The podcast features a discussion with the co-founders of Giza, an end-to-end platform that aims to bring AI onto the blockchain. The conversation revolves around the potential of AI in the blockchain space, the lifecycle of AI, and the use cases of AI in Web 3.
- AI on Blockchain: The co-founders of Giza believe that AI should be on-chain. They argue that AI on the blockchain can provide a complex set of parameters and one output, making it useful in various applications.
- Proof-of-Humanity: Giza is working on a system that uses machine learning to analyze different data sources and authenticate the “humanness” of a certain account. This system aims to make the process scalable and context-free for deployment.
- Open Source AI Models: Giza is focusing on open-source AI models. They believe that the open-source nature of these models can lead to a surge in innovation and provide an alternative path for machine learning engineers and inventors who do not align with tech giants.
- Lifecycle of AI: The co-founders believe that AI has just hit the mainstream, and its evolution will be faster in terms of the applications that will be made on top of these models.
- Verifiable Machine Learning: They anticipate a new turn in AI where verifiable machine learning will be key to enable the regulation of machine learning in high-value industries. This will establish a link of accountability between a model and its output.
- Bullish: The co-founders of Giza are bullish on the integration of AI and blockchain. They believe that AI on the blockchain can lead to a surge in innovation and provide an alternative path for machine learning engineers and inventors.
- Neutral: There is a neutral sentiment towards the lifecycle of AI. While they believe that AI has just hit the mainstream, they also acknowledge that its evolution will be faster in terms of the applications that will be made on top of these models.
- Bearish: No bearish sentiment was expressed in the podcast.