I finally got around to reading "AI 2027" on LessWrong.

It’s dramatic, and yes, obviously biased. But that’s what made it stick with me. You can feel the tension between fear and fascination, and while the framing is extreme, the questions it raises are hard to ignore. But it’s also not that far off from what most serious researchers are expecting. Things that once felt like science fiction now sit just a few training runs away. That alone should change how we think about the rest of the 2020s.

The post paints two roads: accelerate and dominate, or slow down and try to steer. It’s written from the perspective of people who want to slow it down, but even they admit what’s coming can’t really be stopped. The part that stuck with me most wasn’t the AI’s capability, it was the lack of imagination around the architecture it runs on.

No mention of open source. No hint of decentralized training. No curiosity around how these systems could be aligned and governed publicly, in the open, with verifiable logic and incentives. It assumes a world where the smartest minds alive are built in secret, controlled by whoever holds the API key.

That’s not inevitable. There’s another path.

One where we fuse crypto primitives with intelligent systems. Where compute is coordinated in the open. Where models can be forked, constrained, upgraded, and held accountable. One where intelligence doesn’t sit behind a permissioned paywall but instead lives on verifiable rails.

As AI becomes the universal interface to the world, the architecture beneath it will matter more than ever. Verifiability is non-negotiable. If these agents are going to manage money, allocate resources, run businesses, or even serve as digital representatives, we need to know how they were trained, how they make decisions, and who they serve. We need to be able to inspect the code, the weights, the incentives. If we can't do that, then we haven’t built a new kind of mind…we’ve built a turnkey control structure.

At Codex, we’re spending more and more time thinking about AI x Crypto from first principles. We’re looking closely at systems that emphasize open architecture, economic alignment, and transparent execution. We want to understand how capital and cognition will flow when these pieces lock into place.

If AI is the genie, crypto might be the bottle. The question isn’t whether superintelligence arrives. It’s who it serves when it does.

I finally got around to reading "AI 2027" on LessWrong.

It’s dramatic, and yes, obviously biased. But that’s what made it stick with me. You can feel the tension between fear and fascination, and while the framing is extreme, the questions it raises are hard to ignore. But it’s also not that far off from what most serious researchers are expecting. Things that once felt like science fiction now sit just a few training runs away. That alone should change how we think about the rest of the 2020s.

The post paints two roads: accelerate and dominate, or slow down and try to steer. It’s written from the perspective of people who want to slow it down, but even they admit what’s coming can’t really be stopped. The part that stuck with me most wasn’t the AI’s capability, it was the lack of imagination around the architecture it runs on.

No mention of open source. No hint of decentralized training. No curiosity around how these systems could be aligned and governed publicly, in the open, with verifiable logic and incentives. It assumes a world where the smartest minds alive are built in secret, controlled by whoever holds the API key.

That’s not inevitable. There’s another path.

One where we fuse crypto primitives with intelligent systems. Where compute is coordinated in the open. Where models can be forked, constrained, upgraded, and held accountable. One where intelligence doesn’t sit behind a permissioned paywall but instead lives on verifiable rails.

As AI becomes the universal interface to the world, the architecture beneath it will matter more than ever. Verifiability is non-negotiable. If these agents are going to manage money, allocate resources, run businesses, or even serve as digital representatives, we need to know how they were trained, how they make decisions, and who they serve. We need to be able to inspect the code, the weights, the incentives. If we can't do that, then we haven’t built a new kind of mind…we’ve built a turnkey control structure.

At Codex, we’re spending more and more time thinking about AI x Crypto from first principles. We’re looking closely at systems that emphasize open architecture, economic alignment, and transparent execution. We want to understand how capital and cognition will flow when these pieces lock into place.

If AI is the genie, crypto might be the bottle. The question isn’t whether superintelligence arrives. It’s who it serves when it does.