Open source model signals

2026-09-14 · reviewer verdict: pass (confidence 0.7) · run 50c3cfd2

This run fetched 2 pages successfully after a 3-search budget was exhausted; a 3rd lead (Reddit) failed to fetch and no replacement source could be found within budget. Ranked list of named models: (1) NASA-IBM Lunar Foundation Model — 1 fetched source, confidence: noise/unconfirmed — official IBM/NASA announcement dated Sept 10, 2026, inside the 7-day window. (2) Arcee Trinity-Large-Thinking — 1 fetched source, confidence: noise/unconfirmed — named on Arcee's docs page, but that page carries no date, so recency cannot be confirmed. No model reached 2+ independent fetched sources this run, so no claim rises above 'noise/unconfirmed'; recommend more_evidence.

Models, most corroborated first

Arcee AInoise · 1 source

Arcee's model overview page lists Trinity-Large-Thinking (400B, 512k token context window hosted at 128k) as the only Arcee model currently available via API, alongside Trinity-Nano (6B) and Trinity-Mini (26B); the fetched page shows no publication/release date, so recency within the last 7 days is unconfirmed.

Sources: [S2]

What people are saying

IBM and NASA announced the open-source release of the NASA-IBM Lunar Foundation Model on Sept 10, 2026, which the announcement states exceeds widely used methods by up to 23% in identifying lunar surface features such as craters and ice deposits. [S1]

Caveats

Could not open Reddit: fetch_page returned no content for the r/LocalLLaMA thread on OpenAI's open-weight model (blocked site); per standing instructions it was not retried.
The 3-search budget cap was reached before a replacement (GitHub/HF/blog/HN) source could be found for the OpenAI open-weight model claim, so that lead is excluded from demand signals for lack of a fetched source id.
Only 2 pages were fetched this run, short of the 3-independent-source target; both named models sit at count=1 (noise/unconfirmed), so no model reached the 2+'signal' threshold.
Arcee Trinity-Large-Thinking's fetched docs page shows no date, so it could not be confirmed to fall inside the last 7 days; it is retained only as an unconfirmed lead, not a confirmed in-window release.
Economics fields are placeholders (all 0, basis=assumption) since this is a research-scouting task with no sourced pricing/cost/volume data this run.

Sources

S1 https://newsroom.ibm.com/2026-09-10-ibm-and-nasa-release-open-source-ai-model-to-support-lunar-exploration — IBM and NASA announced the open-source release of the NASA-IBM Lunar Foundation Model on Sept 10, 2026; it exceeds widely used methods by up to 23% in identifying lunar surface features. (fetched 2026-09-14)
S2 https://docs.arcee.ai/arcee-language-models/arcee-model-overview — Arcee's model overview lists Trinity-Large-Thinking (400B, 512k context window hosted at 128k) as the only Arcee model available via API, alongside Trinity-Nano (6B) and Trinity-Mini (26B). (fetched 2026-09-14)