. This development is significant for the AI/ML community as it opens up new avenues for leveraging large language models (LLMs) like Gemini, ChatGPT, Claude, and Qwen. By encapsulating the expertise of established leaders, these virtual advisors could democratize access to knowledge that may otherwise be difficult for smaller organizations to obtain. Furthermore, as startups venture into creating tools that simplify this training process, we may see an increased adoption of AI-driven advisory capabilities, helping companies navigate complexities without needing to recruit traditional advisors.