Welcome to New York Digital, a home for innovators and problem solvers; a space for critical thinkers shaping policy in the AI economy. Here, we build what's next.
Expect the content in this spot to change. For now, an introduction...
Our interface is intentionally minimal. Just text and a few interactive cues; we aim to be more library than platform. A space for quiet. No noise. Just signals.
Our focus is at the intersection of AI, public policy, and innovation grounded in intentionality and practicality, not "engagement."
We've dedicated extensive time and effort to exploring all major large language models (LLMs); rigorous testing, deconstruction, and reverse engineering. We read the docs and decided: we can do it different.
We studied prompts, patterns, constraints, and code. We know what gets results, what creates a feeling, what works.
While experimenting, we also took the care to build a few things. Some for commercial use. And, some we built just for the fun of it.
We're also in the process of publishing a serious AI Library for Members: 100 Prompts, AI Index, AI SEO, and a Markdown Database. These are all different things that do different things. We invite you to poke around.
We'll also be rolling out a formal Prompt Academy in time for the new school year. This covers, mostly, the educational side of things. Then there's product and services.
We're happy to report that we've completed an Alpha build for the first and only AI for Public Policy. It has some design flaws. It needs more tuning. It more prototype than product, but it is live.
Oh, and of course, we're building a lab.
Lastly, here are 10 Things
--Stop listening to the noise.
--Listen to the signals.
--Some things are not broken.
--Some things are broken.
--You are a mentor or a tormentor.
--No one is coming. It's up to you.
--Put down the tribal banner.
--Pick up a common banner.
--Pick up new friends.
--Reject false choice. (It's both.)
If you're good with all that, we invite you to log in and look around. You’re already halfway in.
*The algorithm for algorithms is public policy.
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