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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
Gemini 3.8 with Live Avatar ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Canary (YC) – Independent verification for AI code ↗
Your agent’s code can pass its tests and code review, yet still fail under a combination of inputs, permissions, state or timing that nobody checked. Hey HN, we’re building Canary, independent verification for AI code. Your coding harness calls it with a change and its intended behavior. Canary deploys agent swarms to investigate possible failures and test suspected runtime bugs against the running system in remote sandboxes. To try it on your re…
- Hacker News · Posted on Hacker News · First archived
Cheaper LLM Labelling ↗
Hacker News discussion.
- GitHub · Repository created · First archived
sley-lang/sley ↗
Sley — a machine-native programming language: typed semantic state, exact roots, deterministic execution
- Hacker News · Posted on Hacker News · First archived
Show HN: I built an AI assistant that turns website visitors into leads ↗
Hacker News discussion.
- arXiv · Published · First archived
MQSS-Selector: RL-Guided Pass Selection for an MLIR Compilation Pipeline ↗
High Performance Computing (HPC) and Quantum Computing (QC) systems are increasingly converging towards unified High Performance Computing-Quantum Computing (HPCQC) infrastructures, driven by a growing need to bridge classical and quantum workflows, which affects all levels of the system stack, from the hardware to compilers and runtimes, all the way to applications. However, today's QC devices are still in the Noisy Intermediate-Scale Quantum (NISQ) era, are error-prone and resource-limited, and therefore require specialized optimizations and topology mappings to achieve sufficient fidelity.…
- Hacker News · Posted on Hacker News · First archived
So yeah it was written using AI ↗
Hacker News discussion.
- arXiv · Published · First archived
PrivDrift: Auditing User-Secret Leakage Under Topic Drift in Active LLM Conversations ↗
Large language models increasingly operate as persistent assistants in user-facing, shared-session, and tool-augmented settings. When users disclose sensitive information during an active conversation, that information may remain behaviorally recoverable through later prompts even after the dialogue shifts to unrelated topics. We introduce \textbf{PrivDrift}, a benchmark for auditing whether user-disclosed secrets remain recoverable after conversational topic drift and persuasion-based probing. PrivDrift contains 1{,}000 controlled multi-turn dialogues with seeded secrets, content-dense drift…
- Hacker News · Posted on Hacker News · First archived
Meta puts its AI assistant on a keychain ↗
Hacker News discussion.
- GitHub · Repository created · First archived
zouyuxuan122/dsh-our-free-model ↗
在 dsh 里装上这个插件即可，无需登录、注册或填 API Key，就能使用包括 Muse Spark 1.3、MiMo V2.6 在内的前沿模型——完全免费，不限量。 All you do is install this plugin in dsh: no login, no sign-up, no API key — the frontier models are just there, Muse Spark 1.3 and MiMo V2.6 among them. Completely free, with no usage cap.
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.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.