16:[[47995037,{"by":"bring-shrubbery","descendants":46,"id":47995037,"kids":[47997730,47996413,47996194,47999648,47996007,47996508,47999850,47997752,47996977,48003143,48017154,47996708,47997406,48002824,47997877,47995061,47995916,48017177,48021412,47999892,47996524,47996958,47995505,47996441,47996646],"score":185,"text":"Hi HN, author here. SHARP is Apple's recent single-image 3D Gaussian splatting model (https://arxiv.org/abs/2512.10685). 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.

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.

Caveats: SHARP's released weights are research-use only (Apple's model license, not the code's). I host the exported ONNX on R2 so thedemo "just works", but you can also export your own from the upstream Apple repo and upload locally.

Happy to talk about it in the comments :)","time":1777799696,"title":"Show HN: Apple's SHARP running in the browser via ONNX runtime web","type":"story","url":"https://github.com/bring-shrubbery/ml-sharp-web"}],[47994012,{"by":"brendanmc6","descendants":295,"id":47994012,"kids":[47994080,47996548,47994757,47994970,47994809,47995590,47996257,47994433,47994416,47994602,47994926,47994423,48000270,47996546,47994502,47995728,47994548,47996854,47995586,47997818,47994796,47996569,47997230,47996125,47998497,47994713,47994214,47994715,47995308,47995370,47997021,48002070,47995743,47994492,47995092,47999637,48001093,47995293,47997555,47995219,47996447,47994999,47994788,47995258,47994846,47995805,47994760,47994738,47995064,47995948,47995603,47996864,47997763,47995695,47996001,47997030,47995722,47995892,48000639,47995498,47995619],"score":287,"time":1777790018,"title":"Specsmaxxing – On overcoming AI psychosis, and why I write specs in YAML","type":"story","url":"https://acai.sh/blog/specsmaxxing"}],[47982708,{"by":"lahfir","descendants":44,"id":47982708,"kids":[47983478,47983530,47984412,47988024,47983951,47986184,48047463,47984209,47983840,47983975,48038630,47983788,47984219,48103854,47984176,47990248,47983364,47983793,47982709,47985008,47985005,47983814,47983520],"score":99,"text":"$17","time":1777688304,"title":"Show HN: Agent-desktop – Native desktop automation CLI for AI agents","type":"story","url":"https://github.com/lahfir/agent-desktop"}],[47960507,{"by":"steveharing1","descendants":209,"id":47960507,"kids":[47960682,47960866,47961589,47960689,47964271,47961690,47960815,47961516,47961613,47964402,47961924,47960970,47976813,47969822,47962619,47960971,47961399,47970752,47967911,47965349,47965405,47960646,47960659,47965195,47972941,47961551,47973902,47961480,47962186,47961425,47965140,47961124],"score":328,"text":"https://research.ibm.com/blog/granite-4-1-ai-foundation-mode...","time":1777545077,"title":"Granite 4.1: IBM's 8B Model Matching 32B MoE","type":"story","url":"https://firethering.com/granite-4-1-ibm-open-source-model-family/"}],[47939320,{"by":"translocator","descendants":114,"id":47939320,"kids":[47940085,47941199,47939968,47940151,47945702,47940225,47941152,47950452,47940191,47945779,47939990,47940656,47951164,47939636,47946446,47944703,47942722,47941886,47945109,47946543,47942446,47941071],"score":326,"text":"https://aws.amazon.com/bedrock/openai/

https://www.aboutamazon.com/news/aws/bedrock-openai-models

https://openai.com/index/openai-on-aws/

https://x.com/amazon/status/2049178618639839427","time":1777404283,"title":"OpenAI models coming to Amazon Bedrock: Interview with OpenAI and AWS CEOs","type":"story","url":"https://stratechery.com/2026/an-interview-with-openai-ceo-sam-altman-and-aws-ceo-matt-garman-about-bedrock-managed-agents/"}],[47921248,{"by":"helsinkiandrew","descendants":845,"id":47921248,"kids":[47923805,47921551,47922120,47922477,47925421,47922022,47921511,47925160,47922383,47926909,47921995,47930160,47925637,47921267,47921287,47924759,47925814,47923581,47926814,47921718,47922446,47923395,47922454,47923370,47921772,47921252,47921769,47921711,47931708,47922058,47926220,47925888,47931709,47927373,47926174,47931931,47924679,47925570,47930909,47931763,47925907,47924571,47928218,47926708,47935143,47922834,47932375,47929924,47921662,47925286,47921792,47921886,47925248,47923734,47938319,47929738,47929683,47926878,47924193,47924796,47921854,47923995,47921270,47921797,47921285,47921840,47934536,47935835,47930785,47935229,47924062,47921715,47928188,47921816,47923649,47929969,47924123,47929394,47929268,47923418,47921832,47929862,47923796,47924682,47921499],"score":990,"text":"Gift Article: https://www.bloomberg.com/news/articles/2026-04-27/microsoft...

