How Google’s 'internal RL' could unlock long-horizon AI agents

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
eLife

A unifying account of replay as context-driven memory reactivation

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.
Analytics India Magazine

Complex Reinforcement Learning Tasks Can Cost Up to $20,000 Each: EpochAI Report

Among those interviewed, one RL environment founder said, “I’ve seen $200 to $2,000 mostly. $20k per task would be rare but ...

Global AI Use Case Report Highlights Emerging Opportunities Across Industries

Exploring How Generative AI, Edge AI, and Quantum Machine Learning Are Revolutionizing Healthcare, Finance, Logistics, and Media With Real World Solutions and Expert Insights”Boston, Jan. 12, 2026 ...

Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

True agentic AI is years away - here's why and how we get there

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
marktechpost

This AI Paper from Stanford and Harvard Explains Why Most ‘Agentic AI’ Systems Feel Impressive in Demos and then Completely Fall Apart in Real Use

Agentic AI systems sit on top of large language models and connect to tools, memory, and external environments. They already support scientific discovery, software development, and clinical research, ...
Wall Street Journal

CEOs Are Learning to Live With Trump’s Turn to State Capitalism

Last week Nvidia finally got permission to sell one of its most advanced semiconductor chips to China. The catch: The federal government will take 25% of the revenue from those sales. The Nvidia deal ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
People

Joe Walsh Reveals the Surprising Way He Ended Up Learning Morse Code as a Kid: 'That's All I Did'

The Eagles guitarist previewed his auction items at The Troubadour in Los Angeles on Monday, Dec. 8 Ilana Kaplan is a Staff Editor at PEOPLE. She has been working at PEOPLE since 2023. Her work has ...
The Robot Report

AgiBot deploys its Real-World Reinforcement Learning system

AgiBot announced a key milestone this week with the successful deployment of its Real-World Reinforcement Learning system in a manufacturing pilot with Longcheer Technology. The pilot project marks ...
IEEE

Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications

Abstract: Integrating learning-based techniques, especially reinforcement learning, into robotics is promising for solving complex problems in unstructured environments. Most of the existing ...