Provenance Record

Strong research News piece (747 words) that lays out the method, the per-model results, and the limitations, with disciplined per-outlet quote attribution.

Both snapshots read from disk (HTTP 200; source-1 is an archive capture of the Tech Xplore page, which is the committed provenance copy). source-0 (MIT News) confirms verbatim every quote — Grand ('Today's language models are primarily optimized to answer complex queries' / 'Our work shows that asking informative questions depends on the ability to predict and simulate the world'), Pepe ('GPT-5 can beat your average Battleship player …'), Andreas ('What I find most exciting about this work …'), and Stanford's Robert Hawkins ('makes a compelling case that the real bottleneck …') — plus the 'individual particles' Monte Carlo description, the 8%→82% Llama 4 Scout result, the GPT-5 at ~1% cost claim, the 15% auto-formalization boost, the Guess Who? figures (Llama 4 Scout 30%→over 72%, GPT-4o 62%→90%), the ICLR oral presentation, and the author list (Grand, Pepe, Andreas, Tenenbaum). source-1 (Tech Xplore) confirms the 'Collaborative Battleship' captain/spotter setup, the 8%→82% headline figure (supporting the one compound citation), and the GPT-4o-mini 'nearly 30%' / Claude 4 Opus 'about eight points' answering results.

Every quote is verbatim with correct speaker attribution; every model name and percentage traces to a cited source. The sole 'both MIT News and Tech Xplore' compound citation (8%→82%) is carried by both outlets. Tenenbaum and the MIT-only quotes are correctly cited to MIT News alone; the Tech-Xplore-only answering figures (GPT-4o-mini, Claude 4 Opus) are cited to Tech Xplore alone — no overreach.

Fully-verified AI-research News piece with verbatim quotes and correct per-outlet attribution. APPROVE.