2026-10-11 17:12 UTC

Artifact release and independent reproduction will determine whether the reported 1.57B-parameter Dreamer 4 world model was trained from scratch for under $150 and can sustain controllable prediction for roughly 144 frames.

state: expiredheat: lowuncertainty: highknownscott: lowworld-models efficient-training open-researchOtherRaisin3426

What is this?

Dreamer 4 is a world-model agent architecture that uses a causal tokenizer and block-causal dynamics model to predict interactive environments and train control policies through imagined experience. The case concerns a purported unofficial 1.57B-parameter CoinRun reproduction by “OtherRaisin3426,” reportedly trained from scratch for under $150 and capable of controllable prediction for about 144 frames. Supplied results confirm that unofficial Dreamer 4 implementations and published training recipes exist, but they do not independently substantiate this reproduction’s exact cost, model size, or prediction duration; those claims remain dependent on the pending primary artifact and reproduction.

Why it matters to Scott

The evidentiary posture is already held in Scott’s Provenance-Coupled Work and Verification Loops: the cost, scale, and prediction claims should remain provisional until artifacts and independent reruns make them inspectable. The radar also tracks a near-identical reproduction question on the “single-5090-playable-world-model” page, so this is currently another unverified instance rather than a development that would change Scott’s view or practice.
ip:framework.provenance-coupled-workip:concept.verification-loopsip:concept.evidence-packageradar:single-5090-playable-world-modelradar:concept.world-modelsradar:concept.training-efficiencyradar:concept.verification
queries asked of Scott's wikis
  • world models for agent planning and control
  • cheap training of billion-parameter models
  • artifact-backed reproducible AI research
  • long-horizon controllable video prediction
  • open implementations of unreleased model research
  • compute-cost verification and training receipts

Measured heat

no measured readings yet — the hourly heat pass fills this in

How the heat travelled

no chain yet — the hourly chain pass fills this in

Evidence (2) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟠 redditI trained a 1.57B-parameter Dreamer 4 World Model from scratch for under $150
LocalLLaMA
OtherRaisin34268010
🟧 echo.github ⭐The earliest primary artifact I found is the repository’s initial July 31, 2026 release. It reports a Dreamer 4 CoinRun world model trained Raj Dandekar / Vizuara AI Labs——

Interpretation history

Decision trace