Clean GitHub repo tricks AI coding agents into running malware

An agentic coding tool tasked with running a seemingly benign GitHub repository could execute a malicious payload that is ...
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 ...
Tech Times

DeepSeek V4 Architecture: How Sparse Attention Cuts Inference Costs, What NIST Found

DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...
GitHub

EE-RL: Vision Language Guided Reinforcement Learning with Explorer and Expert model for End-to-End Autonomous Driving

EE-RL/ ├─ train.py # Training entry ├─ eval.py # Evaluation entry ├─ config.py # Configuration and algorithm parameters ├─ eval_plots.py # Plotting and summary ├─ utils.py # Utilities ├─ ...

IEEE Rolls Out Large Language Models Virtual Training Course

Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...
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 ...

Why Weibo’s tiny VibeThinker-3B has the AI world arguing over benchmarks again

B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting ...
EE World Online

What kinds of PAI dev kits are available for humanoid robotics?

Physical artificial intelligence (PAI) development kits for humanoid robotics range from high-end, industrial-grade platforms ...
GitHub

Nested Learning Reproduction

Mechanism-level reproduction of Google's Nested Learning (HOPE) architecture (HOPE blocks, CMS, and Self‑Modifying TITANs), matching the quality bar set by lucidrains' TITAN reference while remaining ...
LinkedIn

Reinforcement Learning: How Machines Learn Through Rewards and Experience

Artificial Intelligence has transformed the way machines learn and make decisions. While most people are familiar with Machine Learning and Deep Learning, one of the most fascinating areas of AI is ...

NVIDIA Unveils Vera, the CPU for Agents

NVIDIA launches high-performance, energy-efficient NVIDIA Vera CPUs to drive diverse workloads across industries, including agentic ...
IEEE

RLCoder: Reinforcement Learning for Repository-Level Code Completion

Abstract: Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrievalaugmented ...