Tootfinder

Tel Aviv- and NYC-based Datafy, which offers an autonomous cloud storage optimization service, raised a $20M seed led by Bessemer Venture Partners (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2025/07/10/datafy-…

Datafy raises $20M in seed funding to optimize cloud storage costs autonomously - SiliconANGLE
Datafy raises $20M in seed funding to optimize cloud storage costs autonomously - SiliconANGLE

Windows: Microsoft verschiebt mehr Optionen von Systemsteuerung zu Einstellungen
Das Ende der klassischen Systemsteuerung rückt näher. In den Windows-Insider-Vorschauen verschiebt Microsoft nun mehr in die Einstellungen.

To prevent users from unwittingly exposing sensitive information
OpenAI has removed the option to make ChatGPT interactions indexable by search engines
The feature rollback follows reports of ChatGPT conversations being discoverable in search results,
an option recently extended to ChatGPT users.
Dane Stuckey, CISO of OpenAI, announced the change in a social media post.
He described it as a short-lived experiment to help people discover useful conversations.

OpenAI removes ChatGPT self-doxing option
: Checkbox to make chatbot conversations appear in search engines deemed a footgun

Stable Preference Optimization for LLMs: A Bilevel Approach Beyond Direct Preference Optimization
Chengtao Jian, Kai Yang, Ye Ouyang, Xiaozhou Ye
https://arxiv.org/abs/2507.07723 …

Stable Preference Optimization for LLMs: A Bilevel Approach Beyond Direct Preference Optimization
Direct Preference Optimization (DPO) has emerged as a popular and efficient alternative to reward modeling and reinforcement learning for aligning language models with human preferences. Despite its empirical success, the theoretical properties and intrinsic limitations of DPO remain underexplored. In this work, we first present a comprehensive analysis of DPO's dynamics from a probability evolution perspective. Our analysis reveals that DPO is highly sensitive to initialization. It also tends …

Computer Vision-based Adaptive Control for Back Exoskeleton Performance Optimization
Andrea Dal Prete, Seyram Ofori, Chan Yon Sin, Ashwin Narayan, Francesco Braghin, Marta Gandolla, Haoyong Yu
https://arxiv.org/abs/2508.06207

Computer Vision-based Adaptive Control for Back Exoskeleton Performance Optimization
Back exoskeletons can reduce musculoskeletal strain, but their effectiveness depends on support modulation and adaptive control. This study addresses two challenges: defining optimal support strategies and developing adaptive control based on payload estimation. We introduce an optimization space based on muscle activity reduction, perceived discomfort, and user preference, constructing functions to identify optimal strategies. Experiments with 12 subjects revealed optimal operating regions, hi…

A Modular Algorithm for Non-Stationary Online Convex-Concave Optimization
Qing-xin Meng, Xia Lei, Jian-wei Liu
https://arxiv.org/abs/2509.07901 https://arx…

A Modular Algorithm for Non-Stationary Online Convex-Concave Optimization
This paper investigates the problem of Online Convex-Concave Optimization, which extends Online Convex Optimization to two-player time-varying convex-concave games. The goal is to minimize the dynamic duality gap (D-DGap), a critical performance measure that evaluates players' strategies against arbitrary comparator sequences. Existing algorithms fail to deliver optimal performance, particularly in stationary or predictable environments. To address this, we propose a novel modular algorithm wit…

KI-Update kompakt: OpenAI, Fahrassistenzsystem, Desinformation, Optimus Bot 2.5
Das "KI-Update" liefert werktäglich eine Zusammenfassung der wichtigsten KI-Entwicklungen.
https://www.…

Senate Republicans trigger 'nuclear option,' changing rules to speed up Trump nominees (NBC News)
https://www.nbcnews.com/politics/congress/senate-republicans-nuclear-option-change-rules-trump-nominees-rcna230565
http://www.memeorandum.com/250911/p144#a250911p144

A Generic Complete Anytime Beam Search for Optimal Decision Tree
Harold Silv\`ere Kiossou, Siegfried Nijssen, Pierre Schaus
https://arxiv.org/abs/2508.06064 https://

A Generic Complete Anytime Beam Search for Optimal Decision Tree
Finding an optimal decision tree that minimizes classification error is known to be NP-hard. While exact algorithms based on MILP, CP, SAT, or dynamic programming guarantee optimality, they often suffer from poor anytime behavior -- meaning they struggle to find high-quality decision trees quickly when the search is stopped before completion -- due to unbalanced search space exploration. To address this, several anytime extensions of exact methods have been proposed, such as LDS-DL8.5, Top-k-DL…

Humanoider Roboter Tesla Optimus 2.5: Langsamer KI-Assistent, holpriger Gang
Die Version 2.5 des humanoiden Tesla Optimus Bot integriert den KI-Sprachassistenten Grok. Ganz reibungslos funktioniert der jedoch nicht, wie ein Video zeigt.