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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 ↗5995 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
Show HN: Yaystack.ch, check whether AI answer engines can see your website ↗
Hacker News discussion.
- GitHub · Repository created · First archived
etosin/arc-draw ↗
ARC-DRAW is an SAP-aware Model Context Protocol (MCP) server for SAP Solution Architects. You describe an architecture in plain language; the AI agent places the correct SAP BTP icons and follows the official SAP diagram grammar to lay them out.
- arXiv · Published · First archived
MW-Nowcast: Six-hour ensemble nowcasting of extreme precipitation ↗
Extending reliable nowcasting of extreme precipitation could provide critical additional time for warnings and emergency response during high-impact events such as flash floods. Radar-based generative machine-learning models have enabled skilful hyperlocal precipitation nowcasting, but accurate prediction of intense precipitation remains confined to the first few hours. Because storm-scale structure is predictable for longer than individual cells, a natural strategy is to predict that structure while generatively modelling only the uncertain local growth, decay, reorganisation and initiation o…
- Hacker News · Posted on Hacker News · First archived
Show HN: Codify, AI for transforming and reforming law ↗
hey folks, sharing this cool project (not the author) on codifying law for AI. Full source here: https://github.com/TBI-AI-Incubator/codify
- GitHub · Repository created · First archived
Zhengyuuuui/minimax2api ↗
MiniMax 反代网关：有头浏览器过滑块批量注册养号 + 账号池自动调度，一键转换为 OpenAI / Anthropic 兼容 API
- GitHub · Repository created · First archived
Cicada33016/coursera-assistant ↗
Coursera Assistant, a Chrome extension for Coursera video completion, lecture completion, course automation, reading, discussions, Coach dialogues, and AI-assisted quizzes.
- GitHub · Repository created · First archived
tomaszboloz/SEOmi ↗
Native macOS and Windows workspace for technical SEO audits, site crawling, semantic maps, keyword research, rank tracking, DataForSEO, Search Console, and AI visibility.
- Hugging Face · Model / dataset date · First archived
mj0530/CERA-MoA-Qwen3-4B-4agents — model update ↗
# CERA-MoA (Qwen3-4B, 4 Agents) Official checkpoint for **CERA-MoA**: Co-Evolving Routing Mechanisms with Continually Learning LLM Agents. - Paper: [arXiv:2609.18779](https://arxiv.org/abs/2609.18779) - Code: [github.com/michaeljiang0530/CERA-MoA](https://github.com/michaeljiang0530/CERA-MoA) - Hugging Face Papers: [hf.co/papers/2609.18779](https://huggingface.co/papers/2609.18779) ## What's included | Path | Description | |------|-------------| | `agents/agent_{0,1,2,3}/` | Per-agent LoRA adapters (PEFT) on `Qwen/Qwen3-4B` | | `router.pt` | Familiarity predictor / router heads | Backbone weig
- arXiv · Published · First archived
CoSec: Benchmarking Agent Security in Communities ↗
LLM agents operate in persistent collaborative environments involving multiple users, communities, memories, files, and tools. Community boundaries may remain fixed or evolve with changes in membership, roles, composition, and relationships. Agents must complete legitimate tasks and prevent unauthorized disclosure of protected information. Existing evaluations do not fully examine these risks in agent systems. We introduce \textbf{CoSec}, an executable benchmark for evaluating privacy and authorization enforcement in LLM agent systems operating within and across communities. CoSec contains 208…
- GitHub · Repository created · First archived
Alpha-Park/genpark-layer-norm-rms-norm-regularization-skill ↗
LayerNorm and Root Mean Square Normalization (RMSNorm) with affine transformation parameters
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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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.