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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 ↗5433 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
zhouyik/Qwen2.5-VL-3B-SAMTok-gres-rl — model update ↗
# Qwen2.5-VL-3B-SAMTok-gres-rl Task-specialized checkpoint post-trained with GRPO on GRES using a textual mask answer-matching reward and a thinking-answer format. This repository belongs to **SAMTok: Representing Any Mask with Two Words** (CVPR 2026), a unified mask-token interface for multimodal language models. [Paper](https://arxiv.org/abs/2601.16093) · [Code](https://github.com/bytedance/Sa2VA/tree/main/projects/samtok) · [Collection](https://huggingface.co/collections/zhouyik/samtok) · [Project page](https://zhouyiks.github.io/projects/SAMTok/) ## Model overview | Property | Value | | --
- Hugging Face · Model / dataset date · First archived
mradermacher/Qwen3.5-27B-Uncensored-Aggressive-GGUF — model update ↗
## About static quants of https://huggingface.co/rodrigomt/Qwen3.5-27B-Uncensored-Aggressive ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3.5-27B-Uncensored-Aggressive-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3.5-27B-Uncensored-Aggressive-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quant
- Hacker News · Posted on Hacker News · First archived
Can we change an AI model's architecture without retraining it from scratch? ↗
Hacker News discussion.
- GitHub · Repository created · First archived
vakandi/opencode-rust ↗
The open source AI coding agent, in Rust. CLI, TUI and HTTP server for local AI agents — no Docker required.
- Hacker News · Posted on Hacker News · First archived
I used an AI QA agent to test Hacker News ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
In 5 years, 95% of tokens used by AI agents will be for tasks humans never did ↗
Hacker News discussion.
- GitHub · Repository created · First archived
Arekejoker/qwen21-nsfw-pose-skill ↗
Qwen-Image 2.1 NSFW/姿势出图 skill：作者级提示词配方 + NSFW LoRA + 136 姿势 VNCCS 人偶控制；适用 Claude Code / Codex / Cursor / OpenClaw
- Hugging Face · Model / dataset date · First archived
DenyTranDFW/Exeter_Select_Automobile_Receivables_Trust_2025_2_2073963 — dataset update ↗
# Exeter Select Automobile Receivables Trust 2025-2 SEC ABS-EE asset-level filings for CIK **2073963** (Exeter Select Automobile Receivables Trust 2025-2). - **Filings**: 11 - **Parquet files**: 1 - **Total size**: 1.0 MB - **Reporting period start**: 2025-06-30 - **Reporting period end**: 2026-02-28 Parquet files are loan-level / asset-level data extracted from XML exhibits, organised as `{accession_nodash}/{exhibit_name}.parquet`. Reporting-period dates are derived from the asset-level XML (`reportingPeriodEndingDate`). ## Filing index | cik | form | accessionNumber | reportDate | url | | --
- Hugging Face · Model / dataset date · First archived
YNSScarSaiyan/nys-sft-public — model update ↗
# NYS — Sparse Kuramoto EqProp (public lineage) **NYS** is not a transformer. It is a coupled-oscillator organism: phases \(\theta_i\), amplitudes, natural frequencies \(\omega_i\), and a sparse coupling graph \(K\). Language, compiler bits, and speech-frame IDs live on **one** graph (\(N = 5{,}000{,}000\) nodes, \(k = 512\) edges per node). The native graph trains by **Equilibrium Propagation** (free RK4, then same-moment free/nudged branches, then a contrastive \(K\) update), without backprop or a cross-entropy objective. A separate sparse context head now provides retrieved language inputs.
- Hugging Face · Model / dataset date · First archived
thinletter/ThinCtx-Qwen3.5-0.8B — model update ↗
# ThinCtx-Qwen3.5-0.8B ThinCtx by thinletter. `ThinCtx-Qwen3.5-0.8B` is the ThinCtx conversion of [Qwen3.5-0.8B](https://huggingface.co/Qwen/Qwen3.5-0.8B) that keeps the GPU memory for the context small: it grows 20 to 30 times more slowly than the base model's cache (**0.43 GB** instead of **6.0 GB** at half a million tokens). The part of the context kept on the GPU is small and grows slowly with the length of the conversation or document; the full context is kept in ordinary system memory. ThinCtx trades some speed for this (see Speed below). Chat and tool calling use the Qwen3.5 chat templa
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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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