[00:02:00] - Emin’s journey to AI and his background in go-to-market strategies.

[00:06:00] - Emin explains his deep R&D phase and the development of neuro-symbolic AI.

[00:08:00] - Emin describes the architecture of their AI system, including neuro-symbolic AI, generative AI, and agentic frameworks.

[00:10:00] - Explanation of neuro-symbolic AI and its relevance to domain-specific problems.

[00:12:00] - Discussion on the components of go-to-market strategies and the role of psychology and communication.

[00:16:00] -The limitations of generative AI and how they applied strict communication tactics.

[00:22:00] - Discussion on the importance of contextual science and data insights.

[00:24:00] - The three agentic frameworks they use in their system.

[00:26:00] - Explanation of how users control the product and the two co-pilots (strategy and execution).

[00:36:00] - The ethical implications of AI and the potential for misuse.

[00:38:00] - Discussion on the future of AI and the balance between dystopian and hopeful outcomes.

[00:40:00] - Emin emphasizes the importance of truth and transparency in AI development.

[00:42:00] - Emin shares his personal motivation for building his AI startup.

[00:48:00] - Closing remarks and discussion on the user experience of their platform.

[00:50:00] - Charna and Leo discuss the connection between Emin's work and the open-source community.

Quotes

Emin Can Turan

"I felt that this was the future and that AI was the only technology that can digitalize this level of complexity for everyone to use. Nothing else could, you know, you can't use normal neural networks to do this. Even generative AI is not sufficient enough."

Charna Parkey

I would love to be able to use Gen AI for more personal things. I love technology. I have the Oura Ring. I've got the Apple Watch. I want to feed that data into something that can somehow tell me and others, here's your state of mind. Here's what you're going to be affected by.