049 | Quasar (SN24): Long-Context Intelligence on Bittensor TAO

🔴 LIVE — In this livestream, we sit down with Gomma, founder of Quasar (SN24), to explore one of the biggest challenges in artificial intelligence today: memory. While traditional large language models struggle to retain information across long conversations and large documents, Quasar is building a decentralized long-context intelligence network on Bittensor capable of processing millions of tokens without sacrificing accuracy or performance. We dive into Quasar's breakthrough approach to long-context AI, including its novel transformer architecture, linear-time attention mechanism, and how it dramatically reduces the computational cost of processing massive inputs. We also explore how miners and validators compete on the Bittensor network to push the frontier of AI memory, enabling models to analyze entire codebases, books, research papers, and enterprise datasets while maintaining near-perfect recall. Beyond the technology, we discuss why long-context reasoning could become one of the most important capabilities for the next generation of AI agents, autonomous systems, and enterprise applications. From software engineering and scientific research to legal analysis and knowledge management, Quasar is building infrastructure that could fundamentally expand what AI is capable of remembering and reasoning about. This conversation explores the future of AI memory, decentralized model training, Bittensor's role in advancing open-source intelligence, and why solving the context problem may unlock the next major leap forward in artificial intelligence. #bittensor #tao #quasar #sn24 #bittensortao #decentralizedai #artificialintelligence #cryptoai #ai #machinelearning #longcontext #llm #opensourceai #crypto #blockchain #web3 #cryptonews #aiinnovation #futureofai #deeplearning #subnets #taoecosystem #aicrypto