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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 ↗5999 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.
- arXiv · Published · First archived
Xaurora: Generative Weather Forecasting with Denoising Stochastic Interpolants from a Foundation Model Prior ↗
Deep learning has revolutionised weather forecasting in recent years, especially through atmospheric foundation models, which offer competitive skill for a fraction of the computational costs of classic physics-based models. However, most existing foundation models are deterministic, limiting the generation of large ensembles for accurate uncertainty quantification, extreme weather risk assessment, and long-range weather forecasting. Furthermore, these models incur a large, often prohibitive, computational overhead to train from scratch. To address these shortcomings, we turn a pretrained dete…
- arXiv · Published · First archived
An Evaluation of the Semantic Understanding Capabilities of Large Language Models for Web Attack Payloads ↗
Computer vision services delivered through Web interfaces and APIs process textual requests for image-resource acquisition, inference-task configuration, and result management, making Web attack-payload analysis relevant to their deployment security. Large language models (LLMs) can identify payload types and explain attack intent. However, existing studies generally treat payload analysis as a single-layer classification task and lack both a systematic assessment of how deeply LLMs understand payloads and an evaluation benchmark dedicated to the depth of semantic understanding of Web attack p…
- GitHub · Repository created · First archived
lithos-ai/lithos-metal ↗
lithos-metal: high-performance LLM inference kernels and serving for Apple silicon.
- Hacker News · Posted on Hacker News · First archived
Show HN: Agentic Telemetry – Simple Observability Tool for Agentic System ↗
Hacker News discussion.
- GitHub · Repository created · First archived
GTKottman/mortiflix-oss ↗
A motion design studio on your own machine: Claude makes the video step by step, you approve every stage. Bring your own Claude Code or API key.
- Hacker News · Posted on Hacker News · First archived
Show HN: Usermods, an extension that runs an a coding agent to build userscripts ↗
I built Usermods to make it easy to fix or improve any site on the fly. Remove any user-unfriendly annoyances, get past modal signup screens, or access some sites that otherwise require signup to view content they leave open to be indexed. Or, restyle a site to not look like it’s from last century. Usermods is a browser extension from Chrome, Safari, and iOS that puts a coding agent in your sidebar. Chat with it like you would with Claude and it…
- Hacker News · Posted on Hacker News · First archived
What an AI agent is – a primer ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Florida woman arrested for allegedly making threats in an AI chat ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Recast, an experimental Smalltalk app that repairs itself with an LLM ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
wesleysimplicio/Simplicio-27B — model update ↗
# ⚡ Simplicio 27B: Autonomous Software Engineering Model Autonomous Software Engineering & Atomic Surgical Code Synthesis Model (27B) Official simpleti.com.br Agentic Foundation Architecture --- ## Simplicio 27B Highlights **Simplicio 27B** is a specialized, open-weights software engineering foundation model derived from **Qwen3.8-27B** and fine-tuned via **Unsloth (QLoRA 4-bit)** using proprietary atomic diff synthesis trajectories developed by Wesley Simplicio ([@simpletibr](https://github.com/simpletibr)) at [simpleti.com.br](https://simpleti.com.br/simplicio-27b). Unlike standard conversat
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.