THE INTERNET IS THINKING
Earlier sources: AI infrastructure
AI infrastructure comprises the compute, storage, serving systems, and operational tools used to train and deploy models. Follow inference engines, distributed training, observability, and the costs and constraints of running AI workloads.
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 ↗41 classified signals in the fourteen-day window. 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
prabanta-dev/janas ↗
Janas-LLM: large mixture-of-experts language models on ordinary computers, in C. Experts streamed from NVMe, with or without a GPU.
- GitHub · Repository created · First archived
hometrix/SplashMonitor ↗
First native macOS desktop app and menu bar monitor for Inco AI's Splash local inference engine on Apple Silicon
- GitHub · Repository created · First archived
mizorewww/laya-mlx ↗
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
- GitHub · Repository created · First archived
pallavi-shekhar/ai-engineering-interview-questions-company-wise ↗
Your Cheat Sheet For AI Engineering Interviews at Top AI Companies - Questions and Answers.
- GitHub · Repository created · First archived
surya-koritala/Glyd ↗
Lossless AI compression: 33% less GPU memory, bit for bit.
- GitHub · Repository created · First archived
vizuh/sabi ↗
Adaptive inference scheduling for AI agents — per-round model, effort and provider routing for coding harnesses: a Command Code mod or a local OpenAI-compatible proxy.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about AI infrastructure
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 ↗
Related threads
Explore related regions
These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.