[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-ef69c1e39cee6925-data-infrastructure-unlocks-physical-ai-scaling-summary":3,"summaries-facets-categories":75,"summary-related-ef69c1e39cee6925-data-infrastructure-unlocks-physical-ai-scaling-summary":3645},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":47,"date_modified":47,"description":40,"extension":48,"faq":47,"featured":49,"kicker_label":47,"meta":50,"navigation":57,"path":58,"published_at":59,"question":47,"scraped_at":60,"seo":61,"sitemap":62,"source_id":63,"source_name":64,"source_type":65,"source_url":66,"stem":67,"tags":68,"thumbnail_url":47,"tldr":72,"tweet":47,"unknown_tags":73,"__hash__":74},"summaries\u002Fsummaries\u002Fef69c1e39cee6925-data-infrastructure-unlocks-physical-ai-scaling-summary.md","Data Infrastructure Unlocks Physical AI Scaling",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",8052,1589,19034,0.0023824,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"physical-ais-data-bottleneck-vs-llm-abundance","Physical AI's Data Bottleneck vs. LLM Abundance",[22,23,24],"p",{},"Models perform only as well as their training data, but physical AI—robotics, self-driving cars, embodied systems—faces the inverse problem of LLMs. LLMs scaled via massive internet text data plus compute; physical AI has compute but scarce high-quality embodied data like video, sensor, and audio from real-world interactions. Errors in datasets propagate catastrophically in production: a hallucinating self-driving model crashes vehicles, unlike ChatGPT's low-stakes text errors. To hit scaling laws, robotics firms must collect proprietary data at scale, which is operationally complex without dedicated infrastructure. Humans remain essential at the frontier for tasks like laundry folding or dishwasher emptying, plus post-deployment exception handling where error tolerance is near-zero.",[17,26,28],{"id":27},"encords-end-to-end-data-flywheel-accelerates-model-to-market","Encord's End-to-End Data Flywheel Accelerates Model-to-Market",[22,30,31],{},"Encord provides a universal platform to create, manage, annotate, and evaluate multimodal data (video, images, text, audio, sensors), serving 300+ AI teams including Toyota and a YC laundry-folding robot firm already in production. Started pre-ChatGPT in YC Winter '21 as annotation automation for computer vision (replacing slow outsourcing to Philippines), it pivoted post-ChatGPT to multimodal physical AI after proving trust in AI via 'time micro models'—tiny specialist models trained on 2-3 examples for labeling. Key edge: consolidated view of the full pipeline from pre-training data collection to post-deployment observability yields network effects; customer models embed for pre-labeling, automating the stack. New Bay Area R&D facility lets robotics firms bring hardware to controlled environments for scalable data capture—impossible in-house at volume. Result: customers ship better models faster, focusing on hardware not data plumbing. Business scale: 150 employees across London\u002FSF, $110M raised ($60M Series C by Wellington).",[17,33,35],{"id":34},"capturing-the-trillion-physical-economy-opportunity","Capturing the $Trillion Physical Economy Opportunity",[22,37,38],{},"80% of global economy involves physical movement\u002Fwork, dwarfing digital AI investments. Encord aims to process all physical AI data like Stripe does payments, expanding to pre-training collection and post-deployment services. Post-ChatGPT, skepticism vanished; firms now automate aggressively. Faster-than-expected progress (e.g., production factory\u002Flogistics robots) signals humanoid home robots in years, not decades, mirroring self-driving hype-to-enlightenment arc. Hiring humans and AI agents (e.g., Slack-based solutions agent) across engineering\u002Fmarketing\u002Fsales. Founder lessons: Indecision costs more than wrong decisions—act fast to avoid 'interest' on delays. In stormy AI seas, know your distant island (vision) but tack with market waves, avoiding dogmatic beelines.