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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 ↗5958 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
The Office Harness for AI Agents – Spreadsheets,Docs,Slides,PDF in One Runtime ↗
Hacker News discussion.
- arXiv · Published · First archived
Silent Failures in Agentic Security Evaluation: A Validated Harness for Tool-Call Mediation Under Indirect Prompt Injection ↗
LLM agents that invoke privileged tools are vulnerable to indirect prompt injection (IPI), in which adversarial instructions embedded in retrieved data hijack the agent's actions. A growing body of work evaluates defenses against IPI, but the validity of that evaluation is rarely examined. We audit an IPI benchmark and its harness and identify four defect classes -- silent payload non-delivery, attack success scored by tool identity rather than arguments, false-rejection rate conflated with model incapacity, and the absence of an audit trail -- each of which yields a plausible, publishable, an…
- GitHub · Repository created · First archived
lancer7624/wechat-info-system ↗
微信信息管理系统（脱敏版）：微信 4.x 本地导出 → AI 分析分流 → 数据核对闸门 → HTML 看板 + 飞书提醒。含 DB/图片密钥提取全流程（Frida ≤4.1.13 / wcdb-key-tool 4.1.14+）。
- Hacker News · Posted on Hacker News · First archived
Terraform and OpenTofu: A CI Checklist for AI-Generated Infra ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
The Notice Had Nowhere to Land: The OpenAI Agent Breach in Australia ↗
Hacker News discussion.
- arXiv · Published · First archived
AsynCodeBench: Benchmarking Collaboration of Asynchronous Multi-Agent Systems in Software Engineering ↗
Multi-agent coding has emerged as an increasingly active direction in software engineering, where complex development tasks are decomposed across multiple specialized agents working on different parts of the problem. Despite the shift from individual problem solving to distributed collaboration, multi-agent systems still lack a direct measure of collaboration and are largely evaluated through task-level outcomes inherited from single-agent coding, conflating individual coding capability with cross-agent coordination. We introduce AsynCodeBench, a dependency-centric benchmark for asynchronous m…
- Hacker News · Posted on Hacker News · First archived
I'm coding directly in production with AI and I'm not looking back ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Fly Language Model ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Oxford University lets OpenAI train its AI models on Bodleian Library ↗
Hacker News discussion.
- arXiv · Published · First archived
Ask Without Telling: Local SLMs Consult Cloud LLMs Without Revealing Task Intent ↗
As local small language models (SLMs) increasingly collaborate with more capable cloud large language models (LLMs), a natural privacy question arises: Can a local SLM obtain cloud LLM guidance while protecting user privacy? Existing privacy-preserving SLM-LLM frameworks primarily hide sensitive values while preserving task semantics, which can still expose what the user is trying to accomplish. For example, allocating scarce medical supplies across hospitals may signal an emerging public-health emergency, while rebalancing an investment portfolio may reveal a private investment strategy, even…
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.
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.