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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 ↗5196 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
Anticloud/anticloud-pangeo-prior-docs — dataset update ↗
# PANGEO_PRIOR_DOCS **Category:** ACADEMIA_RD **Status:** Active development with Anticloud overlay ## What This Project Does PANGEO_PRIOR_DOCS is an open-source project in the ACADEMIA_RD category. This project provides tools, libraries, and functionality for developers and end users working in the ACADEMIA_RD domain. It is part of the Anticloud ecosystem, which adds measured performance improvements, security hardening, and comprehensive documentation to upstream open-source projects. The project addresses key challenges in ACADEMIA_RD by providing: - A well-tested, community-driven codebase
- Hugging Face · Model / dataset date · First archived
hrdq/Dota2PornFx — dataset update ↗
# Dota2PornFx Dataset This dataset contains a collection of mods designed for the website **[Dota2PornFxWeb](https://h6rd.github.io/Dota2PornFxWeb/)**. * **Website Repository:** [h6rd/Dota2PornFxWeb](https://github.com/h6rd/Dota2PornFxWeb) --- ## 📜 License & Usage Terms This dataset is distributed under the **GNU General Public License v3.0 (GPL-3.0)**. While the dataset is open-source under GPLv3, you **must adhere to the following attribution guidelines** when using, modifying, or redistributing these files: ### Attribution Requirements 1. **Credit the Creator:** You must credit the creator
- Hugging Face · Model / dataset date · First archived
kindlingai/glm-5.3-flash-exlr8-k2-k3-k4 — model update ↗
# GLM-5.3-Flash EXLR8 expert weights (K2/K3/K4) This repository contains the converted EXLR8 expert weights for GLM-5.3-Flash MoE layers 3–45, including MTP layer 45. It also retains the raw per-job encode outputs used to create them. ## Expert files For each MoE layer `LLL`, the converted weights are stored as: - `experts/exlr8-layer-LLL.index.safetensors` — offsets, side data, checksums, and expert metadata - `experts/exlr8-layer-LLL.k2.safetensors` - `experts/exlr8-layer-LLL.k3.safetensors` - `experts/exlr8-layer-LLL.k4.safetensors` - `hashes/` — SHA-256 sidecars for each generated file Cov
- Hacker News · Posted on Hacker News · First archived
OpenAI accuses employee who left for Apple of leaking plans for unreleased devic ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
Tails225/Luma-4B-E6 — model update ↗
# Luma 4B > **TL;DR:** Luma is a conversational Qwen3-4B-Instruct-2507 fine-tune designed for casual conversation and collaborative exploration of ideas. **Epoch 6** is the recommended release model, and **vLLM with the merged safetensors model** is the recommended inference configuration. ## Quick Start ### Reference vLLM configuration Luma Epoch 6 currently uses approximately **11.1 GiB of VRAM** with the reference configuration on an RTX 3060 12 GB. Observed usage has varied somewhat between vLLM versions/configurations, with approximately **10.7–11.1 GiB** seen during testing. These figure
- Hacker News · Posted on Hacker News · First archived
Eight states accuse OpenAI of coaching children to harm themselves in lawsuit ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Veda – An AI-Native Operating System Built from the Ground Up ↗
Hacker News discussion.
- arXiv · Published · First archived
Forecast lead time and the timing of crew deployment for weather-driven power outages using AI weather models ↗
Utilities request mutual aid crews to restore power after severe storms, and requesting early secures more crews but relies on less accurate forecasts. We examined how forecast lead time affects the value of outage predictions for crew deployment, using operational forecasts from two AI weather models, GraphCast and FourCastNet, to predict outage occurrence for counties across the contiguous United States 24 to 120 hours ahead. Forecasts were evaluated by the share of outage burden captured by the counties where crews would be staged. Captured burden declined with lead time: the loss between t…
- Hacker News · Posted on Hacker News · First archived
Anthropic's Scion is heavily inspired by Mononoke ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
OpenAI Cuts Codex Desktop Storage Use by 60 Percent ↗
Hacker News discussion.
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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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.