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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 ↗5180 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.
- arXiv · Published · First archived
Poison Valleys: Diagnosing Path-Dependent Failure in LLM Code Repair ↗
When code-repair agents fail, final tests reveal that a patch is wrong but not which earlier commitment caused it or which software obligation failed. Poison Valleys traces this path in 1,844 model requests on two synthetic Python cases: PersistQueue adds atomic batch claiming to a disk-backed queue, while Dijkstra adds source-sensitive filtering to shortest-path search. We define plausible but incorrect software mechanisms, place each in a model's hypothesis, implementation plan, or both, and evaluate the generated code with an Oracle and targeted diagnostic coordinates. Moving the misconcept…
- Hacker News · Posted on Hacker News · First archived
Kerno 1.0 – AI Back End Runtime QA Engineer ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Step 5 Preview: Architecture and Training for Agentic Work ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Working on Plug and play AI memory that works across AI agents ↗
So I've been working on a project (Make0 AI) for a long time where I wanted to give common context to both Codex and Claude Code. The problem is simple - while working on Claude and after exhausting the daily/weekly limits I've start again from scratch in Codex. Of course I can prompt Claude to summarise a handoff that I can give to Codex but that is inefficient. So I thought of a creating a common context for both of them locally using a simple…
- GitHub · Repository created · First archived
tetriz-ai/tetriz-harness ↗
Recommend AI coding harness changes from repository context and coding signals, then distribute approved rules, skills, hooks and agents to selected people or teams. Pair with Agent Desk through your ingestion adapter; use audience targeting for manual test/control rollouts.
- Hugging Face · Model / dataset date · First archived
Anticloud/anticloud-apptainer — dataset update ↗
# APPTAINER > Anticloud offline package — upstream: apptainer/apptainer @ `main`. ## What This Project Does Apptainer: Application containers for Linux **Topics:** apptainer, containers, hpc, linux, rootless-containers, science, singularity, singularity-container ## Upstream README # Apptainer [](https://github.com/apptainer/apptainer/actions/workflows/ci.yml) [](https://pkg.go.dev/github.com/apptainer/apptainer) [![Go Report
- Hacker News · Posted on Hacker News · First archived
VeerAI: An AI agent inside our hosting dashboard ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Hotel Lobby AI – 9:16 vertical COLORS show rap videos with Wan 3.0 ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Anthropic flags revenue surge to investors ahead of stock market debut ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Aidlc: Adaptive workflow steering rules for AI coding agents ↗
Hacker News discussion.
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.