Explore our comprehensive AI glossary with over 100 definitions that clarify key AI concepts for better understanding.| flgpartners.com
Reasoning models were as big of an improvement as the Transformer, at least on some benchmarks| epochai.substack.com
Our ML trends dashboard showcases key statistics on the trajectory of artificial intelligence, including compute, costs, data, hardware and more.| Epoch AI
Our director explains Epoch AI’s mission and how we decide our priorities. In short, we work on projects to understand the trajectory of AI, share this knowledge publicly, and inform important decisions about AI.| Epoch AI
We project how many notable AI models will exceed training compute thresholds. Model counts rapidly grow from 10 above 1e26 FLOP by 2026, to over 200 by 2030.| Epoch AI
In recent months, the CEOs of leading AI companies have grown increasingly confident about rapid progress: OpenAI's Sam Altman: Shifted from saying in November "the rate of progress continues" to declaring in January "we are now confident we know how to build AGI" Anthropic's Dario Amodei: Stated in January "I'm more confident than I've ever been that we're close to powerful capabilities... in the next 2-3 years" Google DeepMind's Demis Hassabis: Changed from "as soon as 10 years" in autumn t...| 80,000 Hours
Learn about the impact of Google's AI Overviews on search traffic to better understand how this change might affect your website and how to respond.| Forum One
We investigate four constraints to scaling AI training: power, chip manufacturing, data, and latency. We predict 2e29 FLOP runs will be feasible by 2030.| Epoch AI