April 11, 2026
Today I was thinking about the simplicity of early text adventures. More specifically, I found myself marveled by a classic interaction in Zork where a player, perhaps feeling polite after opening a small mailbox, typed:
>thank youThe game’s response was immediate:
I don't know the word 'thank'.In its infancy, Honest AI (HAI) is going to behave a little like that.
There is a strange pressure in modern AI development to ensure a model always has an answer, even if it has to fabricate one to please the user. But for HAI, the priority isn't being “flashy” or “all-knowing” — it’s being grounded.
When HAI doesn’t know something, it will simply admit it. However, the goal isn't to stop at a dead end. It’s about building a framework where the AI can acknowledge a blind spot and then attempt to learn / research the answer responsibly using verified data rather than creative guesswork. This transparency is the core of keeping humans' best interests at the center of the project.
On the technical side, work has officially begun on the first practical application for HAI: An automated trading agent.
To be completely honest — staying true to the project's name — there isn’t anything demo-ready to show you yet. Most of today was consumed by the “invisible” work that doesn't make for a great milestone photo: setting up API architectures and writing the logic.
This is the foundational code that ensures the agent reacts to real market data rather than “hallucinating” a trend. It isn't flashy, but it's the work that keeps the system safe.
While HAI may not be super useful or impressive immediately, that is by design. We are not trying to replace human creativity for the sake of hype; we are attempting to point massive computational power at meaningful problems where human lives and the future genuinely stand to benefit.
That starts with a system that is honest about its own limits.
This marks Day 2 of the HAI build. Tomorrow, we'll further design the user experience and interface.