MeMo's memory model lets teams upgrade their LLM without retraining it — and performance jumps 26%

Researchers' MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining it and see a 26% ...
NextBigFuture

Progress to Continual Learning AI

2025 saw a tripling of continual learning LLM papers according to arXiv trends. This is driven by foundation model scale and multimodal extensions. However, no flagship AI released models (GPT-5, Grok ...
NextBigFuture

AI Legend Sutton Wrote the Bitter Lesson- Gives His Suggestions for True Continual Learning

Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to achieve goals. It is rooted in a stream of ...
Forbes

Advancing AI By Nesting Minds Inside The Layers Of Machine Learning And LLMs

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. We need to give airtime to new AI architectures if we want to ...
Nature

Agentic AI Systems

Recent advances in artificial intelligence are driving a transition from models that primarily respond to prompts toward agentic systems that act: they perceive, reason, plan, and adapt over time. As ...
Forbes

Making LLMs Smart With Transformers: It’s A Really Big Deal

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Think about what LLMs do in practice. They power ever-evolving chatbots, AI “entities” that ...
Computer Weekly

Pathway builds truly native reasoning model to solve LLM Sudoku stumbling blocks

The latest trends in software development from the Computer Weekly Application Developer Network. Pathway is a post-transformer AI lab that claims to be delivering a faster path to AGI through true ...
InfoWorld

Maximizing speed: How continuous batching unlocks unprecedented LLM throughput

Think of continuous batching as the LLM world’s turbocharger — keeping GPUs busy nonstop and cranking out results up to 20x faster. I discussed how PagedAttention cracked the code on LLM memory chaos ...