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Earlier sources: Artificial Intelligence
Artificial intelligence covers systems that learn from data, generate content, perceive their surroundings, or act toward a goal. Follow model research, agent tooling, evaluation, and the infrastructure used to build and run these systems.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗5935 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- GitHub · Repository created · First archived
TedHaley/pensieve ↗
Search everything on your Mac by meaning, for you and your AI agents.
- GitHub · Repository created · First archived
inklingfree/inkling ↗
Open-source personal AI assistant that lives in your WhatsApp: email, calendar, group plans, reminders and errands. Self-hosted, and it asks before it sends anything as you.
- GitHub · Repository created · First archived
evangrubbs/ai-reaper-plugins ↗
Plugins for Reaper made by AI
- GitHub · Repository created · First archived
cobanov/pocketvibe ↗
Play three.js games on your retro handheld, and make your own with AI. A launcher, game store and starter kit for ROCKNIX and Android handhelds.
- Hugging Face · Model / dataset date · First archived
ObjEarth/ObjEarth-Data — dataset update ↗
## Dataset Structure | Domain | Dataset | Task | Raw Label | Path | Source | Modality | ☁️ Included | 🖥️ Server | |---------|---------|-------------|---------------|------|------|------|------|------| | 1-1 | AgroVG | Agricultural Visual Grounding | Box | `ObjEarth-Data/AgroVG/t1` | [here](https://huggingface.co/datasets/sauryrs/AgroVG) | RGB | ✅ | ⬇️☑️ | | 1-1 | AgroMind | agricultural remote sensing benchmark(13 tasks) | Q-A | `ObjEarth-Data/AgroMind/` | [here](https://huggingface.co/datasets/AgroMind/AgroMind) | RGB | ✅ | ⬇️☑️ | | 1-1 | gRef-CW | Generalised Visual Grounding in Agriculture
- Hugging Face · Model / dataset date · First archived
Suren10pearl/truecal-portion-features — model release ↗
# TrueCal portion features The image encoder of [Depth Anything V2 Small](https://huggingface.co/depth-anything/Depth-Anything-V2-Small-hf) (Apache-2.0), converted to Core ML (ML Program, Float16, iOS 17) by TrueCal's `export_portion_model.py`. - `PortionFeatures.mlpackage`: input `image`, RGB 476 x 630 (portrait), 0-255, with the ImageNet normalisation inside; output `features`, Float16 (1, 45, 34, 384), the patch features of the photo in rows. - `PortionHead.json`: TrueCal's portion head, a ridge regression on these features and the app's own numbers that corrects the AI's grams per food, wi
- GitHub · Repository created · First archived
floorianmb/prism-viz ↗
Prism: sandboxed, themed, interactive visualizations in Obsidian notes
- GitHub · Repository created · First archived
UniPat-AI/PaperBenchX ↗
A benchmark for scientific research agents, evaluating end-to-end paper reproduction across 12 research areas.
- GitHub · Repository created · First archived
1105216375-alt/resimind ↗
Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked rules, and reuse.
- Hacker News · Posted on Hacker News · First archived
Runtime – Your AI Agents Have a Home ↗
Hacker News discussion.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Artificial Intelligence
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.