Why? – Risk comes from capability asymmetry between attackers and defenders. Open source is what every frontier lab already trains on so defenders get the same AI firepower as attackers. With proprietary code, you're on your own. The biggest risk is someone training a model on
@clementdelangue
-
Closed-Source Projects Face 10x Higher Risk Than Open-Source
By
–
In a mythos world (which we are already in), closed-source projects will be 10x more at risk than open-source projects!
-
Hugging Face Becomes Platform for AI Agents and Automation
By
–
Hugging Face is becoming the platform for agents to use and build AI. Now they can call 1M HF spaces to do everything the latest specialized models can do! pic.twitter.com/8VHxutX1PD
— clem 🤗 (@ClementDelangue) 18 avril 2026Hugging Face is becoming the platform for agents to use and build AI. Now they can call 1M HF spaces to do everything the latest specialized models can do!
-
Cloud Providers and Latest AI Models Availability
By
–
not sure if they run the latest models though cc @olesovhcom @OVHcloud @aude_drn @Scaleway
-
Beta Testing Robotics Dataset Hosting Features
By
–
Looking for some beta testers for our new robotics dataset hosting features. Who's currently hosting large robotics datasets and would be down to try?
-
Scaleway vs OVHCloud: Hugging Face Inference Providers Comparison
By
–
https://
huggingface.co/docs/inference
-providers/en/providers/scaleway
… or https://
huggingface.co/docs/inference
-providers/en/providers/ovhcloud
…? -
Open Source Security Advantages Over Closed Source
By
–
N’importe quoi! L’open source est par défaut moins sensible aux attaques que le close-source et ça va aussi être bcp plus facile de trouver les failles et patcher pr les maintainers/platformes de type github/hf