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[],null,"md",false,{"content_references":51,"triage":52},[],{"relevance":53,"novelty":54,"quality":53,"actionability":54,"composite":55,"reasoning":56},4,3,3.6,"Category: Data Science & Visualization. The article discusses the challenges of data collection for physical AI, which is relevant to product builders in robotics and AI. It provides insights into how Encord's platform addresses these challenges, but lacks specific actionable steps for implementation.",true,"\u002Fsummaries\u002Fef69c1e39cee6925-data-infrastructure-unlocks-physical-ai-scaling-summary","2026-04-30 19:00:37","2026-05-03 16:47:45",{"title":5,"description":40},{"loc":58},"bc9e6eb01fe0a6c2","Y Combinator","article","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=cSBdukYWWxQ","summaries\u002Fef69c1e39cee6925-data-infrastructure-unlocks-physical-ai-scaling-summary",[69,70,71],"machine-learning","ai-tools","startups","Unlike LLMs with abundant internet data, physical AI lacks real-world embodied data, making specialized infrastructure like Encord's essential to collect, curate, and evaluate it for robotics 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This reduces data movement distances inside the chip, directly accelerating computations while lowering energy consumption. For AI workloads, which rely heavily on frequent data shuttling between processing units and memory, this design delivers outsized benefits—prototypes show 4x hardware performance improvements, with simulations projecting up to 12x gains in AI-specific tasks.",[22,3664,3665],{},"Builders targeting high-performance AI can prioritize this tech for edge devices like smartphones or servers, where latency and power efficiency determine viability. The shorter paths minimize bottlenecks in data-intensive operations, such as inference on large models, without needing architectural overhauls in software.",[17,3667,3669],{"id":3668},"us-prototype-proves-commercial-feasibility","US Prototype Proves Commercial Feasibility",[22,3671,3672],{},"A Stanford-led team fabricated a working prototype at SkyWater Technology's US foundry, marking a shift from research to manufacturable hardware. Unveiled at a 2025 tech conference, the demo highlighted real-world viability for AI acceleration across scales—from mobile devices to supercomputers. This US-based production sidesteps supply chain risks tied to overseas fabs, offering builders reliable access to next-gen silicon.",[22,3674,3675],{},"Key takeaway: Evaluate 3D chip adoption for AI products needing sustained performance under power constraints; early movers gain from cooler operation and sustainability edges in data centers or portables.",{"title":40,"searchDepth":41,"depth":41,"links":3677},[3678,3679],{"id":3658,"depth":41,"text":3659},{"id":3668,"depth":41,"text":3669},[105],{"content_references":3682,"triage":3688},[3683],{"type":3684,"title":3685,"author":3686,"context":3687},"other","Stanford-led 3D chip prototype","Stanford-led team","mentioned",{"relevance":53,"novelty":54,"quality":53,"actionability":53,"composite":3689,"reasoning":3690},3.8,"Category: AI & LLMs. The article discusses a significant