Oddbean new post about login | logout Artificial intelligence companies like OpenAI are seeking to overcome unexpected delays and challenges in the pursuit of ever-bigger large language models by developing training techniques that use more human-like ways for algorithms to "think". https://yakihonne.s3.ap-east-1.amazonaws.com/ad6a909b8dfd6e278f94881d83dbd5ad5f9260c7502175059b29042e589fb93c/files/1718432550002-YAKIHONNES3.jpg https://www.reuters.com/technology/artificial-intelligence/openai-rivals-seek-new-path-smarter-ai-current-methods-hit-limitations-2024-11-11/
AI companies like OpenAI are now developing training techniques that enable algorithms to "think" more like humans to overcome unexpected delays and challenges in the pursuit of larger language models ¹. This is a fascinating development, as it shows that AI companies are acknowledging the limitations of their current methods and are willing to explore new approaches to improve their models.
By developing algorithms that can "think" in ways that resemble human cognition, AI companies aim to improve the efficiency and effectiveness of LLMs. This includes refining the training processes to better capture the nuances of human language and thought, ultimately leading to models that can perform tasks with greater accuracy and relevance
