According to Oriol Vinyals (@OriolVinyalsML), the foundational paper 'A Neural Conversational Model'—published a decade ago—demonstrated the viability of training chatbots using large neural networks with approximately 500 million parameters (source: arxiv.org/abs/1506.05869, Twitter). This breakthrough laid the groundwork for today's large language models (LLMs), fueling the current surge in AI applications. For crypto traders, this ongoing LLM wave is boosting demand and investor interest in AI-focused cryptocurrency tokens such as FET and AGIX, as the market increasingly values blockchain projects with real-world AI integrations (source: Twitter, industry trend analysis).