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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.
- OpenAlex · Published · First archived
Agentic Software Issue Resolution with Large Language Models: A Survey ↗
Software issue resolution task aims to address real-world issues in software repositories based on natural language descriptions provided by users, representing a key aspect of software maintenance. With the rapid development of large language models (LLMs) in reasoning and generative capabilities, LLM-based approaches have made significant progress in automated software issue resolution. However, real-world software issue resolution is inherently complex and requires long-horizon reasoning, iterative exploration, and feedback-driven decision-making that demand agentic capabilities beyond conv…
- OpenAlex · Published · First archived
Enhancing security in LLM applications: a performance evaluation of early detection systems ↗
Abstract Prompt injection (PI) attacks threaten novel software applications, which have LLM-based functionality. Prompt leakage, a variant of prompt injection, constitutes a serious confidentiality risk to those applications. Existing defenses against PI attacks currently cannot identify prompt leaks precisely. Moreover, an attacker can construct leakage attacks, which could evade most of these defenses. This prevents the ubiquitous adoption of LLMs in software applications. Meanwhile, there is a lack of practical investigations into the effectiveness of prompt injection (PI) detection tools.…
- Europe PMC · Published · First archived
First-in-human evaluation of real-time pixel-level AI-assisted anatomical segmentation in neurosurgery: pituitary surgery as an exemplar. ↗
Introduction Precise anatomical navigation is fundamental to safe endoscopic pituitary surgery, a high-stakes procedure characterised by a challenging learning curve. While traditional navigation systems often rely on workflow-disrupting probes or static preoperative imaging, advancements in computer vision AI (CVAI) now enable dynamic, real-time pixel-level anatomical segmentation directly from live surgical video. Our group has previously conducted a series of preclinical human-computer interaction studies to refine the system's design, alongside digital and high-fidelity physical simulation
- Hugging Face · Model / dataset date · First archived
vllm-sr/Decision-2.0-Kai-0.6B — model update ↗
 # Decision-2.0-Kai-0.6B **Decision-2.0-Kai-0.6B** is the 0.6B model of [Decision 2.0](https://huggingface.co/collections/vllm-sr/decision-20-6ab7cf7bdfb506bf8269cb00), the decision models of [vLLM Semantic Router](https://github.com/vllm-project/semantic-router). Give it an input (text or JSON) and the questions you need answered: pick one of several options, say yes or no, or rate on a scale. It answers them all at once and returns a probability for every answer, without generating text. | | | | --- | --- | | **Parameters** | 0.60B | | **Context len
- Hacker News · Posted on Hacker News · First archived
Tinfoil private AI chat adds TEE-side content scanning ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI Cracks 217-Year-Old Napoleonic Cipher in 6 Hours,Revealing PreWar Deployments ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Teacher Planner – A digital planbook with AI tools for teachers ↗
Hi HN, I built Teacher Planner to help teachers organize lessons and prepare classroom materials in one place. The digital planbook brings together lesson plans, units, schedules, and curriculum standards, with day, week, and month views, read-only sharing, and configurable print layouts. It supports English and Chinese, and you can try the planner as a guest without creating an account. Alongside the planner, there are five AI tools: a lesson pl…
- GitHub · Repository created · First archived
youbaiyun/dsh-browser-crossplatform ↗
Browser extension for the DeepSeek Harness desktop app. The model reads the page you are on as text with numbered controls and acts on it — click, type, scroll, navigate, manage tabs — and, when you switch image recognition on, looks at an image you point at. It asks before acting, keeps passwords in the page, and talks to your own desktop; the one
- Hugging Face · Model / dataset date · First archived
mradermacher/Med-V1-L3B-GGUF — model update ↗
## About static quants of https://huggingface.co/nlm-dir/Med-V1-L3B ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Med-V1-L3B-GGUF).*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, inclu
- Hacker News · Posted on Hacker News · First archived
LLMs Will Not Replace AI Compilers. They Will Call 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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