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 ...
Seeking Alpha

Nvidia's $10 Trillion+ Roadmap: Reinforcement Learning And Synthetic Data

AI scaling faces diminishing returns due to the growing scarcity of high-quality, high-entropy data from the internet, pushing the industry towards richer, synthetic data. Nvidia is strategically ...
NextBigFuture

Microsoft and China AI Research Possible Reinforcement Pre-Training Breakthrough

Reinforcement Pre-Training (RPT) is a new method for training large language models (LLMs) by reframing the standard task of predicting the next token in a sequence as a reasoning problem solved using ...
Geeky Gadgets

Forget Bigger Models : This AI Breakthrough from Sakana AI Thinks Smarter

What if the key to unlocking the next era of artificial intelligence wasn’t building bigger, more powerful models, but teaching smaller ones to think smarter? Sakana AI’s new “Reinforcement Learned ...