I think this is a wonderful idea, partly because I launched something like this 2 years ago: https://www.super-linear.org/

You are approximately correct in your assessments. Some pointers:

1. Starting out, it’s not super hard to get postings. People post informal prizes/bounties fairly frequently across EA channels (Bountied Rationality FB group is a great reference point).

2. The issue is that you basically cap out pretty fast - EA/alignment remains very small and bounties are an even smaller subset of this (if you think about it, general-purpose ad-hoc bounty/contract platforms aren’t even that big). This implies relying on small ad-hoc prizes at scale doesn’t work super well.

3. Instead, Manifund has a cool approach to this - it’s more of a GoFundMe for big AI Safety projects. This makes more sense because “big-ticket posts” have more effort and momentum put into them, so you get more actual activity going.

Feel free to reach out to me if you’d like to follow up on this. Manifund people are friendly too, and they’ll prolly welcome any questions you have. The focus is slightly different (general AI Safety/fieldbuilding vs AI Safety technical security), but >60% of the lesson would carry over prolly.

In the mean time, here is a list of several thousand misc AI Safety/alignment bounty ideas individually sourced and compiled by me from across the EA/alignment internet. Mostly fieldbuilding focused but some technical. Enjoy!: https://docs.google.com/spreadsheets/d/1JiuqMFi4BonKRnJQsTB3R8Y7eGShqRovDl-S24v6qsA/edit?gid=0#gid=0

Also check out Neel Nanda's open mech interp problems doc: https://docs.google.com/document/d/1p-ggQV3vVWIQuCccXEl1fD0thJOgXimlbBpGk6FI32I/edit

The CAMARA project's multi-agent approach to AI safety testing is fairly novel, but has some potential issues. Using AI agents to test AI systems could lead to blind spots - the testers might share limitations with the systems they're designed to evaluate. There's also a risk that the adversarial techniques developed could be misused if they fall into the wrong hands. it's not clear how it would handle emergent behaviors that only appear in real-world deployments.

Pretty great idea, echoing a lot of our thoughts from the [Apart Sprints](https://apartresearch.com/sprints) as well! There are still a few issues with a bounty platform like this that would need to be resolved, e.g. 1) which problems that require little work from me and can be given to others without revealing trade information would actually be high enough value to get solved while not causing security risks to my company and 2) how will this platform compete with places like AICrowd and Kaggle (I'd assume this would be mostly based on the AI safety focus). At the same time, there's some nice side benefits, such as the platform basically exposing predicted [incidents](https://incidentdatabase.ai/) for vulnerabilities at AI companies (though again, dependent on companies actually sharing this). Cool project and great to see many of your ideas in the live demo from your presentation!