AI Eye: Real Applications of AI in Cryptocurrency, Google’s GPT-4 Competitor, AI Enhancement for Underperforming Employees
AI Eye recently attended Korean Blockchain Week and Token2049 events in Singapore to explore how real projects are leveraging AI in the cryptocurrency space. Let’s delve into some key highlights:
1. Maker’s AI Governance: Rune Christensen, the founder of Maker, is looking to revamp his decade-old project with sub-DAOs employing AI governance. This approach involves using AI for coordination and communication within the project, creating a shared language for diverse contributors to collaborate effectively.
2. Provenance on Blockchain: Illia Polosukhin, founder of Near, is interested in using blockchain to establish content provenance. This system aims to differentiate between authentic content and AI-generated content, incorporating cryptography for reputation and verification.
3. AI in Content Moderation: Sebastien Borget from The Sandbox highlighted the use of AI for content moderation in gaming, making in-game conversations more inclusive and eliminating toxicity. The project is also exploring AI’s potential in music, avatar generation, and user-generated content for world-building.
4. AI Models as Tokens: Vance Spencer, the founder of Framework Ventures, discussed the novel idea of training AI models and selling them as tokens on the blockchain. Framework Ventures has invested in AI Arena, a game where players train AI models to compete.
5. AI and Crypto Ideologies: Peter Thiel’s perspective on AI and crypto was brought up, where he suggests that AI could be seen as a technology of control, while crypto promotes decentralization and individualization. Thiel argues that AI may serve centralized control, while crypto aligns more with libertarian ideals.
6. Roblox’s AI Assistant: Roblox introduced “Assistant,” allowing users to build virtual assets and write code using generative AI. This feature aims to simplify game development and may eventually generate complex gameplay and 3D models.
7. AI Enhancing Worker Performance: Boston Consulting Group’s study revealed that AI tools benefit below-average workers the most, improving their productivity by 43%. However, above-average workers saw a smaller increase of 17%. Workers who used AI beyond its current capabilities performed 20% worse.
8. Google’s Gemini: Google is nearing the release of Gemini, its competitor to OpenAI’s GPT-4. Gemini aims to offer text and image generation capabilities, enabling contextual image creation and potentially controlling software and analyzing charts.
9. AI in Urban Planning: Researchers at Tsinghua University in China developed an AI system for city planning aligned with the concept of “15-minute cities.” The AI demonstrated the ability to perform tedious tasks efficiently, improving human designs in terms of service accessibility, green spaces, and traffic.
10. Stephen Fry’s AI Voice Clone: Stephen Fry shared an incident where his voice was cloned by AI without his knowledge. This raises concerns about AI-generated content and its impact on actors and writers in the entertainment industry.
In addition to these highlights, the AI landscape continues to evolve:
- Meta is working on a powerful AI model to compete with GPT-4.
- Microsoft has open-sourced EvoDiff, an AI for designing medical proteins.
- Several tech giants and organizations are committing to responsible AI development.
- U.S. Senators received a private briefing on AI risks from industry leaders.
- ChatGPT’s traffic has experienced some declines.
- Finnish prisoners are being paid to train AI models.
- The U.S. leads in AI startups and investment.
These developments highlight the growing impact of AI in various industries and its role in shaping the future.
