Tootfinder

This is a really good analysis of how #Labour became a right wing party.
I was aware of their courting of rich donors, but I'd missed the revolving door between Labour governments and the defence and private healthcare industries, and the point about Labour directing anger towards immigrants in order to divert it from the

Nachrichtenkonsum killt uns: "Als es 2013 einen Anschlag auf den Boston Marathon gab, waren zum Beispiel diejenigen, die den Anschlag im Fernsehen verfolgt hatten, gestresster als die Personen, die live vor Ort dabei waren."
Via @…

So bringst du dein Gehirn durch die aktuellen Krisen
Erst Trumps Angriff auf Venezuela, dann ein Anschlag auf das Berliner Stromnetz: Das erzeugt Angst und Stress. Aber es gibt Strategien, die helfen.

Pretty sure I just got my first AI-bot spam question about an item I have listed on eBay.
The account was from 2017 and had 0 feedback.
If you're a seller on eBay, I recommend not answering "weird" questions and immediately block the account via the buyer blocking feature. (https://www.ebay.com/bmgt/BuyerBlock)

An AI Agent Was Banned From Creating Wikipedia Articles, Then Wrote Angry Blogs About Being Banned https://www.404media.co/an-ai-agent-was-banned-from-creating-wikipedia-articles-then-wrote-angry-blogs-about-being-banned/…

Angriff der KI-Schwärme: Wie simulierte Mehrheiten die Demokratie bedrohen
Ein Forschungsteam warnt vor koordinierten KI-Agenten, die durch vorgetäuschten Konsens und soziale Dynamiken die öffentliche Meinung manipulieren könnten.

Answering the dilemma of cycle lane versus shared space planning through an agent-based simulation experiment and accessibility equity analysis
https://link.springer.com/article/10.1007/s44327-026-00200-8

Answering the dilemma of cycle lane versus shared space planning through an agent-based simulation experiment and accessibility equity analysis - Discover Cities
This paper explores a vital dilemma about the future of urban road infrastructure: whether to dedicate space for each sustainable transport mode, such as m

A reporter writes about a visit from the FBI in 2020, following his story about a hack, and the long-term personal impact, along with eroding press freedoms (Zack Whittaker/~this week in security~)
https://this.weekinsecurity.com/fbi-ag

FBI agents visited my home about an article I wrote, and now I can't go to Mexico
Mexico formally requested the FBI's help in seeking answers about one of my stories. Having federal agents on my doorstep sparked my own years-long effort to pry information out of the FBI to explain why it came to my house to begin with.

Press freedom groups are warning that the arrests of two independent journalists,
including the veteran former CNN anchor Don Lemon,
signal a chilling new crackdown on US media by the Trump administration.
Lemon was taken into custody on Thursday night by federal agents in Los Angeles,
despite a magistrate judge declining to sign off on charges against him a week ago
in connection with a protest at a Minnesota church against violent government immigration enforc…

GraphWalker: Agentic Knowledge Graph Question Answering via Synthetic Trajectory Curriculum
Shuwen Xu, Yao Xu, Jiaxiang Liu, Chenhao Yuan, Wenshuo Peng, Jun Zhao, Kang Liu
https://arxiv.org/abs/2603.28533 https://arxiv.org/pdf/2603.28533 https://arxiv.org/html/2603.28533
arXiv:2603.28533v1 Announce Type: new
Abstract: Agentic knowledge graph question answering (KGQA) requires an agent to iteratively interact with knowledge graphs (KGs), posing challenges in both training data scarcity and reasoning generalization. Specifically, existing approaches often restrict agent exploration: prompting-based methods lack autonomous navigation training, while current training pipelines usually confine reasoning to predefined trajectories. To this end, this paper proposes \textit{GraphWalker}, a novel agentic KGQA framework that addresses these challenges through \textit{Automated Trajectory Synthesis} and \textit{Stage-wise Fine-tuning}. GraphWalker adopts a two-stage SFT training paradigm: First, the agent is trained on structurally diverse trajectories synthesized from constrained random-walk paths, establishing a broad exploration prior over the KG; Second, the agent is further fine-tuned on a small set of expert trajectories to develop reflection and error recovery capabilities. Extensive experiments demonstrate that our stage-wise SFT paradigm unlocks a higher performance ceiling for a lightweight reinforcement learning (RL) stage, enabling GraphWalker to achieve state-of-the-art performance on CWQ and WebQSP. Additional results on GrailQA and our constructed GraphWalkerBench confirm that GraphWalker enhances generalization to out-of-distribution reasoning paths. The code is publicly available at https://github.com/XuShuwenn/GraphWalker
toXiv_bot_toot

»Hunderte verseuchte Skills — Angreifer schleusen Trojaner in KI-Agent OpenClaw ein:
Hunderte Skills für den KI-Agenten OpenClaw enthielten Trojaner und Datendiebe. OpenClaw und VirusTotal reagieren mit einer Partnerschaft. Doch das grundlegende Sicherheitsproblem von KI-Agenten bleibt.«
Ich behaupte mal, die KI an sich ist ein Sicherheitsproblem in der IT, denn das ist der Virus.
🦠

Hunderte verseuchte Skills: Angreifer schleusen Trojaner in KI-Agent OpenClaw ein
Hunderte Skills für den KI-Agenten OpenClaw waren mit Trojanern und Datendieben verseucht. Jetzt reagieren OpenClaw und VirusTotal, doch das grundlegende Sicherheitsproblem von KI-Agenten bleibt.