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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 ↗5995 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
alphaparkinc/genpark-layer-norm-rms-norm-regularization-skill ↗
LayerNorm and Root Mean Square Normalization (RMSNorm) with affine transformation parameters
- GitHub · Repository created · First archived
Alpha-Park/genpark-multi-head-scaled-dot-product-attention-skill ↗
Transformer multi-head self-attention engine with causal triangular masking and softmax normalization
- GitHub · Repository created · First archived
alphaparkinc/genpark-multi-head-scaled-dot-product-attention-skill ↗
Transformer multi-head self-attention engine with causal triangular masking and softmax normalization
- GitHub · Repository created · First archived
Alpha-Park/genpark-dense-feedforward-mlp-backprop-skill ↗
Multi-layer perceptron (MLP) feedforward inference with Xavier/Glorot initialization and activations
- GitHub · Repository created · First archived
alphaparkinc/genpark-dense-feedforward-mlp-backprop-skill ↗
Multi-layer perceptron (MLP) feedforward inference with Xavier/Glorot initialization and activations
- GitHub · Repository created · First archived
Alpha-Park/genpark-scalar-autograd-computational-graph-skill ↗
Reverse-mode automatic differentiation engine with DAG tape and chain rule backpropagation
- GitHub · Repository created · First archived
alphaparkinc/genpark-scalar-autograd-computational-graph-skill ↗
Reverse-mode automatic differentiation engine with DAG tape and chain rule backpropagation
- Hacker News · Posted on Hacker News · First archived
Show HN: WorkContext – Open-Source AI Context Layer for Dev Teams ↗
Hacker News discussion.
- GitHub · Repository created · First archived
doronp/gitmemory ↗
Git-versioned, contiguity-checked memory for AI agents: verbatim transcripts, byte-offset recall, no LLM
- GitHub · Repository created · First archived
read2017/jianghushuo-oral-skill ↗
姜胡说 · 口播 skill：从 433 条口播逐字稿与《价值心法》蒸馏，能问答、能写口播稿、能找选题
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.