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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 ↗5552 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.
- Hugging Face · Model / dataset date · First archived
JANGQ-AI/Naive-N0.5-Flash-JANGHT2.5 — model update ↗
Run JANG models in MLX Studio / vMLX > ⚠️ **Runtime: JANGHT needs a vMLX (Python) build that is not released yet.** The bundle was built and validated > on a vMLX development build that adds the JANGT trellis experts (decode and prefill kernels) for this family. > vMLX 1.6.77 and older refuse to load it (they stop with an error; they never produce wrong output). Use it with the first vMLX release that lists JANGHT support. > The previous JANGH2 weights are in this repo's history at commit > [`54fab36`](https://huggingface.co/JANGQ-AI/Naive-N0.5-Flash-JANGHT2.5/tree/54fab3629aed6b8a2e5e481c3a88
- Hugging Face · Model / dataset date · First archived
JANGQ-AI/GLM-5.3-Flash-JANGHT2.4 — model update ↗
Run JANG models in MLX Studio / vMLX > ⚠️ **Runtime: JANGHT needs a vMLX (Python) build that is not released yet.** The bundle was built and validated > on a vMLX development build that adds the JANGT trellis experts (decode and prefill kernels) and the bundled DFlash2 > drafter. vMLX 1.6.77 and older refuse to load it (they stop with an error; they never produce wrong output). Use it with the first vMLX release that lists JANGHT support. > Need the previous JANGH2 weights, which released vMLX builds run? They are in this repo's history at commit > [`4017296`](https://huggingface.co/JANGQ-AI/G
- Hugging Face · Model / dataset date · First archived
mradermacher/HERO-9B-GGUF — model release ↗
static quants of https://huggingface.co/XLearning-SCU/HERO-9B
- GitHub · Repository created · First archived
Alpha-Park/genpark-agent-swarm-task-decomposer-and-consensus-aggregator-skill ↗
Decomposes complex goals into parallel worker subtasks and aggregates consensus outputs
- GitHub · Repository created · First archived
alphaparkinc/genpark-agent-swarm-task-decomposer-and-consensus-aggregator-skill ↗
Decomposes complex goals into parallel worker subtasks and aggregates consensus outputs
- Hacker News · Posted on Hacker News · First archived
GMKtec EVO-X3 Mini-PC Review Looking at a 128GB AMD Local AI Box ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Ask HN: Resources for best practices in software development with AI? ↗
What resources (authors, podcasts, books, etc) do you follow to keep up with best practices, patterns, methodologies, for software development with AI? There is so much noise that I want to know a few trusted resources (especially authors) to follow to keep up with latest best practices (an example of an author in what I have in mind would be Simon Willison).
- GitHub · Repository created · First archived
MyMemoAI/openmymemo ↗
Your AI memory as a local folder you own. Claude, Codex, Cursor and any MCP app share it; you see every change and can undo it.
- Hacker News · Posted on Hacker News · First archived
Genkit Dart 1.0: Build production-ready agentic apps with Dart and Flutter ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Why your AI agents can't reach the tools you're signed in to, and how to fix it ↗
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.