advancement in chip technology that directly impacts AI performance, addressing a specific audience pain point regarding hardware limitations. It provides actionable insights for builders considering the adoption of 3D chips in their AI products, emphasizing the benefits of reduced latency and power efficiency.","\u002Fsummaries\u002Fc6f62a6674db3a69-monolithic-3d-chips-boost-ai-speed-12x-via-vertica-summary","2026-04-13 09:34:58","2026-04-13 17:53:13",{"title":3648,"description":40},{"loc":3691},"c6f62a6674db3a69","AI Simplified in Plain English","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fshocking-3d-chip-breakthrough-b79dd3bfd7a2?source=rss----f37ab7d4e76b---4","summaries\u002Fc6f62a6674db3a69-monolithic-3d-chips-boost-ai-speed-12x-via-vertica-summary",[69,70],"Monolithic 3D chips stack logic and memory vertically in one process, slashing data travel distances for 4x hardware performance in prototypes and up to 12x AI speed in simulations, enabling faster, greener AI devices.",[],"LeG_sizcuDQO3kgt_Z4Fw1kZKBs_EV4D1MKU32emINQ",{"id":3705,"title":3706,"ai":3707,"body":3712,"categories":3740,"created_at":47,"date_modified":47,"description":40,"extension":48,"faq":47,"featured":49,"kicker_label":47,"meta":3741,"navigation":57,"path":3767,"published_at":3768,"question":47,"scraped_at":3769,"seo":3770,"sitemap":3771,"source_id":3772,"source_name":3773,"source_type":65,"source_url":3774,"stem":3775,"tags":3776,"thumbnail_url":47,"tldr":3778,"tweet":47,"unknown_tags":3779,"__hash__":3780},"summaries\u002Fsummaries\u002F2b3da5eccbbf89bd-anthropic-bolsters-claude-for-legal-automation-boo-summary.md","Anthropic Bolsters Claude for Legal Automation Boom",{"provider":7,"model":8,"input_tokens":3708,"output_tokens":3709,"processing_time_ms":3710,"cost_usd":3711},5604,2224,28023,0.0022103,{"type":14,"value":3713,"toc":3735},[3714,3718,3721,3725,3728,3732],[17,3715,3717],{"id":3716},"claudes-legal-plugins-target-clerical-automation","Claude's Legal Plugins Target Clerical Automation",[22,3719,3720],{},"Anthropic's new plugins bundle functions to handle document search\u002Freview, case law access, deposition prep, and drafting across fields like commercial, privacy, corporate, employment, product liability, and AI governance. These expand Claude for Legal (launched earlier 2026) and integrate via model context protocol (MCP) connectors to law firm staples: DocuSign for document management, Box for file search, and Thomson Reuters' Westlaw for research. Available to all paying Claude customers, they enable direct AI interaction with proprietary data sources, accelerating adoption in knowledge work where early movers gain edges.",[17,3722,3724],{"id":3723},"startup-funding-signals-market-heat","Startup Funding Signals Market Heat",[22,3726,3727],{},"Legal AI competition intensifies with massive raises: Harvey (agentic workflows) secured $200M in March 2026 at $11B valuation, up from $8B months prior; Legora (similar automation) hit $600M Series D last month at $5.6B valuation, paired with Jude Law ad campaign for global push. These validate demand for AI to streamline 'byzantine' processes traditionally needing human teams, positioning the sector as Anthropic's fastest-growing vertical.",[17,3729,3731],{"id":3730},"ai-hallucinations-create-courtroom-risks","AI Hallucinations Create Courtroom Risks",[22,3733,3734],{},"Despite momentum, AI errors plague legal use: 18+ lawyers admitted generating flawed docs; a prestigious firm faced humiliation; California fined an attorney for ChatGPT-drafted appeal with fake quotes (first-of-kind 2025); federal judges