Epicenter - Learn About Blockchain, Ethereum, Bitcoin And Distributed Technologies

What began as an AI company trying to seek solutions in order to pay remote (unbanked) workers, Near AI became, in 2018, Near Protocol. Its sharded design was inspired by modern database architecture and large language model (LLM) training. Near Protocol aimed to solve the scalability trilemma, through a modular approach, combining data availability sharding with stateless validation. By abstracting away archaic blockchain standards, Near basically enabled decentralised full stack development and, in terms of UX, a distributed custodial solution via chain abstraction and account aggregation.We were joined by Illia Poloshukhin, co-founder of Near Protocol, to discuss Near’s journey, from AI company to high-throughput L1 blockchain, and how LLM training influenced the modular design choice.Topics covered in this episode:Illia’s background in AI & MLScaling large language models (LLMs) and the role of attentionStochastic Parrot vs. Understanding spectrumFrom Near AI to Near Protocol and the role of LLMsHow N