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webAI
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Sovereign AI for enterprises. Build AI you own on infrastructure you control. Private, specialized models that run where your data lives.
- AI policy should not be defined only by what frontier labs, cloud platforms, and centralized model providers believe is best. webAI has a different view: ownership, local control, distributed intelligence, practical deployment, and a focus on the people and institutions AI is
- webAI repostedAI data centers bring environmental & security concerns. Jason Rathje, president of public sector, @thewebAI and former director, DoD Office of Strategic Capital: Anytime you centralize power, data, and now artificial intelligence, you create an acute threat for our adversaries."
00:00 - Intelligence is getting smaller. Our CEO @Davidstout was featured in @theinformation on why the data center boom is a mistake and where AI is actually headed. "Data centers won't disappear, but the majority of work will happen at the edge. Apple made the bet correctly there."
- "Any time you centralize power, data, and now artificial intelligence, you create an acute threat for our adversaries." Our President of Public Sector Jason Rathje was on @CNN This Morning talking about AI data centers, the strain they're putting on communities, and what a real
00:00 - HUGE thanks to every builder who shipped. Already planning the next one. Join our community to get in on the next challenge: community.webai.com #YOLOMLX
- Our YOLO26 MLX Build Challenge kicked off this week. Thanks to our co-hosts HackAI, AITX, and Antler for hosting us in Austin. 7 days. 4 tracks. $4,000 in prizes. Open to anyone in the US. Submissions due Sunday May 24. Full brief and how to enter: community.webai.com/t/the-yolo26-m…
- webAI repostedSide Quest: building/testing a Swift + MLX iOS implementation for the @webai YOLO26 MLX Challenge iPhone 16 Pro Max live test: - Live camera tracking overlays✅ - Still-image object detection✅ - On-device inference✅ - Early physical-device validation✅ Write-up coming soon
- Our President of Public Sector, Jason Rathje, was on CNBC's Morning Call this morning talking about the US/China AI arms race and what it's going to take for America to stay ahead. He made the point that distributed AI and reducing dependence on centralized cloud infrastructure
- Replying to @thewebAI8/ The loss function is proprietary. But the principle: force the model to create cleaner separation between the correct page and every competing page in the batch. Better embedding geometry. Cleaner ranking. Especially important when pages look semantically similar.9/ That approach earned two of the top three spots on ViDoRe V3: heterogeneous data, targeted rebalancing, efficient adaptation, and an objective built for ranking quality. We're open sourcing both models so anyone can build with them. Blog: webai.com/blog/webai-col… Try both















