[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-1a6b27682bc5657a-optimizing-video-diffusion-for-real-time-generatio-summary":3,"summaries-facets-categories":131,"summary-related-1a6b27682bc5657a-optimizing-video-diffusion-for-real-time-generatio-summary":4922},{"id":4,"title":5,"ai":6,"body":13,"categories":89,"created_at":91,"date_modified":91,"description":83,"extension":92,"faq":91,"featured":93,"kicker_label":91,"meta":94,"navigation":110,"path":111,"published_at":112,"question":91,"scraped_at":113,"seo":114,"sitemap":115,"source_id":116,"source_name":117,"source_type":118,"source_url":119,"stem":120,"tags":121,"thumbnail_url":126,"tldr":127,"tweet":128,"unknown_tags":129,"__hash__":130},"summaries\u002Fsummaries\u002F1a6b27682bc5657a-optimizing-video-diffusion-for-real-time-generatio-summary.md","Optimizing Video Diffusion for Real-Time Generation",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",7266,665,4888,0.002814,{"type":14,"value":15,"toc":82},"minimark",[16,21,25,29,71,75],[17,18,20],"h2",{"id":19},"the-path-to-real-time-diffusion","The Path to Real-Time Diffusion",[22,23,24],"p",{},"Standard diffusion models typically require 20 to 50 denoising steps, creating significant latency that hinders real-time applications like robotics or interactive content. Achieving real-time performance requires an additive approach, stacking three primary optimization techniques: quantization, caching, and distillation.",[17,26,28],{"id":27},"three-pillars-of-optimization","Three Pillars of Optimization",[30,31,32,45,51],"ul",{},[33,34,35,39,40,44],"li",{},[36,37,38],"strong",{},"Quantization:"," This is the lowest-hanging fruit. While diffusion models are attention-heavy and less sensitive to quantization than LLMs, dynamic quantization (computing ranges on the fly) effectively reduces memory footprint and improves throughput. NVIDIA’s ",[41,42,43],"code",{},"TRTLM"," repository provides pre-quantized checkpoints to simplify deployment.",[33,46,47,50],{},[36,48,49],{},"Caching:"," By identifying redundant computations between denoising steps, caching skips re-processing latent chunks that remain static. Modern approaches use chunk-based caching, which isolates dynamic elements (like a moving speaker) from static backgrounds, significantly reducing redundant GPU cycles.",[33,52,53,56,57],{},[36,54,55],{},"Step Distillation:"," The most impactful technique, distillation trains a 'student' model to match a 'teacher' model's output in significantly fewer steps (e.g., 4, 8, or even 1).\n",[30,58,59,65],{},[33,60,61,64],{},[36,62,63],{},"Trajectory-based:"," The student learns to mimic the teacher's exact denoising path.",[33,66,67,70],{},[36,68,69],{},"Distribution-based:"," The student only learns to land on the same final output. This is currently the preferred, higher-quality method.",[17,72,74],{"id":73},"implementation-strategy","Implementation Strategy",[22,76,77,78,81],{},"NVIDIA’s ",[41,79,80],{},"FastGen"," repository provides the necessary infrastructure to handle the complexity of sharding large models (20B–40B+ parameters) across multiple GPUs. The process is incremental: start with quantization to see if performance meets requirements, then layer in caching, and finally apply distillation for the most significant speedups. While distillation is a post-training technique requiring specific data and compute, it does not require the massive resources needed for initial pre-training, making it accessible on standard enterprise hardware like H100s or B200s.",{"title":83,"searchDepth":84,"depth":84,"links":85},"",2,[86,87,88],{"id":19,"depth":84,"text":20},{"id":27,"depth":84,"text":28},{"id":73,"depth":84,"text":74},[90],"AI & LLMs",null,"md",false,{"content_references":95,"triage":105},[96,101],{"type":97,"title":80,"author":98,"url":99,"context":100},"tool","NVIDIA Research","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FFastGen","recommended",{"type":97,"title":102,"author":103,"url":104,"context":100},"TRTLM (TensorRT-LLM)","NVIDIA","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FTensorRT-LLM",{"relevance":106,"novelty":107,"quality":107,"actionability":107,"composite":108,"reasoning":109},5,4,4.35,"Category: AI & LLMs. The article provides a detailed approach to optimizing video diffusion models for real-time generation, addressing a specific pain point of latency in AI applications. It outlines practical techniques like quantization, caching, and step distillation, making it actionable for developers looking to implement these optimizations.",true,"\u002Fsummaries\u002F1a6b27682bc5657a-optimizing-video-diffusion-for-real-time-generatio-summary","2026-06-16 13:00:06","2026-06-17 12:56:17",{"title":5,"description":83},{"loc":111},"1a6b27682bc5657a","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=gHs5ZiY80PM","summaries\u002F1a6b27682bc5657a-optimizing-video-diffusion-for-real-time-generatio-summary",[122,123,124,125],"llm","ai-tools","automation","machine-learning","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FgHs5ZiY80PM\u002Fhqdefault.jpg","Achieve real-time video generation by stacking quantization, caching, and step distillation to reduce the standard 50-step denoising process to as few as 1-8 steps.","This presentation outlines three technical strategies for reducing the latency of diffusion models: dynamic quantization, latent caching, and step distillation. The speaker explains how these methods can be combined to achieve real-time generation, with implementation details and tools available in the [FastGen](https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FTensorRT-LLM) 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Simulator-Guided LLM Framework for Mine Scheduling",{"provider":7,"model":8,"input_tokens":4927,"output_tokens":4928,"processing_time_ms":4929,"cost_usd":4930},4057,538,3287,0.00182125,{"type":14,"value":4932,"toc":4971},[4933,4937,4940,4944,4947,4968],[17,4934,4936],{"id":4935},"the-challenge-of-autonomous-mine-scheduling","The Challenge of Autonomous Mine Scheduling",[22,4938,4939],{},"Open-pit mine scheduling is a high-stakes, multi-objective optimization problem that requires balancing production targets, equipment constraints, and geological variability. Traditional mathematical optimization methods often struggle with the dynamic, non-linear nature of these environments, while pure LLM-based approaches lack the domain-specific grounding required to ensure safety and operational feasibility. Sim2Schedule bridges this gap by integrating Large Language Models (LLMs) with specialized simulation environments to create a closed-loop planning system.",[17,4941,4943],{"id":4942},"the-sim2schedule-framework","The Sim2Schedule Framework",[22,4945,4946],{},"Sim2Schedule functions as an iterative, simulator-guided agent. Instead of relying on a single-shot prompt to generate a schedule, the framework employs a multi-step process:",[4948,4949,4950,4956,4962],"ol",{},[33,4951,4952,4955],{},[36,4953,4954],{},"Reasoning & Planning",": The LLM acts as the central planner, translating high-level production goals into actionable scheduling sequences.",[33,4957,4958,4961],{},[36,4959,4960],{},"Simulator Feedback Loop",": The generated schedule is executed within a domain-specific simulator. This simulator acts as a 'reality check,' identifying violations of operational constraints (e.g., equipment capacity, slope stability, or material flow bottlenecks).",[33,4963,4964,4967],{},[36,4965,4966],{},"Iterative Refinement",": The simulator provides structured feedback to the LLM, detailing the specific failures or inefficiencies found in the current plan. The LLM then uses this feedback to adjust its strategy, iteratively improving the schedule until it meets performance criteria.",[22,4969,4970],{},"This approach effectively treats the simulator as a tool for verification, allowing