Where Crypto and AI Meet | Featuring Akash, Bittensor, Gensyn & DCG (April 26, 2023)

TL;DR

Experts discuss the importance of decentralized open AI, the challenges it faces, and the potential impact on society.

Transcript

foreign cool so I've been looking forward to this conversation I think for weeks now um just just so the people in the room I'm Matt back I'm director of Investments at dcg I've been in the space for about seven years now and so I've seen a lot over the years and I can confidently say that this is one of the periods of time in this market that I've... Read More

Key Insights

• 🔍 Open-source AI: The panelists are passionate about open-source AI and believe that it is crucial to have a decentralized and accessible system, free from regulatory capture and monopolistic control. They emphasize the importance of owning the narrative and shaping the conversation around the benefits of open-source AI.
• 💡 Potential challenges: The panelists highlight several challenges for open-source AI, including regulatory capture and the need for decentralized access to resources like GPUs. They believe that the biggest threats to open-source AI come from regulatory restrictions and the monopolistic practices of existing AI giants.
• 💻 Attracting AI engineers: The panelists discuss the need to draw more AI engineers into the intersection of AI and Web3. They suggest that providing access to cutting-edge technology, like h100 GPUs, which are in high demand but hard to access, can attract AI engineers to decentralized platforms like Akash Network. They also emphasize the importance of meeting developers where they are, providing user-friendly interfaces, and accepting fiat payments to onboard more engineers.
• 🌍 Democratising AI: The panelists emphasize the potential of decentralized AI in extending human intelligence and pushing civilization forward. They argue that open-source AI can prevent neofeudalism and allow individuals to have control and access to the tools of AI. They believe that decentralized AI can create a more democratic and equitable future.
• ⚙ Technical challenges: The panelists discuss the need for cryptographic proofs, verifying deep learning, and training neural networks across heterogeneous devices. They stress the importance of solving technical issues related to hardware and ensuring compatibility with different chips and architectures.
• 💥 Exciting developments: The panelists reveal their excitement about upcoming projects and developments. One of the highlights mentioned is the imminent launch of a 2.7 billion hyper-parameter model with an 8K sequence length, offering a significant improvement over existing models. They also express enthusiasm for a viable open-source cloud like Akash, which provides a non-custodial, permissionless, and censorship-resistant platform for developers.
• 🚀 The future of AI: The panelists envision a future where AI becomes commoditized, accessible to everyone, and integrated into our daily lives. They believe that open-source AI and decentralized systems have the potential to revolutionize the human experience, pushing the boundaries of what is possible and transforming society in unimaginable ways.

Questions & Answers

Q: Why is it important to ensure that AI technology is decentralized and open-source?

Ensuring that AI technology is decentralized and open-source is crucial to prevent a concentration of power in the hands of a few and to promote accessibility and innovation. By decentralizing AI, it allows for collective intelligence and democratizes access to AI tools and resources.

Q: What are the challenges in verifying deep learning and training?

Verifying deep learning and training is challenging due to the probabilistic nature of neural networks and the difficulty in assessing intermediate stages of training. It requires cryptographic proofs and reproducibility research to ensure transparency and trust in the process.

Q: How can decentralized open AI attract more machine learning engineers?

To attract machine learning engineers, decentralized open AI needs to focus on providing accessible and cost-effective solutions. This can be done by offering access to state-of-the-art hardware, like H100 GPUs, and simplifying the onboarding and payment processes. Additionally, showcasing the benefits and potential of decentralized open AI can help draw more engineers into the field.

Q: What is the potential impact of decentralized open AI on society?

Decentralized open AI has the potential to democratize access to AI tools and resources, promote innovation, and prevent an oligopoly of power in the AI industry. It can empower individuals, foster economic growth, and ensure that the benefits of AI are distributed more evenly. Ultimately, it can shape the future of society by providing more opportunities and possibilities for everyone.

Summary & Key Takeaways

• Open AI faces the challenge of regulatory capture, where regulations could be put in place to make open source AI illegal.

• Verifying deep learning and training is another challenge, as neural networks are probabilistic and state-dependent.

• Attracting machine learning engineers to the intersection of AI and Web3 is crucial for the success of decentralized open AI.