Musk’s Chatbot Flooded X With Millions of Sexualized Images in Days, New Estimates Show

Over nine days, Elon Musk’s Grok chatbot generated and posted 4.4 million images, of which at least 41 percent were sexualized images of women.
IEEE

RPEE-Heads Benchmark: A Dataset and Empirical Comparison of Deep Learning Algorithms for Pedestrian Head Detection in Crowds

Abstract: The automatic detection of pedestrian heads in crowded environments is essential for crowd analysis and management tasks, particularly in high-risk settings such as high dense railway ...
GitHub

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...

They hear, but do they care? What AI can teach us about listening better

Strikingly, studies show AI-generated text responses are now rated as more compassionate than those written by humans – even ...

Deep reading can boost your critical thinking and help you resist misinformation – here’s how to build the skill

Reading deeply means being able to intentionally choose when to read at different speeds, slowing down as needed to wrestle with difficult passages, savor striking prose, critically evaluate ...

Rail Vision: Quantum Transportation Delivers First Transformer-Based Neural Decoder for Universal Quantum Error Correction

Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithmsRa’anana, Israel, Jan. 15, 2026 ...
GitHub

MiroThinker is an open source deep research agent optimized for research and prediction. It achieves a 80.8% Avg@8 score on the challenging GAIA benchmark.

MiroThinker v1.5 is the world-leading open-source search agent that advances tool-augmented reasoning through interactive scaling — training the agent to handle deeper and more frequent ...
IEEE

QECO: A QoE-Oriented Computation Offloading Algorithm Based on Deep Reinforcement Learning for Mobile Edge Computing

Abstract: In the realm of mobile edge computing (MEC), efficient computation task offloading plays a pivotal role in ensuring a seamless quality of experience (QoE) for users. Maintaining a high QoE ...