the LLM to leverage its reasoning capabilities for complex decision-making while offloading the heavy lifting of constraint validation to a reliable, deterministic system.",{"title":83,"searchDepth":84,"depth":84,"links":4972},[4973,4974],{"id":4935,"depth":84,"text":4936},{"id":4942,"depth":84,"text":4943},[90],{"content_references":4977,"triage":4984},[4978],{"type":4979,"title":4980,"author":4981,"url":4982,"context":4983},"paper","Sim2Schedule: A Simulator-Guided LLM Framework for Autonomous Open-Pit Mine Scheduling","Not specified","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.10286","reviewed",{"relevance":106,"novelty":107,"quality":107,"actionability":4985,"composite":4986,"reasoning":4987},3,4.15,"Category: AI & LLMs. The article presents a novel framework that integrates LLMs with domain-specific simulators for mine scheduling, addressing a specific pain point in the optimization of complex environments. It provides a detailed description of the iterative process, but lacks specific actionable steps for implementation.","\u002Fsummaries\u002Fd5c54c878ef99cc8-sim2schedule-simulator-guided-llm-framework-for-mi-summary","2026-06-10 12:57:08",{"title":4925,"description":83},{"loc":4988},"d5c54c878ef99cc8","arXiv cs.AI","article","summaries\u002Fd5c54c878ef99cc8-sim2schedule-simulator-guided-llm-framework-for-mi-summary",[122,123,125,124],"Sim2Schedule addresses the complexity of open-pit mine scheduling by combining LLM reasoning with domain-specific simulators to iteratively refine production plans.",[],"SHbvAdHQgzicIPZrrxTErWZcrjbybOu2rnkGQc94IlM",{"id":5001,"title":5002,"ai":5003,"body":5008,"categories":5048,"created_at":91,"date_modified":91,"description":83,"extension":92,"faq":91,"featured":93,"kicker_label":91,"meta":5049,"navigation":110,"path":5058,"published_at":5059,"question":91,"scraped_at":5059,"seo":5060,"sitemap":5061,"source_id":5062,"source_name":4993,"source_type":4994,"source_url":5053,"stem":5063,"tags":5064,"thumbnail_url":91,"tldr":5065,"tweet":91,"unknown_tags":5066,"__hash__":5067},"summaries\u002Fsummaries\u002Ffbdfb0571adfd5a3-vbfdd-agent-translating-battery-signals-into-descr-summary.md","VBFDD-Agent: Translating Battery Signals into Descriptive Text",{"provider":7,"model":8,"input_tokens":5004,"output_tokens":5005,"processing_time_ms":5006,"cost_usd":5007},4065,499,2634,0.00176475,{"type":14,"value":5009,"toc":5044},[5010,5014,5017,5021,5024],[17,5011,5013],{"id":5012},"bridging-raw-data-and-llm-reasoning","Bridging Raw Data and LLM Reasoning",[22,5015,5016],{},"Traditional battery fault detection often relies on numerical analysis of time-series data, which can struggle with complex, non-linear fault patterns. The VBFDD-Agent (Vehicle Battery Fault Detection and Diagnosis Agent) introduces a novel approach by transforming raw battery digital signals—such as voltage, current, and temperature—into descriptive text representations. By converting these numerical streams into a human-readable, semantic format, the system allows Large Language Models (LLMs) to leverage their reasoning capabilities to identify, classify, and diagnose battery health issues that might be missed by purely statistical methods.",[17,5018,5020],{"id":5019},"the-descriptive-modeling-pipeline","The Descriptive Modeling Pipeline",[22,5022,5023],{},"Instead of feeding raw data directly into a model, the VBFDD-Agent acts as a translation layer. It interprets the temporal dynamics of battery signals and encodes them into a structured text format that captures the physical state of the battery. This descriptive modeling allows the agent to:",[30,5025,5026,5032,5038],{},[33,5027,5028,5031],{},[36,5029,5030],{},"Contextualize anomalies:"," By turning numerical spikes or drifts into descriptive events, the model can differentiate between normal operational noise and genuine fault signatures.",[33,5033,5034,5037],{},[36,5035,5036],{},"Improve Interpretability:"," Because