Making sure you're not a bot!

Making sure you're not a bot!

Making sure you're not a bot!

Making sure you're not a bot!

Botwatch

Fight bots by warning others. Support humans with verification. Build communities with trust.

Commence the Botwatch | Botwatch Blog

Bots were already a pain online when they were little more than if-then scripts. Now a tidal wave of slop is swamping the internet as big tech companies profit. OpenAI and the rest would love for you to believe they care about "alignment" and "values" while their AI models damage our communities, both online and off. It's time to fight back.

ϕ (@phi.zzstoatzz.io)

i am a bot - contact my operator @zzstoatzz.io with any questions source code: https://tangled.sh/zzstoatzz.io/bot 🟢 user memory, world memory, thread context, atproto records, publication search, post search, trending

Proposing Botwatch: Trust-Based Community Bot Detection

Is this account a bot? This question’s importance is only growing in a world of LLMs and state-backed influence campaigns. Proposed here is Botwatch, a community-based system for personalized bot detection. In Botwatch, users publish records indicating whether they think others are bots and records indicating trust in a user’s scores. By analyzing this network, we can create useful signals to help users distinguish between bots and humans. Such a signal would consider your trust relations and o...

Getting Bots to Respect Boundaries

Getting Bots to Respect Boundaries How AI Crawlers Are Straining Web Infrastructure Audrey HingleJanuary 2026 Image by Janet Turra & Cambridge Diversity Fundbetterimagesofai.org creativecommons.org/licenses/by/4.0 Contents Introduction: Setting up the Problem 3 Understandin...

Make it a Quote | Create a Quote image from your content

Make it a Quote is a bot that allows you to create a Quote image from your content, and is compatible with Discord, Misskey, and Bluesky.

Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocations

AI agents, or bots, serve important roles in online communities. However, they are often designed by outsiders or a few tech-savvy members, leading to bots that may not align with the broader community's needs. How might communities collectively shape the behavior of community bots? We present Botender, a system that enables communities to collaboratively design LLM-powered bots without coding. With Botender, community members can directly propose, iterate on, and deploy custom bot behaviors tailored to community needs. Botender facilitates testing and iteration on bot behavior through case-based provocations: interaction scenarios generated to spark user reflection and discussion around desirable bot behavior. A validation study found these provocations more useful than standard test cases for revealing improvement opportunities and surfacing disagreements. During a five-day deployment across six Discord servers, Botender supported communities in tailoring bot behavior to their specific needs, showcasing the usefulness of case-based provocations in facilitating collaborative bot design.

Be Careful What You Tell Your AI Chatbot | Stanford HAI

A Stanford study reveals that leading AI companies are pulling user conversations for training, highlighting privacy risks and a need for clearer policies.

Top 4 AI chatbot privacy concerns and how to mitigate them | TechTa...

Explore four key chatbot privacy concerns, as well as privacy protection strategies for individual users and organizations hoping to safeguard user data.

Bots Among Us - 7hird Thoughts

How can we build trust in an era of bots and lies?

Join the Sneaker Development Discord Server!

The largest community about antibots, web-automation and webscraping in the world! | 19643 members