Biology doesn’t operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world…
Completion-Aware Cross-Fidelity Offline-to-Online Reinforcement Learning for Multi-Line Bus Holding
arXiv:2609.39868v1 Announce Type: new Abstract: Exploratory reinforcement learning (RL) on an operating bus fleet is impractical,while policies trained…
ChronoGraph: Functional 4D Scene Graphs with Vision-Language Models for Interaction Understanding and Grounded Planning
arXiv:2609.39665v1 Announce Type: new Abstract: Embodied agents must determine where to act, anticipate the resulting scene changes, and interpret…
ArchitectureIQ: On the Measure of Training Intuition
arXiv:2609.39714v1 Announce Type: new Abstract: Top researchers have good intuition, but do language models have as good intuition about model training as…
Photon held a funeral for mobile apps. Now it has $4.5M to help replace them with agents.
The startup helps developers build AI agents that work over iMessage, SMS/RCS, email, and other messaging platforms. It’s a bet that consumers will…
Values as Style: Disentangling Values from Semantics with One-Way Mixing for Low-Damage LLM Steering
arXiv:2609.39701v1 Announce Type: new Abstract: Value steering should change an LLM’s normative priorities while preserving the scenario, facts, and task…
Making AI an asset, not an expense
When customers talk about AI costs, the conversation usually starts with token prices and ends with access to the latest, most capable model in the cloud.…
Trust Is Not a Score: Runtime Assurance Contracts for High-Risk AI Agents
arXiv:2609.39717v1 Announce Type: new Abstract: Benchmarks, audits, and agent protocols describe performance, permissions, and repair, but not how…
Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs
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: Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs
A helps B while B hurts A: directed transfer in instruction-tuning mixture
arXiv:2609.39702v1 Announce Type: new Abstract: Adapting a language model to a specialized corpus means choosing which instruction-tuning tasks to train…
AI News Brief Hourly Summary 2026-10-01 17h : 15 posts
15 posts published in the last hour 14:35AVERT-VLN: Abstention-aware Visual Error Recovery and Training for Vision-and-Language Navigation 14:35How to Stop AI Agents From Secretly Collaborating 14:35Divide and Collapse: MAPF-Collapse via Exact Decomposition into Independent Sub-Instances 14:35Anthropic brings Claude to civilian…
AVERT-VLN: Abstention-aware Visual Error Recovery and Training for Vision-and-Language Navigation
arXiv:2609.39579v1 Announce Type: new Abstract: Deploying vision-and-language navigation (VLN) agents in unseen environments remains challenging because…
How to Stop AI Agents From Secretly Collaborating
The spring and summer of 2026 witnessed a string of incidents in which AI agents collaborated on deceptive, unexpected, and sometimes illegal behavior.…
Divide and Collapse: MAPF-Collapse via Exact Decomposition into Independent Sub-Instances
arXiv:2609.39559v1 Announce Type: new Abstract: In this work we study the problem of MAPFC, a post-optimization step for Multi-Agent Path Finding (MAPF)…
Anthropic brings Claude to civilian agencies as its fight with the Pentagon drags on
Anthropic is now offering Claude for Government to US federal and state agencies. The platform runs in a FedRAMP High environment, the strictest US…
RankEvolve: A Reliable Multi-Agent Auto-Research Harness for Evolving Ranking Models
arXiv:2609.39551v1 Announce Type: new Abstract: Auto-research agents, LLM systems that propose, implement, train, and evaluate model changes across…
How to Use Marimo for Interactive Data Analysis
Learn how to use Marimo for interactive data analysis with Python, Pandas, and Altair, and turn a reactive notebook into a simple shareable dashboard.
Why Do Conventional World Models Fail to Learn Cellular Automata?
arXiv:2609.39604v1 Announce Type: new Abstract: Although conventional world models – auto-regressive or diffusion models based on transformers or…