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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 ↗5198 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
mochiz-e/mochiz — model update ↗
# Connect-C1-0.8B-v0.1 (Q8_0 GGUF) — mochiz-e 미러 이 저장소는 [WonseokJayJung/Connect-C1-0.8B-v0.1-GGUF](https://huggingface.co/WonseokJayJung/Connect-C1-0.8B-v0.1-GGUF)의 미러입니다. 원저작자: Jay(정원석) · Connect AI LAB. 라이선스: Apache-2.0 (`LICENSE`, `NOTICE` 포함). ## 변경 사항 - `c1_local.py`: 기본 모델 주소(`HF_MODEL`)를 `hf.co/mochiz-e/mochiz:Q8_0`으로 변경. 그 외 원본과 동일. - 모델 파일 이름을 `MZ-C1-0.8B-v1.0-Q8_0.gguf` 로 변경했습니다. 가중치는 원본 `Connect-C1-0.8B-v0.1-Q8_0.gguf` 와 **바이트 단위로 동일**하며(이름만 변경, 재학습·수정 없음), `v1.0`은 이 저장소의 배포 버전 표기입니다. ## 다운로드 & 설치 가이드 공개 저장소라 로그인 없이 누구나 받을 수 있습니다. 준비물: [Ollama](https://ollama.com/download)(실행 상태 유지)
- Hugging Face · Model / dataset date · First archived
AnthropicallyHuggingFaces/bos-os-source-of-truth — dataset update ↗
# BOS-OS — Source of Truth Single source of truth for the BOS-OS Building Operating System: mesh-connected, local-first, multi-property management (IoT, Leasing, Credit, HR, Edge AI). This repo is the **data/config/build foundation**. Application code lives in the monorepo described by `docs/MASTER-SPEC.md` and consumed by OpenCode via `AGENTS.md`. ## Layout ``` README.md Agent -> Model envelope (L4) bos-os.schema.json <- root instance config validation (L5) config/ bos-os-config.example.json <- example instance config migrations/0001_initial.js <- JSON migration w/ up() + down() runner/migrat
- Hugging Face · Model / dataset date · First archived
smdesai/Nemotron-3-Diarization-CoreML — model update ↗
# Nemotron 3 Diarization — Core ML Core ML conversion of NVIDIA's [Nemotron 3 Diarization](https://huggingface.co/nvidia/Nemotron-3-Diarization) streaming speaker-diarization model (up to eight speakers, 10 ms output frames) for iOS 18+ / macOS 15+. Converted from checkpoint revision `a435e9867d79e789e90053f9b6d6834053af564a` (`Nemotron-3-Diarization.nemo`, SHA-256 `867c53f552998f772e5b5e5c082962ae85ee7ca5669c2bc17d7f615133d4e96d`). No weights were retrained, quantized or pruned. The model is split into two graphs that a host streaming loop calls once per chunk: a **preencoder** (Mel features
- Hugging Face · Model / dataset date · First archived
od2961/wikispeedia-checkpoints-2026-10 — model update ↗
# Wikispeedia SFT and RL checkpoint archive This public research archive preserves all inventoried SFT checkpoints and model checkpoints from completed or stopped Wikispeedia RL experiments as of October 13, 2026. Currently running RL branches are excluded from this snapshot. Uploads are in progress: **catalog.json lists the main inventory; legacy-catalog.json lists the additional stopped run exports. Both catalogs mark verified availability.** A planned entry is usable only when `available` is true. Each checkpoint is an independent Transformers model directory or PEFT adapter directory benea
- Hacker News · Posted on Hacker News · First archived
Citi restricts AI agents from accessing customer accounts ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
Anil-yilmaz/Darica-Belediye-3B — model update ↗
# 🏛️ Darıca-Belediye-3B - Akıllı Belediye Vatandaş Asistanı **Geliştirici:** Anıl Yılmaz **Kurum / Kimlik:** Darıca Belediyesi Vatandaş Hizmetleri Asistanı (Darıca-Asistan) **Taban Model:** `Qwen/Qwen2.5-3B-Instruct` **Paket Dosyaları:** `egitim.jsonl`, `test.jsonl`, `tesisler.csv`, `rehber.pdf`, `test_sorulari.csv`, `araclar.py`, `proje.py` **Özel Araç (Tool):** `vatandas_indirim_sorgula` (Vatandaşın yaş ve durumuna göre tesis indirim oranı hesaplar) --- ## 📊 1. Önce / Sonra Ölçüm Tablosu | Değerlendirme Kriteri | Eğitim Öncesi (Ham Model) | Eğitim Sonrası (QLoRA Fine-Tuned) | | :--- | :---
- Hacker News · Posted on Hacker News · First archived
AI-Generated Starling Desktop Environment Rolls Out Its Own Office Suite ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
190k Star Systems and a Million Planets: Building GalaxyAtlas with AI Agents ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Meta may use new commercial TOS to avoid millions in AI licensing fees ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Aegis – Network Firewall for AI Security ↗
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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