arXiv:2610.33441v1 Announce Type: cross Abstract: Automated semantic complexity estimation remains underexplored in NLP, despite important applications in…
Exact Unlearning After Data Curation
arXiv:2610.33426v1 Announce Type: cross Abstract: Training pipelines often remove similar examples before fitting a model. Deleting a raw record can…
Anthropic is burning gas to feed the AI boom
As it prepares to go public, Anthropic’s S-1 filing makes generative AI’s methane dependency glaringly obvious. “Competition for access to electrical…
A Unified Analysis of Importance-Corrected Momentum Actor-Critic over a Markovian Trajectory
arXiv:2610.33477v1 Announce Type: cross Abstract: We present a generic actor-critic method that combines a ridge-regularized pathwise least-squares…
Working with academic communities to build scientific understanding
OpenAI shares model results on the Kakeya conjecture, Exponential Time Hypothesis, and quantum chromodynamics—and how researchers can verify and build on…
LLMs in Cloud: A Discussion on Architecture, Orchestration, and Inference
arXiv:2610.33475v1 Announce Type: cross Abstract: The widespread deployment of foundational Large Language Models (LLM) across cloud datacenters marks a…
GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases
CodeRabbit uses GPT-6.1 Sol to investigate security risks across complex codebases. Its security agent helps developers review findings and proposed fixes.
MarineLife-16K: An Attribute-Rich Video-Text Dataset for Motion-Aware Marine Video Understanding
arXiv:2610.33478v1 Announce Type: cross Abstract: Marine video understanding is crucial for a wide range of real-world applications. However, existing…
MOSHO: A Native Discrete Shark-Inspired Metaheuristic for Hardware-Aware Neural Architecture Search
arXiv:2610.33358v1 Announce Type: cross Abstract: Hardware-aware neural architecture search (NAS) requires jointly optimizing predictive accuracy and…
A Deterministic Security Runtime for LLM Agents on MPI and Batch-Scheduled HPC Systems: Consensus-Governed, Hardware-Rooted Supervision of Every Rank
arXiv:2610.33318v1 Announce Type: cross Abstract: Large language model agents launch simulations on high-performance computing (HPC) systems, where one…
Responsibility Boundaries for Agentic Systems: A Comparative Evaluation of Probabilistic Agentic Programming
arXiv:2610.33312v1 Announce Type: cross Abstract: Language-model agents combine reasoning, tools, memory, delegation, and external effects. Authority is…
From Hype to ROI: An Economic Model for LLM Adoption in Information Systems and Security Operations
arXiv:2610.33352v1 Announce Type: cross Abstract: Large Language Models (LLMs) promise significant efficiency gains across information-intensive…
What to watch for as enterprises move from AI experimentation to autonomous operations
For the past three years, the enterprise artificial intelligence conversation has focused on what models can say. The next three years will be about what…
When Does Pre-Trained Capacity Help Causal Learning? From Scalar Prediction to Counterfactual Post-Training
arXiv:2610.33311v1 Announce Type: cross Abstract: How does pre-trained model capacity relate to performance after adaptation for causal tasks? We study…
AI News Brief Hourly Summary 2026-10-28 03h : 18 posts
18 posts published in the last hour 01:35Position, Role or Label? A Controlled Study of Instruction Conflicts in LLM Agents 01:34Keeping a software factory stable at 1,000 PRs a week 01:34Exploring Joint-Embedding Predictive Architectures for Self-Supervised Representation Learning of Powder…
Position, Role or Label? A Controlled Study of Instruction Conflicts in LLM Agents
arXiv:2610.33201v1 Announce Type: cross Abstract: LLM agents take instructions from the operator, repository configuration, user, tool results and saved…
Keeping a software factory stable at 1,000 PRs a week
In our last post, we described how three engineers and a crew of agents merged 1,000 pull requests in one week. The most common question we got back was…
Exploring Joint-Embedding Predictive Architectures for Self-Supervised Representation Learning of Powder X-ray Diffraction Patterns
arXiv:2610.33310v1 Announce Type: cross Abstract: Powder X-ray diffraction (XRD) is the primary high-throughput method for resolving crystal structures, a…