All 2,608 AI stories, newest first · page 83 of 109
OpenAI is launching GPT-5.5-Cyber, a specialized cybersecurity model reserved for critical cyber defenders. The model will not be available to the public, focusing instead on fortifying institutional defenses.
OpenAI is expanding its Stargate infrastructure to support AGI development, adding significant data center capacity. This move underscores the massive compute requirements for advanced AI models.
Researchers deployed 3,505 AI agents to trade real ETH, processing 7.5M inferences and $20M in volume. The study highlights the reliability of language-model agents in real-world financial markets.
Researchers introduced OMEGA, an end-to-end framework that automates AI research from idea generation to executable code. The system generated novel ML classifiers that outperformed scikit-learn baselines on 20 benchmark datasets.
A new study analyzes how large language models (LLMs) transition between user prompts and responses in terms of safety. The research found that 61% of responses de-escalate harm, highlighting the dynamic nature of risk in AI interactions.
A new study explores how Large Language Models (LLMs) respond to legal arguments and the factors influencing their decisions. The research highlights the importance of understanding LLMs' persuadability in judicial and administrative contexts.
A new study questions the assumption that symbol grounding automatically leads to compositional reasoning in neuro-symbolic systems. The research introduces a novel framework to disentangle these two critical capabilities.
Researchers propose a novel approach to estimate the parameter count of black-box language models by analyzing their factual capacity. This method could revolutionize benchmarking and comparison of proprietary models.
Researchers have developed a new jailbreak technique called Incremental Completion Decomposition (ICD) that exploits LLMs by eliciting single-word continuations before extracting harmful responses. This method bypasses current safety mechanisms, raising concerns about the robustness of LLM safeguards.
Researchers introduce BTF-2, a benchmark with 1,417 pastcasting questions, to analyze AI forecasters' reasoning. The study identifies accuracy differences as small as 0.004 Brier score and builds a more accurate composite forecaster.
Mozilla has publicly opposed Google's plan to introduce an LLM Prompt API in Chrome. The move raises concerns about privacy, centralization, and competition in AI web services.
A new study evaluated 72 large language models on safety for robotic health attendants, finding a 54.4% average violation rate. The results highlight significant risks in deploying LLMs for medical applications without rigorous safety protocols.
Elon Musk revealed in court that xAI leveraged OpenAI's models for training Grok. This admission highlights the common but controversial practice of model distillation in AI development.
DreamProver introduces a novel approach to theorem proving by creating transferable lemma libraries through an iterative wake-sleep process. This method enhances adaptability compared to fixed or overly specific lemma libraries.
Researchers introduce Distill-Belief, a teacher-student framework to address the challenge of closed-loop inverse source localization and characterization. This method aims to balance speed and accuracy in uncertain environments.
China is aggressively investing in embodied AI to revolutionize its robotics industry. This strategy aims to position the country as a global leader in AI-driven automation by 2030.
Researchers introduce BioGraphletQA, a new biomedical QA dataset with 119,856 pairs. The framework uses Knowledge Graph subgraphs to ensure factual grounding and control complexity.
Hyperscalers are investing heavily in AI infrastructure, with spending projected to hit $700 billion this year. This surge highlights the relentless pace of AI adoption across the tech industry.
Anthropic, the company behind Claude, is reportedly considering a massive funding round at a valuation of up to $900 billion. This would make it one of the most valuable private companies in history.
Researchers discovered that providing one confirmed fact in a multi-step reasoning chain increases LLMs' likelihood of confidently producing wrong answers. This phenomenon, called anchored confabulation, challenges assumptions about how models handle partial evidence.
A Harvard-led study found AI systems diagnosed emergency cases more accurately than human doctors. The results could revolutionize emergency room efficiency and patient outcomes.
Evaluating AI models is now more expensive than training them, creating a bottleneck in open-source development. This shift highlights the growing importance of efficient evaluation frameworks.
Researchers introduce AGEL-Comp, a neuro-symbolic AI architecture that enhances compositional generalization in interactive agents. The framework combines a dynamic Causal Program Graph and an Inductive Logic Programming engine to improve robustness in complex environments.
Seven families affected by the Tumbler Ridge school shooting are suing OpenAI and CEO Sam Altman, claiming the company failed to alert authorities about suspicious ChatGPT activity linked to the shooter. The lawsuit alleges negligence and a breach of duty to warn law enforcement.