[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-966cd163f8692d8c-building-abundant-intelligence-a-full-stack-econom-summary":3,"summaries-facets-categories":109,"summary-related-966cd163f8692d8c-building-abundant-intelligence-a-full-stack-econom-summary":6143},{"id":4,"title":5,"ai":6,"body":13,"categories":75,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":80,"navigation":91,"path":92,"published_at":93,"question":77,"scraped_at":93,"seo":94,"sitemap":95,"source_id":96,"source_name":97,"source_type":98,"source_url":99,"stem":100,"tags":101,"thumbnail_url":77,"tldr":106,"tweet":77,"unknown_tags":107,"__hash__":108},"summaries\u002Fsummaries\u002F966cd163f8692d8c-building-abundant-intelligence-a-full-stack-econom-summary.md","Building Abundant Intelligence: A Full-Stack Economic Strategy",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",7289,571,3613,0.00267875,{"type":14,"value":15,"toc":68},"minimark",[16,21,25,28,32,35,58,61,65],[17,18,20],"h2",{"id":19},"the-economics-of-abundance","The Economics of Abundance",[22,23,24],"p",{},"OpenAI defines \"abundance\" as the state where useful intelligence becomes increasingly capable, affordable, and accessible. The core business strategy relies on a self-reinforcing cycle: better intelligence drives broader adoption, which generates the revenue and feedback necessary to fund further research and infrastructure.",[22,26,27],{},"Success is not measured by token volume, but by the cost of achieving a successful outcome (e.g., resolving a support ticket or shipping software). This requires a nuanced pricing strategy that allows customers to balance intelligence, speed, and cost within a single workflow. A more expensive, highly capable model is often more economical than a cheaper one that requires extensive human oversight or repeated attempts.",[17,29,31],{"id":30},"optimizing-the-full-stack","Optimizing the Full Stack",[22,33,34],{},"Abundance is not achieved solely by building more data centers; it requires maximizing the productivity of every unit of compute. OpenAI emphasizes that efficiency is a systemic challenge, not just a model-specific one. Key levers for efficiency include:",[36,37,38,46,52],"ul",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"Systemic Routing:"," Keeping hardware productive through smarter workload distribution.",[39,47,48,51],{},[42,49,50],{},"Context Management:"," Reducing redundant work by agents.",[39,53,54,57],{},[42,55,56],{},"Tooling & Design:"," Minimizing the number of steps required to complete a task.",[22,59,60],{},"As an example, the company noted that improvements to retained reasoning and context management increased GPT-5.6 Sol’s score on the ARC-AGI-3 benchmark from 13.3% to 38.3% while using six times fewer output tokens—all without changing the underlying model.",[17,62,64],{"id":63},"disciplined-scaling","Disciplined Scaling",[22,66,67],{},"Because infrastructure planning requires long-term lead times while AI capabilities evolve rapidly, OpenAI advocates for strict operational discipline. Investment decisions are based on concrete evidence, including user growth, enterprise commitments, and API consumption. The goal is to deploy capacity against credible, existing demand rather than speculative growth. This approach integrates research, product, and infrastructure, where real-world product usage provides the feedback loop necessary to inform future research and capacity planning.",{"title":69,"searchDepth":70,"depth":70,"links":71},"",2,[72,73,74],{"id":19,"depth":70,"text":20},{"id":30,"depth":70,"text":31},{"id":63,"depth":70,"text":64},[76],"Business & SaaS",null,"md",false,{"content_references":81,"triage":86},[82],{"type":83,"title":84,"context":85},"other","ARC-AGI-3","mentioned",{"relevance":87,"novelty":88,"quality":88,"actionability":88,"composite":89,"reasoning":90},5,4,4.35,"Category: Business & SaaS. The article provides a comprehensive strategy for optimizing AI product development and scaling, addressing key pain points for product-minded builders