The system can supposedly answer queries four times faster, with 20% fewer errors and 90% fewer tokens used.
MAC-v2: Long-horizon model-based value expansion from pixels
arXiv:2611.07245v1 Announce Type: cross Abstract: We study whether \emph{long-horizon model-based value expansion} can serve as an effective framework in…
Brookfield Reports AI Factory Pipeline and $25B Quarterly Fundraising
Brookfield Asset Management announced third-quarter results on November 6, 2026, reporting $25 billion of fundraising for the quarter ended September 30,…
KG-Neighbor: Knowledge-Guided Neighborhood Construction for Embedding Visualization
arXiv:2611.07246v1 Announce Type: cross Abstract: In embedding visualizations, nearby instances are interpreted as semantically related, although…
The Rise of the Executive AI Briefing: How CEOs Start Their Day in the Agentic Era
For years, “data‑driven leadership” has meant some version of the same morning ritual, where a CEO skims a static dashboard, scrolls through long email…
TriAttention: Unified Sparse Mixed-Precision Attention for Long-Context LLM Inference
arXiv:2611.07256v1 Announce Type: cross Abstract: Sparsity and quantization reduce the cost of attention by skipping interactions and lowering the…
AI News Brief Hourly Summary 2026-11-06 16h : 18 posts
18 posts published in the last hour 14:37TileQuant: Tile as the Precision-Allocation Unit for LLM Mixed-Precision Post-Training Quantization 14:36SeVerus: Context-Aware, Gamified Benchmarking for Rust Verification 14:36Atomicwork Adds Six Certified AI Coworkers to Its IT Marketplace 14:36Multi-step SWE: Can Coding Agents…
TileQuant: Tile as the Precision-Allocation Unit for LLM Mixed-Precision Post-Training Quantization
arXiv:2611.07217v1 Announce Type: cross Abstract: Post-training quantization (PTQ) reduces large language model (LLM) deployment costs, but preserving…
SeVerus: Context-Aware, Gamified Benchmarking for Rust Verification
arXiv:2611.07194v1 Announce Type: cross Abstract: Coding agents achieve high success rates on existing benchmarks for Verus, a verifier for Rust programs.…
Atomicwork Adds Six Certified AI Coworkers to Its IT Marketplace
Atomicwork launched six pre-built, certified AI Coworkers in its AI Coworker Marketplace on November 6, 2026, targeting repetitive, high-volume IT service…
Multi-step SWE: Can Coding Agents Keep Building on Their Own Code Over Long Horizons?
arXiv:2611.07166v1 Announce Type: cross Abstract: Developers rarely give a coding agent a single request: they ask it to build a component and then to…
What I Did with Hermes Agent, Ollama & Local Models
Build a local multi-agent travel planner with Hermes Agent and Ollama: a coordinator and three specialist agents that research destinations, suggest…
SPILLWAY: Separating Target Admission from Sanitization to Defend Tool-Using Agents against Prompt Injection
arXiv:2611.07222v1 Announce Type: cross Abstract: Tool-using agents act on email, files, and payments, so an instruction hidden in a web page or a shared…
Insilico Medicine Announces Open-Source Longevity Grok AI System
Insilico Medicine announced Longevity Grok on November 6, 2026, an open-source system that uses up to 30 AI agents on Grok Bot to organize fragmented…
Compositional Unalignment: Auditing Safety in Large Vision-Language Models
arXiv:2611.07216v1 Announce Type: cross Abstract: Large vision-language models (LVLMs) are vulnerable to compositional harm: an image and a prompt that…
More Agents, More Reliable? System-Level Reliability of Multi-Agent LLMs under Operational-Profile Uncertainty
arXiv:2611.07140v1 Announce Type: cross Abstract: Teams increasingly build software from cooperating large language model (LLM) agents, often assuming…
ToyBlocks: A controlled world for robot learning and evaluation
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: ToyBlocks: A controlled world for robot learning and evaluation
Adapting LLM Judges to Observed Human Annotation Policy through Soft Prompt Tuning
arXiv:2611.07126v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly employed as automated judges for evaluating chatbot…