The Archive

GS-Agent generates physically plausible 4D worlds from natural language by combining foundation models with agentic simulation and physics constraints.

Study using gpt-5.6-sol shows LLMs produce safer advice when dangerous objectives are mediated through agent transformation versus direct exposure.

Improved lower bounds for Shannon capacity of odd cycles via independent set construction in graph powers—pure graph theory unrelated to AI.

Users can also integrate their personal data from services like Apple Health, Function, and MyFitnessPal.

OpenAI is rolling out ChatGPT Health to everyone in the US on Thursday, allowing more people to connect their medical records and health-tracking information to the chatbot. During a briefing, Ashley Alexander, OpenAI's vice president of health product, says the company's models "are now capable of reasoning at levels that are better than clinician level." When asked for more information about how the performance of OpenAI's models stacks up against human clinicians, OpenAI health lead Karan Singhal says that he would "temper" the claim that they are reasoning at better levels, but that "ther...

Agentic context management frames token cost and memory bloat as lifecycle and architecture problems, not storage-retrieval, for production agent reliability.

LLMs systematically overuse epanorthosis (classical self-correction rhetoric) due to promotional training distributions and RLHF preference for emphatic phrasing.

Speech-based multimodal LLMs detect cognitive impairment across diverse speakers and devices by leveraging linguistic and acoustic biomarkers with improved generalization.

No-code agent platforms create reliability gaps—silent degradation from changing models, tools, permissions, and dependencies—requiring continuous assurance frameworks.

Analysis of code model representations shows Qwen2.5-Coder and DeepSeek-Coder align on grammatical concepts across Python/Rust, with task-driven specialization.

David Bowie's song "Five Years," which Meta used in a supposedly inspiring advertisement, is about humans learning that they have five years left to live before the apocalypse.

MAPS: hierarchical MARL system using centralized proto-plan embeddings for decentralized AV coordination at unsignalized intersections.

Open-source evaluation framework for open-weight LLM agents on longitudinal data tasks, addressing privacy constraints in research deployments.

Label complexity bounds for auditing high-recall candidate generation pipelines with finite-sample validity guarantees.

Randomized KV-cache eviction with error certification via Hájek correction, proving deterministic eviction hides information loss.

Thinkink: 2D spatial interface integrating handwritten/sketch prompts with LLM responses via semantic tree interpretation.

NVIDIA OptiX ray tracing engine is an application framework for achieving optimal ray tracing performance on the GPU. Applications using OptiX can fail in ways... NVIDIA OptiX ray tracing engine is an application framework for achieving optimal ray tracing performance on the GPU. Applications using OptiX can fail in ways that are difficult to diagnose: an invalid API argument, a black frame, or a GPU-side bug buried under thousands of concurrent threads. Debugging facilities in the NVIDIA OptiX Toolkit (OTK) can help. OTK is a GitHub repository… Source

AREX: recursively self-improving research agent exploiting discovery-verification asymmetry to refine multi-constraint answers.

Google continues to report big quarterly revenue, but its AI spending has skyrocketed.

Token-level detection method for LLM-generated content in human-AI coauthored text using score smoothing.

Customization is what enables developers to take a general model and tailor it to use cases, domains, languages, and more. However, customization comes with a... Customization is what enables developers to take a general model and tailor it to use cases, domains, languages, and more. However, customization comes with a few challenges. It requires infrastructure, technical expertise, and software specific to the workflow, as well as resources such as GPUs and the ability to use them effectively. It also depends on specialized domain knowledge: What… Source

TTEL: inference-time algorithm using token-level error localization and environment feedback for efficient test-time scaling.

RUMBA: Russian benchmark for long-term LLM conversational memory with fine-grained taxonomy across temporal reasoning dimensions.

KroQuant: Kronecker-structured block transforms for W4A4 post-training quantization of diffusion transformers with efficient inference.

TriviaRoomQA benchmark evaluates multilingual LLM performance on 3,300 culturally-grounded trivia questions across 6 European languages and long-tail knowledge.

FGDSE framework applies causal-ensemble methods to predict EV charging infrastructure faults under climate stress for preventive maintenance.

Concept-based agent-guided learning improves interpretability and generalization of deep learning models for surgical margin assessment via REIMS spectroscopy.

Adaptive Identity Anchoring improves video face swapping by optimizing keyframe placement for synthetic paired supervision in identity transfer.

Linear probes on hidden states detect early non-convergence in chain-of-thought reasoning; DeepSeek-R1-Distill-Qwen-7B shows 90.3% converged vs 6.6% non-converged AIME accuracy.

Context-weighted Discrete Flow Matching modifies CTMC to weight training targets by local context density, improving generative modeling on discrete structures.