This Thursday, @QuasarModels will host a live event on Novelty Search to discuss their development of a decentralized foundation model training system on Bittensor, aimed at creating an open marketplace for long-context AI models. The SN24 subnet facilitates this by coordinating miners and validators who compete to train and publish models, with rewards allocated to the top performers, thereby promoting iterative improvements in model architecture focused on persistent memory and long-context reasoning. The event is scheduled for 9 PM UTC / 5 PM EDT and can be accessed via Bittensor Discord, hosted by @const_reborn.

Bittensor: Bittensor is a decentralized network supporting AI subnets like SN24 for collaborative model development. It enables miners to train models and validators to benchmark them within incentive structures. The news centers on Quasar’s use of this platform for long-context AI marketplace creation.
const_reborn: const_reborn is a key figure in the Bittensor ecosystem, acting as a backer and missionary focused on building decentralized AI infrastructure. They are hosting the scheduled Novelty Search event discussing Quasar Models’ SN24 project. Their involvement ties the event directly to the news announcement.
Quasar Models: Quasar Models operates as Bittensor subnet SN24, focused on decentralized foundation model training for long-context AI. It creates an open marketplace where participants develop and share models overcoming context length limitations. The project is directly featured in the news for its incentive-driven training mechanism on Bittensor.

Open Marketplace: The SN24 subnet coordinates miners and validators to iteratively improve shared long-context models via competitive evaluation and rewards.
Decentralized Training: Quasar prioritizes model architecture advancements for persistent memory and long-context reasoning through its Bittensor subnet incentives.