regarding pricing and operational efficiency. It offers actionable insights on systemic routing and context management that can be directly applied to improve AI-powered product workflows.",true,"\u002Fsummaries\u002F966cd163f8692d8c-building-abundant-intelligence-a-full-stack-econom-summary","2026-08-01 03:13:06",{"title":5,"description":69},{"loc":92},"966cd163f8692d8c","OpenAI News","article","https:\u002F\u002Fopenai.com\u002Findex\u002Fbuilding-abundant-intelligence","summaries\u002F966cd163f8692d8c-building-abundant-intelligence-a-full-stack-econom-summary",[102,103,104,105],"saas","product-strategy","automation","ai-llms","OpenAI argues that AI value is driven by a cycle of increasing model capability, falling costs, and broader adoption, achieved by optimizing the entire stack—from infrastructure to product 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By providing a spectrum of models—Luna (high-volume\u002Flow-cost), Terra (balanced), and Sol (frontier intelligence)—businesses can optimize their compute spend based on the stakes, urgency, and complexity of each workflow step.",[22,6162,6163],{},"For instance, a complex coding pipeline might use the high-intelligence 'Sol' model to define architecture and resolve uncertainty, while delegating routine tasks like test generation and implementation to the significantly cheaper 'Luna' model. This tiered approach allows teams to maintain high output quality while drastically reducing the cost-per-task.",[17,6165,6167],{"id":6166},"advancing-the-efficiency-frontier","Advancing the Efficiency Frontier",[22,6169,6170],{},"The performance gains are driven by a holistic improvement in the model stack, including:",[36,6172,6173,6179,6185],{},[39,6174,6175,6178],{},[42,6176,6177],{},"Inference Optimization:"," Better routing and optimized production software that generates tokens more efficiently.",[39,6180,6181,6184],{},[42,6182,6183],{},"Autonomous Engineering:"," OpenAI is using the Sol model itself to rewrite production kernels and design experiments, which has already reduced end-to-end serving costs by 20% and boosted token-generation efficiency by 15%.",[39,6186,6187,6189],{},[42,6188,50],{}," Smarter handling of context to prevent agents from repeating work, thereby reducing unnecessary compute cycles.",[17,6191,6193],{"id":6192},"new-api-capabilities-and-pricing","New API Capabilities and Pricing",[22,6195,6196],{},"OpenAI has introduced 'Fast mode' for the Sol model, replacing the previous Priority Processing. This mode offers up to 2.5× faster speeds than standard processing at twice the cost, providing a predictable path for latency-sensitive applications.",[22,6198,6199],{},"Price adjustments effective July 30, 2026:",[36,6201,6202,6208,6214],{},[39,6203,6204,6207],{},[42,6205,6206],{},"Luna:"," 80% price reduction ($0.20\u002F1M input tokens, $1.20\u002F1M output tokens).",[39,6209,6210,6213],{},[42,6211,6212],{},"Terra:"," 20% price reduction ($2.00\u002F1M input tokens, $12.00\u002F1M output tokens).",[39,6215,6216,6219],{},[42,6217,6218],{},"Sol:"," Pricing remains unchanged, with Fast mode now available for high-priority workloads.",{"title":69,"searchDepth":70,"depth":70,"links":6221},[6222,6223,6224],{"id":6156,"depth":70,"text":6157},{"id":6166,"depth":70,"text":6167},{"id":6192,"depth":70,"text":6193},[112],{"content_references":6227,"triage":6238},[6228,6232,6235],{"type":6229,"title":6230,"url":6231,"context":85},"tool","GPT-5.6","https:\u002F\u002Fopenai.com\u002Findex\u002Fgpt-5-6\u002F",{"type":6229,"title":6233,"url":6234,"context":85},"GPT-5.6 Luna","https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fmodels\u002Fgpt-5.6-luna",{"type":6229,"title":6236,"url":6237,"context":85},"GPT-5.6 Terra","https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fmodels\u002Fgpt-5.6-terra",{"relevance":87,"novelty":88,"quality":88,"actionability":88,"composite":89,"reasoning":6239},"Category: AI & LLMs. The article provides actionable insights on optimizing AI workflows using the new GPT-5.6 models, addressing