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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 ↗5906 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
HeyPuter/builder ↗
📦✨ AI Builder For Creating Sites and Apps! An open-source alternative to Lovable, Replit, v0, and similar platforms.
- GitHub · Repository created · First archived
ZephyrDeng/ego-jev ↗
ego lite skill — each DOM step decided in ~0.4s, no LLM turn
- runtimewire.com · Source date · First archived
OpenAI is preparing a new Codex Cloud with Tailscale and Azure workload identity ↗
I found evidence in OpenAI desktop build 9922 that the company is developing a new Codex Cloud service alongside its existing system. The unreleased path separates "Cloud" from "Cloud (Legacy)," lets Codex conduct an onboarding conversation, inspect selected repositories and prepare an environment draft for developer review. The accompanying environment system includes reusable Tailscale authentication keys, proxy-delivered network secrets and OpenID Connect cloud identities. Microsoft Azure appears further along than Amazon Web Services or Google Cloud in this client build, although the clien…
- GitHub · Repository created · First archived
freestylefly/WeChatBridge ↗
微信聊天记录一键转发到 AI Agent 与 Obsidian 的原生 macOS 工具
- GitHub · Repository created · First archived
Hikari-Tsai/ai-interview ↗
Multilingual AI engineering interview flashcards with source-linked study notes and incremental updates.
- GitHub · Repository created · First archived
Alex314618-create/JevRev ↗
An LLM + Jev workflow that changes EVERYTHING. Boost your vertebrate brain with a spine inside.
- GitHub · Repository created · First archived
ismaelsoilet/jev-harness ↗
Zero-dependency System One decision harness: 5 semantic gates saving frontier AI agent tokens on trivial errors & doom loops. Python + TypeScript + Rust. MCP-compatible.
- GitHub · Repository created · First archived
FluidInference/FluidUse ↗
Local computer use on Apple silicon: on-device typed decisions with laya and form filling with CUA-S1-FORMS, driven through the macOS Accessibility API
- GitHub · Repository created · First archived
2456868764/jevguide ↗
Curated Jev showcases from X, organized by category with media previews and direct source links.
- GitHub · Repository created · First archived
Rizzo-AI-Academy/rizzo-flow ↗
The open, local take on Jev: typed decisions from an LLM, without generating a single token
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.