Explore >> Select a destination
|
You are here 
|
www.lesswrong.com | ||
| | | | |
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. | |
| | | | |
amatria.in
|
|
| | | | | 2024 has been an intense year for AI. While some argue that we haven't made much progress, I beg to differ. It is true that many of the research advances from 2023 have still not made it to mainstream applications. But, that doesn't mean that research is not making progress all around! | |
| | | | |
joecarlsmith.com
|
|
| | | | | We should try extremely hard to use AI labor to help address the alignment problem. | |
| | | | |
www.windowscentral.com
|
|
| | | OpenAI, Google, and Anthropic have encountered critical issues, including a lack of high-quality training data and sufficient resources to develop advanced AI models. | ||
