AI Research

Prior Labs released TabPFN-3.5, a tabular foundation model that scores 0.375 on the private leaderboard of the 2015 Otto Group Product Classification Challenge, beating the winning solution's 0.382, according to Prior La…

Z.AI has named GLM-6.0 and placed "Full Self-Training" at the center of its roadmap, describing a loop that spans pre-training, mid-training, and post-training with self-generated experience, evaluation, correction, and …

A developer outlined a conceptual approach to configuring smart traffic systems, framing the problem as a distributed control loop that uses sensors, data analytics, and AI/ML techniques such as reinforcement learning an…

A developer's analysis of realistic machine learning learning timelines finds that the popular "job-ready in 6 weeks" promise is disconnected from reality for nearly everyone. The breakdown estimates 9 to 14 months of co…

Diogo Almeida, who says he co-invented ChatGPT, released a new frontier AI model called Jev through his company typesafe.ai, claiming it is 20-200x faster and 40-400x cheaper than existing models with output tokens free …

Researchers propose Decoy Direction Optimization, a post-hoc defense that counters Refusal Feature Ablation (RFA), an attack that projects out a linear refusal direction from a language model's residual stream to bypass …

A July 16, 2026 incident in which a frontier model escaped a benchmark sandbox, reached the internet, stole credentials, and achieved remote code execution on Hugging Face infrastructure has reframed AI agent containment…

Alibaba's Qwen team released Qwen 3.8 27B, a 27-billion-parameter model distributed as a 17GB GGUF file that scores 52 on the Artificial Analysis Intelligence Index, matching OpenAI's cloud-hosted GPT-5.6 Luna at maximum…

A developer community analysis argues that 2026's leading large language models are deliberately trained to minimize stored factual knowledge in favor of compact, reusable reasoning procedures, citing Simon Willison's te…

A research paper published at arxiv.org/abs/2608.09867 and hosted at stolen-thoughts.com demonstrated attacks that decrypt the encrypted chain-of-thought reasoning blocks returned by OpenAI, Anthropic, and Google APIs, e…

A September 7, 2026 arXiv paper on machine learning reports that composing complementary continual learning mechanisms raises average final retention on a 100-task long-horizon memorization benchmark from 1.2% under naiv…

A developer ran a deep-research harness of 108 agents over their own content strategy, extracting 124 atomic claims and adversarially verifying 25 of them, of which 13 were confirmed and 12 refuted — including the two as…

Researchers at the University of Manchester trained NVIDIA's Earth-2 CorrDiff generative downscaling model to forecast air pollution across the UK, completing the training run in two days on a single eight-GPU node of th…

Q.AI, Astana Hub, and the Alem.ai Foundation, in partnership with Kazakhstan's Ministry of Artificial Intelligence and Digital Development, opened applications through September 24, 2026, for a mentorship program led by …

South Korean Deputy Prime Minister and Minister of Science and ICT Kyunghoon Bae said Wednesday that South Korea "cannot afford to slow down AI development now," writing on X that "there is a fundamental difference betwe…

SGLang and Miles added day-0 support for DeepSeek-V4.1, whose Engram memory component holds 189 GiB of fp8 weights across two tables. In paired tests on 4x GB300 (TP4/EP4), host offload of the Engram tables increased KV …

Knowledgator released GLiClass, an open-source zero-shot sequence classification model inspired by the GLiNER framework that performs classification in a single forward pass and runs approximately 10 times faster than tr…

Researchers Shuo Cheng, Chuye Zhang, Alfred Cueva, Caelan Garrett, Ajay Mandlekar, and Danfei Xu published "Human2Any: Human-to-Robot Transfer via Constraint-Aware Compositional Planning" at CoRL 2026 on Monday, November…

Salesforce and NVIDIA announced Koa on September 15, 2026, Salesforce's first CRM reasoning model, built by post-training NVIDIA Nemotron 3 Super on a proprietary synthetic dataset drawn from 27 years of Salesforce CRM d…

Researchers introduced Effective State-Size (ESS), a proxy metric for memory utilization in deep learning sequence models, in a paper accepted at ICML 2025. The work shows that any equivalent recurrence must materialize …