Topic: us
154 stories found
Today
Recognition, Simulation, and Refusal: A Contamination-Aware Study of Classic Psychological Effects in LLM Agents
The study PsyAgentBench re-runs classic psychology experiments on LLMs to assess their susceptibility to human biases without attributing those biases directly to the models, highlighting the need for contamination-aware analysis. This matters as it provides a framework to understand and mitigate potential psychological effect mimicry in AI systems.
Yesterday

Higgsfield AI ships new video features in a day with GPT-6 Astra
Higgsfield AI launched new video creation features within a day using GPT-6 Astra, simplifying ad production for small businesses. This rapid innovation highlights the potential of advanced AI in accelerating product development and enhancing accessibility for smaller companies.
NousResearch releases: Hermes Agent v0.21.4 (v2026.9.21)
Hermes Agent version v0.21.4 was released on September 21, 2026, consolidating approximately 1,800 merged pull requests to provide a stable release for various deployment environments, including Docker images and Hermes Cloud services.
US halts flights at busy East Coast airports, says fiber line cut
US airlines suspended operations at several major East Coast airports due to a severed fiber optic cable, disrupting travel for thousands of passengers and highlighting vulnerabilities in critical infrastructure. The incident underscores the potential impact of physical damage on digital communications essential for air traffic control and airline scheduling.

Import AI 473: The US's superintelligence strategy; human brain in a mouse skull; and machine hermeneutics
The article discusses the U.S.'s strategic approach to superintelligent AI, explores a controversial experiment involving a human brain transplanted into a mouse skull, and delves into advancements in machine hermeneutics. These topics highlight ongoing challenges and ethical considerations in AI research and its implications for society.
ggml/llama.cpp releases: b11081
The ggml/llama.cpp project released a new version with updates to make tensor data standard deviation configurable and added more examples to the documentation, enhancing flexibility and usability for developers. These changes are significant as they improve the toolkit's adaptability and user-friendliness in handling large language model architectures.
SAGE: Schema-Guided LLMs for Grant Review
SAGE, a schema-guided language model, assists grant reviewers by systematically evaluating applications based on detailed criteria, potentially improving the consistency and transparency of the review process.
Decoupling Internal Representational Changes and Causal Importance in Fine-Tuned Large Language Models
Researchers have explored how fine-tuning large language models changes their internal representations without affecting their causal importance, aiming to better understand the mechanism behind model adaptation for various tasks. This study is crucial as it helps in optimizing and interpreting the behavior of fine-tuned LLMs more effectively.
Sunday, September 20, 2026
langgenius/dify — Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cl
Agentic offers a collaborative workspace for building AI workflows and RAG pipelines with extensive model and tool support, enabling seamless deployment options from cloud to self-hosted environments, facilitating rapid transition from prototypes to production.
ggml/llama.cpp releases: b11064
The ggml/llama.cpp project updated its dsv4_hc_pre kernels to support arbitrary hardware contexts (hc), addressing a limitation that previously forced it to use CPU fallbacks. This change is significant as it enhances compatibility and performance across different hardware configurations, particularly for Kimi-K3 which uses varying hc values for banked checkpoints.
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