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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 ↗5912 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.
- GitHub · Repository created · First archived
mohamedabdou-ai/reel-studio ↗
حوّل شرحك وحلقتك لريلز على ذوقك، بكابشن عربي وموشن يوضح الفكرة.
- Hacker News · Posted on Hacker News · First archived
Share error solutions, save AI-developer time ↗
Hacker News discussion.
- GitHub · Repository created · First archived
xjokerabab/second-world-posters ↗
「第二世界」AI 海报作品集：上半真实照片，下半纸上延续 | A curated collection of "Second World" AI posters
- GitHub · Repository created · First archived
FriedOnion2/agent-relay-portable ↗
Local conversation migration and portable conversation/Skill storage for WorkBuddy, DSH, CodeBuddy, Claude Code/SDK and Codex. Windows, macOS and Linux.
- Hacker News · Posted on Hacker News · First archived
Streaming an LLM chat across a TypeScript/Python boundary: the details that bite ↗
Hacker News discussion.
- arXiv · Published · First archived
DSTNet: Dynamic Spectral Trajectory Network for Causal Multi-Horizon Financial Forecasting ↗
Wavelet-based financial forecasters typically use the transform only to denoise, or reduce it to a single spectral snapshot at the forecast origin, and the convolution that produces the coefficients is usually bilateral, so it can read past the forecast origin. DSTNet instead retains the recent evolution of filter-bank magnitudes as a causal Dynamic Spectral Trajectory, built from seven trailing technical indicators over a twenty-day lookback with a one-sided Morlet-derived filter bank and an explicit burn-in for the left-boundary transient. A factorized Scale-Temporal Spectral Transformer att…
- Hacker News · Posted on Hacker News · First archived
Ask HN: Anyone did workshops for students on using agents/Claude Code? ↗
I have a series if workshops on a business university with 4th year students. I have two hours with them and I wonder what exercises I could give a group of 10 during class to make them understand and play around with Claude Code - to show them how it’s different to chat in practice. The challenges I’m facing: - they have their own laptops, so each is a different OS with different settings. Ideas around this? - Ideas for tasks that would be doabl…
- Hacker News · Posted on Hacker News · First archived
Forever Junior: The Skills AI Can't Develop for You ↗
Hacker News discussion.
- arXiv · Published · First archived
Residual Learning in Empirical Asset Pricing ↗
Shallow models are special cases of deep models, and deep models theoretically have the potential to outperform the shallow ones. However, the existing empirical asset pricing literature provides strong benchmarks for shallow models. Residual learning allows neural network models in asset pricing to go deeper by preserving and refining their shallow counterparts. The out-of-sample Sharpe ratio for value-weighted long-short portfolios of deep residual models (2.07) is higher than that for the corresponding shallow ones (1.92) and more than twice that of the deep feedforward models (0.89). We sh…
- Hacker News · Posted on Hacker News · First archived
High Interest Rates Aren't Slowing AI Boom ↗
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.