The Archive

New data centers built through 2033 could consume as much electricity as India uses today.

Long-context LLMs fail via repetitive copying rather than reasoning; RL-based evidence grounding improves step-by-step trace quality.

Appearance Pointers enable spatial region control in Diffusion Transformers via compact tokens, improving controllable image generation.

CodeRescue optimizes cost-aware routing for coding agents, determining when to retry vs. escalate after execution failures.

Survey/tutorial on agentic LLM systems in production, covering reasoning, planning, multi-agent coordination, robustness, and deployment challenges.

1-Lipschitz neural networks on Hadamard manifolds using Busemann functions for robustness in non-Euclidean geometry.

Theoretical analysis of K-class classification via O(log K) binary hyperplane classifiers in distributed settings under Gaussian assumptions.

PDDIM algorithm provides provable posterior sampling for linear inverse problems using diffusion priors with lightweight modifications.

ROMS-IMLE questions necessity of gradual noise-to-data transformation, proposing single-step generative modeling competitive with diffusion.

ISO optimization framework operationalizes spectral inheritance in RLVR, enabling weight-space updates via singular structure analysis.

Deep CNN model of visual valence processing inspired by Rescorla-Wagner associative learning, applied to natural scene classification.

MaLoRA and MaLOR introduce dynamic, recurrent state-space adapters for task and token-level LLM adaptation, improving reasoning via selective modulation.

GAMUT benchmark introduces two-level meta-rubrics to measure factual completeness in long-form LLM generation, addressing precision-recall gap in factuality eval.

ResearchArena framework evaluates AI control and monitoring for detecting sabotage in automated AI R&D agents across safety/capability post-training and optimization tasks.

CircuitKIT open-source library unifies circuit discovery, evaluation, and intervention workflows for mechanistic interpretability with automated contrastive prompts.

Anthropic blocks authors from opting out of $1.5B settlement at last minute.

Off-Context GRPO uses privileged training information (solution prefixes) to enable RL with verifiable rewards on hard reasoning problems avoiding zero-gradient plateaus.

Staypoint detection benchmark provides ground-truth annotations for semantic trajectory analysis from noisy GPS data, addressing lack of standardized evaluation.

Real-time SDF-based mapping and motion planning for autonomous UAVs unifies occupancy mapping and trajectory optimization using signed distance representations.

Framework generalizes batch normalization and neural modules to Riemannian manifolds, Lie groups, and gyrogroups for manifold-valued deep learning.

SHRED-ROM reduced-order modeling with shallow recurrent decoders enables real-time optimal control synthesis for high-dimensional dynamical systems.

Study models how imperfect LLM detectors distort user incentives and downstream metrics, showing counterintuitive effects of detection as behavioral intervention.

LangGraph practitioner guide with three executable recipes for stateful multi-step agent workflows in business processes.

Safety analysis showing distributed, normalized failures in deployed AI systems are harder to instrument than obvious errors.

Anthropic donates additional $20M to Public First Action, totaling $40M commitment to AI policy advocacy.

OpenAI launches ChatGPT for Small Businesses program offering training and automation tools via ChatGPT Work.

There are new 3.6 and 3.5 models today, but Google is already training Gemini 4.

A federal judge has signed off on Anthropic's $1.5 billion class action settlement with authors who accused the company of training its AI models on copyrighted books, as reported earlier by Reuters. In an order on Monday, Judge Araceli Martínez-Olguín writes that the settlement will provide "meaningful relief," offering authors around $3,000 for each book allegedly pirated by Anthropic. The $1.5 billion settlement is the "largest known copyright recovery in history," according to the law firm representing the plaintiffs. A group of authors - Andrea Bartz, Charles Graeber, and Kirk Wallace Jo...

RL framework for predicting lean blowout in gas turbine combustors via optimal reactor clustering.

Network-agnostic GNN initialization layer to improve spatial generalization in traffic assignment models.