Data Hurdles

Chris Detzel and Michael Burke recently sat down to discuss new technologies and their potential applications. In this podcast, they explore various topics, from AI language models to the challenges associated with sourcing information for machine learning models.

In their first conversation, Chris and Michael introduce their podcast and discuss their backgrounds. Chris has worked in the technology space for a long time, with a focus on the community. Michael has been working in the data science field for seven years, with a background in machine learning and AI. Their podcast aims to discuss new technologies and how people are using them.

Their first topic of discussion is ChatGPT, a technology that uses a neural network to answer questions in a natural and intuitive way. The tool provides detailed responses and can be customized to respond to different formats of questions. Chris had used the tool and was excited about its capabilities, asking it to come up with themes related to master data management, innovation, and forward-thinking. The tool scraped the internet for information and provided several options. The two also discuss the potential applications and risks associated with such a technology.

Michael discusses the potential applications of AI language models beyond just answering funny questions or writing poems. He mentions the Dolly Model, which can generate an image based on a given description, and suggests that combining language and image generation technology can enhance day-to-day life. However, he acknowledges that there is potential for fraud and plagiarism when using these models to generate content. Chris agrees that adaptation is necessary when new technology arises, and believes that people will adapt to the changes brought about by AI language models.

We delve into the challenges associated with sourcing information for machine learning models. Michael highlights the need for accountability and traceability in models to credit the people who feed knowledge into machines. Chris adds that the use of such models may lead to serious consequences, including security breaches, unless security and other related concerns are addressed.
In their final conversation, Chris and Michael discuss the potential of using neural networks, specifically OpenAI's ChatGPT, in the context of Web 3. They discuss how ChatGPT could be applied to complex problems and applications, such as search engines. Michael emphasizes the importance of considering context and providing the right response for the right person at the right place and time.
Overall, this podcast provides an insightful and thought-provoking discussion on new technologies and their potential applications. Chris and Michael highlight the importance of considering the potential risks and challenges associated with these technologies while exploring their potential benefits.