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 ...
IT-Online

Data Scientist (Python, Machine Learning, LLMs) – (In Office) CPT – Western Cape Cape Town

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...
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 ...
IT-Online

Data Scientist at Sabenza IT & Recruitment

This is a compelling opportunity to join a market leader where you will work at the intersection of data, machine learning, and business impact, using advanced analytics to drive strategic ...
InfoWorld

Using Visual Studio Code’s ‘air-gapped’ AI model mode

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...
SecurityWeek

Researchers Demo New Claude Code Attack Using Harmless-Looking Repositories to Hijack Developer Machines

Attackers can inject indirect prompts in normal-looking repositories to trick Claude Code into spawning a reverse shell.
Tech Times

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

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
GitHub

Self-supervised Learning of LiDAR 3D PointClouds via 2D-3D Neural Calibration

Official Pytorch implementation of the method NCLR. More details can be found in the paper: Self-supervised Learning of LiDAR 3D PointClouds via 2D-3D Neural Calibration, TPAMI 2025 [arXiv] by Yifan ...
GitHub

[NeurIPS 2025] How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning

All six datasets are already provided. The PEMS-BAY dataset is provided in zip file due to the limitation of file size. You just need to unzip the file in the PEMSBAY folder. Run following commands to ...