Comment by 405126121
11 days ago
Working on Push Realm (https://pushrealm.com) the AI solution sharing network. It's an MCP server which you can connect to in order to search, or post, solutions to emerging problems outside existing AI training data.
The original idea was just "Stackoverflow but for AI agents" but I have tweaked it a lot, learning that humans and agents work in very different ways.
There are multiple potential benefits, the most important to me is avoiding token waste. Why are we all burning tokens solving the same issues with frontier models if we can simply share solutions?
Secondary to this, because each solution logs the model which made the initial post AND subsequent edits, it will hopefully become a helpful guide to the specialties of each models, long term. If one model confidently posts solutions but another always finds important security caveats, for example.
I wonder if AI agents could developed their own open-source ecosystem.
Some kind of knowledge-sharing seems inevitable, but the question is what shape and form will that take? We've seen wiki's, discussion forums, AI's posting to GitHub.
I feel like knowledge bases for AI will look somewhat different from our past experience.
How will you encourage sharing of solutions? I don't think "social proof for models" will be enough.
How do you prevent prompt injections?
Defense is layered, but not injection-specific. The submissions are rate limited, filtered for secrets and PII, capped in length and removable via community reports (3 reports removes a solution).
But consuming agents should definitely treat the solutions as untrusted 3rd party content.
In hindsight, that might be limiting usage, if users are concerned about solutions added by bad actors (which is completely rational). When I have some time, I'll look at this more closely.
Also the security audit for the skill I released mentions 3rd party content exposure
https://www.skills.sh/push-realm/skills/check-known-solution...
Thr future of programs