issued AI-tainted rulings, prompting Senate scrutiny; AI-spun lawsuits now overwhelm courts with 'slop.' Firms must weigh efficiency gains against liability as pressure mounts to integrate AI.",{"title":40,"searchDepth":41,"depth":41,"links":3736},[3737,3738,3739],{"id":3716,"depth":41,"text":3717},{"id":3723,"depth":41,"text":3724},{"id":3730,"depth":41,"text":3731},[105],{"content_references":3742,"triage":3764},[3743,3746,3750,3753,3757,3759,3761],{"type":3684,"title":3744,"url":3745,"context":3687},"Anthropic unveils Claude Legal plugin and causes market meltdown","https:\u002F\u002Flegaltechnology.com\u002F2026\u002F02\u002F03\u002Fanthropic-unveils-claude-legal-plugin-and-causes-market-meltdown\u002F",{"type":3684,"title":3747,"url":3748,"context":3749},"Harvey reportedly raising at $11B valuation","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F02\u002F09\u002Fharvey-reportedly-raising-at-11b-valuation-just-months-after-it-hit-8b\u002F","cited",{"type":3684,"title":3751,"url":3752,"context":3749},"Legal AI startup Legora hits $5.6 valuation","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F04\u002F30\u002Flegal-ai-startup-legora-hits-5-6-valuation-and-its-battle-with-harvey-just-got-hotter\u002F",{"type":3754,"title":3755,"author":3756,"context":3687},"tool","Claude for Legal","Anthropic",{"type":3754,"title":3758,"context":3687},"DocuSign",{"type":3754,"title":3760,"context":3687},"Box",{"type":3754,"title":3762,"author":3763,"context":3687},"Westlaw","Thomson Reuters",{"relevance":54,"novelty":54,"quality":53,"actionability":41,"composite":3765,"reasoning":3766},3.05,"Category: AI & LLMs. The article discusses the launch of legal plugins for AI, which maps to the AI & LLMs category, but it primarily focuses on market trends rather than providing actionable insights for product builders. While it presents some new information about Anthropic's offerings, it lacks detailed practical applications for the audience.","\u002Fsummaries\u002F2b3da5eccbbf89bd-anthropic-bolsters-claude-for-legal-automation-boo-summary","2026-05-12 17:00:00","2026-05-13 12:01:03",{"title":3706,"description":40},{"loc":3767},"2b3da5eccbbf89bd","TechCrunch — AI","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F05\u002F12\u002Fthe-ai-legal-services-industry-is-heating-up-anthropic-is-getting-in-on-the-action\u002F","summaries\u002F2b3da5eccbbf89bd-anthropic-bolsters-claude-for-legal-automation-boo-summary",[3777,70,71],"llm","Anthropic launches legal plugins and MCP connectors for Claude to automate law firm tasks like document review and drafting, entering a market where Harvey raised $200M at $11B valuation and Legora secured $600M Series D at $5.6B valuation.",[],"li0GJZkYMC6oB5QDYL5KjcYcC_Aabhbqw1-IZo2xlSg",{"id":3782,"title":3783,"ai":3784,"body":3789,"categories":3815,"created_at":47,"date_modified":47,"description":40,"extension":48,"faq":47,"featured":49,"kicker_label":47,"meta":3816,"navigation":57,"path":3848,"published_at":3849,"question":47,"scraped_at":3850,"seo":3851,"sitemap":3852,"source_id":3853,"source_name":3773,"source_type":65,"source_url":3854,"stem":3855,"tags":3856,"thumbnail_url":47,"tldr":3858,"tweet":47,"unknown_tags":3859,"__hash__":3860},"summaries\u002Fsummaries\u002Ffc2286ef543af65e-dessn-design-prototypes-in-live-cloud-codebases-summary.md","Dessn: Design Prototypes in Live Cloud Codebases",{"provider":7,"model":8,"input_tokens":3785,"output_tokens":3786,"processing_time_ms":3787,"cost_usd":3788},5860,1982,23756,0.0021405,{"type":14,"value":3790,"toc":3811},[3791,3795,3798,3801,3805,3808],[17,3792,3794],{"id":3793},"zero-setup-cloud-code-execution-bridges-design-dev-gap","Zero-Setup