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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 ↗6025 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.
- Hugging Face · Model / dataset date · First archived
IndiaTechTeamSL2/tictactoe-act-lang — model update ↗
# Model Card for act_lang _Model type not recognized — please update this template._ This policy has been trained and pushed to the Hub using [LeRobot](https://github.com/huggingface/lerobot). See the full documentation at [LeRobot Docs](https://huggingface.co/docs/lerobot/index). --- ## How to Get Started with the Model For a complete walkthrough, see the [training guide](https://huggingface.co/docs/lerobot/il_robots#train-a-policy). Below is the short version on how to train and run inference/eval: ### Train from scratch ```bash python -m lerobot.scripts.train \ --dataset.repo_id=${HF_USER}/
- Hugging Face · Model / dataset date · First archived
mradermacher/Kronumos-Kairos-v2-GGUF — model release ↗
static quants of https://huggingface.co/Kronumos/Kronumos-Kairos-v2
- Hacker News · Posted on Hacker News · First archived
The Fastest Growing Market in Tech Isn't AI – Tomasz Tunguz ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
GitHub mutuals on AI in life sciences or bioinformatics ↗
Dear all. Does anybody here build applications for AI in life sciences or bioinformatics? I would love to be mutuals and connected on my github account here: https://github.com/Johnkecops Here are some examples on what I built with my team: Protein domain annotation pipeline from my dissertation: https://github.com/Johnkecops/protein-domain Alzheimer Epigenetics annotation pipeline: https://github.com/Johnkecops/Alzheimer_Epigenetics Camcer Epige…
- GitHub · Repository created · First archived
perkel666/MegaCapybara ↗
The fastest inference engine for Qwen3.8-27B on the NVIDIA RTX 5090: up to 500 tokens/s for one agent and up to 2,000 tokens/s for many, contexts up to 1M tokens, and a launcher that shows what every setting costs. Windows and Linux.
- Hacker News · Posted on Hacker News · First archived
Vulnerability Discovery and Exploitation Trends in the AI Era ↗
Hacker News discussion.
- OpenAlex · Published · First archived
GraphLLM4CTR: Large Language Model-Enhanced Graph Neural Networks for Click-through Rate Prediction in Recommender Systems ↗
Click-through rate (CTR) prediction is a crucial task to estimate the probability that users will click on items in online platforms. Recently, researchers have incorporated semantics derived from large language models (LLMs) into representations of users and items in graph neural networks (GNNs) framework to facilitate CTR prediction. However, existing hybrid GNNs-LLMs models predominantly treat GNNs and LLMs as two independent components, and suffer from the ineffective modality alignment between graph and textual representations. To address these issues, we propose LLMs-enhanced GNNs for CT…
- OpenAlex · Published · First archived
The influence of AI-powered investment recommendations on individual investors: A mixed-methods study from the perspective of persuasive communication ↗
This study examines how individual retail investors receive AI-generated investment advice from the perspective of persuasive communication. Arguing that large language models (LLMs) create a persuasion dynamic different from that of traditional media, it combines in-depth interviews with a content analysis of AI outputs in a mixed-methods design. Interviews with 18 investors who use AI for investment decisions were analyzed through Interpretative Phenomenological Analysis, and the responses of four models to six standardized scenarios were coded with the AI Investment Advice Evaluation Scale…
- OpenAlex · Published · First archived
Structural state identification based on multi-channel convolutional neural network and homology analysis ↗
Traditional deep learning-based structural state identification methods are typically built upon a closed-set assumption, which limits their ability to handle previously unseen structural states in structural health monitoring. To address this limitation, this paper proposes a state identification framework based on homology analysis using a convolutional neural network, which reformulates the conventional multi-class classification task into a multi-channel state consistency learning problem. Normalized amplitude-frequency spectra are first extracted from time-domain vibration responses and t…
- OpenAlex · Published · First archived
NEGOTIATING TEACHER AGENCY IN THE AGE OF ARTIFICIAL INTELLIGENCE: ENGLISH LANGUAGE TEACHING PRACTICES IN UZBEKISTAN ↗
In recent years, the rapid development of digital technologies has brought about fundamental changes in the education system. In particular, the introduction of artificial intelligence (AI) technologies into the educational process requires a rethinking of the content, form, and methods of teaching and learning based on new approaches. In a world where English has become the primary means of global communication, science, technology, and international cooperation, teaching it effectively and innovatively is one of the most pressing issues. From this perspective, the scientific analysis of mode…
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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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