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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 ↗6057 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
dhyun22/gpu-queue-status — dataset update ↗
# GPU 큐 현황 **수집 시각 · 2026-10-02 12:00:23 KST** · 수집 노드 `glogin01` · epoch `1790910023` > 이 페이지는 로그인 노드의 수집 루프가 갱신합니다. **위 시각이 오래됐다면 잡이 없는 게 아니라 > 수집이 끊긴 것입니다.** 컴퓨트 노드는 외부 네트워크가 없어 로그인 노드에서만 돌릴 수 있습니다. 실행 0개 (GPU 0장) · 대기 0개 | | 잡ID | 계정 | 이름 | 파티션 | GPU | 경과 | 남은시간 | 노드 | |---|---|---|---|---|---|---|---|---| | — | — | 활성 잡 없음 | | | | | | | **클러스터 유휴 GPU 2장** — `gpu39:2` ### 최근 종료 (24시간) 체인 학습 잡은 시간 한도 20분 전에 `timeout` 으로 스스로 멈추고 다음 라운드를 제출합니다. 종료 코드가 124 라 sacct 가 `FAILED` 로 적지만 **정상 동작**입니다. 진짜 실패는 경과 시간이 한도보다 훨씬 짧거나 `iter_` 체크포인트가 늘지 않은 경우입니다. | 잡ID | 계정 | 이름 | 상태 | 경과 | 노드 | |---|---|---|
- Hugging Face · Model / dataset date · First archived
haakona/Qwen-Unitopia-Style — model update ↗
# Qwen-Unitopia-Style LoRA fine-tunes of Qwen models on the **UNItopia LPC mudlib**, a German LPMud library (sources and documentation from ftp://unitopia.de). The goal is a model that writes LPC in the UNItopia house style: file headers, `inherit` lines, the room, item and monster APIs, and the German documentation format. The current release is built on **Qwen3.8-27B**. ## Files Everything is in `qwen3.8-27b/`: | File | Size | What | |---|---|---| | `qwen3.8-27b-unitopia-q8_0.gguf` | 29.0 GB | **The fine-tune.** Q8_0, near-lossless, includes the multi-token-prediction block | | `qwen3.8-27b-
- runtimewire.com · Source date · First archived
Claude Desktop code points to a possible self-hosted Cowork path ↗
Claude Desktop's public JavaScript bundles contain an unreleased configuration for sending agent-session requests to an organization-specified HTTPS host, alongside code paths that refer to Cowork. The code points to a possible customer-hosted execution option; it does not establish that Anthropic has enabled or launched one. Read the full story on RuntimeWire
- Hacker News · Posted on Hacker News · First archived
Greg Kroah-Hartman – Security in the LLM Age [video] ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Agent-harness – A minimal, composable Go library to build AI Agent Harnesses ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Better Call GPT – Plugin for Talking to Claude Code in Live ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Braxis: Auto-generate and track AI agent readiness (0-100 score and history) ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
At Work, AI Is Mandatory. After Work, It's Forbidden ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
ItsnotAilabs/Sovereign-Yield-Arbitrage-v1-alpha — model update ↗
# Sovereign Treasury Yield Arbitrage Transformer v1 (ALPHA WebAssembly Edition) > **Zero-Latency Client-Side Inference for Browser (React/Next.js) & Mobile (React Native/iOS/Android)** > Published by **ItsNotAI LABS** (Dallas, Texas) The **Sovereign-Yield-Arbitrage-v1-alpha** repository contains the lightweight **ONNX & WebAssembly (WASM)** client-side package for running inference directly inside web browsers and mobile apps with **0ms server latency** and zero cloud API infrastructure costs. --- ## ⚡ WebAssembly (WASM) SDK Features - **Direct In-Browser Inference**: Compiles PyTorch weights
- Hugging Face · Model / dataset date · First archived
sennaLLMLearner/qwen3-4b-system-one-lora — model update ↗
# qwen3-4b-system-one-lora **Tree-masked multi-question inference** is the defining feature of this System 1-inspired Qwen3-4B LoRA adapter: one shared record, multiple independently answered questions, one model forward pass. **Source code and verification:** [github.com/senna-lang/qwen3-4b-system-one](https://github.com/senna-lang/qwen3-4b-system-one) is the canonical home of the inference code, packaged for `pip install`, together with a public fictional fixture and scripts that check branch isolation and PyTorch/MLX agreement. The Python files in this repository are a standalone copy of th
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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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