Petals: Run 100B+ language models at home bit-torrent style (github.com)

Article summary

Petals is a system that allows users to run large language models at home, similar to BitTorrent, by loading a small part of the model and joining a network of people serving the other parts. This approach enables fine-tuning and inference up to 10x faster than offloading. The system is designed for interactive applications such as chatbots and can process sensitive data in a private swarm. Petals relies on people sharing their GPUs to serve the models.

Main themes

• decentralized tech
• blockchain and crypto
• Petals and language models
• security and privacy
• incentives and tokenomics
• complexity and scalability

What commenters say

• Decentralized tech has been overshadowed by the crypto and blockchain trend, which has created a lot of noise and bubbles.
• The potential for financial gain has driven the development of decentralized tech, but it has also attracted scammers and bad actors.
• Some argue that blockchain and tokenomics are necessary for decentralized applications to guarantee the availability of content and provide incentives for participation.
• Others believe that blockchain adds unnecessary complexity and that decentralized tech can thrive without it, citing examples such as BitTorrent and the fediverse.
• The use of blockchain for security is debated, with some arguing that it provides a secure and traceable way to process sensitive data, while others see it as a potential issue due to the permanence of stored data.
• The effectiveness of staking as a mechanism to prevent malicious behavior is also questioned, as it may not be a sufficient deterrent for bad actors.
• Decentralized tech can be useful for applications beyond cryptocurrency and blockchain, such as distributed file sharing and computation.
• The signal-to-noise ratio in the decentralized tech space is currently low, with many projects being overly focused on tokenomics and lacking in substance.