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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 ↗5965 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.
- Hacker News · Posted on Hacker News · First archived
OpenAI Halts Model Release Amid Safety Escalation ↗
Hacker News discussion.
- GitHub · Repository created · First archived
B0yko/local-enough ↗
Measure whether a back-office AI task can run on your own hardware: accuracy vs gold, p50/p95 latency, $/1k tasks, amortised hardware cost and break-even volume, plus an OpenAI-compatible router that sends each task to the cheapest model meeting your quality bar.
- Hacker News · Posted on Hacker News · First archived
AI and the Revenge of the Non-Techies ↗
Hacker News discussion.
- GitHub · Repository created · First archived
elopstudio/elop-crew ↗
ELOP Crew ? the AI Agent Monitor for Claude Code: a local dashboard and desktop app for every Claude Code session on your machine, grouped as project, leader and agents. Claude Code only, for now.
- Hacker News · Posted on Hacker News · First archived
GPT-6 Astra Is the Best Vision Model We Have Tested ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Atrocious AI-Written Tests ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Bibliometric analysis of scientific articles on artificial intelligence and tourism: Compliance with Bradford, Lotka and Zipf s Laws ↗
Purpose: This study aims to examine the development of scientific research on artificial intelligence and tourism, focusing on publication patterns, collaboration structures, thematic trends and the conceptual structure of the field.Design/methodology/approach: Bibliographic data were retrieved from the Scopus database.A total of 1,089 English-language journal articles published between 2001 and 2025 were analysed using Microsoft Excel and Bibliometrix/Biblioshiny.The study included performance analysis, author, institution and country-level collaboration analyses, keyword co-occurrence analys…
- OpenAlex · Published · First archived
Factors Predicting Pre‐Service Teachers' Intentions to Use Artificial Intelligence Software ↗
ABSTRACT This research investigates the factors affecting pre‐service teachers' (PSTs) behavioural intentions (BI) to use artificial intelligence software in their future classes. The study examined factors affecting PSTs' behavioural intentions using an extended UTAUT framework comprising Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), and Hedonic Motivation (HM). The study included 432 PSTs from the Faculty of Education at a state university in Eastern Türkiye. “Pre‐service Teachers' Acceptance Scale for AI‐Supported Education”, a val…
- OpenAlex · Published · First archived
Glucuronyl Glucosyloleanolate, an AI-Discovered Saponin: From Melanocyte Assays to Clinical Skin Lightening-Brightening in a Multi-Ethnic Panel ↗
Most of the depigmenting active ingredients currently in use work by inhibiting the catalytic activity of tyrosinase, and several of them are now subject to increasingly stringent regulatory and tolerance requirements. Glucuronylglucosyloleanolate (GGO), a natural triterpene saponin, was identified from public compound databases using an AI-based discovery platform combining in-silico predictions, physchem parameters and market requirements; and was subsequently subjected to a series of stepwise experiments. In normal human epidermal melanocytes, GGO reduced melanin production by up to 86% at…
- OpenAlex · Published · First archived
Explainable Machine Learning in Mineral Prospectivity Mapping: A Critical Review of Methods, Geological Knowledge Embedding, Validation, and Future Directions ↗
Mineral prospectivity mapping (MPM) increasingly integrates geological, geochemical, geophysical, remote-sensing, and structural evidence through machine-learning workflows. Predictive accuracy alone, however, does not establish that a prospectivity map is geologically credible or useful for exploration decisions. This critical narrative review examines explainable artificial intelligence (XAI) for MPM through the connections among model behavior, mineral-system knowledge, sampling, spatial validation, uncertainty, and field evidence. We distinguish methods demonstrated in representative MPM s…
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.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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