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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 ↗6056 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.
- GitHub · Repository created · First archived
Btluo1/ccb ↗
CCB · AI 编程助手一键配置 —— 把 Trae / Qoder / CodeBuddy / WorkBuddy / Cursor / ZCode 等客户端一键接入 CCB：全部模型自动写入、自动设为默认、自动启动（仅桌面客户端开源）
- Hacker News · Posted on Hacker News · First archived
Superhuman AI for Stratego ↗
Hacker News discussion.
- GitHub · Repository created · First archived
zycck/claude-mods ↗
Claude Code mods: live plan progress bars above the prompt
- Hacker News · Posted on Hacker News · First archived
Show HN: Soothsay - Your AI types curl | sh. soothsay checks the script first ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Zero Slop – Open-source skill that finds and fixes AI slop in writing ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
mulligan/real-square-d2-c02-dagger-baseline — dataset update ↗
# real-square-d2-c02-dagger-baseline Part of [Mulligan](https://mulligan.page). Browse the release at [Policy Arena](https://arena.mulligan.page). | Property | Value | |---|---| | Task | real-square-d2 | | Role | training-view | | Release grouping | mainline | | Variant | baseline | | Model rounds | R2 | | Episodes | 50 | | Frames | 10900 | | Recording FPS | 15 | | Cameras | observation.images.wrist_left, observation.images.wrist_right, observation.images.side_1, observation.images.side_2 | | Release tag | `release-1` | | Parent | mulligan/real-square-d2-c02-dagger-mixed | ## Provenance Trajec
- OpenAlex · Published · First archived
Students’ Generative AI Use in Studio-Based Design Education: Selective Use, Design Judgment, and Studio Context ↗
Generative artificial intelligence (AI) is rapidly reshaping studio-based design education, yet relatively little is known about how students decide when and how AI should support their design process. This study examined students’ use, adaptation, and perceptions of generative AI, with particular attention to task-specific use, contextual adaptation, and factors associated with AI-related decision-making. An online survey of 112 undergraduate and graduate design students combined structured questionnaire items with optional open-ended responses to examine AI use across studio tasks, project s…
- OpenAlex · Published · First archived
Hyperautomated Hazard Mitigation Using Integrated, Scalable, and Sustainable Robotics and UAV Systems ↗
Natural and anthropogenic disasters are rising in frequency and severity, and reactive, single-technology response models are now the principal bottleneck in safeguarding planetary health. This article develops Hyperautomated Hazard Mitigation (HHM), in which robots, unmanned aerial vehicles (UAVs), and artificial intelligence (AI) services operate as one integrated, self-optimizing system rather than as isolated tools. Hazard mitigation is treated as a specific resilience behavior of a multi-agent engineering system, building on established proactive-resilience theory rather than presenting t…
- OpenAlex · Published · First archived
Machine-Learning Assessment of Pyrite Trace Elements for Discriminating Ore-Fluid, Deposit-Genesis, and Mineral Commodity ↗
Pyrite trace-element chemistry is widely used to infer ore-forming processes, yet its ability to discriminate ore-fluid, deposit-genetic, and commodity classes has not been quantified within a unified validation framework. We compiled 12,582 LA-ICP-MS pyrite analyses, of which 12,495 from 188 deposits worldwide remained after cleaning, and compared five supervised classifiers (TabPFN, XGBoost, Random Forest, support vector machine, and artificial neural network) across three classification tasks. To limit leakage arising from analyses from the same deposit, all models were evaluated using 100…
- OpenAlex · Published · First archived
Assessing inter-rater agreement among large language model judges: Evidence from persona evaluation across varying educational risk contexts ↗
Large language models (LLMs) are increasingly proposed as automated judges for evaluation, yet their reliability remains unclear. This study examines the inter-rater agreement of three LLM judges (GPT-4o, Claude 3 Sonnet, and Gemini 1.5 Pro) when evaluating fairness, lack of stereotypicality, and diversity in user personas across varying educational risk contexts. We analyzed 60 individual personas and 12 persona sets to assess whether these judges demonstrate sufficient consistency to function as reliable evaluators. Although inter-rater agreement was moderate at the individual persona level,…
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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