Interactive timeline of major artificial intelligence milestones and breakthroughs
Demonstrates rapid iterative improvement in open-source AI, closing the gap between open and closed models through advanced reinforcement learning techniques.
Democratizes advanced AI reasoning capabilities and challenges the closed-source AI paradigm. Briefly became the #1 downloaded app in the US, disrupting the AI industry with cost-effective open innovation.
Democratizes video creation and transforms content production across entertainment, education, and marketing industries.
Advances the state-of-the-art in AI reasoning while maintaining strong safety principles and constitutional AI training.
Enables processing of much longer documents and conversations, revolutionizing document analysis and long-form content generation.
First LLM to achieve human-level performance on professional benchmarks, marking the transition to truly capable AI assistants.
Brings advanced AI to mainstream users worldwide and triggers unprecedented public interest in artificial intelligence capabilities.
Opens AI image generation to millions of users and creators, sparking innovation in digital art and content creation.
Enables zero-shot image classification and becomes foundation for many modern AI image generation and editing tools.
Demonstrates that transformers can excel in computer vision, not just NLP, leading to unified architectures across modalities.
Proves the power of scale in language models and establishes the foundation for the modern LLM era.
Enables the creation of all modern large language models and fundamentally changes how AI processes sequential data.
Demonstrates AI's ability to master intuitive, strategic thinking and sparks renewed global interest in artificial intelligence.
Enables much deeper networks and becomes standard architecture for computer vision, influencing modern deep learning design.
Enables real-time object detection for autonomous vehicles, surveillance, and robotics applications.
Establishes design principles for deep CNNs and becomes widely used as feature extractor in computer vision applications.
Launches the generative AI revolution, enabling realistic image synthesis and laying groundwork for modern AI art and deepfakes.
Revitalizes neural networks and launches the modern deep learning era, transforming computer vision and AI research.
Breaks the "AI Winter" by showing deep networks can work, launching the deep learning revolution that leads to modern AI.
First major demonstration of computer superiority over humans in a complex intellectual task, capturing global attention.