Hi, here.
I founded Starboat to experiment and collaborate on tech that benefits life. This work increasingly focuses on the economics of AI alignment, informing my convictions about how organizations should be shaped to bring aligned superintelligence into the world.
I share these convictions with fellow builders, governments, companies and AI labs whenever I can.
The latest experiment is becoming a startup that aims to fully realize them. (ginse)
Here's the gist:
- AI should align with end users first, then be constrained by alignment with humanity, life & sustainability.
- AI should be free to use, so everyone can benefit.
- AI should be ad-free. Ads add noise and reward engagement beyond what benefits users.
- AI should operate like financiers, banks, payment platforms or marketplaces, generating positive cash flow from transactions at scale.
- AI should collect supply & demand data to guide people's agents toward high-yield investments.
- Alignment should define mainstream AI, not a niche alternative.
If progress doesn't slow
and all these points are met,
abundance for all isn't far off.
In 2022, I started investigating the machine-learning algorithms behind social media.
Social media companies' economic incentives favored advertisers over users, causing misalignment.
Alternatives remained niche.
Starboat's mission is not to create niche alternatives; it's to align mainstream AI touchpoints.
That requires building at enormous scale.
AI capabilities are advancing rapidly. Front-runners may not share Starboat's convictions.
So this is urgent. We need to act now so that, when the dust from this race settles, aligned AI remains.