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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 ↗5813 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
xixingyingmie/dsh-gpt-niang-widget ↗
Open-source repository in JavaScript.
- Hacker News · Posted on Hacker News · First archived
Parents in Finland turn to AI for free school pictures ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: LLM Fuzz CI ↗
Hi HN! Most of the explanation is in the blog post, and the code lives there: https://github.com/tiime-software/llm-fuzz-ci/ Happy to receive feedback, and to know how other people use agents to improve code security!
- Hacker News · Posted on Hacker News · First archived
Show HN: I indexed 166,000 AI agent setups on GitHub ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
SexGod1979/PinkCherry-NSFW_MiniMax-H3 — model update ↗
This is the PinkCherry NSFW Minimax H3 fine tune. viewer discretion is advised. Use euler/simple comfyUI standard template workflow for fl2va for v1.5 Lightx2v turbo I used thats compatible with v1.5 model: https://huggingface.co/lightx2v/Minimax-h3-Turbo/blob/main/minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
- Hugging Face · Model / dataset date · First archived
francesca9805/swa-100mb-after-wc-uniform-newlex-after-ckpt500-packed-bfdiso_seed455 — model update ↗
# Model Card for swa-100mb-after-wc-uniform-newlex-after-ckpt500-packed-bfdiso_seed455 This model is a fine-tuned version of [francesca9805/ppt-wc-uniform-newlex-swa-after-100mb-packed-bfdiso_seed455](https://huggingface.co/francesca9805/ppt-wc-uniform-newlex-swa-after-100mb-packed-bfdiso_seed455). It has been trained using [TRL](https://github.com/huggingface/trl). ## Quick start ```python from transformers import pipeline question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" generator = pipeline("text-genera
- Hugging Face · Model / dataset date · First archived
yangjiange/STP — model release ↗
# STP: Spatiotemporal Predictive Pre-training for Robotic Motor Control Pre-trained visual encoder for robotic manipulation, from the paper published in *International Journal of Computer Vision* (2026): [10.1007/s11263-026-02948-3](https://link.springer.com/article/10.1007/s11263-026-02948-3) Official code: [MCG-NJU/STP](https://github.com/MCG-NJU/STP) STP pre-trains a plain image ViT on large-scale egocentric video (Ego4D / EgoClip), with no language, action, depth or teacher supervision. It jointly learns content and motion features by reconstructing the masked current frame and the masked
- GitHub · Repository created · First archived
iamumeransari/claude-show-your-work ↗
Claude Code plugin to see, review and iterate on your agent's work without leaving the terminal: show images, play videos, and run visual QA with Playwright recordings and before/after comparisons inside the Claude Code terminal. Works in any terminal that supports the kitty graphics protocol, fully cross-platform on macOS, Linux and Windows.
- Hacker News · Posted on Hacker News · First archived
Show HN: Singularity – memory that makes coding agents cheaper on repeat work ↗
Coding agents start every session from zero. Ask Claude Code for a change like one it made last week and it reads the same files again, falls into the same test traps again, and you pay for all of it again. Singularity learns from your finished sessions (change committed, tests passing): where each kind of change goes in this repo, how it gets checked, and the mistakes made along the way. When the next task starts, a hook hands the agent the work…
- Hacker News · Posted on Hacker News · First archived
Show HN: Let your AI agents paint big arrows, boxes and text on your screen ↗
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.
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