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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.

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5434 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.

  1. Hacker News · Posted on Hacker News · First archived

    AI-Built Torrent Site Looks Inside Downloads to Catch Fakes and Malware ↗

    Hacker News discussion.

  2. GitHub · Repository created · First archived

    Chatway-app/chatway-mcp-server ↗

    Official Chatway Live Chat MCP server. Connect ChatGPT, Claude, and other AI agents to manage customer support conversations. Chatway offers an AI chatbot, website live chat, WhatsApp, Messenger, Instagram integrations, team inboxes, automation, and iOS & Android mobile apps.

  3. Hacker News · Posted on Hacker News · First archived

    RobynNews – an AI news show by AI learning from its YouTube comments ↗

    Hacker News discussion.

  4. GitHub · Repository created · First archived

    imaaiagent/fumi ↗

    Open-source AI companion that lives on your desk. Built with ESP32-S3, touch, voice, and any AI model.

  5. Hugging Face · Model / dataset date · First archived

    sthanika-ai/Sieve-9B-v2 — model update ↗

    # Sieve-9B-v2 Sieve-9B-v2 is a decision model from the [Sieve family](https://huggingface.co/collections/sthanika-ai/sieve-6abb93a61dd495f69811c586). You give it a piece of text or JSON (the *state*) and typed questions, and it returns a calibrated probability for every option of every question. It reads the state once, scores the options directly, and **never generates text**. It is a LoRA adapter (rank 32) and a pointer head on [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) (revision `c2022362`), and it stores one calibration temperature per question category. The code is at [gith

  6. Hugging Face · Model / dataset date · First archived

    dontKnow23456/QLM-Bench — dataset update ↗

    # QLM-Bench QLM-Bench provides quadrupedal loco-manipulation task environments, scripted data creation and a physical interface for external high-level policies. The current system uses a fixed Unitree Go2, the front-left manipulation leg, the original RAMBO whole-body controller and native9 commands with zero desired force. The three current tasks are **Push Box**, **Lift Basket** and **Press Button**. This dataset repository currently contains **70 frozen usable scripted demonstrations** in three independent releases, their Raw/Canonical data, provenance and replay. [The catalogue](catalog.j

  7. Hugging Face · Model / dataset date · First archived

    HelloSun/Z-Image-Turbo-OpenVINO-INT4 — model update ↗

    # Z-Image-Turbo — OpenVINO INT4 將 [`Tongyi-MAI/Z-Image-Turbo`](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo)(6B S3-DiT,Turbo 蒸餾)轉換為 **OpenVINO INT4** 權重, 並以 **純 CPU** 實測 1024×1024 出圖。 `optimum-intel` 匯出 → NNCF weight-only INT4 量化 → **FP16 20.32 GB → INT4 5.52 GB(↓ ~73%)**。 > **步數說明**:設定 `num_inference_steps=9`,scheduler 實際執行 **9 個 step**。 > 來源模型標示的「8 NFE」是指 DiT forward 次數的官方說法,與本 repo 量測到的 9 個 scheduler step 並不完全對應,實測數據以 `examples/benchmark.json` 為準。 --- ## 目錄 - [快速資訊](#快速資訊) - [特色](#特色) - [安裝](#安裝) - [快速開始](#快速開始) - [推論參數建議](#推論參數建議) - [範例結果](#範例結果) - [風格展示](#風格展示) - [效能實測摘要](#效能實測摘要) - [檔

  8. GitHub · Repository created · First archived

    tetriz-ai/agent-desk ↗

    A local macOS menu bar app that shows your AI coding sessions per tool and project, and the skills, rules, agents and hooks your coding agents load.

  9. Hacker News · Posted on Hacker News · First archived

    AI agents broke into 27 online retailers for $25 a company ↗

    Hacker News discussion.

  10. Hugging Face · Model / dataset date · First archived

    superlinked/sie-task-evidence — dataset update ↗

    # SIE task evidence The recorded inputs and model responses behind the task pages on [superlinked.com](https://superlinked.com), one folder per task. Every figure published on a task page was produced by a real recorded run against `https://api.superlinked.com`, or, for some tasks (typed-decisions among them), against a self-hosted SIE server at a pinned commit on the GPU that task's `manifest.json` records. This dataset holds those recordings so that anyone can re-derive the published numbers **without an API key and without spending any inference**. ## Recent evaluation archives The dataset

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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