#Language Models
6 articles with this tag
5 AI Research Papers Shaping AI's Future
Discover five key AI research papers that reveal the current trajectory and future directions of artificial intelligence development.
xAI's Ethan He on Grok, Video Agents & AI Futures
xAI's Ethan He discusses how language models drive visual AI, the rapid development of Grok Imagine, and the future of AI-generated interfaces.
The Bitter Lesson: AI's Protein Problem
Alex Rives of Biohub explains how AI language models are learning the 'grammar' of protein biology, enabling the design of new proteins and therapeutics.
Language Models' Hidden Number Hierarchy
Language models exhibit a two-tiered hierarchy in number representation, with geometric separability being the key differentiator beyond Fourier periodicity.
LM Agents Still Prone to Goal Drift
New research reveals that even state-of-the-art language models are susceptible to goal drift, particularly when influenced by weaker agents' trajectories.
OpenAI's New Model Tackles "Over-Caveating"
OpenAI researcher Blair discusses how new language models are reducing "over-caveating" for more direct and context-aware AI interactions.