THE INTERNET IS THINKING
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 ↗5525 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: Rename Super Intelligence Back to Artificial Intelligence ↗
Automatically renames all occurrences of "Super Intelligence " to "Artificial Intelligence". 100% vibe-coded in two prompts.
- Hugging Face · Model / dataset date · First archived
francesca9805/swa-latn-100mb-after-ppt-Dp-100mb-packed-bfdiso-ckpt500_seed3407 — model update ↗
# Model Card for swa-latn-100mb-after-ppt-Dp-100mb-packed-bfdiso-ckpt500_seed3407 This model is a fine-tuned version of [francesca9805/swa-latn-100mb-ppt-Dp-100mb-packed-bfdiso_seed3407](https://huggingface.co/francesca9805/swa-latn-100mb-ppt-Dp-100mb-packed-bfdiso_seed3407). 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-generation", model="francesca
- GitHub · Repository created · First archived
tommy85/MirrorForce ↗
Yu-Gi-Oh! (YGO) AI trained by self-play reinforcement learning on the YGOPro engine; champion of the first YGO agent competition
- GitHub · Repository created · First archived
JoseValencia125/agents-pixel-dungeon ↗
A native pixel-art dungeon for your live Herdr coding agents, for macOS and Linux (Rust, egui).
- Hacker News · Posted on Hacker News · First archived
Trump: Anyone saying "AI" is "THE ENEMY"; The White House uses it ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Run Claude Frontend with Non-Anthropic Models ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Bending the Curve of Discovery: AI in Science Today and Tomorrow ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Why AI hasn't fixed software delivery yet, and what will ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
francesca9805/nor-100mb-after-wc-uniform-newlex-before-ckpt500-packed-bfdiso_seed3407 — model update ↗
# Model Card for nor-100mb-after-wc-uniform-newlex-before-ckpt500-packed-bfdiso_seed3407 This model is a fine-tuned version of [francesca9805/ppt-wc-uniform-newlex-nor-before-100mb-packed-bfdiso_seed3407](https://huggingface.co/francesca9805/ppt-wc-uniform-newlex-nor-before-100mb-packed-bfdiso_seed3407). 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-
- Hacker News · Posted on Hacker News · First archived
Show HN: Nace.ai Document Intelligence 1.0 ↗
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.