Welcome to the latest episode of the Plain Sight Podcast, where our host Stewart Alsop sits down with Kamron Palizban, Head of Strategy of AI Training at Invisible Technologies. In this insightful conversation, Kamron sheds light on the intricacies of AI training, emphasizing the crucial role of human feedback in refining AI models. The discussion delves into the evolving landscape of AI, exploring topics like synthetic data, self-training AI models, and the future of human involvement in AI development. Join us as we unravel the complexities of AI and understand its profound impact on our world, through the expert lens of Kamron Palizban.

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AI Training Explained

• Definition and Importance: Kamron elaborates on AI training, emphasizing the role of human feedback in improving AI models, especially foundational models.


• Real-World Application: Discussion on deploying AI models in real-world scenarios and the necessary training involved.

Synthetic Data and Self-Training Models

• Prospects of Synthetic Data: Kamron talks about the creation and use of synthetic data in AI training, acknowledging its limitations compared to human diversity.


• Self-Training Models: Exploration of AI models training themselves, including reinforcement learning, and the future of these methods.

Human Role in AI

• Uncertain Future: Kamron shares his thoughts on the evolving role of humans in AI training, predicting significant changes in the coming years.


• Monitoring AI: The critical role of human oversight in AI development and the potential risks of AI functioning without human intervention.

Mechanistic Interpretability

• Understanding AI's Inner Workings: Discussion about how deeply humans can understand AI at a neuron level in neural networks.


• Kamron’s Insights: He shares his perspective on the complexity of AI and the importance of advancing our understanding of neural networks.

AI Training Strategy and Team Dynamics at Invisible Technologies

• Kamron's Background: His journey from head of operations to AI training strategy.


• Team Dynamics: Insights into the team at Invisible Technologies, focusing on creativity, innovation, and the importance of sharing knowledge.

AI and Humanity

• AI's Role in Society: Discussion on the exponential pace of innovation and the role AI plays in it.


• Empowering Creativity: The importance of fostering creativity and experimentation in AI development.

Research and Commercialization

• From Research to Real-World Application: Kamron discusses the path from foundational research in AI to practical applications in various industries.

Future Outlook and Invisible Technologies' Mission

• Invisible’s Impact and Growth: Kamron reflects on the growth of Invisible Technologies and its role in various industries.


• Mission Statement: The aim to lead in understanding, innovating, and standardizing AI training for humanity's benefit.