cost-efficiency and performance improvements that are directly relevant to product builders. It discusses specific strategies for model selection based on task requirements, which can help teams implement these changes in their workflows.","\u002Fsummaries\u002Fdca7adc62d79fe1c-optimizing-ai-workflows-with-gpt-5-6-price-and-per-summary","2026-07-31 03:11:09",{"title":6146,"description":69},{"loc":6240},"dca7adc62d79fe1c","https:\u002F\u002Fopenai.com\u002Findex\u002Fadvancing-the-price-performance-frontier-with-gpt-5-6","summaries\u002Fdca7adc62d79fe1c-optimizing-ai-workflows-with-gpt-5-6-price-and-per-summary",[102,104,103,105],"OpenAI has reduced costs for GPT-5.6 Luna (80% lower) and Terra (20% lower) while introducing 'Fast mode' for Sol, enabling more granular control over the price-performance trade-off in production AI workflows.",[105],"6YolCHwCVVcnrBJy3aall9yAbIJCoiels9_ico-JyrU",{"id":6252,"title":6253,"ai":6254,"body":6259,"categories":6301,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":6302,"navigation":91,"path":6317,"published_at":6318,"question":77,"scraped_at":6319,"seo":6320,"sitemap":6321,"source_id":6322,"source_name":6323,"source_type":98,"source_url":6324,"stem":6325,"tags":6326,"thumbnail_url":77,"tldr":6327,"tweet":77,"unknown_tags":6328,"__hash__":6329},"summaries\u002Fsummaries\u002Ff3ecafaa84463951-openai-pivots-to-super-app-strategy-to-drive-profi-summary.md","OpenAI Pivots to 'Super App' Strategy to Drive Profitability",{"provider":7,"model":8,"input_tokens":6255,"output_tokens":6256,"processing_time_ms":6257,"cost_usd":6258},5470,607,3246,0.002278,{"type":14,"value":6260,"toc":6296},[6261,6265,6268,6272,6275,6289,6293],[17,6262,6264],{"id":6263},"the-shift-from-standalone-products-to-unified-agents","The Shift from Standalone Products to Unified Agents",[22,6266,6267],{},"OpenAI is moving away from its 2025 strategy of launching diverse, standalone AI products. Instead, the company is consolidating its efforts into a single, revamped version of ChatGPT. This 'super app' is designed to function as a comprehensive personal agent capable of assisting users across both personal and professional domains. The internal sentiment, as reported by the Financial Times, is that the era of simple 'chat' interfaces is ending, with the company prioritizing functional utility over conversational novelty.",[17,6269,6271],{"id":6270},"strategic-drivers-monetization-and-competitive-positioning","Strategic Drivers: Monetization and Competitive Positioning",[22,6273,6274],{},"This pivot is driven by two primary business objectives:",[36,6276,6277,6283],{},[39,6278,6279,6282],{},[42,6280,6281],{},"Competitive Differentiation:"," The company aims to better compete with Anthropic, particularly in the enterprise sector, by offering a more integrated and powerful toolset.",[39,6284,6285,6288],{},[42,6286,6287],{},"Path to Profitability:"," By funneling free users into a unified platform, OpenAI intends to create a more effective conversion funnel for paid products, such as its coding tool, Codex. This consolidation is widely viewed as a necessary step to improve financial metrics ahead of a potential IPO.",[17,6290,6292],{"id":6291},"abandoning-side-quests","Abandoning 'Side Quests'",[22,6294,6295],{},"As part of this refocusing, OpenAI is actively shedding non-core projects—referred to internally as 'side quests.' The shutdown of the video generator Sora is a primary example of this new discipline. By simplifying its product experience and narrowing its focus, the company is attempting to streamline its user experience and concentrate resources on the core agent-based platform.",{"title":69,"searchDepth":70,"depth":70,"links":6297},[6298,6299,6300],{"id":6263,"depth":70,"text":6264},{"id":6270,"depth":70,"text":6271},{"id":6291,"depth":70,"text":6292},[112],{"content_references":6303,"triage":6313},[6304,6309],{"type":83,"title":6305,"publisher":6306,"url":6307,"context":6308},"Financial Times report on OpenAI super app","Financial