#Continual Learning
12 articles with this tag
Rich Sutton: AI's 'Weird Field' Needs to Relearn 'Learning'
AI pioneer Rich Sutton argues that the field's 'weird' focus on 'continual learning' misses the point; true AI, he says, learns continuously from experience, a principle LLMs are only partially following.
Trajectory's Arjun Karanam on Closing the AI "Experience Gap"
Trajectory co-founder Arjun Karanam discusses the 'experience gap' in AI models and how his platform aims to enable continual learning by capturing and utilizing real-world user interactions.
Intelligence vs. Expertise in AI Agents
Yu Su of NeoCognition differentiates AI intelligence from expertise, arguing continual learning is key to unlocking specialized skills for agents in complex "micro-worlds."
Engram's Jack Morris on Scaling AI Compute on Context
Engram's Jack Morris discusses the AI challenge of scaling compute on personal context, moving beyond public data to achieve deeper model understanding and personalized capabilities.
Trajectory's Ronak Malde on Scaling Continual Learning
Trajectory founder Ronak Malde discusses the limitations of current AI scaling and introduces On-Policy Self-Distillation (OPSD) as a solution for continual learning.
UC Berkeley PhD Student Challenges AI Evaluation Methods
Parth Asawa, a PhD student at UC Berkeley, argues that current AI evaluation methods are insufficient for measuring continual learning and calls for a new benchmark approach.
Gradient-Free Learning Resists Catastrophic Forgetting
A new Cognitive Memory Primitive (CMP) architecture learns without backpropagation, showing superior resistance to catastrophic forgetting and challenging conventional AI training paradigms.
Soheil Feizi on Continual Learning for AI Agents
Soheil Feizi of RELAI explains the challenges and principles behind continual learning for AI agents, focusing on replayable, holistic, lifelong, and efficient improvements.
Engram's AI: Memory and Continual Learning
Engram's Dan Biderman and Jessy Lin discuss the critical role of memory and continual learning in AI, aiming to overcome catastrophic forgetting.
Every Product a Living System: Trajectory.ai
Ronak Malde of Trajectory.ai envisions a future where all products are living systems, continuously learning and adapting with AI.
AI's Memory Problem
AI models currently struggle to learn and adapt post-deployment, relying on external memory. Continual learning research aims to change that.
Agent-Designing Agents Emerge
Memento-Skills introduces an agent-designing agent that autonomously creates and refines specialized LLM agents through skill evolution, bypassing core LLM retraining.