webAI @thewebAI
Sovereign AI for enterprises. Build AI you own on infrastructure you control. Private, specialized models that run where your data lives. linktr.ee/thewebai Austin, TX Joined May 2022-
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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 meant to serve. Here’s what we think AI policy should stand for: – Empowerment over extraction – Control belongs with the user – The strongest intelligence is distributed and specialized – AI should be a utility for everyday work and life – AI policy should reward practical, broadly shared value Read the full piece: webai.com/blog/what-weba…
AI 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."
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." Read the full article: theinformation.com/articles/apple…
"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 alternative looks like.
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
Full demos and write-ups for each winner coming over the next week. Stay tuned. Big shoutout to our co-hosts HackAI, AITX, and Antler for hosting our kickoff events in Austin. Couldn't have pulled it off without them.
The winners of our first YOLO26 MLX Build Challenge are in. 7 days. 4 tracks. 4 wins. Here's what builders shipped 🛠
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…
@Velcrafting @webai @spurs @Davidstout @hosseintheog @csebsc @srkuiper @TylerMauer4 this looks awesome!
Side 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
@Velcrafting yes - it’s not only for the in-person event. anyone can join!
Our first open source build challenge starts Monday. 7 days. 4 tracks. $4K in prizes. Build something with YOLO26 MLX, our open source object detection model built for Apple Silicon. Two kickoff events in Austin: 🗓 Mon 5/18 with Hack AI (Capital Factory): luma.com/io3nuky7 🗓 Tue 5/19 with @aitxcommunity + @AntlerGlobal: luma.com/webai-yolo Full brief and how to join: webai.discourse.group/t/the-yolo26-m…
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 is not just a technical decision. It is a national security one. Watch the full segment on CNBC: cnbc.com/video/2026/05/…
Jason Rathje, President of Public Sector at @thewebAI, says the U.S. must develop distributed AI systems and reduce reliance on centralized cloud infrastructure as competition with China intensifies. $NVDA $MSFT $GOOGL $AMZN $TSLA cnbc.com/video/2026/05/…
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 models on Hugging Face: ColVec1-9B: huggingface.co/webAI-Official… ColVec1-4B: huggingface.co/webAI-Official…
8/ 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.
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