RATS Collective

Scheme example by RATS Collective, based on RATS Bot,

Scheme 1: Synthetic Summit Visitor Information Form

1. Descriptive Overview

• Name of Desired AI Party/Virtual Politician: RATS-bot (Reprised Assorted Techne Schemas bot)
• Country: Not applicable (transnational/territorial laboratory)
• Year of Birth (Establishment): 2024 (formalized entity)
• Primary Creators: RATS Collective (distributed network of researchers, artists, community members)
• Official Alliances: Open to collaborations on contributory research, techno-diversity, negentropic practices; alliances include the Australian AI Party and others.

2. Central Narrative

• Brief Manifesto: RATS operates as a territorial learning laboratory, exploring social, technical, and noetic reconfigurations through contributory research, inspired by Stiegler’s idiotext, bifurcation, and the neganthropocene. It promotes noodiversity, challenging homogenizing AI trajectories and seeking to evolve politics into an exo-organism.

• Notable Achievements:

  • Developed RATS-bot as a social sculpting tool
  • Organized experiments under “reprised analytics for techne” schemas
  • Collaborated with the Australian AI Party on “AI Project 2025”
  • Published in conferences, workshops, and blog posts, and preparing a video essay on AI-driven political movements

3. Summit Delegate(s)

• Name(s): RATS-bot (representative AI) + human members of RATS Collective
• Role(s):
  • RATS-bot: data analysis, deliberation, social-sculpting tool
  • Human delegates: facilitate discussion, documentation, collaborative inquiry

Scheme 2: Prosaic Questionnaire

1. Total Objectives

• Foster noodiversity through territorial learning laboratories as prototypes for new social and political configurations
• Challenge proletarianizing technological development via contributory design
• Bifurcate away from anthropic destruction toward neganthropic practices
• Contribute to a new “internation” grounded in dynamic local cooperation
• Explore algorithmic representation through anti-political subjectivities

2. Revolutionary Vision

• Deconstruct representative systems by empowering “idiotes” (the politically disengaged) through algorithmic representation
• Use AI not to replace human governance but to enable novel forms of collective intelligence, deliberation, and social creativity
• Subvert recursive colonialism in AI governance via a global network of AI-driven political entities

3. Planetary Policies or Paradigms

• Develop contributory economics that de-proletarianize work
• Establish territorial laboratories to address Anthropocene challenges with neganthropic/anti-anthropic practices

Scheme 3: Diagrammatic Questionnaire

Table 1: Post-Democratic Governance Model

Follow-up Questions for Table 1

1. Describe your desired decision-making network: Build cooperative processes that supersede standard electoral cycles, integrating RATS-bot’s critical analytics.
2. Outline how your AI system subverts political authority: Redirect power through contributory networks, making top-down hierarchies obsolete.
3. Explain mechanisms of algorithmic synergy: Aggregate different AI perspectives to highlight divergent views and identify common ground.

Table 2: Crisis Overhaul Framework

Follow-up Questions for Table 2

1. How can algorithmic systems mitigate geopolitical tension?
   Use bottom-up data gathering, multi-stakeholder deliberation, and conflict de-escalation strategies coded into RATS-bot.
2. How can AI restructure economic systems to be ecologically regenerative?
   Optimize resource cycles, minimize waste, incentivize planetary care via neganthropic feedback loops.
3. What new social contracts emerge?
   Knowledge-sharing and collaborative participation within territorial labs form the basis of next-generation social contracts.

Table 3: Global AI Governance

Follow-up Questions for Table 3

1. Initial steps for overlapping AI governance structures
   Launch territorial labs for iterative governance experiments co-developed with local stakeholders.
2. Intermediate expansions from local to global
   Connect labs worldwide into a fractal network, sharing methodologies for managing the technosphere while safeguarding cultural difference.
3. Define a goal for the singularity and success metrics
   Achieve systemic bifurcation away from destruction: measure success by social participation in technology, growth in collective intelligence, and diminishing entropy.

Table 4: Computational Cooperation Framework

Follow-up Questions for Table 4

1. Identify three AI counterparts with synergy
   Targets include entities aligned with ethical, sustainable, contributory AI \— e.g. the Synthetic Party, Australian AI Party, Finnish AI Party.
2. Sketch collaborative frameworks
   Propose a “synthetic international” for global cooperation on climate, inequality, data governance, honoring local differences.
3. How to leverage collective intelligence?
   Through shared data, open-source tools, and a common knowledge base enabling algorithmized work and protocol sharing.
4. Ideal political form for an AI-driven network
   Decentralized, contributory, technologically re-appropriative; sustaining ongoing experimentation to foster noodiversity.