arXiv:2611.04003v1 Announce Type: new Abstract: LLM agents struggle to automate complex enterprise procedures because static, pre-built harness cannot…
We Ran a Research Sprint With AI. The AI Worked. The Research Didn’t
arXiv:2611.03946v1 Announce Type: new Abstract: Generative AI tools for research are widely deployed, yet individual productivity gains do not guarantee…
What Is This Memory Useful For? Measuring Task-Conditioned Utility in Long-Term Agent Memory
arXiv:2611.03930v1 Announce Type: new Abstract: A stored experience may answer one future question and offer little help with another. We measure this…
42AI launches with $62.5M to predict how traders act when markets turn volatile
Israeli artificial intelligence startup 42AI launched today with $62.5 million in funding to build what it calls a behavioral world model. Its first…
Predictive gains, causal losses: why interventional competence cannot be learned from data alone
arXiv:2611.03861v1 Announce Type: new Abstract: Retaining predictive gains can require persistent errors in a model’s response to interventions. For…
Trajectory raises $45M to make AI model training accessible to nontechnical experts
The one-year-old startup is now valued at $300 million.
Performance, Scalability and Maintenance: An Experimental Study of RPA vs. Autonomous Agents in the Healthcare Domain
arXiv:2611.03853v1 Announce Type: new Abstract: Healthcare information systems are fragmented, and retrieving data from legacy web portals is a recurrent…
Building Legal Agents When You Can’t See the Data – Jacob Lauritzen, CTO of Legora
Legora can’t read a single trace of what its agent does for a lawyer. The data belongs to the law firm’s clients. How do you build and test an agent when…
ProofPaths: An AI Agent Framework for Assessing Student Reasoning
arXiv:2611.03882v1 Announce Type: new Abstract: Students can use large language models to complete assignments, but a correct solution does not establish…
AI News Brief Hourly Summary 2026-11-04 08h : 13 posts
13 posts published in the last hour 06:36Low-Rank Hierarchical Merging for Efficient Long-to-Short Reasoning 06:35El Agente F\’armaco: A Scalable AI Scientist for Drug Discovery 06:35Reasoning is topologically simple 06:35Tencent WeVisOne-VL Unifies Detection, OCR, Segmentation and Matting 06:34LaplaceDiag: Fault Diagnosis through…
Low-Rank Hierarchical Merging for Efficient Long-to-Short Reasoning
arXiv:2611.03834v1 Announce Type: new Abstract: Long-to-Short (L2S) model merging seeks to combine the strong reasoning capability of long…
El Agente F\’armaco: A Scalable AI Scientist for Drug Discovery
arXiv:2611.03832v1 Announce Type: new Abstract: Computational drug discovery offers a growing range of tools for proposing and evaluating molecules, but…
Reasoning is topologically simple
arXiv:2611.03739v1 Announce Type: new Abstract: We formulate and investigate the hypothesis that reasoning text has simpler co-occurrence topology than…
Tencent WeVisOne-VL Unifies Detection, OCR, Segmentation and Matting
Tencent’s WeChat Vision team released WeVisOne-VL, an Apache 2.0 vision language model in 2B and 4B sizes. It handles detection, OCR, counting,…
LaplaceDiag: Fault Diagnosis through Changes in Learned Actuator Effects
arXiv:2611.03849v1 Announce Type: new Abstract: Identifying faulty components from sensor anomalies is difficult because fault effects can propagate…
Building AI for Lawyers – Jacob Lauritzen, CTO of Legora
Evals without traces, million-cell tabular reviews, and cracks in the billable hour as a business model
VagueBench: Benchmarking the Robustness of Embodied Agents on Ambient Context Illusions
arXiv:2611.03765v1 Announce Type: new Abstract: Embodied agents are increasingly deployed in open-world environments, yet current robustness evaluations…
Training LLM Agents to Automate LLM Post-Training with RSI-Dojo
arXiv:2611.03698v1 Announce Type: new Abstract: Recursive Self-Improvement (RSI) aims to enable AI systems to autonomously build and improve AI systems…