Since October last year I've (with help of some critters) been hacking on a modification to an adult game called BDCC (Broken Dreams Correctional Center) - it's a game about a prison set in space where prisoners and guards engage in all kind of activities.

I liked the game, and I liked the openness of it as well - it's an open-source game with modding support, it felt like an invitation to something.

And so I started writing.
Because I wanted to try myself at modding.
Because I wanted to make something I felt was missing in base game.
Because I wanted to see if content I write can still have effect on myself.
Because I wanted to express my own sexuality in a way.
Because I want the mod to be a little statement and action behind my words of supporting sex-positivity by contributing something sexual and being public about it.

In May this year I've lost motivation to further work on the project, I fully expected that from beginning. It happened before reaching "full feature release" of what I wanted there to be, however it's fine as I'm happy with what I've achieved with this project thus far.

I made the mod mostly for myself, but if you like themes of #petplay (with PC taking submissive role) you may like it (do note, I do not consider myself a writer, and most of the mod is creative fiction). I publish releases on my Git forgejo instance https://git.frisk.space/Frisk/Issix-mod BDCC is a game by Rahi https://rahimew.itch.io/bdcc

#BDCC #mod #nsfw

Issix-mod

A mod for Broken Dreams Correctional Center featuring multiple characters. Anyone can contribute on https://github.com/Friskygote/Issix-mod

Frisk's projects

🚨 Thrilled to share that my article “ #TrustworthyAI for Whom? #GenAI Detection Techniques of Trust Through Decentralized #Web3 Ecosystems” has been selected as the April 2025 cover of #BDCC journal 🧠📡

https://www.mdpi.com/2504-2289/9/3/62

#DecentralizedAI #CoverStory #AcademicFediverse #OpenAccess

Trustworthy AI for Whom? GenAI Detection Techniques of Trust Through Decentralized Web3 Ecosystems

As generative AI (GenAI) technologies proliferate, ensuring trust and transparency in digital ecosystems becomes increasingly critical, particularly within democratic frameworks. This article examines decentralized Web3 mechanisms—blockchain, decentralized autonomous organizations (DAOs), and data cooperatives—as foundational tools for enhancing trust in GenAI. These mechanisms are analyzed within the framework of the EU’s AI Act and the Draghi Report, focusing on their potential to support content authenticity, community-driven verification, and data sovereignty. Based on a systematic policy analysis, this article proposes a multi-layered framework to mitigate the risks of AI-generated misinformation. Specifically, as a result of this analysis, it identifies and evaluates seven detection techniques of trust stemming from the action research conducted in the Horizon Europe Lighthouse project called ENFIELD: (i) federated learning for decentralized AI detection, (ii) blockchain-based provenance tracking, (iii) zero-knowledge proofs for content authentication, (iv) DAOs for crowdsourced verification, (v) AI-powered digital watermarking, (vi) explainable AI (XAI) for content detection, and (vii) privacy-preserving machine learning (PPML). By leveraging these approaches, the framework strengthens AI governance through peer-to-peer (P2P) structures while addressing the socio-political challenges of AI-driven misinformation. Ultimately, this research contributes to the development of resilient democratic systems in an era of increasing technopolitical polarization.

MDPI

#GoodNews!

My article has been accepted for #Publication:

My article ' #TrustworthyAI for Whom? #GenAI Detection Techniques of Trust Through Decentralized #Web3 Ecosystems' stemming from #HorizonEurope project has been accepted for publication in #journal #BDCC #BigDataCognitiveComputing in its current #preprint form

https://preprints.org/manuscript/202501.2018/v2

Falls es euch auch so geht wie mir und ihr euch fragt, was man tun kann, damit bei der kommenden Neuwahl die Demokratiefeinde nicht noch stärker werden, hab ich da was entdeckt. #bdcc https://www.bdcc.online/
Bündnis Demokratischer Content Creator