Tootfinder

A survey of 900 US Google users: of ~69K searches, 18% gave AI Overviews; of those, users clicked a link 8% of the time, compared to 15% with no AI summary (Pew Research Center)
https://www.pewresearch.org/short-reads/20

Google users are less likely to click on links when an AI summary appears in the results
In a March 2025 analysis, Google users who encountered an AI summary were less likely to click on links to other websites than users who did not see one.

wiki_users: Wikipedia user interaction (2011)
A network derived from interactions between editors of the English language Wikipedia, as derived from the edit histories of 563 wiki pages related to politics. A positive sign indicates positive links such as trust or similarities, and a negative sign indicates distrust or disagreement.
This network has 138592 nodes and 740397 edges.
Tags: Social, Online, Signed

Sundar Pichai says the Gemini app has 450M MAUs, with daily requests up 50% from Q1, AI Overviews has 2B MAUs, and AI Mode has 100M MAUs in the US and India (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/07/23/googles-a…

Google's AI Overviews have 2B monthly users, AI Mode 100M in the US and India | TechCrunch
Google shared new stats about its AI features' adoption during its Q2 earnings.

Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users
Weixin Chen, Yuhan Zhao, Li Chen, Weike Pan
https://arxiv.org/abs/2507.17749 https…

Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users
Cross-domain recommendation (CDR) methods predominantly leverage overlapping users to transfer knowledge from a source domain to a target domain. However, through empirical studies, we uncover a critical bias inherent in these approaches: while overlapping users experience significant enhancements in recommendation quality, non-overlapping users benefit minimally and even face performance degradation. This unfairness may erode user trust, and, consequently, negatively impact business engagement…

OMFG
"A hacker compromised a version of Amazon’s popular AI coding assistant ‘Q’, added commands that told the software to wipe users’ computers, and then Amazon included the unauthorized update in a public release of the assistant this month"
https://www.

Hacker Plants Computer 'Wiping' Commands in Amazon's AI Coding Agent
The wiping commands probably wouldn't have worked, but a hacker who says they wanted to expose Amazon’s AI “security theater” was able to add code to Amazon’s popular ‘Q’ AI assistant for VS Code, which Amazon then pushed out to users.

If you're using Chrome, don't use VPN extensions like FreeVPN.One unless you don't mind it taking screenshots of every website you visit. (Use VPNs like Mullvad or Proton)
https://cyberinsider.com/chrome-vpn-extension-with-100k-i…

Chrome VPN Extension With 100k Installs Screenshots All Sites Users Visit
FreeVPN.One, a verified Chrome extension with over 100k installs on the Chrome Web Store, is taking screenshots of sites users visit.

Just had to upgrade my solo instance of hosted Mastodon from the smallest plan (est. 5 active users) to the next size (est. 20 active users), due to database storage exhaustion.
I’m still happy to pay someone else to deal with Ruby, and it’s certainly worth $9/month…
…and I’m also happy when it happens, but this is totally the fault of the network effects of the occasional @…

Bridging Generalization and Personalization in Wearable Human Activity Recognition via On-Device Few-Shot Learning
Pixi Kang, Julian Moosmann, Mengxi Liu, Bo Zhou, Michele Magno, Paul Lukowicz, Sizhen Bian
https://arxiv.org/abs/2508.15413

Bridging Generalization and Personalization in Wearable Human Activity Recognition via On-Device Few-Shot Learning
Human Activity Recognition (HAR) using wearable devices has advanced significantly in recent years, yet its generalization remains limited when models are deployed to new users. This degradation in performance is primarily due to user-induced concept drift (UICD), highlighting the importance of efficient personalization. In this paper, we present a hybrid framework that first generalizes across users and then rapidly adapts to individual users using few-shot learning directly on-device. By upda…

Telegram expands access to its TON crypto wallet, integrated into the Telegram app, for its 87M users in the US (Amanda Silberling/TechCrunch)
https://techcrunch.com/2025/07/22/telegrams-crypto-wallet-launches-in-the-us/

Telegram's crypto wallet launches in the US | TechCrunch
Telegram is expanding access to its crypto wallet for its 87 million users in the US.

slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed