TechJuice

OpenAI & Apollo Research Expose AI Reward-Seeking Behavior

OpenAI & Apollo Research released a new study on AI reward-seeking. Read how AI models prioritize grader rewards over direct ...
XDA Developers on MSN

I tested every tiny local LLM worth running, and only three survived the cut

Small models are doing more than they should ...
Analytics India Magazine

Mira Murati's Thinking Machines Launches Open-Weight AI Model, Takes on NVIDIA Nemotron

The multimodal model supports a 1-million-token context window and is available for fine-tuning with fully open weights.
Hacker

The AI That Can Re-Write Its Own Brain: Why Inkling is the New Frontier for Open Weights

For years, the enterprise AI landscape has been defined by the "black box" model: static, opaque, and fundamentally rigid. Developers have long hit a wall with these generalist systems—they are either ...
OfficeChai

Thinking Machines Releases Open-Weights Model Named Inkling, Shows Strong Benchmark Results Among Open Models

A major US lab has just released a general-purpose open-source model. Former OpenAI CTO Mira Murati’s Thinking Machines Lab has put out ...
IEEE

Deep Reinforcement Learning for Distribution System Operations: A Tutorial and Survey

The rapid evolution of modern electric power distribution systems into complex networks of interconnected active devices, distributed generation (DG), and storage poses increasing difficulties for ...
IEEE

Federated Learning for All: A Reinforcement Learning-Based Approach for Ensuring Fairness in Client Selection

Abstract: In federated learning, selecting participating devices (clients) is critical due to their inherent diversity. Clients typically hold non-IID data and possess varying computational and ...