免費 / 開源由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI,token 成本極低。
Aquin 每月有 0 次造訪,月增率 0%,定價模式為需聯絡報價。Headstarter 每月有 1,665 次造訪,成長率 +32%,定價模式為需聯絡報價。
Aquin (Aquin Labs) is an AI research organisation working on interpretability and applied prediction. Its core project, Aleph, is positioned as a universal predictor for applied ML, data science and annotation work, producing schema-bound outputs such as probabilities, labels, boxes and scores that programs can consume. Alongside it the lab publishes research on attention circuits, weight editing and self-learning developer agents.
| 面向/指標 | ![]() | |
|---|---|---|
| 官方網域 | aquin.app | theheadstarter.com |
| 定價模式 | 需聯絡報價 | 需聯絡報價 |
| 每月造訪次數 | 0 (0) | 1665 (1,665) |
| 月流量變化量 | 0 (0%) | +404 (+32%) |
| 主要市場與市佔 | 🌐 全球 (—) | 🌐 全球 (—) |
| 每月直接造訪 | 0 | 498 |
| 使用者評分 | 4.1 | 4.4 |
| 支援平台 | 網站 | 網站 |
Aquin (Aquin Labs) is an AI research organisation working on interpretability and applied prediction. Its core project, Aleph, is positioned as a universal predictor for applied ML, data science and annotation work, producing schema-bound outputs such as probabilities, labels, boxes and scores that programs can consume. Alongside it the lab publishes research on attention circuits, weight editing and self-learning developer agents.
A single base that handles tables, media, annotation and decision tasks, with the option to fine-tune toward your specific data.
Outputs are typed and scored rather than free text, so downstream programs can act on results and escalate low-confidence cases.
Treats attention as a routing map from a single forward pass, isolating a small subgraph aimed at the answer and testing it under ablation.
Agentic weight-editing experiments that localise causal layers, apply rank-one MLP updates and validate then roll back steps when checks fail.

Headstarter builds applied AI products that put agents and engineers to work on real problems and judge them on what they ship. It spans offensive-security agent training, model interpretability tooling, AI-assisted coding, and agent-driven hiring for startups.
Build realistic networks — web apps, file shares, databases and internal hosts — for training and evaluating offensive-security agents under rules of engagement.
Load any open model, run it offline on your own GPU, inspect which neurons fire per word, then edit and serve the modified model via an OpenAI-compatible API.
Work across repositories, talk to your code by voice, and let agents plan, edit, test and open pull requests from the browser, with every session traced and scored.
Agents search engineers' real work across GitHub and LinkedIn and score candidates against the role, producing a ranked shortlist with evidence.
免費 / 開源由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI,token 成本極低。
免費 / 開源用 AI 代理把優秀人才與雄心企業直接對接
Arc 認證遠端人才市場中的 AI 候選人配對
以公開網路資料為基礎、每條資訊皆可溯源的對象人物側寫