the input is text-based, the diagnostic process becomes more transparent, allowing engineers to understand the 'why' behind an AI-generated fault alert.",[33,5039,5040,5043],{},[36,5041,5042],{},"Enhance Diagnostic Accuracy:"," By utilizing the pre-trained knowledge of LLMs, the agent can correlate specific signal patterns with known failure modes in electric vehicle battery management systems (BMS), leading to more robust detection of degradation and safety-critical faults.",{"title":83,"searchDepth":84,"depth":84,"links":5045},[5046,5047],{"id":5012,"depth":84,"text":5013},{"id":5019,"depth":84,"text":5020},[90],{"content_references":5050,"triage":5055},[5051],{"type":4979,"title":5052,"url":5053,"context":5054},"VBFDD-Agent for Electric Vehicle Battery Fault Detection and Diagnosis: Descriptive Text Modeling of Battery Digital Signals","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.20742","cited",{"relevance":107,"novelty":107,"quality":107,"actionability":4985,"composite":5056,"reasoning":5057},3.8,"Category: AI & LLMs. The article discusses a novel framework that enhances battery diagnostics using LLMs, addressing a specific pain point in AI-powered product development related to fault detection. It presents new insights into how transforming raw data into descriptive text can improve interpretability and diagnostic accuracy, making it relevant and actionable for developers in the AI space.","\u002Fsummaries\u002Ffbdfb0571adfd5a3-vbfdd-agent-translating-battery-signals-into-descr-summary","2026-05-22 07:00:21",{"title":5002,"description":83},{"loc":5058},"fbdfb0571adfd5a3","summaries\u002Ffbdfb0571adfd5a3-vbfdd-agent-translating-battery-signals-into-descr-summary",[123,125,122],"The VBFDD-Agent framework improves electric vehicle battery diagnostics by converting raw digital sensor signals into descriptive text, enabling LLMs to perform more accurate fault detection and diagnosis.",[],"UNLKCujGhIE0oSEuDJl9Vyb72fGelOOYIcdDmntXdiM",{"id":5069,"title":5070,"ai":5071,"body":5077,"categories":5113,"created_at":91,"date_modified":91,"description":83,"extension":92,"faq":91,"featured":93,"kicker_label":91,"meta":5114,"navigation":110,"path":5128,"published_at":5129,"question":91,"scraped_at":5130,"seo":5131,"sitemap":5132,"source_id":5133,"source_name":5134,"source_type":4994,"source_url":5135,"stem":5136,"tags":5137,"thumbnail_url":91,"tldr":5138,"tweet":91,"unknown_tags":5139,"__hash__":5140},"summaries\u002Fsummaries\u002F9c05119c3bd0f686-sovereign-ai-grounds-robotics-in-physics-for-1-1m-summary.md","Sovereign AI Grounds Robotics in Physics for 1.1M States\u002FSec",{"provider":7,"model":5072,"input_tokens":5073,"output_tokens":5074,"processing_time_ms":5075,"cost_usd":5076},"x-ai\u002Fgrok-4.1-fast",4417,1733,23053,0.0017274,{"type":14,"value":5078,"toc":5107},[5079,5083,5086,5090,5093,5097,5100,5104],[17,5080,5082],{"id":5081},"build-sub-millisecond-robotics-control-with-jax-tpu-v6","Build Sub-Millisecond Robotics Control with JAX + TPU v6",[22,5084,5085],{},"To overcome reinforcement learning's brittleness in real-world chaos, Sovereign AI leverages JAX 0.9.0+ on Google's TPU v6 Trillium for extreme speed: over 1.1 million states per second at 0.894 ms latency. This ensures a 22-DoF humanoid robot processes decisions faster than its actuators move, preventing delays that cause falls. Implement by running the full notebook on GitHub (frank-morales2020\u002FMLxDL), which integrates hardware acceleration for latent space computations without simulation pitfalls.",[17,5087,5089],{"id":5088},"anchor-predictions-to-physics-laws-via-jepa-for-47x-failure-sensitivity","Anchor Predictions to Physics Laws via JEPA for 4.7x Failure Sensitivity",[22,5091,5092],{},"Joint Embedding Predictive Architecture (JEPA) operates in a physics-informed latent space, using a Physics Anchor to monitor energy patterns. Detect anomalies by thresholding: energy loss of 8.5467 