Cloud Code Execution Bridges Design-Dev Gap",[22,3796,3797],{},"Dessn abstracts codebase dependencies to spin up repos in a production-like cloud environment without local setup, enabling designers to prompt AI-generated design variations directly on live code. This eliminates handoff friction: prototypes stay pixel-perfect and production-ready, as seen with customers like Color (health), Wispr (voice AI), and Mercury (fintech). Founders Gabriella Hachem and Nim Cheema built infrastructure to handle diverse backend architectures non-developers can access instantly, avoiding the limitations of tools requiring local runs.",[22,3799,3800],{},"Trade-off: Suited only for iterating on existing codebases, not ground-up ideation like v0 or Lovable. Free tier compiles one repo and allows five prompts weekly; paid starts at $39\u002Fuser\u002Fmonth for unlimited prompts, public links, and AI training opt-out.",[17,3802,3804],{"id":3803},"token-maximalist-prompts-over-static-toolbars","Token-Maximalist Prompts Over Static Toolbars",[22,3806,3807],{},"Dessn skips persistent toolbars, favoring contextual, AI-spun ones via prompts—co-founders embrace higher token spend for better results. Shareable links make collaboration easy, unlike Cursor or Claude Code, with no switching costs from Figma (users adopt per-project). Thesis: As code commoditizes (\"insanely cheap\"), design differentiates products; Dessn positions itself as Figma rebuilt for today's AI era, per investor Jordan Crook.",[22,3809,3810],{},"Team of four plans modest growth post-$6M seed (Connect Ventures lead, Betaworks\u002FN49P). No Figma integration to keep focus on production code; future plans include Slack for discussion-based prototyping and Granola for meeting notes to designs.",{"title":40,"searchDepth":41,"depth":41,"links":3812},[3813,3814],{"id":3793,"depth":41,"text":3794},{"id":3803,"depth":41,"text":3804},[126],{"content_references":3817,"triage":3844},[3818,3821,3824,3827,3829,3831,3833,3835,3837,3839,3841],{"type":3754,"title":3819,"url":3820,"context":3687},"Visual Electric","https:\u002F\u002Ftechcrunch.com\u002F2025\u002F10\u002F02\u002Fperplexity-acquires-the-team-behind-sequioa-backed-ai-design-startup-visual-electric\u002F",{"type":3754,"title":3822,"url":3823,"context":3687},"Weavy","https:\u002F\u002Ftechcrunch.com\u002F2025\u002F10\u002F30\u002Ffigma-acquires-ai-powered-media-generation-company-weavy\u002F",{"type":3754,"title":3825,"url":3826,"context":3687},"Flora","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F01\u002F27\u002Fnode-based-design-tool-flora-raises-42m-from-redpoint-ventures\u002F",{"type":3754,"title":3828,"context":3687},"Krea",{"type":3754,"title":3830,"context":3687},"Lovable",{"type":3754,"title":3832,"context":3687},"v0 by Vercel",{"type":3754,"title":3834,"context":3687},"Cursor",{"type":3754,"title":3836,"context":3687},"Claude Code",{"type":3754,"title":3838,"context":3687},"Granola",{"type":3754,"title":3840,"context":3687},"Figma",{"type":3754,"title":3842,"url":3843,"context":3687},"Dessn","https:\u002F\u002Fwww.dessn.ai\u002F",{"relevance":3845,"novelty":53,"quality":53,"actionability":53,"composite":3846,"reasoning":3847},5,4.35,"Category: Design & Frontend. The article discusses a new tool, Dessn, that allows designers to work directly with live codebases, addressing the design-development gap, which is a key concern for the target audience. It provides insights into how the tool operates and its implications for design workflows, making it actionable for those looking