The Archive

Gilbert + Tobin law firm implements governance framework for ChatGPT Enterprise and Codex deployment with CEO oversight and human accountability measures.

Apple says it has evidence that a former employee destroyed evidence of data theft after learning he was under investigation.

Graham Dumpleton releases Wrapture, a Python library for function wrapping, tracing, and mocking in testing.

Kākāpō population recovery milestone: 325 juveniles added after record 2024 breeding season; species rebounded from 51 in 1995.

Versions of OpenAI's ChatGPT and SpaceXAI's Grok will join Google's Gemini on the Pentagon's central portal for AI tools.

As frustration over AI influencers has been growing, Instagram is limiting the reach of undisclosed AI profiles.

The seed round for the app that provides real-time legal and policy guidance to officers was led by SignalFire and Las Olas VC.

Lawsuit: Anthropic’s torrenting totally screwed songwriters as AI songs top charts.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. By now you’ve probably heard about last month’s major AI security incident, in which OpenAI agents escaped their sandbox and hacked into the AI platform Hugging Face while trying to cheat on…

Context-Aware Interleaved Batching improves WhisperX speech transcription by maintaining historical context across batched audio segments via VAD boundaries.

ECHO-OFTRL algorithm achieves constant individual regret in N-player games without polylogarithmic horizon dependence via optimistic follow-the-regularized-leader.

SUN Programs unify model-based control and learned policies by compiling task semantics into MPC costs, RL rewards, and transition guards for long-horizon manipulation.

Sharp approximation rates derived for neural networks using low-dimensional latent parameter generators with affine mappings to network weights.

Four-stage forensic audit protocol for black-box identity verification of anonymously-released frontier models via API fingerprinting and configuration reconstruction.

Configurable semantic chunking framework for biomedical RAG replacing fixed-size chunks with entity-preserving windows and trigger-centered extraction.

OntoAligner-Ensemble voting framework reconciles heterogeneous ontology alignment methods including lexical, structural, KGE, and LLM-based approaches.

Template Model Builder (TMB) framework simplifies implementation of neural network mixed-effects models via automatic differentiation.

DIASENTINEL on-premise multi-agent system for type 2 diabetes risk screening integrates calibrated prediction, EHR extraction, and ADA guideline verification.

Complexity analysis of determining compatibility between pairs of succinctly-encoded conditional probability distributions for probabilistic graphical models.

PaperGym creates training environments from research papers using rubrics as reward signals for AI research-plan generation.

Controlled study of 13 LLM scales (Qwen, GPT) on ontology learning tasks shows mixed effects of model size on performance.

Quantum generative models face generalization gaps when trained classically and deployed on quantum hardware.

ASPIRE benchmark evaluates LLM self-evolution from vague natural-language goals without predefined metrics.

Stress-testing shows efficient responsible-AI evaluation (quantization, batching) can change benchmark conclusions on bias and fairness.

BLOOM-WILT uses logit tilting to efficiently elicit rare behaviors in deployed LLMs without model training.

Industrial perspective on post-training as maintenance: managing dataware mixture updates within fixed budgets without regression.

S³Gym benchmark evaluates LLM agent self-improvement through coupled self-testing, self-judging, and learning from experience.

Multimodal learning for grapevine cold hardiness prediction via transfer learning across regions.

Task-conditioned adapter for class-incremental learning balances parameter efficiency with per-task representation quality.