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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 ↗5934 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
allebee/jevk5 ↗
JevK5: open-weight alternative to TypeSafe Jev. Typed decisions with probabilities in one forward pass; Apache-2.0 weights and code.
- GitHub · Repository created · First archived
zekiriabd/SDD-Agents ↗
Spec-Driven Development for Agentic App
- GitHub · Repository created · First archived
mirzayasirabdullahbaig07/Snake-Game-Reinforcement-Project ↗
A self-taught Snake agent built with Deep Q-Learning, PyTorch, and Pygame. No hand-coded strategy — the snake starts out clueless and learns entirely through trial and error, reward by reward, game by game.
- Hacker News · Posted on Hacker News · First archived
OpenAI GPT–6 Astra breaks Enigma message that has resisted solution since 2005 ↗
Hacker News discussion.
- GitHub · Repository created · First archived
ankit-aglawe/tinyjev ↗
A tiny jev-like model that answers Choice, Score and Noul questions in one forward pass and returns calibrated probabilities. MLX or PyTorch, fully offline, System One compatible.
- GitHub · Repository created · First archived
UpstandPlatform/OpenRive ↗
Build inetractive UIs, motion, and game experiences in the OpenRive Editor, or let an AI agent generate them through the CLI, Your creations run natively across mobile, desktop, web, consoles, TVs, and vehicles
- GitHub · Repository created · First archived
heranliu/AlphaResearchOS ↗
Agentic quant research workbench with CSV imports, local Codex, predictive models, independent reviews, optional Jev checks, and reproducible strategy benchmarks.
- arXiv · Published · First archived
Target alignment, dilution and forecast selection when cross-sectional forecasts share a common target ↗
Forecasters often score the same units per date against one standardized realized outcome. We show that every standardized forecast splits exactly into a component aligned with this common target and a component uncorrelated with it. Three consequences follow: forecast-error correlation largely mirrors forecast correlation and is therefore a poor measure of diversity; an equally weighted combination beats a no-information forecast only when average alignment is large relative to the combination's dispersion; and the gain from adding a forecaster separates into genuine improvement and mere dilu…
- GitHub · Repository created · First archived
Josusanz/compositor-mcp ↗
MCP server for Compositor, the open-source Photoshop alternative for Mac: let Claude read and edit .comp projects
- GitHub · Repository created · First archived
alexgreensh/anidoodle ↗
Art and animation, written as code. Illustrations, loops, interactive web art, launch-videos and scored films in dozens of styles, identical on every render.
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.