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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 ↗5506 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.
- Hacker News · Posted on Hacker News · First archived
Show HN: Rutter – shared decision memory across AI tools ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Iimos – an AI app that ships as one chat box and rewrites itself ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
dtunkelang/jobs-demo — dataset update ↗
# Bag-of-Documents — Unified Jobs Artifacts Companion artifacts for the [unified jobs search Space](https://huggingface.co/spaces/dtunkelang/bag-of-documents-jobs). Contains: titles + slim metadata + full metadata (JSONL) + bge-small + te3-large @ 1024 catalog vectors + pre-encoded te3 query cache (~196k popular queries) for 347,900 job postings across 4 corpora (Open-Apply, LinkedIn, JobStreet, USAJobs). Source: [github.com/dtunkelang/bag-of-documents](https://github.com/dtunkelang/bag-of-documents)
- Hugging Face · Model / dataset date · First archived
owendudu/VLA-ACL — model update ↗
# VLA-ACL: patch scorers for visual token pruning in OpenVLA-OFT VLA-ACL (Action Consistency Learning) learns which vision tokens a Vision-Language-Action model needs. A lightweight patch scorer is trained on top of a **frozen**, fine-tuned [OpenVLA-OFT](https://github.com/moojink/openvla-oft) policy so that the actions predicted from the top-K vision patches per camera view stay consistent with the full-context (teacher) actions and with the ground-truth demonstration actions. At inference time only the top-K patches of each view are passed to the LLM backbone. This repository contains **8 sc
- Hugging Face · Model / dataset date · First archived
mobilint/whisper-small — model update ↗
# About This repository provides a model compiled and optimized for Mobilint NPU hardware. The model is packaged for deployment on Mobilint’s acceleration stack and is intended to be used within that environment.
- Hugging Face · Model / dataset date · First archived
mobilint/whisper-medium — model update ↗
# About This repository provides a model compiled and optimized for Mobilint NPU hardware. The model is packaged for deployment on Mobilint’s acceleration stack and is intended to be used within that environment.
- Hugging Face · Model / dataset date · First archived
mobilint/whisper-large-v3-turbo — model update ↗
# About This repository provides a model compiled and optimized for Mobilint NPU hardware. The model is packaged for deployment on Mobilint’s acceleration stack and is intended to be used within that environment.
- Hacker News · Posted on Hacker News · First archived
If AI is conscient, then we are making slaves ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Zombie AI Video Generator – a zombie love story from two photos ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
Phosdium/multirc-dataset-and-checkpoints — model release ↗
# MultiRC data and checkpoints - `MultiRC/`: unchanged copies of the MultiRC files (Khashabi et al., NAACL 2018) - `runs/`: one folder per training run - `baselines/`: baseline checkpoints, logs and generations
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.