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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 ↗5969 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
McDonald's turns to AI for drive-thru, inventory management, order accuracy ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI: Who Still Uses Permissions? ↗
Genuinely curious. A year or so ago I grew very tired of having to constantly monitor my terminal in case the agent would ask me for permission to use a tool. I wouldn't have minded that much if the all harnesses didn't suck as much as they do and actually remembered permissions when you tell them to, but they don't, so you end up having to answer "Yes" a quadrigazillion times a day. So claude has been an alias to `claude --dangerously-skip-permi…
- GitHub · Repository created · First archived
assistant-ui/jevia ↗
outcome-aware & adaptive model routing for coding agents with deterministic cache powered by Jev
- GitHub · Repository created · First archived
AgentSystemLabs/agent-office ↗
A cartoon 3D office where your team hires Claude Code workers at desks, shares live terminals, talks over voice, and tracks GitHub issues and PRs.
- Hacker News · Posted on Hacker News · First archived
Generate fonts where every LLM token is the same width ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Tenjin – A Jev based x402 tool router for Claude Code ↗
Hey HN! We're Ali And Vrajang. We just created a tool router for Claude Code built on Jev. It basically gives your agent superpowers. You keep working like you always do. When Jev thinks a tool would help, it provides it to your agent and your agent uses it. It watches your masked prompts, session context, web searches and subagent tasks, so it knows exactly when to intervene. For now, tools come from a curated library. It's the basics like Exa,…
- GitHub · Repository created · First archived
underworldhistory1-ctrl/minimax-h3-higgsfield ↗
MiniMax H3 video studio for Windows and Linux: text, frames, named references, native audio, render options, and a creator-friendly UI.
- GitHub · Repository created · First archived
aaddrick/building-with-typesafe-jev ↗
Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.
- OpenAlex · Published · First archived
Shallow water wave dynamics and novel exact solutions of the (2+1)-dimensional BLMP equation via an improved bilinear neural network method ↗
We investigate the ( 2 + 1 ) -dimensional Boiti–Leon–Manna–Pempinelli (BLMP) equation, a nonlinear dispersive model governing shallow water wave propagation and incompressible fluid dynamics. Applying the improved bilinear neural network method (IBNNM) with composite activation functions, we transform the governing equation into its Hirota bilinear form and construct nine families of exact analytical wave solutions using single-hidden-layer (3-2-1, 3-3-1, 3-4-1) and double-hidden-layer (3-2-2-1, 3-2-3-1) neural-network-type trial functions. The activation functions employed include polynomial,…
- OpenAlex · Published · First archived
A Siamese Neural Network framework for computational drug repositioning using literature-derived biomedical knowledge ↗
Traditional drug development remains costly, time-consuming, and characterized by high attrition rates, motivating increased interest in drug repositioning as a strategy to identify new therapeutic indications for existing compounds. A central challenge in computational repositioning is the extraction and utilization of drug–disease associations embedded within large, unstructured biomedical literature. In this work, we present a data-driven computational framework for drug repositioning based on heterogeneous Siamese Neural Networks (SNNs). The proposed framework integrates literature-derived…
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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.
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