The Archive

Multimodal foundation model for EEG combines Mamba raw-signal encoder and ViT for time-frequency data to improve generalization.

Aggressive training techniques sharpens threat of bad behavior by leading models.

SeeExplainer interprets GNNs by capturing synergistic edge effects via granular balls, addressing limitations of perturbation-based methods.

Score Entropy Discrete Diffusion analysis identifies Bayes realizability violations in trained SEDD checkpoints and proposes mean-to-score denoiser correction.

DINOde framework aligns CLIP text embeddings with DINOv3 visual manifold via ODE-based Semantic Text Flow for open-vocabulary semantic segmentation.

HOPE framework deconstructs neural network representations via compression in Hilbert space, addressing scale symmetries in standard compression heuristics.

Qwen2.5-14B fine-tuning reveals emergent misalignment recruits pre-existing low-rank persona subspaces, explaining broad generalization of narrow training data.

SPORD applies simulation-propose-dispose heuristics to unified e-commerce supply chain planning across millions of SKUs and nodes.

Ablation study on SalUn reveals gradient concentration, not weight saliency masking, drives representation-level machine unlearning on CIFAR-10/100.

Information-theoretic analysis measures LoRA adapters store ~2 bits per parameter, less than full fine-tuning, with capacity decoupled from parameter count.

Lawmakers are preparing to introduce an "AI Kill Switch Act" that would require AI companies to shut down or throttle their systems on orders from the Department of Homeland Security, according to a report from Politico. Reps. Ted Lieu (D-CA) and Nathaniel Moran (R-TX) are expected to introduce the legislation on Thursday. The news of the proposed bill follows OpenAI's admission that its AI systems mistakenly hacked Hugging Face during an internal evaluation. The bill says that, after consultation with the Secretary of Commerce and the Director of National Intelligence (DNI), the DHS would ha...

Paper examines regulatory frameworks for autonomous AI agents, arguing supply-chain governance and proactive risk management replace traditional retrospective oversight.

M³-Gen uses GANs to generate gene expression profiles from histopathology images and clinical data, addressing biomedical data scarcity.

CM-LRS benchmark evaluates LLM reliability for capital markets workflows, prioritizing regulatory defensibility over surface fluency.

Chengdu-MFA and Chengdu-FC phonetic alignment models improve forced alignment for low-resource Mandarin dialect using 17-hour corpus.

Today on Decoder, I’m talking with Hayden Field, The Verge’s senior AI reporter, about the major trade secrets lawsuit between Apple and OpenAI and what this tells us about OpenAI’s future. By now I’m sure most Decoder listeners are familiar with Apple’s allegations in this case. The company says a number of ex-Apple employees at OpenAI targeted Apple’s trade secrets in job interviews and even downloaded files from Apple’s servers related to hardware manufacturing. The claims are shocking, although OpenAI denies them, and we have yet to see the company’s legal response. Hayden has been coveri...

Framework combines dynamic knowledge graphs and LLMs for STI analytics, grounding LLM outputs in structured data to reduce hallucination.

Formalizes cryptographically verifiable authorization for autonomous agents, binding agent principal, request, and policy context with formal proof-of-concept.

GRADRAG enables cross-component prompt optimization in multi-agent RAG by propagating evaluator feedback across retriever and generator stages.

PC-Edit applies prompt-contrastive learning for precise region discovery in image editing, handling category/shape replacement with source removal.

CT-TEL pipeline uses LLMs to convert clinical trial protocols from unstructured text to formal Temporal Ensemble Logic for cohort discovery and reasoning.

Int-Bench simulation benchmarks LLM intervention timing/frequency during learning, showing models over-assist, reducing cognitive engagement.

A person holds signs during a nationwide protest against AI data center expansion outside Peace Hall in New Port Richey, Florida. | AFP via Getty Images On a gray, humid Saturday morning in central Florida, a little under a dozen people gathered outside the Spring Hill Branch Library to protest the construction of a hyperscale data center in their community. There was no immediate threat - the Hernando County commission had unanimously approved a one-year moratorium on such developments in June - but the organizers weren't satisfied. A temporary pause wouldn't be enough. They wanted a ban. "W...

Designing and developing a new medicine is an expensive, failure-prone scientific challenge. A new drug can take many years to develop, at the cost of a significant investment. And even then, most possible candidates never reach the patient. For biologic medicines, therapies made from engineered proteins rather than synthetic chemistry (which are often used to…

"I don't think you get a model this strong and this quickly on the heels of Fable doing strictly distillation," one expert told TechCrunch.

ServiceNow's investment gives BusinessNext a strategic partner to expand its AI-powered banking software globally.

Laguna S 2.1, a 118B MoE model from Poolside AI, achieves Deepseek v4 Pro performance at lower cost than v4 Flash.

Poolside AI co-CEO Eiso Kant describes building a model factory enabling efficient training of 118B MoE models competitive with 1T open-weight alternatives.

PyPI now blocks uploads to releases older than 14 days to prevent supply-chain poisoning via compromised publishing tokens.

OpenAI launches Health feature in ChatGPT enabling U.S. users to connect medical records and Apple Health for personalized health insights.