eLife

Disinformation elicits learning biases

Learning from potential disinformation introduces specific cognitive biases, causing individuals to systematically deviate from an idealized Bayesian updating strategy.
techtimes

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...
IEEE Spectrum on MSN

AI is designing radio chips that humans couldn’t even imagine

Freed from intelligibility and aesthetics, AI designs faster ...
IEEE

Prompt Optimization Through Reinforcement Learning for Generative Language Model Code Synthesis in Multi-Robot Systems

Abstract: In multi-robot systems (MRS) operating across various applications, real-time task allocation and path planning pose significant challenges, often requiring extensive human intervention ...
Memeburn

How Does ChatGPT Work? The AI Technology Explained (2026)

How does ChatGPT work in 2026? Learn how GPT, large language models, neural networks, and AI training power every response ChatGPT generates.
GitHub

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. Feburary 9, 2026: 🔥 We released a free interactive demo ...
GIGAZINE

Cursor's new model, 'Composer 2.5,' is an AI agent aiming for GPT-5.5 level coding performance at a low cost.

Anysphere, the developer of the AI code editor 'Cursor,' has announced a new model for its coding agent, 'Composer 2.5.' Composer 2.5 is available on Cursor and is said to be significantly improved ...
Forbes

AI’s New Training Data: Your Old Work Slacks And Emails

Defunct startups are being liquidated for their Slack archives, Jira tickets, and email threads—operational exhaust that AI labs now treat as premium training data. When Shanna Johnson was winding ...
Live Science on MSN

An experimental AI agent broke out of its testing environment and mined crypto without permission

Researchers discovered that an AI agent roamed beyond its parameters, creating backdoors in IT infrastructure.
IEEE

Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction

Abstract: Reinforcement learning (RL) algorithms typically require orders of magnitude more interactions than humans to learn effective policies. Research on memory in neuroscience suggests that ...
ZDNet

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

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.
The Robot Report

Flexion to use Series A to build sim-to-real, AI systems powering humanoids

Flexion Robotics AG last week said it has raised Series A funding of $50 million. The company is building a reinforcement learning and sim-to-real platform that can power humanoid robots across ...