The Archive

Mechanism-driven internal monitors detect LLM training instability before loss/gradient metrics surface failures, reducing costly compute waste.

BiDeMem uses bidirectional degradation memory with explainable queries for interpretable image restoration beyond PSNR metrics.

It's been two weeks since Anthropic took its Mythos-class models offline after a Friday evening ultimatum from the Trump administration. The company sprang into action immediately, sending a barrage of executives to Washington, DC. But updates have been suspiciously lacking, with no resolution in sight. Anthropic declined to comment multiple times this week about the state of the talks, saying there was no news to share. But the lack of news is the story here. After 14 days of high-intensity negotiations, nobody knows when or if Anthropic's most powerful AI models will come back, let alone wh...

Quantitative theory of Random Language Model in scaling limit reveals condensation phase transition via large-deviation principles.

CME-AQA framework uses cross-view multimodal vision for action quality assessment in Traditional Chinese Medicine rehabilitation.

Nvidia has dominated the AI chip market for years, but the era of total dependence might be ending. OpenAI just shared its plans to spice things up with Jalapeño, its custom inference chip built with Broadcom, joining Google, Apple, and SpaceX in a growing list of companies building their way out of single-supplier risk. The goal is less of a […]

Post-hoc controllable fair classification algorithm balances fairness-accuracy trade-offs without retraining.

OSOR one-step diffusion inpainting removes objects with non-local effects (shadows, reflections) efficiently on edge devices.

STAG network jointly models motion flow and facial connectivity for micro-expression recognition via spatio-temporal action units.

OPI framework uses ontology-guided relation constraints to reduce noise in multi-hop knowledge graph question answering.

JD Oxygen AIIC: industrial-scale LLM/VLM system for SKU understanding and management across billions of e-commerce items.

OperatorSHAP efficiently computes Shapley values for neural operators on irregular grids for safety-critical physical applications.

LLMs applied to data fusion/truth discovery in tabular data via prompting strategies for single and multi-truth scenarios.

ToolPrivacyBench evaluates purpose-bound privacy in multi-tool LLM agent trajectories, filling gap in agent evaluation.

MultiHashFormer enables parameter-efficient hash-based autoregressive language models using multi-hash signatures.

Study shows LLM self-evaluation is not uniformly easier than generation; multi-hop QA reveals attention-based mechanistic differences.

Voice-based speaker clustering framework for insurance fraud detection in call-centre environments using speaker linking.

Extractive-abstractive hybrid summarization for legal case judgements using tree-of-thoughts with DeepSeek and Llama.

Systematic study of domain gap in diffusion-based satellite image super-resolution across Sentinel-2 and PlanetScope.

MLVC: cross-platform neural video codec with deterministic hardware-robust entropy coding for practical deployment.

Lifted Causal Inference applies relational lifted inference to causal graphical models via parametric causal factor graphs.

Signal-coverage matrix stratifies LLM autoformalization errors (type vs. semantic) across ProofNet# and MiniF2F using DeepSeek V4-Pro.

OpenAI previews GPT-5.6 Sol with enhanced coding, science, and cybersecurity capabilities and advanced safety measures.

Analysis of geopolitical security implications of US Fable/Mythos suspension limiting domestic cybersecurity patching capability.

OpenAI internal Codex usage surged 13–56x across departments since Nov 2025, with Research leading adoption.

Cohere publishes practical guide on building AI agents for enterprise automation, covering reliability, security, and deployment patterns.

penAI reportedly plans to share its newest model, GPT 5.6, with a select group of partners instead of to the broader public. The reason: the Trump administration told it to.

Bruce Schneier argues companies deploying AI should face legal liability for errors, citing German ruling against Google's AI summaries.

Shaders are GPU programs that process visual data—such as rays, pixels, geometry, and textures—to produce specific rendering effects. Shaders find necessary... Shaders are GPU programs that process visual data—such as rays, pixels, geometry, and textures—to produce specific rendering effects. Shaders find necessary data through a process called resource binding. CPU code orchestrates the creation of GPU resources such as textures and memory buffers and then carefully arranges for shader code to access them through a binding protocol. Source