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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.
- Hacker News · Posted on Hacker News · First archived
Show HN: Designobo – AI prototyping tool in 40kb of js ↗
hi HN I'm building designobo, a very fast ai prototyping tool. It let's you create and compare html prototypes in an infinite canvas. There's also a full css editor if you want to manually edit styles. You can also connect any coding agent that supports MCP, so that you can use your own AI subscription. This is an SSR app powered by datastar. I use CQRS and html patches with brotli compression to stream updates to the client. I built designobo be…
- Hacker News · Posted on Hacker News · First archived
Best Books/Courses/Channels to Leapfrog on AI/ML Material ↗
Assuming I have been on hibernation since 2018-19 time frame, which materials - books, MOOC courses and YT channels would be recommended for me to get started with understanding all the current progress on AI/ML. I am looking for a resource like TeachYourselfCS[1] that can give me structure and roadmap to navigate all the progress/knowledge on the domain. [1] - https://teachyourselfcs.com/
- Hugging Face · Model / dataset date · First archived
referencesource/legal-metrology-accuracy-classes — dataset update ↗
# Accuracy classes and maximum permissible errors for trade measuring instruments (EU MID) **Canonical, always-current version: https://referencesource.org/legal-metrology-accuracy-classes/** Machine-readable: https://referencesource.org/legal-metrology-accuracy-classes/data.json — this mirror is a point-in-time copy. - **Last verified:** 2026-10-03 - **Stale after:** 2027-08-05 (past this date, prefer the canonical copy — it re-verifies on a cadence this snapshot does not) - **Records:** 70 Accuracy classes and maximum permissible errors that Directive 2014/32/EU (the Measuring Instruments Di
- Hugging Face · Model / dataset date · First archived
referencesource/kubernetes-version-skew-policy — dataset update ↗
# Kubernetes component version skew policy: how far apart component versions can be in a supported cluster **Canonical, always-current version: https://referencesource.org/kubernetes-version-skew-policy/** Machine-readable: https://referencesource.org/kubernetes-version-skew-policy/data.json — this mirror is a point-in-time copy. - **Last verified:** 2026-10-03 - **Stale after:** 2026-12-30 (past this date, prefer the canonical copy — it re-verifies on a cadence this snapshot does not) - **Records:** 6 The maximum version difference Kubernetes supports between cluster components, one record pe
- arXiv · Published · First archived
Does AI Help Cyber Attackers or Defenders? Evidence from Nonpublic Vulnerabilities and Subsequent Attacks ↗
The release decision for frontier AI systems increasingly relies on cyber capability benchmarks, yet public vulnerability benchmarks can expose agents to previously published advisories, exploits, and fixes, making it difficult to distinguish prior exposure from capability on unseen vulnerabilities. We evaluate open-weight and proprietary AI models on exploit generation, vulnerability repair and subsequent attacks in five nonpublic software environments, including vulnerabilities we privately disclosed while they remained unpatched. Researcher-developed and reviewed deterministic graders, not…
- Hugging Face · Model / dataset date · First archived
jaymanaryan/qwen3-0.6b-reasoning-indic-merge — model update ↗
# out reasoning indic arcee fusion Qwen3-0.6B merge of the reasoning_stem and indic clusters via arcee_fusion (direct 2-model merge, no chaining required). Validated: PPL 28.1 on a fixed neutral-text sample, 0/8 degenerate outputs across a reasoning/coding/indic-hinglish/general-instruction domain battery under both greedy and greedy+repetition_penalty decoding. Does NOT include creative-writing or medical/general capability. ## Base architecture This model is based on **Qwen3-0.6B** architecture. ## Merge pipeline Direct single-step `arcee_fusion` merge of two validated clusters: ```text fina
- GitHub · Repository created · First archived
Andiii208/seu-handbook-skill ↗
把《东南大学大学生手册（2025）》变成可装进本地 Agent 的 Skill：规章全文按条拆分可溯源，高频加分/评奖/绩点表结构化，官方渠道清单处理每年变化的信息
- Hacker News · Posted on Hacker News · First archived
Show HN: I finetuned 1.5B Qwen to near GPT-4o level bash generation perf ↗
Purely a hobby side project to see how far I can push a really small model, using (mostly) automated training pipelines Original mention: https://news.ycombinator.com/item?id=49869735 There were a bunch of requests to release it. Full synthetic data: https://huggingface.co/datasets/dirac-run/ec-training-data Models: https://huggingface.co/dirac-run/ec-1.5b-gguf and https://huggingface.co/dirac-run/ec-0.6b-gguf Cli https://github.com/dirac-run/ec…
- Hacker News · Posted on Hacker News · First archived
Reporting AI Studies in Education (Raise) Framework ↗
Hacker News discussion.
- arXiv · Published · First archived
GCTAuto-encoder: A Cross modal Framework for Security Flaw Detection in IoT Networks ↗
IoT encompasses diverse physical entities, from smart home devices to autonomous vehicles, creating a complex environment with heterogeneous security models. This heterogeneity makes IoT sub-systems vulnerable to various network attacks. Modern security systems must therefore be more robust to ensure security and privacy for IoT applications. A highly secure IoT system also demands real time insight, requiring data collection at the edge of the computing layer. This diversity calls for a unified security model applied at the foundational level. Edge intelligence offers a direct approach to han…
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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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