惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

月光博客
月光博客
Martin Fowler
Martin Fowler
博客园_首页
量子位
T
Tailwind CSS Blog
博客园 - Franky
G
Google Developers Blog
D
DataBreaches.Net
Vercel News
Vercel News
B
Blog
Recent Announcements
Recent Announcements
S
SegmentFault 最新的问题
M
MIT News - Artificial intelligence
爱范儿
爱范儿
博客园 - 【当耐特】
The Cloudflare Blog
H
Help Net Security
云风的 BLOG
云风的 BLOG
P
Proofpoint News Feed
C
Check Point Blog
有赞技术团队
有赞技术团队
Microsoft Security Blog
Microsoft Security Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More

Hacker News: Front Page

SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads Introducing Claude Opus 4.7 Qwen Studio The Future of Everything is Lies, I Guess: Where Do We Go From Here? GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis Ancient DNA reveals pervasive directional selection across West Eurasia [pdf] AI cybersecurity is not proof of work Moving a large-scale metrics pipeline from StatsD to OpenTelemetry / Prometheus GitHub - Nightmare-Eclipse/RedSun: The Red Sun vulnerability repository GitHub - SethPyle376/hiraeth: Local AWS emulator focused on fast integration testing, with SQS support, SQLite-backed state, and a debug-friendly web UI. A Better Ludum Dare; Or, How to Ruin a Legacy GitHub - macOS26/Agent: Any AI, replaces Claude Code, Cursor, OpenClaw. Over 18 LLM providers (Claude, OpenAI, Gemini, Ollama, Zai, HF, Qwen) wired into a native Mac app that writes code, builds Xcode projects, bumps versions, manages git, automates Safari, use AppleScript, JS or Accessibility, extend Agent! w/ MCP Servers, run tasks from your iPhone via Messages. YouTube now lets you turn off Shorts I Made a Terminal Pager Burgers | マクドナルド公式 Commands — HackerNews CLI documentation ChatGPT for Excel PiCore - Raspberry Pi Port of Tiny Core Linux Live Nation illegally monopolized ticketing market, jury finds Google Broke Its Promise to Me. Now ICE Has My Data. Founding Engineer at Adaptional | Y Combinator CRISPR takes important step toward silencing Down syndrome’s extra chromosome GitHub - saffron-health/libretto: The AI toolkit for building reliable browser automations US v. Heppner (S.D.N.Y. 2026) no attorney-client privilege for AI chats [pdf] Unexpected €54k billing spike in 13 hours: Firebase browser key without API restrictions used for Gemini requests Fragments: April 14 Cal.com Goes Closed Source: Why AI Security Is Forcing Our Decision | Cal.com - Scheduling Software for Online Bookings Laravel raised money and now injects ads directly into your agent Codex Hacked a Samsung TV
GPT‑NL: a sovereign language model for the Netherlands
2026-06-17 · via Hacker News: Front Page

GPT‑NL values

We are building a responsible language model for the Dutch language and context: trustworthy, transparent, reciprocal and sovereign.

Sovereign: control over technology that matters

GPT‑NL is developed within the Netherlands and Europe. This gives us full control over the model, the data and the choices we make. We avoid dependency on non‑European providers and invest in a sustainable AI ecosystem aligned with our laws, values and societal goals.

Open and transparent: insight from source to model

GPT‑NL is built on transparency. We clearly document the choices we make during data collection and training, and how we address risks such as bias and ethical concerns. We publish the source code as open source and share detailed insights into the dataset. Model weights are made available under a controlled licence. This allows us to know who uses the model and to inform users about updates or changes, for example following a data opt‑out. In this way, we operate transparently without compromising security or regulatory compliance.

Trustworthy: protecting users and citizens

We train GPT‑NL entirely from scratch. This prevents unclear data provenance, copyright risks or potential personal data from being inherited from existing models.

To ensure a reliable foundation, our data collection meets strict criteria:

  • Safeguarding intellectual property
  • Removing and anonymising personal data before model training
  • Excluding confidential information
  • Excluding harmful content
  • Avoiding duplication within the dataset

Reciprocal: fair agreements on data and value

GPT‑NL deliberately works with a clean and lawful data supply chain. We collaborate closely with data providers and actively involve them in the development of the model.

Through the Content Board, these data providers and rights holders have a voice in the future of GPT‑NL. Part of the revenues flows back to the creators. This creates a fairer innovation model in which value is shared rather than extracted.

Using resources efficiently

AI development requires significant computing power and energy. That is why we actively focus on energy efficiency and responsible use of resources. Based on scientific research, we optimise both the size of the model and the training process, with explicit attention to energy and water consumption.

Publicly funded, publicly accountable

GPT‑NL is funded by the Netherlands Enterprise Agency (RVO) on behalf of the Ministry of Economic Affairs and Climate Policy. A total of €13.5 million has been allocated to the project. This public investment underlines the importance of an independent, trustworthy and future‑proof Dutch language model.

GPT‑NL shows that powerful AI and public values can go hand in hand. Together, we are building technology that makes the Netherlands stronger, more autonomous and fairer.

Get inspired

48 resultaten, getoond 1 t/m 5

Impact Acceleration Challenge: Futureproof AI - Pitching and Ecosystem Building Day

Join us on Thursday, 18 June for the closing event of the Futureproof AI challenge where teams will pitch ideas and solutions for AI that is futureproof: sustainable and sovereign.

Startdatum:
Locatie:

World Trade Centre Amsterdam, Strawinskylaan 1, 1077 XW Amsterdam

How do you measure something that keeps changing? The challenge of evaluating generative AI

Balancing skepticism and blind trust: critical thinking as the key to responsible and effective use of GenAI

From reactive to proactive: How organisations gain control over GenAI governance

How TNO is leading the drive towards sovereign, responsible Dutch AI