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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 ↗5551 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
ludolua/nextaction-flights — model release ↗
# NextAction: flights A small, auditable classifier that predicts **the next step of an agent that helps find flight tickets**. Given the current state, it returns one action from a fixed vocabulary with a probability for each, so an agent can act alone when it is confident and hand the decision to a person when it is not. It ships with a decision policy (`config.toml`) that blocks impossible actions and sets a minimum confidence per action. ## Model details | | | | --- | --- | | Developed by | [Luiz Araujo](https://github.com/leduardoaraujo) | | Model type | TF-IDF features + multinomial logi
- Hugging Face · Model / dataset date · First archived
HA-Siala/Java-UML-full-v0.2 — model update ↗
# Model Card for Model ID ## Model Details For more details, experiments, and code, please refer to our GitHub repository: [https://github.com/Hanan-Abdulwahab-Siala/ThesisArtefacts](https://github.com/Hanan-Abdulwahab-Siala/ThesisArtefacts) ### Model Description This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **L
- Hugging Face · Model / dataset date · First archived
HA-Siala/Java-OCL-full-v0.2 — model update ↗
# Model Card for Model ID ## Model Details For more details, experiments, and code, please refer to our GitHub repository: [https://github.com/Hanan-Abdulwahab-Siala/ThesisArtefacts](https://github.com/Hanan-Abdulwahab-Siala/ThesisArtefacts) ### Model Description This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **L
- Hugging Face · Model / dataset date · First archived
chrissoria/federal-bills-active — dataset update ↗
# Federal Bills & Votes Datasets Two linked datasets tracking U.S. federal legislation in the 119th Congress (2025–2026): - **[chrissoria/federal-bills-active](https://huggingface.co/datasets/chrissoria/federal-bills-active)** — active 119th Congress bills with full text, status, sponsors, and bill-level vote breakdowns - **[chrissoria/federal-votes](https://huggingface.co/datasets/chrissoria/federal-votes)** — 56,569 individual legislator votes (alter-level) Both datasets update daily at 9:15 AM via automated pipeline. --- ## federal-bills-active — Codebook ### Date Columns | Column | Type |
- Hugging Face · Model / dataset date · First archived
HA-Siala/Java-UML-v0.2 — model update ↗
# Model Card for Model ID ## Model Details For more details, experiments, and code, please refer to our GitHub repository: [https://github.com/Hanan-Abdulwahab-Siala/ThesisArtefacts](https://github.com/Hanan-Abdulwahab-Siala/ThesisArtefacts) ### Model Description - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More I
- Hugging Face · Model / dataset date · First archived
Gugu8/L-CED-15B — model update ↗
# L-CED 15B — Looped Causal Encoder-Decoder MoE for Agentic Coding Novel smartness-first architecture combining: - DeepSeek V4.1-Flash CED + CSA2 + Engram + Single-Pass mHC + DSpark - Looped decoder (recurrent depth) + Mixture-of-Recursions routing - 15B total, ~2-3.5B active, 1M context staged See ARCHITECTURE.md for full spec. Target: frontier reasoning per active param on SWE-bench / Terminal-Bench / DeepSWE. # IF YOU ARE USING THIS MODEL PRETTY PLEASE FOLLOW AND LIKE THIS REPO, NEW MODEL COMING SOON.
- Hugging Face · Model / dataset date · First archived
vllm-sr/d3 — model update ↗
 # d3 **d3** is the 27B multimodal foundation decision model of Decision 3.0, the decision models of [vLLM Semantic Router](https://github.com/vllm-project/semantic-router). Give it an input (text or JSON, optionally with images and videos) and the questions you need answered: pick one of several options, say yes or no, or rate on a scale. It answers them all in one call and returns a probability for every answer, without generating text. | | | | --- | --- | | **Parameters** | 26.09B, including the 0.46B vision encoder | | **Inputs** | Text or JSON, plus i
- GitHub · Repository created · First archived
lonkarabhishek/ai-rj ↗
Your own AI radio jockey for Spotify & YouTube. An RJ talks between your songs in Hindi, English, Hinglish or Marathi. Self-hosted, open source.
- Hugging Face · Model / dataset date · First archived
mattewg/pi05-xarm7-shaver-v2 — model update ↗
# pi0.5 xArm7 bimanual shaver box (shaver v2) pi0.5 fine-tuned from `pi05_base` on [`panasonicai/shaver_v2_human`](https://huggingface.co/datasets/panasonicai/shaver_v2_human) (116 human teleop episodes, 60 fps, 4 cameras, analog grippers). 30k steps, batch 32. An A/B test of cropping the side cameras; everything else is identical. ## What is here | folder | config | crop | trained on | |---|---|---|---| | `v2_crop_still/ /` | `pi05_xarm7_real_shaver_v2` | yes | Lambda 8x H100 (finished, 29999) | | `v2_crop_leonardo/ /` | `pi05_xarm7_real_shaver_v2` | yes | Leonardo 4x A100 | | `v2_nocrop_leon
- Hacker News · Posted on Hacker News · First archived
Europe confident its rules can thwart rogue AI ↗
Hacker News discussion.
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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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