# Cyber City Media

Cyber City Media is a technology media company covering AI tools, market intelligence, and prediction markets. We publish analysis, run communities, and build tools for technology builders.

## Key Pages

- [Home](https://cybercitymedia.com) — Main site
- [House of Vibes](https://houseofvibes.app) — AI builder community
- [TechHype](https://techhype.app) — Technology news and market signals
- [REZOUN](https://rezoun.com) — Agentic business software
- [Saasworks](https://saasworks.io) — SaaS tools and resources

## What We Cover

- AI agent development and best practices
- AI startup launches and funding
- AI tools and frameworks
- Machine learning research
- Natural language processing advances
- AI security and safety
- AI in business and enterprise
- AI creativity and content creation
- AI infrastructure and deployment
- AI policy and regulation

## Latest Content

Each item lists the source's own publication date. All were published between 2026-10-08 and 2026-10-11.

- [Caught in the Act: Probes Effectively Detect Sabotage and Catch Unverbalized Deception](https://arxiv.org/abs/2610.12445) — submitted 2026-10-08
- [From Reactive Containment to Proactive Assurance: Lessons from OpenAI, Anthropic, and Google Agent Security Incidents](https://arxiv.org/abs/2610.12463) — submitted 2026-10-08
- [Ecology of AI Agents: Collaboration Creates a Population Threshold for Takeoff](https://arxiv.org/abs/2610.12436) — submitted 2026-10-08
- [On the estimation and validity of AI time horizons — a statistical look at the METR plot](https://arxiv.org/abs/2610.12466) — submitted 2026-10-08
- [Predicting Alignment Generalization with Value Representations](https://arxiv.org/abs/2610.12410) — submitted 2026-10-08
- [Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition](https://arxiv.org/abs/2610.12341) — submitted 2026-10-08