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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 ↗5995 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
China Broadens Travel Curbs to Encompass Family of Top AI Talent ↗
Hacker News discussion.
- arXiv · Published · First archived
Still There, No Longer Seen: Exposing Compression-Induced Risk in Large Vision-Language Models ↗
Visual token compression reduces the inference cost of Large Vision-Language Models (LVLMs). However, aggregate robustness measures do not reveal whether a particular adversarial failure is induced by compression or inherited from the underlying model. We define a compression-specific failure (CSF) as an adversarial input that remains correct under full-token inference but fails after compression, casting compression-induced risk as a paired failure attribution problem. Within a controlled diagnostic cohort, counterfactuals show that retained-set allocation causally changes compressed correctn…
- Hacker News · Posted on Hacker News · First archived
Cohesix – find out what happened to a local AI job ↗
Hacker News discussion.
- arXiv · Published · First archived
Making the Invisible Visible: A Framework for Reflective AI Use in Software Engineering Education ↗
Generative AI (GenAI) is increasingly embedded in software engineering education, supporting activities such as requirements development, design exploration, documentation, and prototyping. However, educators often have visibility only into final artefacts, with limited insight into how students evaluate, verify, and refine AI-generated outputs during the learning process. This creates challenges for assessing evaluative judgement and responsible AI-assisted practice. This paper introduces the AI Journal, a structured reflection framework designed to make student-GenAI interaction visible in f…
- arXiv · Published · First archived
Simulation-Based Quantum System Inference with Neural Posterior Estimation ↗
Models of quantum systems faithfully map system parameters to observations, but the inverse problem of parameter inference from measurement data presents a fundamental challenge: computationally intractable likelihoods due to an exponentially large Hilbert space. Here, we introduce simulation-based quantum system inference, a unified, likelihood-free framework that learns parameter posteriors directly from classical simulation data. The central idea is to pair polynomial-cost classical simulators, such as Pauli propagation and tensor networks, with normalizing flows or other neural density est…
- Hacker News · Posted on Hacker News · First archived
SlopTotal, a Self-hosted AI text detector that runs 23 open models ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
ansarzeinulla/bestemshe-resmlp — model update ↗
# Bestemshe ResMLP — value and policy network distilled from an exact oracle **Authors:** Ansar Zeinulla & Murat Manassov · Nazarbayev University **Oracle (tablebase):** [ansarzeinulla/bestemshe-tablebase](https://huggingface.co/datasets/ansarzeinulla/bestemshe-tablebase) (8.3 GiB, 1.26×10¹¹ positions) **Code:** [github.com/ansarzeinulla/Bestemshe](https://github.com/ansarzeinulla/Bestemshe) A dual-headed residual MLP trained by supervised distillation on positions labelled by the exact Bestemshe tablebase. It predicts, for the side to move: - **Value:** loss / draw / win. - **Policy:** logits
- Hacker News · Posted on Hacker News · First archived
Is an Agentic Bank Run Coming? ↗
Hacker News discussion.
- arXiv · Published · First archived
Before Acting, Change the State: Prospective State Intervention for Web Agents under Deceptive Interfaces ↗
LLM-based Web agents can autonomously complete user tasks, yet deceptive interfaces can steer them toward outcomes that conflict with users' interests. Existing defenses primarily intervene on agent behavior through blocking, guidance, or replanning. We identify a distinct failure mode: a task-valid action can still realize an unauthorized consequence because of the current Web state. This motivates treating task-relevant Web state itself as a runtime control target. We introduce Veer, an agent-side runtime defense that leaves task planning to the base agent and intervenes on Web state when a…
- Hacker News · Posted on Hacker News · First archived
Hospitals use AI to find more things to bill for. Insurers use AI to deny them. ↗
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.
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.