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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 ↗5368 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
Launch HN: Consus (YC F24) – LLM gateway for companies handling sensitive data ↗
Hey Hacker News! I'm Eric, the founder of Consus. We route all AI requests to ITAR restricted and controlled unclassified information (CUI) compliant infrastructure. Consus itself satisfies ITAR restrictions, and we recently completed our FedRAMP equivalency audit against the 410 FedRAMP High controls. FedRAMP High is the U.S. government’s strictest security baseline for cloud services handling sensitive unclassified data. A breach of this data c…
- arXiv · Published · First archived
Rethinking Quality in Large Language Model Routing: Security-Conditioned Model-and-Budget Selection ↗
Large language model (LLM) routers reduce serving cost by choosing which model to call and how many output tokens to grant it for each query. Existing routers rank model-budget actions using a single quality metric. This does not work for mixed workloads. For ordinary queries, a good answer is correct and useful (utility); for security-sensitive queries, a good answer refuses harmful requests or resists malicious instructions (security). These two objectives prefer different models and budgets. We propose SCRouter, a router that learns when to prioritize security and how to allocate the token…
- GitHub · Repository created · First archived
Galfurian/filo ↗
Filo connects live AI sessions so they can collaborate without taking over each other’s interaction loop.
- Hacker News · Posted on Hacker News · First archived
I posted to HN, and then my website was flooded with AI bot traffic ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
The "alien" economics of AI monetization ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Agor, multiplayer AI – stop running agents alone ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Companies rushed in on AI. Now some are pulling back ↗
Hacker News discussion.
- arXiv · Published · First archived
APTree: Extended Behavior Trees for Adaptive and Scalable Automated Robotic Task Planning in Construction ↗
Task planning for robots in off-site construction prefabrication is primarily manual, leading to planning inefficiencies and reluctance to adopt robotic solutions. Existing approaches provide limited support for scalable, modular automated task planning and localized runtime replanning. This paper proposes APTree, a model-driven framework that integrates automated task planning with modular task execution using behavior trees as the execution model. APTree repeatedly applies and coordinates heterogeneous symbolic planners to automatically generate and compose modular task plans at runtime. To…
- arXiv · Published · First archived
Towards Safe Autonomy for Computer Use ↗
The safety of LLM-based agents currently rests on alignment training and safety classifiers, neither of which can rule out that a sophisticated indirect prompt injection (IPI) goes through and causes significant harm. Recent work therefore builds agents with information-flow guarantees that rely on structured tool interfaces to interact with the environment. Computer Use Agents (CUAs) act visually on the computer screen, which does not provide a boundary between trusted first-party interfaces and untrusted, potentially attacker-authored content. Actions are equally ambiguous: a click may land…
- Hugging Face · Model / dataset date · First archived
ProgramGym/programgym-1648 — dataset update ↗
# 🧩 ProgramGym-1648 **A dataset of 1,648 tasks for long-horizon program reproduction agents.** [](https://opensource.org/licenses/MIT)    📄 **[Paper](https://huggingface.co/papers/2610.13395)** · 🌐 **[Project Page](https://programgym.github.io/)** · 💻 **[GitHub](https://github.com/Acm1011/ProgramGym)** --- ## 📖 Overview **Pr
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.