Big models are going to "tap out" on non verifiable fields within ~2 years, just because the pool of experts able to reinforce the models is going to get very small, and as the nuances get finer, the signal from reinforcement is going to get progressively less aligned with the intent. Math and code will be mostly tapped out in that time frame as well, even though we can technically scale them "infinitely," just because the cost benefit won't line up. At that point, most RL will be "gyms" with games that are designed to model designated valuable economic activity.

In the next few years, we'll get small domain specific distillates that are ridiculously smart in their domain (imagine if Qwen 3.X 27B went super saiyan), and even frontier labs will be routing to experts/orchestrating because the cost to serve/TPS difference is huge. They'll still train the god models for PR/marketing, c-suite use and distillation, but using them for day to day work would be like making houseware out of solid gold.

The data is mostly coming from places like Scale/Mercor/etc and net dumps with some filtering and batch prioritization, and RL on verifiable domains like code/math/games.

It can be controlled from your phone once paired, and it lets you actually see agents that it orchestrates in the threads. Also if you use MCP Apps, it can integrate those into threads.

Given the reduced competition, you couldn't find primo jobs unless you moved to a hub (which is why most people are in NYC/SF/LA), but when you found a job it was more stable.

It's been a lot of fun, Godot and agents have taken most of the pain I remembered from my childhood attempts at game dev out of the equation so I can focus on game mechanics, art and lore. I'm almost ready to start soliciting external playtesters (which I'll admit is a bit stressful), I just need to clean up the UI/card templating/art/tooltips/etc so the game is accessible out of the gate and I don't churn for reasons other than the gameplay not being tuned yet.