Show HN: AI Timeline – 171 LLMs from Transformer (2017) to GPT-5.3 (2026) (llm-timeline.com)

A new project titled "AI Timeline" showcases the evolution of 171 large language models (LLMs) from the revolutionary Transformer architecture introduced in 2017 to the anticipated GPT-5.3 expected in 2026. This timeline highlights key milestones, including the inception of generative models like GPT and pivotal advancements such as the development of Mixture of Experts (MoE) architectures, which allow for efficient scaling of models up to 1.6 trillion parameters. Significant models documented include Meta's LLaMA, Anthropic's Constitutional AI, and various open-source innovations that have propelled the AI community forward, particularly in multilingual and multimodal applications. The importance of this timeline for the AI/ML community lies in its comprehensive overview of the rapid advancements and milestones that have shaped the landscape of natural language processing (NLP). By organizing these developments chronologically, it provides insights into the scalability and improved capabilities of modern LLMs, including their ability to perform complex reasoning tasks and adhere to human-aligned instruction through reinforcement learning from human feedback (RLHF). The timeline serves not only as an educational resource but also as a reflection of the ongoing collaborative efforts in AI research, fostering further exploration and innovation in the field.