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@2imi9 2imi9 released this 01 Jun 04:02
v1.1.0
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Learn about vigilant mode.

Post-1.0 checkpoint: two new skills (catalog 15 -> 17), the make serve cache fix, and the sandbox / GDM / quick-start documentation pass.

Added

  • Skill #16 olmoearth-litsearch: arXiv + OpenAlex literature search and DOI / arXiv-id resolution, so the agent can ground EO/geospatial citations in real papers instead of world-knowledge or hallucinated links. Key-free in-process tool bundle, deduped across sources (#62).
  • Skill #17 olmoearth-automate: auto-decides embeddings vs fine-tuning for an EO task and proposes a config (model size, classifier head, embeddings-notebook command, fine-tune schedule, Studio job-config hand-off). Reuses the vendored olmoearth-embeddings decision table and can introspect a Hugging Face dataset (#58).
  • docs/science-skills-assessment.md: a multi-agent assessment of Google DeepMind's science-skills, re-confirming the bundle is off-domain and that literature search is the one transferable capability (#69).

Changed

  • Quick start reworked around the live web UI; the LLM is positioned as a "local or cloud API" choice (#66).
  • README skill count corrected to 17 (#71).
  • olmoearth-embeddings (#4) and olmoearth-automate (#17) disambiguated in README + SKILLS so the two Configure skills no longer read identically: #4 is the guidance + runnable-notebook generator, #17 is the one-call auto-decide + config that reuses #4's logic (#73).
  • Corrected the system:python sandbox spec across docs (opt-in subprocess, not a preloaded persistent interpreter) (#68).

Fixed

  • make serve reuses the cached model: the compose bind-mounts the host Hugging Face cache so a second make serve skips the ~17.7 GB re-pull (#67).

Full changelog: v1.0.0...v1.1.0

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