/explore
|
You are here 
|
research.google | ||
| | | | |
blog.evjang.com
|
|
| | | | | There is a subfield of robotics research called "sim-to-real" (sim2real) whereby one attempts to solve a robotic task in simulation, and the... | |
| | | | |
deepmind.google
|
|
| | | | | This has been a year of incredible progress in the field of Artificial Intelligence (AI) research and its practical applications. | |
| | | | |
fodsi.us
|
|
| | | | | [AI summary] The ML4A Virtual Workshop explores how machine learning enhances classical algorithms through data-driven approaches, featuring talks on deep generative models, model-based deep learning, and learning-augmented algorithms. | |
| | | | |
www.greaterwrong.com
|
|
| | | TL;DR:Strong problem-solving systems can be built from AI systems that play diverse roles, LLMs can readily play diverse roles in role architectures, and AI systems based on role architectures can be practical, safe, and effective in undertaking complex and consequential tasks. This article explores the practicalities and challenges of aligning large language models (LLMs[1]) to play central roles in performing tasks safely and effectively. It highlights the potential value of Open Agency and related role architectures in aligning AI for general applications while mitigating risks. | ||
