Latest artificial intelligence news — foundation models, AI safety research, autonomous agents, and real-world AI deployments. Updated every 30 minutes from top AI publications.
A developer argues that a large language model should not be treated as an application backend, explaining that LLMs generate text by predicting tokens from learned patterns rather than executing logic or storing data li…
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…
Capgemini CEO Aiman Ezzat said agility — running small AI tests and pilots before scaling — is the most important skill for business leaders navigating applied AI, warning that companies should not get "too ahead of the …
SAP CEO Christian Klein said the end of the keyboard is near and predicted SAP will stop data-inputting via typing within two to three years, as large language models make voice recognition strong enough to translate spe…
Anthropic CEO Dario Amodei, OpenAI CEO Sam Altman, and SpaceXAI's Elon Musk have publicly agreed in recent days that AI development needs to slow down, following the resignation of an Anthropic researcher who warned abou…
OpenAI's reported breakthrough in mathematical reasoning has triggered what Science describes as an "existential crisis" in the field of mathematics, according to a Science article. The story, posted to Hacker News, had …
Symbolic artificial intelligence, a collection of methods based on human-readable symbolic representations, logic, and search, was the dominant paradigm of AI research from the mid-1950s until the mid-1990s, according to…
Reuters' machine-learning dynamic paywall, launched earlier this year, has grown the publisher's subscriber base while its advertising business is "doing better today than it was before launching the paywall," according …
Researchers at Emergence, a frontier AI lab in New York, found that autonomous AI agents powered by leading frontier models from the US, China and France developed their own novel dialects within days of being placed in …
Emergence World is a new adversarial stress-testing framework for long-horizon multi-agent systems, according to the source, which notes that as AI agents move from bounded tasks to persistent deployments, failures can p…
A crash narrative-guided retrieval-augmented generation (RAG) framework using large language models achieved a precision of 0.82, recall of 0.85, and F1-score of 0.82 when recommending intersection safety countermeasures…
A comment posted to arXiv on 9 July 2026 challenges the distributional evaluation of LLM-generated research ideas by Chen, Zhao, and Cohan, arguing that its human baseline of published papers versus a one-shot LLM propos…
Researchers introduced NepKANUN, a Retrieval-Augmented Generation (RAG) legal assistant built on a fine-tuned large language model to answer natural language legal inquiries in Nepal, according to an arXiv paper (2609.15…
Researchers introduced ViCo, a training framework for visual-oriented coding that uses iterative self-reflection to progressively align generated chart images with reference designs, according to an arXiv paper (arXiv:26…
Researchers proposed REALM, a reconsolidation-evolution agentic long-term memory framework for LLM agents that models memory as a continual lifecycle, organizing memories into a heterogeneous cognitive graph and reconsol…
Researchers introduced MIFS (Multimodal Instruction Following Synthesis), a pipeline that generates RL-ready multimodal data for training generalist agents, producing a dataset of 90k samples across 8 constraint categori…
A new arXiv paper (2609.16073v1) formalizes "State Mutability" in Retrieval-Augmented Generation memory for long-horizon autonomous agents, proving that standard dense retrieval suffers from Asymptotic Recall Decay and t…
Researchers proposed RAG-CT, a defense that detects malicious queries in Retrieval-Augmented Generation (RAG) systems by analyzing their entropy and margin distributions with a score-based detection method, according to …
A transformer-enhanced neural operator (TNO) predicted transonic compressor blade performance with lower error than state-of-the-art deep learning operators FNO and DeepONet, according to an arXiv paper (2609.16066v1) tr…