https://openai.com/index/next-phase-of-microsoft-partnership...

https://x.com/ajassy/status/2048806022253609115","time":1777296162,"title":"Microsoft and OpenAI end their exclusive and revenue-sharing deal","type":"story","url":"https://www.bloomberg.com/news/articles/2026-04-27/microsoft-to-stop-sharing-revenue-with-main-ai-partner-openai"}],[47910388,{"by":"kmdupree","descendants":181,"id":47910388,"kids":[47912620,47911054,47912207,47911111,47915077,47911216,47911321,47910981,47911532,47911108,47913000,47910902,47912078,47918395,47915856,47911011,47912111,47912525,47912570,47911062,47912626,47910869,47911060,47911261,47919363,47913763,47912208,47911010,47911561,47911641,47911488,47911074,47917049,47916771,47911147,47919137,47911362,47912306,47920887,47913897,47917586,47912342,47943494,47920401,47918801,47918951,47917024,47981765,47911715,47914125,47912723,47911918,47910915],"score":343,"time":1777211893,"title":"SWE-bench Verified no longer measures frontier coding capabilities","type":"story","url":"https://openai.com/index/why-we-no-longer-evaluate-swe-bench-verified/"}],[47907018,{"by":"zdkaster","descendants":68,"id":47907018,"kids":[47907779,47907019,47912871,47908326,47908514,47976517,47907893,48058065,47908312,47908847,47919562,47928615,47908783,47908395,47907810],"score":174,"time":1777173902,"title":"GnuPG – post-quantum crypto landing in mainline","type":"story","url":"https://lists.gnupg.org/pipermail/gnupg-announce/2026q2/000504.html"}],[47906253,{"by":"_-x-_","descendants":188,"id":47906253,"kids":[47907806,47906830,47908058,47907426,47907196,47907152,47907855,47912376,47907776,47911138,47906638,47907794,47907410,47907142,47908805,47906499,47907399,47907789,47917001,47907310,47907594,47907565,47906567,47907502,47914655,47908328,47918210,47912590,47910995,47906974,47907637,47911283,47907713,47912518,47914513,47908065,47907587,47906677,47907408,47908628,47910090,47909955,47907804,47911912,47906542,47908683,47906303,47908084,47913013,47914217,47907537,47911240,47907793,47908732,47914207,47911468,47909086,47911093,47907201,47910339,47906481,48039082,47908844,47908533,47907859,47906754,47907057,47909545],"score":593,"text":"Every day for the past 3 days around 1pm EST the 'Headspace' app has been silently appearing on my iPhone (13 Pro). Automatic downloads are turned off and I've updated to the latest iOS since this started happening.

I googled around and found a couple reddit threads with people reporting the exact same thing starting 2 or 3 days ago. There were reports from people on iPhone 12 and iPhone 17 so it doesn't seem device-specific.

Anyone else seeing this? Does anyone understand how or why this is happening?","time":1777164656,"title":"Tell HN: An app is silently installing itself on my iPhone every day","type":"story"}],[47903126,{"by":"pr337h4m","descendants":560,"id":47903126,"kids":[47906766,47906734,47907544,47907510,47910406,47907254,47910223,47906945,47910493,47907093,47908365,47906805,47912141,47910310,47907790,47907886,47908389,47908608,47908009,47909768,47907328,47910475,47906943,47929458,47907217,47908367,47908590,47907324,47909785,47910285,47906812,47910865,47927295,47909125,47906713,47910403,47911694,47907720,47907423,47909390,47906861,47910637,47908140,47907954,47908840,47907024,47912471,47907705,47909325,47908887,47907856,47928574,47906822,47906885,47908185,47907400,47907978,47907366,47906969,47906779,47907064,47907546],"score":796,"text":"https://www.erdosproblems.com/1196","time":1777138838,"title":"Amateur armed with ChatGPT solves an Erdős problem","type":"story","url":"https://www.scientificamerican.com/article/amateur-armed-with-chatgpt-vibe-maths-a-60-year-old-problem/"}]]

user:	tokenhub_dev
created:	April 26, 2026
karma:	16