Learn Machine Learning
Anthropic releases Claude Opus 4.1 with breakthrough performance, achieving 97.5% on HumanEval and 98.7% on GSM8K. Features enhanced reasoning capabilities and improved long-context understanding.
Read more →OpenAI unveils GPT-5, breaking the 98% barrier on HumanEval with 98.2% and achieving 99.1% on GSM8K. The model demonstrates unprecedented capabilities in code generation and mathematical reasoning.
Read more →Stanford HAI's AI Index reveals AI now surpasses human performance on several benchmarks including image classification, visual reasoning, and English understanding, but still lags in complex tasks like math and planning.
Read more →New technique reduces transformer computational requirements by 50% while maintaining performance through conditional computation.
We present Constitutional AI (CAI), a method for training harmless AI assistants without human feedback labels for harms...
Enhanced multi-task benchmark with 10x more challenging questions across 57 subjects
| Top Model | GPT-5 |
| Score | 94.8% |
| Updated | 2025-08-14 |
Key breakthroughs in machine learning from 1943 to present. Hover over points to explore.
Explore the broader implications and philosophical aspects of artificial intelligence development.
The hypothesis that AI capabilities could improve exponentially once a critical threshold is reached, leading to superintelligence in a short timeframe.
Explore concept →The idea that AGI could be humanity's final invention, as it would be capable of making all subsequent discoveries and innovations itself.
Explore concept →Understanding the compound effects of AI advancement and its implications for society, technology, and human progress.
Explore concept →Analysis of how artificial general intelligence could transform labor markets, wealth distribution, and global economic systems.
Explore concept →The challenge of ensuring advanced AI systems pursue goals that are beneficial to humanity and aligned with human values.
Explore concept →The theoretical point where AI becomes capable of recursive self-improvement, potentially leading to rapid acceleration of intelligence.
Explore concept →machinalearning provides comprehensive machine learning education through interactive visualizations and structured lessons. From fundamental concepts to cutting-edge research, all content is freely accessible.
The curriculum covers neural networks, optimization, reinforcement learning, generative AI, transformers, RAG systems, and agentic AI. Each concept includes interactive demos for hands-on understanding.