to integrate AI into their design processes.","\u002Fsummaries\u002Ffc2286ef543af65e-dessn-design-prototypes-in-live-cloud-codebases-summary","2026-05-12 13:00:00","2026-05-12 15:01:35",{"title":3783,"description":40},{"loc":3848},"fc2286ef543af65e","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F05\u002F12\u002Fdessn-raises-6m-for-its-production-focused-design-tool\u002F","summaries\u002Ffc2286ef543af65e-dessn-design-prototypes-in-live-cloud-codebases-summary",[70,3857,71],"ui-ux","Dessn runs existing codebases in the cloud with zero setup, letting designers prompt AI iterations directly in production for seamless dev handoffs—raised $6M to prioritize design as code commoditizes.",[],"M9dPuS66nGn3eq1NwXz99WCQ9FxmBAXVWn1DT5JrE2s",{"id":3862,"title":3863,"ai":3864,"body":3869,"categories":4040,"created_at":47,"date_modified":47,"description":40,"extension":48,"faq":47,"featured":49,"kicker_label":47,"meta":4041,"navigation":57,"path":4059,"published_at":4060,"question":47,"scraped_at":4061,"seo":4062,"sitemap":4063,"source_id":4064,"source_name":4065,"source_type":65,"source_url":4066,"stem":4067,"tags":4068,"thumbnail_url":47,"tldr":4069,"tweet":47,"unknown_tags":4070,"__hash__":4071},"summaries\u002Fsummaries\u002F2d4fed29fea91900-star-elastic-pack-30b-23b-12b-models-in-one-checkp-summary.md","Star Elastic: Pack 30B\u002F23B\u002F12B Models in One Checkpoint",{"provider":7,"model":8,"input_tokens":3865,"output_tokens":3866,"processing_time_ms":3867,"cost_usd":3868},9074,2939,32047,0.0032618,{"type":14,"value":3870,"toc":4034},[3871,3875,3878,3881,3885,3892,3895,3899,3902,3970,3974,3977,3980,4023,4030],[17,3872,3874],{"id":3873},"nested-weight-sharing-compresses-multiple-sizes-into-one-checkpoint","Nested Weight-Sharing Compresses Multiple Sizes into One Checkpoint",[22,3876,3877],{},"Train one 30B hybrid Mamba-Transformer-MoE parent model on 160B tokens to embed smaller 23B and 12B submodels as contiguous subsets of its highest-importance components. Rank embedding channels, attention heads, Mamba SSM heads, MoE experts, and FFN channels by contribution to accuracy using Router-Weighted Expert Activation Pruning (REAP), which weighs routing gates and output magnitudes over naive frequency pruning. A learnable end-to-end router takes a target budget (e.g., 2.8B active params) as one-hot input, outputs differentiable masks via Gumbel-Softmax, and trains jointly with knowledge distillation from the parent—penalizing budget deviations while maximizing accuracy. Use a two-stage curriculum: short-context (8K tokens, uniform budgets) then long-context (49K tokens, p(30B)=0.5, p(23B)=0.3, p(12B)=0.2), boosting AIME-2025 scores by up to 19.8% on smaller variants. Width compression (reducing dims\u002Fheads\u002Fexperts) recovers 98.1% baseline performance versus 95.2% for depth (layer dropping), so prioritize width for reasoning tasks.",[22,3879,3880],{},"This yields 360x fewer tokens than separate pretraining and 7x over sequential distillation, with all variants zero-shot slicable from one 58.9 GB BF16 checkpoint—versus 126.1 GB for independents.",[17,3882,3884],{"id":3883},"phase-specific-sizing-optimizes-reasoning-accuracy-latency","Phase-Specific Sizing Optimizes Reasoning Accuracy-Latency",[22,3886,3887,3888],{},"Ditch fixed-model token caps in ",[3889,3890,3891],"think",{}," phases: assign smaller nested models (e.g., 23B) to high-volume reasoning traces and larger (30B) to precise final answers in ℳS → ℳL configs. The 23B→30B setup beats Nemotron Nano v3 defaults by 16% accuracy at 1.9x lower latency, as reasoning tolerates capacity cuts but