In the meeting, various participants, referred to as "State Changers", pondered on the future of AI and how companies can leverage it to solve unique problems rather than focusing on problems that have already been solved many times over. They discussed the challenges of staying competitive when many companies are accessing similar data sets and using similar technology.
They delved into how tech companies, including those using platforms like Xano, can create incredible solutions but often are not very defensive, meaning a well-funded startup can quickly replicate their product. They further elaborated on the idea that technical knowledge is a commodity, and how AI can allow this commodity to be distributed and applied more efficiently. They likened software to a more repeatable, scalable form of knowledge – it's there to solve problems without the need for constant human intervention. Among the AI technologies discussed was GPT, the probabilistic language model that generates human-like text. Although powerful, its limitations were acknowledged, particularly when dealing with more expert or specialized knowledge. The State Changers also touched on the importance of data in fine-tuning AI models. The discussion made clear that while the general models built on Wikipedia or similar databases are incredibly valuable, it's the unique data provided by individual companies or users that can give an edge and make AI tools more personalized and effective. Finally, they discussed the value that can be created through a fusion of quality and relevant data, a powerful analytical engine (like an AI model), and effective marketing. Companies often focus on one or two of these areas, but the participants agreed that synergizing all three yields the greatest results. The meeting will be of interest to those looking into the potential of AI, the utilisation of unique and high-quality data, and the dynamics of competition within the technology realm.
(Source: Office Hours Extra - OpenAI 2/10 )