signals motor seizure (failure), while expansion of 4.8101 indicates intentional momentum for maneuvers like sideways slides. This delivers 4.7x greater sensitivity over traditional methods, grounding neural predictions in conservation laws so AI distinguishes planned actions from disasters in real time.",[17,5094,5096],{"id":5095},"gain-auditability-and-recovery-with-gemini-31-pro-oversight","Gain Auditability and Recovery with Gemini 3.1 Pro Oversight",[22,5098,5099],{},"Feed JEPA's abstract metrics into Gemini 3.1 Pro's Deep Thinking mode as the executive controller. It translates spikes into human-readable reports, diagnosing joint failures or sensor glitches, then outputs recovery plans. This Sovereign Return on Investment (SROI) enables full energy expenditure audits, making decisions transparent and recoverable rather than black-box guesses.",[17,5101,5103],{"id":5102},"slash-bandwidth-797-for-6g-scale-autonomy-with-semantic-compression","Slash Bandwidth 79.7% for 6G-Scale Autonomy with Semantic Compression",[22,5105,5106],{},"Compress data to transmit only semantic meaning, not raw sensors, yielding 79.7% bandwidth savings. For 6G networks, this sustains high-fidelity autonomy in bandwidth-constrained environments, ensuring reliable physical-world deployment without overwhelming infrastructure.",{"title":83,"searchDepth":84,"depth":84,"links":5108},[5109,5110,5111,5112],{"id":5081,"depth":84,"text":5082},{"id":5088,"depth":84,"text":5089},{"id":5095,"depth":84,"text":5096},{"id":5102,"depth":84,"text":5103},[90],{"content_references":5115,"triage":5126},[5116,5120,5122,5124],{"type":97,"title":5117,"url":5118,"context":5119},"MLxDL (GEMINI_TPU.ipynb)","https:\u002F\u002Fgithub.com\u002Ffrank-morales2020\u002FMLxDL\u002Fblob\u002Fmain\u002FGEMINI_TPU.ipynb","mentioned",{"type":97,"title":5121,"context":5119},"JAX 0.9.0+",{"type":97,"title":5123,"context":5119},"TPU v6 Trillium",{"type":97,"title":5125,"context":5119},"Gemini 3.1 Pro",{"relevance":106,"novelty":107,"quality":107,"actionability":107,"composite":108,"reasoning":5127},"Category: AI & LLMs. The article provides in-depth insights into using AI for robotics control, addressing practical applications like real-time decision-making and failure detection, which are crucial for product builders. It includes specific frameworks and tools like JAX and JEPA, making it actionable for developers looking to implement these techniques.","\u002Fsummaries\u002F9c05119c3bd0f686-sovereign-ai-grounds-robotics-in-physics-for-1-1m-summary","2026-05-08 15:34:13","2026-05-09 15:36:56",{"title":5070,"description":83},{"loc":5128},"9c05119c3bd0f686","AI Simplified in Plain English","https:\u002F\u002Fmedium.com\u002Fai-simplified-in-plain-english\u002Fsovereign-ai-bridging-the-gap-between-neural-logic-and-physical-reality-27847c54ddbc?source=rss----f37ab7d4e76b---4","summaries\u002F9c05119c3bd0f686-sovereign-ai-grounds-robotics-in-physics-for-1-1m-summary",[122,125,123],"Sovereign AI uses JEPA with physics anchors on JAX\u002FTPU v6 to process 1.1M states\u002Fsec at 0.894ms latency, detecting failures 4.7x better via energy patterns, with Gemini 3.1 Pro generating auditable reports and recovery plans.",[],"FBJXC9s7F-xx1REpoRhgpwoNBPw2DvrcNpX9JHVB-es",{"id":5142,"title":5143,"ai":5144,"body":5149,"categories":5178,"created_at":91,"date_modified":91,"description":83,"extension":92,"faq":91,"featured":93,"kicker_label":91,"meta":5179,"navigation":110,"path":5190,"published_at":5191,"question":91,"scraped_at":5192,"seo":5193,"sitemap":5194,"source_id":5195,"source_name":5196,"source_type":4994,"source_url":5197,"stem":5198,"tags":5199,"thumbnail_url":91,"tldr":5200,"tweet":91,"unknown_tags":5201,"__hash__":5202},"summaries\u002Fsummaries\u002F4e271633d433ef16-gemma-4-mtp-drafters-3x-faster-inference-no-qualit-summary.md","Gemma 4 MTP Drafters: 3x Faster Inference, No Quality