arXiv:2608.24470v1 Announce Type: new Abstract: Heterogeneous agile Earth observation satellite (AEOS) scheduling requires task selection, satellite…
Category: AI
Barret Zoph, the Thinking Machines co-founder ousted before joining OpenAI, is now at Google
Zoph, who co-founded Thinking Machines Lab alongside Mira Murati and also served as the startup’s CTO, led a brief stint at OpenAI and is now at Google.
A Behavior-Guided Online Probabilistic Forecasting Method for Electric vehicle Charging Loads
arXiv:2608.24441v1 Announce Type: new Abstract: Electric vehicle (EV) charging loads exhibit strong behavioral heterogeneity and temporal variability,…
From State to Action: OODA-Tool for Reliable Multi-Turn Tool Use
arXiv:2608.24368v1 Announce Type: new Abstract: Reliable multi-turn tool use requires an agent to preserve an evolving task state and ensure that each…
Introducing OpenAI models on Amazon Bedrock for in-country inferencing in India
Amazon Bedrock now supports the OpenAI GPT-5.6 models, Terra and Luna, in India with India geographic cross-Region inference. If you have local data…
Do Recipes Have Personas? Characterizing and Generating Creator Style in Attributed Procedural Graphs
arXiv:2608.24369v1 Announce Type: new Abstract: While large language models (LLMs) possess vast zero-shot procedural knowledge, their tendency to produce…
New Platform Peers Inside AI’s Black Box
Prompt Claude, ChatGPT, Gemini, or any other popular large language model with a question like “What is the best film ever made?” and the response will…
A Judge Should Know What Changed:Construct Validity for LLM-as-a-Judge Evaluation
arXiv:2608.24419v1 Announce Type: new Abstract: LLM-as-a-judge evaluation is usually assessed by agreement and robustness to surface perturbations, but…
Agent Washing: Why Some Restaurant Operators Are Wary of Overhyped AI
For those in the restaurant industry, it seems like AI rollouts have hit a rocky road. In the Spring, Starbucks switched off a computer-vision system for…
ResiSpec: Enhancing Multi-Candidate Speculative Sampling via Residual Distribution Shaping
arXiv:2608.24411v1 Announce Type: new Abstract: The efficiency of Large Language Model (LLM) serving is fundamentally limited by the sequential nature of…