# Ai2 — OlmoEarth v1.3 > AI lab announcements, news reports and podcasts. forck.live follows what companies announce about their own products. Press may corroborate an official story; it never leads and never appears as an item of its own. A missing date stays missing. A title is the publisher's words — where a company does not publish in English, an English rendering is listed separately as `Title in English` and named as this site's translation, never as theirs. This file is the record of one model version: what the model registry states about it, Ai2's launch post, the first-party posts this record holds about it, the outlets that reported on those posts, and other companies' announcements that it runs on their platforms. A model ranks nothing here and nothing is composed: each date names whose it is, and a field nothing states is `not stated` rather than missing. - This model's page: https://forck.live/models/olmoearth-v1-3 - Ai2's page: https://forck.live/company/ai2 - Every model: https://forck.live/models - Catalogue: https://forck.live/llms.txt ## Model - Name: OlmoEarth v1.3 - Company: Ai2 (allenai.org) - Launch post: OlmoEarth v1.3: State-of-the-art embeddings for the whole planet — https://forck.live/items/26638-olmoearth-v1-3-state-of-the-art-embeddings-for-the-whole-planet - Announced: 2026-10-22 - Launch source: https://allenai.org/blog/olmoearth-v1-3 - Launch chosen by: a person, pinned in the model registry - Released (per models.dev): 2026-10-22 - Listed (per OpenRouter): not stated - Open weights: not stated - Posts about it: 1 - Outlets named under its posts: 1 ## Posts about it _Ai2's own posts whose title names OlmoEarth v1.3, and its launch post, in the record's order: dated newest first, undated last. The record reads the newest 50 first-party posts mentioning the model, every company's together, so a model mentioned more often than that lists the newest of them._ Every entry is one first-party announcement, and carries the same eight fields in this order before any others: Company · Announced · Category · Coverage · Announcement · Group · Source · Record `Source` is the company's own page the announcement was traced to and `Record` is this site's page for it. Both are safe to cite. `Coverage` is a number of outlets, or `not counted` — which means this record reached no count of its own, never that nobody wrote about it. `Category` is this tracker's own analysis, and is authoritative wherever it is stated. `not stated` means either that nothing has analysed the post yet or that the analysis placed it outside this taxonomy; neither is a verdict about the announcement. `Announcement` is whether the post is news of something the company did, rather than a how-to, a customer story, a changelog listing or a staffing note. `Group` is which of this record's groups the entry falls in, carried on the entry itself so it holds where the groups are headings and where they are not. One of: `models`, `covered`, `announcements`, `routine`. Anything after `Record` is held detail that only some announcements carry. ### Ai2 — OlmoEarth v1.3: State-of-the-art embeddings for the whole planet - Company: Ai2 (allenai.org) - Announced: 2026-10-22 - Category: new-model - Coverage: not counted - Announcement: yes - Group: models - Source: https://allenai.org/blog/olmoearth-v1-3 - Record: https://forck.live/items/26638-olmoearth-v1-3-state-of-the-art-embeddings-for-the-whole-planet - Subject: Olmo / Molmo / Asta Ai2 is releasing OlmoEarth v1.3, a satellite embedding model it says produces one 128-dimensional vector for every 10-meter pixel on Earth, and sharing annual embeddings for the whole planet. The post says users previously had to fine-tune in OlmoEarth Studio, which needs GPU access and imagery storage, while embeddings compress satellite data into features that can be reused cheaply. Ai2 evaluated the embeddings against AlphaEarth Foundations and Tessera v2 across 27 evaluations spanning six continents; it says the 128-dimensional version scores highest on 20 of 27 and the 64-dimensional version, at half the size, leads on 18. Ai2 says OlmoEarth v1.3 was its cheapest model to train, taking 53% of the computing time of v1.2 and 18% of v1, with 50% and 22% of the carbon emissions. Precomputed embeddings sit on Source Cooperative, and the OlmoEarth Embeddings Explorer lets users pan a false-color map, flip between years, find similar places, train a small classifier and export a GeoTIFF without an account. The archive holds 10-meter-resolution embeddings at roughly 150 TB per year; at launch 2025, 2024 and 2023 are global, and 2017 to 2022 cover select countries. ## Who reported on it _Outlets this record can name and link, under the first-party post each one covered. Their number is `Outlets named under its posts` above, and the rows are not totalled again. A post's own `Coverage` can be higher: it counts outlets the signal saw that this record cannot name and link._ ### On: OlmoEarth v1.3: State-of-the-art embeddings for the whole planet Record: https://forck.live/items/26638-olmoearth-v1-3-state-of-the-art-embeddings-for-the-whole-planet - SiliconANGLE — Ai2 releases OlmoEarth v1.3 state-of-the-art AI-ready satellite embeddings for the whole planet (2026-10-22T13:00:30+00:00): https://siliconangle.com/2026/10/22/ai2-releases-olmoearth-v1-3-state-of-the-art-ai-ready-satellite-embeddings-for-the-whole-planet/ --- Record: https://forck.live/models/olmoearth-v1-3 Catalogue: https://forck.live/llms.txt Current issue: https://forck.live/feed.md