Open problems · October 2026

Open problems: starter projects in world-model evaluation

Starter projects, from a day to a few weeks each, drawn from gaps our own work left open. Each links to a GitHub issue, where the details live and where you can claim it. Some will end in a negative result, and we publish those too. New here? Read Start here first.

Forecasting against the market (isotherm)

A third forecast source for the station weather model

Does adding ECMWF's AIFS or IFS improve isotherm's station weather model at the 16:00 day-before read? issue #58

An intra-hour benchmark for Bitcoin ladders

Does free outside data carry information beyond the quote on Kalshi's hourly Bitcoin ladders, read inside the hour before close? issue #59

A commodity model that holds up an hour before close

Can a better outside model make free futures prices competitive with Kalshi's commodity ladders 6 hours and 1 hour before close? issue #60

Score the live API's answers

How good are the answers the live API actually serves? issue #61

Sealed forward tests (forward)

Spread-aware weather entries

Would EMOS with NBM's own spread, or isotherm's station network, beat forward's best weather entry? issue #3

Does fine-tuning help a time-series foundation model beat copying?

Zero-shot, no released time-series foundation model beats copying the last price on Kalshi's price ladders. Does one beat it after fine-tuning on the underlyings? issue #4

Reproduce the price-ladder dry run from forward alone

Can a new contributor reproduce task 2 from a clone of forward? issue #2

Probing learned representations (causal-jepa)

Finish the convergence run that could reopen the programme

Does more training make the representation worse (finding 8), or was that an artefact of wide readouts? issue #4

Does the one surviving lift replicate at ten minutes?

Does the training lift on future realised volatility survive the raw-feature control at a ten-minute horizon, as it does at five? issue #5

Headroom on a different asset class, before any training

Can the probe targets that failed on hourly crypto ladders rank representations on another asset class? issue #6

Run the experiments on a locally rebuilt corpus

Can a contributor rebuild the corpus and run every script without extra configuration? issue #7

Evaluating under intervention

Design an intervention test for world models

Can we build a small, reproducible test of whether a model's predicted outcome of an action matches what actually happens? issue #5

Claim a problem by commenting on its issue. Propose a new one by opening an issue on the repository it belongs to. Contributing guides: in each repository, isotherm, forward, causal-jepa. Background: Start here.