In this episode, Trevor Robinson and Ira Sharp sit down with Jamison Rotz, the founder of Nearly Human AI, to discuss the current state of natural language processing and the potential of AI in daily life. Jamison talks about the value of AI language models in ideation and content creation but also touches on concerns about the authenticity of the content and the need for proof of life in the age of AI.

The conversation also covers the rise of large language models and how they are changing the machine-learning landscape. Jamison suggests that we should expect more competition in the space with smaller models rather than a fight between big players like OpenAI and Google.

The speakers emphasize the need for responsible AI and discuss the potential risks and benefits of AI, including the importance of investing in workforce skills and domain knowledge. They also delve into the future of prompt engineering and its impact on the information age, including the potential for prompt engineering to revolutionize the way businesses operate and the resulting changes in workforce composition.

The conversation concludes with a discussion of AI and data ethics, including proprietary data, good and bad data, and the ethics surrounding them. Jamison provides information on how to contact Nearly Human AI and himself, making this episode a must-listen for anyone interested in the potential of AI language models and their impact on the future of business.

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Learn more about NearlyHuman.ai