The tiny hardware device creates another mobile home for its AI agent Muse.
Author: script
Merge++: Universal Merge Refinement Through Data-Free Checkpoint Inversion
arXiv:2609.22886v1 Announce Type: cross Abstract: Model merging consolidates fine-tuned experts into one multi-task model without retraining. All existing…
AI News Brief Hourly Summary 2026-09-24 03h : 12 posts
12 posts published in the last hour 00:32Towards Full Pipeline FP8 Reinforcement Learning for LLMs 00:32Block-Sparse Attention with Semantic-Geometric Decoupled Routing 00:32The Law of Stop: Interruptibility, Injunctions, and the Governance of Agentic AI 00:32Per-Query Gating of LLM Rerankers for Multi-Hop…
Towards Full Pipeline FP8 Reinforcement Learning for LLMs
arXiv:2609.22870v1 Announce Type: cross Abstract: Reinforcement learning (RL) has become a key technique for improving the reasoning and agentic abilities…
Block-Sparse Attention with Semantic-Geometric Decoupled Routing
arXiv:2609.22884v1 Announce Type: cross Abstract: Long-context inference has become a defining capability of large language models, but exact dense…
The Law of Stop: Interruptibility, Injunctions, and the Governance of Agentic AI
arXiv:2609.22882v1 Announce Type: cross Abstract: On June 12, 2026, the U.S. government ordered Anthropic to bar foreign nationals from two of its most…
Per-Query Gating of LLM Rerankers for Multi-Hop Retrieval
arXiv:2609.22880v1 Announce Type: cross Abstract: LLM rerankers add of the order of \$0.2-0.3 per 1,000 queries and about a second of tail latency on top…
The Moral Check: Strategic AI Governance for the Pacing Problem
arXiv:2609.22869v1 Announce Type: cross Abstract: Technology cannot steer itself. Strategy provides that steering, establishing the rule that purpose and…
Planning-Aligned Pretraining of BEV Representations with Sparse Action-Conditioned Targets for End-to-End Autonomous Driving
arXiv:2609.22868v1 Announce Type: cross Abstract: End-to-end driving requires planning-relevant bird’s-eye-view (BEV) representations, but existing…
The Price of Safety: Benign-Case Utility and Token Overhead of Memory-Poisoning Defenses in LLM Agents
arXiv:2609.22818v1 Announce Type: cross Abstract: Memory-poisoning defenses for LLM agents are typically evaluated by their ability to prevent attacks.…