AI company Runway has unveiled Solaris, the first model in a new category it calls “Interface World Models.” Instead of running code, the system generates…
Category: AI
APPSolver: Adaptive Patch Partitioning for Point-Wise Ship Flow Prediction on Unstructured Meshes
arXiv:2608.29355v1 Announce Type: new Abstract: Large non-uniform point sets make direct attention-based surrogate modeling costly for ship hydrodynamics.…
Google’s AI search dropped its emergency-call advice over nationalities but still flags people from Facebook
“Please get to a safe place or call emergency services”: That’s the advice Google’s AI search gave users who typed that they were alone with an African,…
TRACER: Per-Tool Context Retention for LLM Agents via Consequence-Attributed Reinforcement Learning
arXiv:2608.29363v1 Announce Type: new Abstract: Enterprise data agents answer business queries by chaining many tool calls over multiple reasoning steps,…
BIRD-History: A Benchmark for History-Driven Text-to-SQL with Fine-Grained Knowledge Annotations
arXiv:2608.29345v1 Announce Type: new Abstract: While recent Large Language Model (LLM)-based text-to-SQL systems achieve impressive performance on…
Formal Concept Analysis with Three Types of Negation
arXiv:2608.29311v1 Announce Type: new Abstract: Classic Formal Concept Analysis (FCA) primarily focuses on the positive relationships between objects and…
Amid Market Fluctuations, Here’s the AI Risk We’re Not Talking About
It’s clear that the stock market is reacting to AI, with a sharp selloff hitting companies powering the AI boom last week, including chip companies that…
Cross-Relational Preference Learning for Better LLM Instruction Following
arXiv:2608.29352v1 Announce Type: new Abstract: Large Language Models (LLMs) still exhibit limited capability in following complex instructions. While…
7 Common Python Mistakes to Avoid in AI Workflows
A clean run proves the process executed. It says nothing about what the pipeline learned, from which rows, in what state, or whether the saved result can…
Extending TotalSegmentator: Predicting Patient and Acquisition Characteristics from CT and MR Images
arXiv:2608.29348v1 Announce Type: new Abstract: Background: Patient details and acquisition metadata are important for clinical decisions, image quality…