The post-training revolution: How reinforcement learning is upending the AI infra stack

TechCrunch was proud to host Scale Venture Partners at Disrupt 2025 in San Francisco. Here’s an overview of their AI Stage session.  The reinforcement learning market has exploded, with enterprises ...
The Robot Report

AgiBot deploys its Real-World Reinforcement Learning system

AgiBot said its Real-World Reinforcement Learning system lets robots learn new skills in minutes on a pilot production line.
Deep Learning with Yacine on MSN

Group Relative Policy Optimization (GRPO) Explained – Formula and PyTorch Implementation

Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python ...

AgiBot Makes History: First Robot to Learn Directly on the Factory Floor

AgiBot builds world’s first real-world deployment of reinforcement learning in industrial robotics, bringing self-learning AI to manufacturing ...
eLife

Critique of impure reason: Unveiling the reasoning behaviour of medical large language models

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Cognizant's AI Lab Announces Breakthrough Research for Fine-Tuning LLMs and Records its 61st U.S. Patent Issuance

Cognizant (Nasdaq: CTSH) today announced a breakthrough from its AI Lab that introduces a novel, efficiency-focused method ...

Thinking Machines challenges OpenAI's AI scaling strategy: 'First superintelligence will be a superhuman learner'

Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...

Inside Ring-1T: Ant engineers solve reinforcement learning bottlenecks at trillion scale

Ant Group, an affiliate of Alibaba, released Ring-1T which it says is the first trillion parameter open-source model.

The AI bubble: What it can & cannot do

In today's tech landscape, AI startups are emerging at breakneck speed, captivating investors' attention. Yet, a shadow looms ...
The Information

Is Andrej Karpathy Right About Overhyped AI?

Andrej Karpathy, one of the founding members of OpenAI, on Friday threw cold water on the idea that artificial general ...
marktechpost

RA3: Mid-Training with Temporal Action Abstractions for Faster Reinforcement Learning (RL) Post-Training in Code LLMs

TL;DR: A new research from Apple, formalizes what “mid-training” should do before reinforcement learning RL post-training and introduces RA3 (Reasoning as Action Abstractions)—an EM-style procedure ...
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 ...