Good move by @JensenHuang. The Nvidia letter is well written and worth reading. As we saw with the OpenAI-Hugging Face hack, we need open models and harnesses for defense.
Lets stop believing the PR that closed models are safer. - that's just regulatory capture.
Kimi K3 is now available on Ollama’s cloud.
To use it with Claude Code, run:
ollama launch claude --model kimi-k3:cloud
Currently Kimi K3 requires a Pro or Max subscription, and consumes extra usage credits. We’re quickly working on adding capacity to expand access.
Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community.
During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion.
That’s why we created the Open Secure AI Alliance.
Open models matter.
Ollama works hard with the model creators, hardware partners, and most importantly developers building software leveraging various open models for their own use cases.
El ClaudeBot de Anthropic envió 25.000+ requests a un sitio que mapea organizaciones sociales de Valparaíso. 5 IPs, cero respeto por crawl limits. Labs de IA raspeando para entrenamiento no es innovación, es explotación. ¿Quién regula esto?
- 2016-2024: 🇺🇸leads in open-source AI
- 2024-2027: 🇺🇸 leads in general AI & massively benefits
- 2024-2026: 🇨🇳 leads in open-source AI
- 2026-2030: ??
It's not open-source AI leadership OR general AI leadership, it's open-source AI leadership BEFORE general AI leadership!
Open-source AI is the foundation of all AI. It does not only creates more innovation, competition, jobs, and prosperity now, it's also the best (only?) way for a national tech ecosystem to accelerate and ultimately reach the frontier of AI in general.
Because open-source AI reduces siloes, shares learning and innovation, intensify emulation which all lead to an acceleration of the local ecosystem progress that no others can match if they're less open and collaborative.
Same seems to be true for companies btw, OpenAI/Google started with open science and open-source AI which led to their (and Anthropic who spun off from OAI) domination. Meta could have done the same but decided to change course for some reason.
🚀GeoLibre just passed 1,000 stars on GitHub, in only three weeks!
I am blown away. GeoLibre went public on May 27, and the community has already pushed it past 1,000 stars and 140+ forks. Thank you to everyone who starred, forked, filed issues, opened pull requests, and shared the project.
For those just discovering it: GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private.
A few things that have resonated with the community:
- Runs anywhere: the same app ships as a native desktop app, a browser web app, a native Android app, and a Jupyter widget.
- Local and private by default: load and analyze GeoJSON, GeoParquet, GeoPackage, Shapefile, COG, LiDAR, 3D Tiles, and more, right in the browser.
- Powered by open source: built on MapLibre GL JS, DuckDB-WASM Spatial, https://t.co/Iu3zs18eJk, Tauri, React, and TypeScript.
- Spatial SQL in the browser: query your data with DuckDB Spatial, PostGIS via PGlite, and Apache Sedona.
- Extensible: a growing plugin system for cloud data, federal web services, and custom tools.
Three weeks in, we have already shipped five releases, the latest being v1.5.0. There is a lot more on the roadmap, and the best way to shape it is to jump in.
Try it out
- Live demo: https://t.co/hOVekblXMc
- GitHub: https://t.co/VXq8c1o2Nd
- Documentation: https://t.co/7VA2AQoCUc
If GeoLibre is useful to you, a star on GitHub and a share here go a long way. Thank you for an incredible first three weeks.
#GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python
Bro I'm so sick of pretending this isn't weird.
The internet spent 20 years creating tutorials, open-source projects, blog posts & answers for free.
AI companies turned all of it into products worth billions.
And now the same people who created that knowledge are being told they're replaceable.
We built the library.
Someone else started charging admission.
Nous Research. Recopila prompts, llamadas a herramientas y conversaciones. Entrenan con ello y comparten con socios e investigadores. No se menciona ninguna opción de exclusión. No hay prohibición de vender datos. Política + permisiva.
Experimentamos, informamos. #BuildInPublic
Comparamos las políticas de privacidad de 6 proveedores de IA: Ollama Cloud, Together AI, OpenRouter, Anthropic, OpenAI y Nous Research. Las leímos para que tú no tengas que hacerlo. Aquí está el leaderboard. #PrivacyFridays
OpenAI. Opción de exclusión disponible y modo chat temporal. Buenos controles de datos. Pero entrenamiento por defecto con consentimiento (opt-in), y política de privacidad del consumidor no cubre el uso de API/empresarial, aplican acuerdos separados. Conoce en qué nivel estás.