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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 ↗6041 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
Chalkboard and Avatar for AI Agents ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Give your AI agent awareness of what's happening around you ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
wmaousley/MiniCrit-1.5B — model update ↗
# MiniCrit-1.5B **Adversarial financial-critic LLM for trading-rationale evaluation.** > **Research artifact. Not evaluated.** An earlier version of this card reported > forward-test and classification metrics that are not supported by any retained > evaluation record. Those figures have been withdrawn, including the structured > `model-index` results. See [Evaluation status](#evaluation-status). MiniCrit-1.5B is an adversarial financial-critic model trained to evaluate and rebut trading rationales produced by other language models. It is intended as a **validator layer** for systems where wea
- Hugging Face · Model / dataset date · First archived
j23h67/compute-multipliers-checkpoints — model update ↗
# Pretraining progress is mostly coming from data: checkpoints, data and code The trained models, evaluation data and code behind [*Pretraining progress is mostly coming from data*](https://www.dwarkesh.com/p/pretraining-progress-is-mostly-data) (Dwarkesh Patel and Jerry Han, 2026). How much of the progress in pretraining from 2019 to 2025 has come from data versus model improvements? For each year we take a year-representative open model recipe (GPT-2 to OLMo-2) and a year-representative public data corpus (OpenWebText to Ultra FineWeb), and train combinations of them from scratch at compute
- Hacker News · Posted on Hacker News · First archived
How the bad science of AI doomerism is good for big business ↗
Hacker News discussion.
- GitHub · Repository created · First archived
VinkyDev/vibestart ↗
Compose a full-stack TypeScript stack and get a cutting-edge, verified project made for AI coding agents, with type safety, lint, and tests built in. | 自由组合全栈 TypeScript 技术栈，得到一个前沿、经过验证、为 AI 编码智能体打造的项目，内置类型安全、lint 与测试。
- GitHub · Repository created · First archived
TannerMidd/pi-pocket ↗
A durable, multiplayer, mobile-first web app for Pi agents, built on Pi Durable
- Hacker News · Posted on Hacker News · First archived
OpenAI's latest features take direct aim at the app store model ↗
Hacker News discussion.
- GitHub · Repository created · First archived
mxreal64/StepLock ↗
A sub-millisecond, zero-allocation deterministic state proxy and Merkle DAG execution engine for multi-step AI agents. Features time-travel branching and dynamic TLS MITM packet virtualization via .NET 11 Pipelines.
- Hacker News · Posted on Hacker News · First archived
AI has Improved Lives: A collection ↗
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.