The Case for User-Owned AI - TOKEN2049 Dubai 2024
Explore the transformative potential of user-owned AI in this compelling talk from TOKEN2049 Dubai 2024. Our speaker, an expert in machine learning and a former Google researcher, delves into the intricacies and implications of decentralizing AI ownership. Drawing from his journey—from developing impactful technology like Transformers at Google to founding a near AI startup—he highlights the pressing need for models that serve users' interests over corporate gains.
At the heart of this discussion lies a breakdown of current AI training processes, revealing the high costs and exclusive infrastructure needed to train large models like GPT-4. The talk examines the biases inherent in AI training datasets, shaped by ethical, legal, and financial considerations of large corporations. These issues, coupled with the opaqueness of AI outputs, underscore the urgent necessity for user-owned AI that aligns with individual values and preserves personal and financial autonomy.
Key insights include innovative proposals for shifting AI development towards user ownership. The speaker presents ideas around cryptographic reputations for data, new reward systems for creators in an AI-driven economy, and the concept of provable inference to ensure outputs align with user expectations. Additionally, he explores intelligent assets in decentralized finance and the potential pitfalls of deploying AI in adversarial environments.
This talk is a pivotal examination of the intersection between AI, blockchain technology, and user empowerment—inviting a future where AI truly serves the people. We encourage viewers to like, comment, and subscribe for more insightful content from TOKEN2049.
