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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 ↗5189 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
Show HN: GPT-2 124M trained from scratch – 2.48B tokens, 2.8h on 4 A40s ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Simons Foundation launches $15M effort to help mathematicians navigate AI era ↗
Hacker News discussion.
- arXiv · Published · First archived
Stateful Testing for Deep Learning Compilers ↗
Modern deep learning compilers compile models lazily and cache artifacts across invocations. Retained compiler state can make a later invocation incorrect even when it is correct in isolation. An analysis of 26 publicly reported issues in PyTorch, JAX, and TensorFlow shows that detecting such bugs requires sequences that first establish compiler state and then expose a failure. We present Rondo, a stateful testing method that represents each test case as a model paired with an invocation sequence. Rondo mutates invocation sequences and uses a Markov chain Monte Carlo sampler guided by compilat…
- Hacker News · Posted on Hacker News · First archived
Using AI to reverse engineer hardware ↗
Hacker News discussion.
- GitHub · Repository created · First archived
alonehobo/ai-assistant-1c ↗
ИИ-ассистент для 1С:Предприятие 8.3 — расширение конфигурации (CFE): чат с LLM по данным базы, отчёты, маскирование, изменение данных с подтверждением
- Hacker News · Posted on Hacker News · First archived
The AI boom's next bottleneck is money, not chips ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
What AI's Mathematical Breakthroughs Mean for Specialised Models ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Build an Automatic AI Accountant with Muse, Unsiloed, and Jev ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Cedric, the AI teammates that works in Slack and joins meetings ↗
We built Cedric so anyone within a team, technical or not, could automate repetitive work through conversation. It works in Slack, Discord, Telegram, or your browser, connects to thousands of tools. It shares a team memory with access controls, and joins meetings from which it can trigger actions. Looking forward to your feedback!
- Hacker News · Posted on Hacker News · First archived
The security architecture customer-facing agentic apps need ↗
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.
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.