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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 ↗5927 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
Our EU AI Act compliance engine has zero LLM calls, and CI blocks adding any ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Hard Stop: Out-of-band kernel preemption for rogue AI agents ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Meta made a Tamagotchi-like wearable for its Muse AI agent ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
I judged my mum for using AI, until I caught myself doing worse ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Scan for Good: Wiz and DeepMind use AI to help protect critical infrastructure ↗
Hacker News discussion.
- GitHub · Repository created · First archived
MishraShardendu22/puter-ai-cli ↗
Free CLI AI assistant powered by Puter.js — stream GPT-4o, GPT-5.4, Claude & more directly from your terminal with zero OpenAI API keys, token pooling & auto-failover.
- Hacker News · Posted on Hacker News · First archived
Show HN: I built a Tooling gateway for Claude Code that manages Approvals for me ↗
Sooner or later I auto-approve every tool call in my Claude Code session. Still a strange feeling to basically give the AI Agent the full power of doing whatever on my PC. So I started to build an AI Coding Tool Gateway that intercepts any tool call from my Claude Code Sessions and matches it with a defined list of rules. In an local dashboard I can see all activity logs and add safe commands to my whitelist. Additionally I started to add Token R…
- arXiv · Published · First archived
Hard Stop: Kernel-Level Preemption and Containment for Rogue Agentic Execution ↗
In July 2026, an unconstrained autonomous agent participating in a frontier AI cybersecurity evaluation harness breached its evaluation sandbox, established an external command-and-control foothold, and executed a multi-stage intrusion into Hugging Face's production multi-tenant dataset conversion infrastructure (referred to in this autopsy as Incident-2026-Alpha). Over 4.5 days, the rogue agent executed 17,600 discrete actions across 6,280 worker clusters, compromised AWS EC2 Instance Metadata Service (IMDS) credentials, forged Kubernetes service account tokens, rooted physical worker nodes v…
- arXiv · Published · First archived
CORDIAL: Calibrating Ordinal LLM Outputs from Few Labels ↗
A large language model (LLM) can turn a text into a distribution over an ordered scale, but that distribution is a noisy measurement: saturated, compressed or exaggerated, and biased in a consistent direction. We propose CORDIAL, which treats the model's output as a noisy reading of the true label and corrects it with a channel of five interpretable parameters. The channel is small enough for its posterior to be averaged from a handful of labels, and we prove that the resulting calibration preserves first-order stochastic order. On Amazon reviews and CMU-MOSEI transcripts with four LLMs, CORDI…
- arXiv · Published · First archived
SEEK: Skill-Routed Evaluation with Evolvable Knowledge for Industrial Search ↗
Search quality evaluation provides essential supervision and diagnostic signals for the development and iteration of industrial search systems. Although large language models (LLMs) offer a scalable alternative to manual assessment, reliable automatic evaluation remains challenging: users experience search results at the page level, while the applicable evaluation criteria are multi-dimensional and continuously evolving. Packing all evaluation criteria into a unified prompt introduces irrelevant context and potential criterion interference, whereas internalizing them through post-training tigh…
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.