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A study submitted to arXiv on 27 Aug 2026 found that transformer-based language models (LLMs) achieve comparable cross-entropy loss on k-antilocal languages regardless of antilocality, but converge more slowly on more an…
An AI system autonomously designed, verified, and deployed Redwood, a frontier AI accelerator, from scratch in under two weeks, according to a paper submitted to arXiv on August 26, 2026. The system generated the perform…
A new arXiv paper (submitted 27 Aug 2026) benchmarks confidential computing on NVIDIA B200 GPUs using Intel TDX and NVIDIA Confidential Computing, finding that correctly configured confidential inference incurs only 1-3%…
A new arXiv preprint (2608.08239) finds that static replay-based evaluation of model switching in LLM agents 'scores the wrong world,' with branching rollouts on SWE-bench showing that swaps exceed matched control floors…
A census of free writing tools for AI coding agents, collected on 2026-09-01, finds that deterministic enforcement is limited to post-draft linters like Vale, proselint, write-good, and textlint, while pre-draft agent sk…
A new open-source repository, 'social-app-teardown' by user elchrysaki, claims to provide fully sourced research on how Threads, LinkedIn, Instagram, X, and Reddit actually work, including every feature, real ranking alg…
NVIDIA researchers introduced ACES (Agentic Continuous Evaluation of Skills), a repository-native framework that evaluates enterprise agent skills by running paired live trials with and without a target skill, reporting …
A new arXiv preprint (2608.14071) finds that for large language models, the optimal number of times to repeat high-quality domain data during pretraining increases mildly with model size at a fixed tokens-per-parameter r…
West Virginia Gov. Patrick Morrisey unveiled a seven-point plan to reduce and eventually eliminate the state personal income tax by dedicating 50% of revenue from approved hyperscale data center projects to tax relief, w…
A paper by Andrew Wilson and colleagues, submitted to arXiv on March 3, 2025, argues that deep learning's generalization behaviors, such as benign overfitting and double descent, are not unique to neural networks and can…
Scrum.org will host the AI Delegation Audit webinar on October 6, teaching a 45-to-60-minute recurring check to verify that delegated AI work still meets quality standards, uses the right model at the right cost, can be …
A new study introduces PLCBench, the first real-PLC hardware-in-the-loop framework for evaluating whether autonomous large language model (LLM) agents can convert network access to programmable logic controllers (PLCs) i…
Researchers introduced the full-bandwidth transformer, which uses latent feedback to fuse the previous top-layer hidden state with the sampled token embedding at each decoding step, widening the vertical feedback channel…
A paper submitted to arXiv on April 2, 2023, titled 'Eight Things to Know about Large Language Models,' surveys evidence for eight surprising points about LLMs, including that they predictably get more capable with incre…
A new study from arXiv (submitted 26 Aug 2026) introduces SwarmWorld, a simulation where initially homogeneous language-model agents self-organize into evolving technological societies without assigned roles or recipes. …
Scientists have created an interactive website to track permafrost thaw in near-real time across the Arctic, using AI to analyze satellite imagery for signs of disappearing lakes, which indicate thawing ice-rich permafro…
A new arXiv preprint (2608.25880) reveals that Office Open XML (OOXML) documents can yield different evidentiary content when displayed in Microsoft Office versus when extracted for large language model (LLM) pipelines, …
OpenAI has cut off Cursor from its models following Cursor's acquisition by SpaceX, citing 'our experience with Elon Musk's companies violating contracts' in an official blog post. Cursor responded that OpenAI accounts f…
A new arXiv paper (2608.27141) demonstrates that safety monitors for autonomous large language model (LLM) agents fail to detect attacks whose evidence is spread across multiple iterations, because trajectory-scoped moni…
A new paper submitted to arXiv on August 27, 2026, argues that the Gaussian kernel, also known as the squared exponential or radial basis function kernel, should never be used as a default in Gaussian process regression …