In a new essay, Terence Tao warns that AI could push mathematics into a crisis on par with the foundational upheaval around 1900. What’s being tested this…
Tag: AI
ORBITER: Conflict-Aware Decision-Making for Agentic Last-Mile Delivery
arXiv:2608.18846v1 Announce Type: new Abstract: Last-mile delivery aims to handle dynamically arriving orders with couriers while modeling complex spatial…
Guideless Raises €1M Pre-Seed to Turn Software Workflows Into AI Training Guides
Lithuanian AI startup Guideless has raised €1 million in pre-seed funding as it looks to rethink one of the less glamorous but persistent problems inside…
Training-Free Inference-Time Self-Reflection and Cost-Bounded Early Stopping for Large Language Models
arXiv:2608.18884v1 Announce Type: new Abstract: Reinforcement-learning training of reasoning LLMs (e.g., GRPO) is expensive and requires a controllable…
How NVIDIA scales expertise with ChatGPT Work
NVIDIA teams use ChatGPT Work to reduce manual tasks, connect fast-moving signals, and scale successful workflows globally.
SkillGate: Training In-Policy Skill Selection in Long-Horizon Agents
arXiv:2608.18852v1 Announce Type: new Abstract: Agent frameworks increasingly package procedural knowledge as skills: instruction files an agent reads on…
Auditing Preference Biases and Fine-Tuning Language Models with Direct Preference Optimization on Anthropic HH-RLHF Using TRL and LoRA
This tutorial provides an end-to-end workflow for fine-tuning language models using Direct Preference Optimization (DPO). We demonstrate how to audit the…
Verifiable abstention makes AI leak diagnosis accountable in water distribution networks
arXiv:2608.18836v1 Announce Type: new Abstract: Utilities lose a substantial share of treated water to leakage, yet rarely trust artificial-intelligence…
Pairwise Logical Selection of Enthymeme Completions under Semantic-Link Uncertainty
arXiv:2608.18820v1 Announce Type: new Abstract: Arguments often omit premises or claims, forming enthymemes. We study pairwise logical selection between…
A Multi-Agent Platform for Automated Enterprise Analytics and Insight Generation
arXiv:2608.18740v1 Announce Type: new Abstract: This paper proposes a multi-agent framework built on CrewAI [1] for conversational business intelligence.…