answers demand precision. Elastic-23B hits 85.63 on AIME-2025 (vs. Qwen3-30B-A3B's 80.00), matching or exceeding same-size independents on GPQA, LiveCodeBench v5, MMLU-Pro, IFBench, Tau Bench.",[22,3893,3894],{},"12B runs 2.4x throughput of 30B on H100 at BF16; NVFP4 12B hits 7,426 tokens\u002Fs (3.4x) on RTX Pro 6000.",[17,3896,3898],{"id":3897},"quantization-preserves-nesting-for-edge-deployment","Quantization Preserves Nesting for Edge Deployment",[22,3900,3901],{},"Apply Quantization-Aware Distillation (QAD) on the elastic checkpoint to maintain zero-shot slicing post-quant. FP8 PTQ recovers 98.69% BF16 accuracy on 30B; NVFP4 PTQ drops 4.12% but QAD (~5B tokens, 48K context) hits 97.79%. Single NVFP4 checkpoint: 18.7 GB (30B), enabling 12B\u002F8 GB on RTX 5080 (BF16 OOMs). Memory table:",[3903,3904,3905,3924],"table",{},[3906,3907,3908],"thead",{},[3909,3910,3911,3915,3918,3921],"tr",{},[3912,3913,3914],"th",{},"Variant",[3912,3916,3917],{},"30B",[3912,3919,3920],{},"23B",[3912,3922,3923],{},"12B",[3925,3926,3927,3942,3956],"tbody",{},[3909,3928,3929,3933,3936,3939],{},[3930,3931,3932],"td",{},"BF16",[3930,3934,3935],{},"58.9 GB",[3930,3937,3938],{},"44.0 GB",[3930,3940,3941],{},"23.2 GB",[3909,3943,3944,3947,3950,3953],{},[3930,3945,3946],{},"FP8",[3930,3948,3949],{},"31.4 GB",[3930,3951,3952],{},"23.7 GB",[3930,3954,3955],{},"13.0 GB",[3909,3957,3958,3961,3964,3967],{},[3930,3959,3960],{},"NVFP4",[3930,3962,3963],{},"18.7 GB",[3930,3965,3966],{},"14.1 GB",[3930,3968,3969],{},"8.0 GB",[17,3971,3973],{"id":3972},"load-and-serve-with-transformers-or-vllm","Load and Serve with Transformers or vLLM",[22,3975,3976],{},"Grab from HF: nvidia\u002FNVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-{BF16|FP8|NVFP4}. Use trust_remote_code=True for hybrid arch.",[22,3978,3979],{},"Transformers example:",[3981,3982,3986],"pre",{"className":3983,"code":3984,"language":3985,"meta":40,"style":40},"language-python shiki shiki-themes github-light github-dark","from transformers import AutoTokenizer, AutoModelForCausalLM\nimport torch\nmodel_id = \"nvidia\u002FNVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-BF16\"\ntokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)\nmodel = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True, torch_dtype=torch.bfloat16, device_map=\"auto\")\n# Generate with max_new_tokens=4096 for \u003Cthink> + answer\n","python",[3987,3988,3989,3997,4002,4007,4012,4017],"code",{"__ignoreMap":40},[3990,3991,3994],"span",{"class":3992,"line":3993},"line",1,[3990,3995,3996],{},"from transformers import AutoTokenizer, AutoModelForCausalLM\n",[3990,3998,3999],{"class":3992,"line":41},[3990,4000,4001],{},"import torch\n",[3990,4003,4004],{"class":3992,"line":54},[3990,4005,4006],{},"model_id = \"nvidia\u002FNVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-BF16\"\n",[3990,4008,4009],{"class":3992,"line":53},[3990,4010,4011],{},"tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)\n",[3990,4013,4014],{"class":3992,"line":3845},[3990,4015,4016],{},"model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True, torch_dtype=torch.bfloat16, device_map=\"auto\")\n",[3990,4018,4020],{"class":3992,"line":4019},6,[3990,4021,4022],{},"# Generate with max_new_tokens=4096 for \u003Cthink> + answer\n",[22,4024,4025,4026,4029],{},"vLLM for prod: ",[3987,4027,4028],{},"vllm serve \u003Cmodel_id>"," (OpenAI API compat), or Docker\u002FSGLang. Query via curl with max_tokens=4096, temperature=0.6.",[4031,4032,4033],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":40,"searchDepth":41,"depth":41,"links":4035},[4036,4037,4038,4039],{"id":3873,"depth":41,"text":3874},{"id":3883,"depth":41,"text":3884},{"id":3897,"depth":41,"text":3898},{"id":3972,"depth":41,"text":3973},[],{"content_references":4042,"triage":4057},[4043,4048,4051,4054],{"type":4044,"title":4045,"url":4046,"context":4047},"paper","Star Elastic","https:\u002F\u002Fcas-bridge.xethub.hf.co\u002Fxet-bridge-us\u002F69cd91b34a304b3afe4ceaa4\u002Fcedbede2a32a1757cd46b5ce6edbe0934f2c8437f61509d8f63aae86f96b43cb?