Loss",{"provider":7,"model":5072,"input_tokens":5145,"output_tokens":5146,"processing_time_ms":5147,"cost_usd":5148},7596,1980,21477,0.00248655,{"type":14,"value":5150,"toc":5174},[5151,5155,5158,5161,5165,5168,5171],[17,5152,5154],{"id":5153},"speculative-decoding-overcomes-autoregressive-latency","Speculative Decoding Overcomes Autoregressive Latency",[22,5156,5157],{},"Standard LLM inference generates one token at a time autoregressively, creating a memory-bandwidth bottleneck: billions of parameters load from VRAM per token, leaving GPUs underutilized as data transfer dominates. Even predictable tokens (e.g., 'words' after 'Actions speak louder than...') require full computation, equal to complex reasoning steps.",[22,5159,5160],{},"Speculative decoding fixes this by pairing a small, fast drafter model with the large target (Gemma 4). The drafter proposes a sequence of tokens quickly—faster than the target processes one. The target verifies the entire draft in one parallel forward pass. Matches accept the full sequence plus one extra target-generated token, all in the time of a single standard pass. Verification ensures identical outputs to vanilla autoregressive generation, delivering lossless speedup. Gemma 4 drafters hit up to 3x overall inference speed post-60M downloads.",[17,5162,5164],{"id":5163},"mtp-architecture-shares-resources-for-edge-and-scale","MTP Architecture Shares Resources for Edge and Scale",[22,5166,5167],{},"Gemma 4's Multi-Token Prediction (MTP) drafters enhance speculative decoding by sharing the target's KV cache—storing prior attention computations—avoiding redundant context recompute. This cuts drafter overhead sharply.",[22,5169,5170],{},"For edge variants (E2B, E4B) on mobile, embedder-layer clustering accelerates logit computation (internal reps to vocab probabilities), targeting hardware-limited final steps. On Gemma 4 26B MoE, Apple Silicon sees ~2.2x speedup at batch size 4-8 (vs. batch 1 routing issues); NVIDIA A100 shows batch-dependent gains too.",[22,5172,5173],{},"Implement via Hugging Face Gemma 4 collections; speeds production apps without quality or accuracy trade-offs.",{"title":83,"searchDepth":84,"depth":84,"links":5175},[5176,5177],{"id":5153,"depth":84,"text":5154},{"id":5163,"depth":84,"text":5164},[90],{"content_references":5180,"triage":5188},[5181,5184],{"type":97,"title":5182,"url":5183,"context":5119},"Gemma 4 Model Weights","https:\u002F\u002Fhuggingface.co\u002Fcollections\u002Fgoogle\u002Fgemma-4",{"type":5185,"title":5186,"url":5187,"context":100},"other","Multi-Token Prediction for Gemma 4","https:\u002F\u002Fblog.google\u002Finnovation-and-ai\u002Ftechnology\u002Fdevelopers-tools\u002Fmulti-token-prediction-gemma-4\u002F?linkId=61725841",{"relevance":107,"novelty":4985,"quality":107,"actionability":107,"composite":5056,"reasoning":5189},"Category: AI & LLMs. The article discusses the new Multi-Token Prediction (MTP) drafters for Gemma 4, which addresses a specific pain point of inference speed in AI models, making it relevant for developers looking to implement faster AI features. It provides actionable insights on how to implement this technology via Hugging Face, which adds to its practical value.","\u002Fsummaries\u002F4e271633d433ef16-gemma-4-mtp-drafters-3x-faster-inference-no-qualit-summary","2026-05-06 08:23:04","2026-05-06 16:14:12",{"title":5143,"description":83},{"loc":5190},"4e271633d433ef16","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F06\u002Fgoogle-ai-releases-multi-token-prediction-mtp-drafters-for-gemma-4-delivering-up-to-3x-faster-inference-without-quality-loss\u002F","summaries\u002F4e271633d433ef16-gemma-4-mtp-drafters-3x-faster-inference-no-qualit-summary",[122,125,123],"Pair Gemma 4 with lightweight MTP drafters using speculative decoding to generate up to 3x more tokens per pass by drafting sequences and verifying in parallel, sharing KV cache for efficiency without altering outputs.",[],"9zKQbGealE55IZRdNqkOAfuDfHteluCgF1trH9nWXc4"]