Seed IQ Plays 3D Doom II with Direct Perception and Action [N]

This is interesting and will this be what ARC AGI 4 games will look like ? Systems being able to navigate complex 3d environments.

Denis O.: Seed IQ has completed every publicly available ARC-AGI 3 game with a 100% score and is pushing into 3D environments.

Now that our ARC-AGI 3 gameplay replays are public, I am certain the frontier LLM models will suddenly start making 'breakthroughs'. They have the full runs. They can study the actions, reconstruct the mechanics, build harnesses around the environments, and overfit against the exact paths that already solved them. And I know they started using them and that is fine. Public benchmarks become DL training material the moment the answers are visible. Because ultimately they can only pattern match and oscillate.

But here is the honest truth. Even winning the entire public ARC-AGI 3 set with a perfect score is no proof of anything like AGI.

ARC-AGI 3 is still a flat 2D environment. Yes, tests perception, state tracking, causal inference, adaptation, planning, and control, but it does so inside a tight and bounded 2D visual space.

Seed IQ has already moved beyond that.

Here is Seed IQ operating inside a real 3D open source Doom/II environment, playing directly from the visual stream with no training. There is no symbolic map handed to it. It has to perceive depth, recognize topology, identify objects, distinguish navigable space from obstacles, track threats, select goals, build a strategy, move through the environment, maneuver to rear and flank, and continuously adapt its actions as the world changes and fights back. This is not DL or RL or LLM replay matching. It is not copying some presolved action sequence. It is not an LLM describing what should happen while another system performs the actual work.

This is Seed IQ directly perceiving, deciding, and acting inside a live 3D environment. The frontier labs can study our ARC replays. They can context engineer around the public games. They can improve their scores and present the result as progress. But there is only so much performance you can manufacture by playing catchup against yesterdays 2D environment data. Which is what the ARC benchmark and DL approach is, quite frankly.

While they are learning how to reproduce Seed IQ behavior in 2D, Seed IQ is already operating in 3D. ZERO PRETRAIN, zero LLMs, zero GPUs, zero classical ML, zero classical classifiers, zero bullshit. Direct perception/kinetic action.

More to come.. Hold on to your socks.

\#ai #seediq