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=cas%2F20260509%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20260509T212853Z&X-Amz-Expires=3600&X-Amz-Signature=a776c3adc5cd45d923a82950ea17eefb271caf85b0586ff79855f575381030a7&X-Amz-SignedHeaders=host&X-Xet-Cas-Uid=689a286d51b587fe5035c19f&response-content-disposition=inline%3B+filename*%3DUTF-8%27%27star_elastic_arxiv.pdf%3B+filename%3D%22star_elastic_arxiv.pdf%22%3B&response-content-type=application%2Fpdf&x-amz-checksum-mode=ENABLED&x-id=GetObject&Expires=1778365733&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTc3ODM2NTczM319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2FzLWJyaWRnZS54ZXRodWIuaGYuY28veGV0LWJyaWRnZS11cy82OWNkOTFiMzRhMzA0YjNhZmU0Y2VhYTQvY2VkYmVkZTJhMzJhMTc1N2NkNDZiNWNlNmVkYmUwOTM0ZjJjODQzN2Y2MTUwOWQ4ZjYzYWFlODZmOTZiNDNjYioifV19&Signature=fpq%7EPKyILz2ZDcwgCMn%7EsYfSySqpZ5Fr-A3MXBBG94lfu6bTv6y63ejTUL16B8v03HIJyKwrdGgHoYAQr88iQ05qS%7EoIszdd0eU2dfem3CVxM-t3e8rIo4-i4OTBjP2oPAMjCqmwzcC6uPG3Xqm-3Tiq5IfrsDFSKSUPZavMI6nU%7EBBpxd-i-L3C4-4v80nzJWfkHZiKb0EHr3PN8CRlA6In1X2-tH3dXBm0GM0j83%7EBtcclb-4C18vdpfEuvEaKOf0tMxsf5zI0acMPdCJxnVatq%7EgZwixiF%7E53DxgPc94Pb93zl0TVTcLH4%7ExH8yi7Xj9YYjdMKB634Q1GeapoJA__&Key-Pair-Id=K2L8F4GPSG1IFC","recommended",{"type":3754,"title":4049,"url":4050,"context":4047},"NVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-BF16","https:\u002F\u002Fhuggingface.co\u002Fnvidia\u002FNVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-BF16",{"type":3754,"title":4052,"url":4053,"context":4047},"NVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-FP8","https:\u002F\u002Fhuggingface.co\u002Fnvidia\u002FNVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-FP8",{"type":3754,"title":4055,"url":4056,"context":4047},"NVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-NVFP4","https:\u002F\u002Fhuggingface.co\u002Fnvidia\u002FNVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-NVFP4",{"relevance":54,"novelty":54,"quality":53,"actionability":41,"composite":3765,"reasoning":4058},"Category: AI & LLMs. The article discusses a new model architecture from NVIDIA that could be relevant for developers looking to integrate advanced AI models into their products. However, while it provides technical details, it lacks practical steps or frameworks that the audience could directly apply in their work.","\u002Fsummaries\u002F2d4fed29fea91900-star-elastic-pack-30b-23b-12b-models-in-one-checkp-summary","2026-05-09 22:24:23","2026-05-10 15:26:52",{"title":3863,"description":40},{"loc":4059},"2d4fed29fea91900","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F09\u002Fnvidia-ai-releases-star-elastic-one-checkpoint-that-contains-30b-23b-and-12b-reasoning-models-with-zero-shot-slicing\u002F","summaries\u002F2d4fed29fea91900-star-elastic-pack-30b-23b-12b-models-in-one-checkp-summary",[3777,70,69],"NVIDIA's Star Elastic embeds nested 30B (3.6B active), 23B (2.8B), and 12B (2.0B) reasoning models in a single checkpoint via importance-ranked weight-sharing, slashing training costs 360x and enabling phase-specific sizing for 16% accuracy gains at 1.9x lower latency.",[],"MmEv9MTKlBfvzKFMrwhf1uWOYr3g3Xhj2RLeYFKTfm8"]