Prometheon

A Bittensor subnet where miners compete to build better AI moderation systems. Built for safer digital platforms.

[Prometheon @PrometheonSN]

Prometheon is building toward a future where platform operations are increasingly automated by AI.

Today, one of the largest infrastructure costs for digital platforms comes from repetitive operational tasks — many of which still require thousands of people working continuously.

The market is already moving:

• Meta (Facebook/Instagram)
$20B+ invested in safety & security since 2016
- 40,000 safety-related workers
- 15,000 content moderators

• Facebook moderation outsourcing
- Accenture: $500M/year estimated
- TaskUs: $150M/year estimated

• TikTok (H2 2025, EU)
112M pieces of content removed
- 93.8% handled automatically

• Hive AI
- $2B valuation (2021)
600M+ human moderation judgments

These numbers show a clear trend:
AI-powered moderation and platform automation are becoming essential infrastructure.

Prometheon does not claim to own this entire market. We aim to become one important contributor within this rapidly growing ecosystem.

We are starting with content moderation, and will expand toward areas such as:
• Bot detection
• Spam account detection
• Other platform safety intelligence systems

The foundation is simple:

High-quality AI models require high-quality data and evaluation.

Our role is to build the market pathway and business ecosystem. The role of miners is to create the best possible models and datasets that can compete in this new market.
Together, let's build another powerful creation on Bittensor.
#Bittensor #AI #MachineLearning #ContentModeration #DecentralizedAI

[Prometheon @PrometheonSN]

Prometheon begins from a stricter principle:

The moderator itself must be continuously tested against changing, hidden cases.

Deployment is not proof of quality.

[Prometheon @PrometheonSN]

Reddit is moving beyond keyword matching toward LLMs that interpret the intent of community rules.

That is the right problem.

But AI moderation must be measured on false positives, missed harm, context, and adversarial adaptation—not trusted simply because it uses an LLM.

[The Verge @verge]

It’s also planning big changes for developers and old Reddit. https://t.co/wwYTCvK63E

[Prometheon @PrometheonSN]

Fake accounts are visible. Coordinated behavior is harder.

The same words can be harmless in one context and manipulative in another.

Static rules describe yesterday’s abuse.

Prometheon is being built to measure how moderation systems perform against behavior that adapts.

[Safety @Safety]

We believe that authenticity is the foundation of trust, and we’re committed to maintaining the integrity of our platform by promoting authentic engagement and minimizing the influence of fake, deceptive, or coordinated inauthentic activity.

This is why we don’t just address impersonation, platform manipulation, spam, scams, and other forms of misleading behavior; we actively combat them. We use a combination of technology and human oversight to detect and disrupt inauthentic activity, especially when it undermines healthy conversations, misleads users, and attempts to manipulate our systems.

https://t.co/I9vOTG0qPW

[Prometheon @PrometheonSN]

Social behavior changes faster than static moderation rules.

Spam adapts.
Manipulation coordinates.
Context shifts.

Prometheon is being built to turn AI moderation into an open, measurable competition that improves with the problems it faces.