Mercedes-Benz commits to bringing back physical buttons

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Hi HN, author here. SHARP is Apple&#x27;s recent single-image 3D Gaussian splatting model (<a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2512.10685" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2512.10685</a>). Their reference code is PyTorch + a pretty heavy pipeline; I wanted to see if it could run in a browser with no server hop, so I exported the predictor to ONNX and ran it via onnxruntime-web with the WebGPU EP.<p>What works: drop in an image, get a .ply you can download or preview live, all on your machine — your image never leaves the tab. The model is large (~2.4 GB sidecar) so first load is slow on a cold cache, but inference itself is a few seconds on a recent Mac.<p>Caveats: SHARP&#x27;s released weights are research-use only (Apple&#x27;s model license, not the code&#x27;s). I host the exported ONNX on R2 so thedemo &quot;just works&quot;, but you can also export your own from the upstream Apple repo and upload locally.<p>Happy to talk about it in the comments :)

Show HN: Apple's SHARP running in the browser via ONNX runtime web

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After years of flying Southwest, I recently had the opportunity to tour the headquarters in Dallas. I particularly enjoyed seeing the full-motion 737 simulators, Network Operations Center, and TechOps maintenance hangar up close.

Southwest Headquarters Tour

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