Times","https:\u002F\u002Fwww.ft.com\u002Fcontent\u002Fca0f5f5e-fb9a-41a0-a2a9-0127e15b7db9","cited",{"type":83,"title":6310,"publisher":6311,"url":6312,"context":6308},"Wall Street Journal report on strategy shift","The Wall Street Journal","https:\u002F\u002Fwww.wsj.com\u002Ftech\u002Fopenai-plans-launch-of-desktop-superapp-to-refocus-simplify-user-experience-9e19931d",{"relevance":88,"novelty":6314,"quality":88,"actionability":70,"composite":6315,"reasoning":6316},3,3.4,"Category: Business & SaaS. The article discusses OpenAI's strategic shift towards a 'super app' which aligns with product strategy and business monetization, addressing the audience's interest in how AI companies are evolving. However, it lacks specific actionable insights for product builders on how to implement similar strategies.","\u002Fsummaries\u002Ff3ecafaa84463951-openai-pivots-to-super-app-strategy-to-drive-profi-summary","2026-06-07 16:23:22","2026-06-08 12:56:54",{"title":6253,"description":69},{"loc":6317},"f3ecafaa84463951","TechCrunch — AI","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F06\u002F07\u002Fopenai-is-still-working-on-that-super-app\u002F","summaries\u002Ff3ecafaa84463951-openai-pivots-to-super-app-strategy-to-drive-profi-summary",[102,103,105],"OpenAI is consolidating its product ecosystem into a single 'super app' featuring AI agents and coding tools, signaling a shift away from standalone products to focus on business monetization ahead of a potential IPO.",[105],"AVfe7grzHQ_2WfMMt8oLmQuTSfLP3gd8Q7yq94WdZOA",{"id":6331,"title":6332,"ai":6333,"body":6339,"categories":6367,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":6368,"navigation":91,"path":6381,"published_at":77,"question":77,"scraped_at":6382,"seo":6383,"sitemap":6384,"source_id":6385,"source_name":6386,"source_type":98,"source_url":6387,"stem":6388,"tags":6389,"thumbnail_url":77,"tldr":6390,"tweet":77,"unknown_tags":6391,"__hash__":6392},"summaries\u002Fsummaries\u002Fbba982451f342acb-engineer-eu-ai-act-controls-for-high-risk-systems-summary.md","Engineer EU AI Act Controls for High-Risk Systems Now",{"provider":7,"model":6334,"input_tokens":6335,"output_tokens":6336,"processing_time_ms":6337,"cost_usd":6338},"x-ai\u002Fgrok-4.1-fast",14850,1705,13060,0.00379985,{"type":14,"value":6340,"toc":6362},[6341,6345,6348,6352,6355,6359],[17,6342,6344],{"id":6343},"classify-ai-use-cases-by-domain-not-modelto-unlock-obligations","Classify AI Use Cases by Domain, Not Model—to Unlock Obligations",[22,6346,6347],{},"Risk classification under the EU AI Act hinges on use case domain, not model architecture or capabilities, dictating compliance needs from launch. Employment (CV screening, task allocation), credit scoring, healthcare, education assessments, and critical infrastructure trigger high-risk status automatically via Annex III—common in B2B SaaS AI features for EU clients. Prohibited systems like social scoring or workplace emotion recognition must be architecturally removed pre-market. Limited-risk (chatbots, deepfakes) needs interaction disclosures and machine-readable labels. Minimal-risk (spam filters, recommendations) has no mandates but encourages voluntary codes. Misclassifying drops production systems into violations; e.g., a CV-ranking model is high-risk in hiring but minimal in spam filtering. Providers (builders\u002Fshippers) bear heavier burdens than deployers (users); GPAI models like fine-tuned LLMs add immediate transparency docs since Aug 2025.",[17,6349,6351],{"id":6350},"deliver-five-core-engineering-controls-for-high-risk-compliance","Deliver Five Core Engineering Controls for High-Risk Compliance",[22,6353,6354],{},"High-risk demands production-ready infrastructure: (1) Risk management systems to identify\u002Fmonitor\u002Fmitigate risks pre- and post-deployment; (2) Training data documentation tracing sources, curation, and biases; (3) Logging capturing inputs, outputs, and decision logic (most teams fail here, lacking visibility); (4) Human oversight with override mechanisms; (5) Continuous post-market monitoring via automated pipelines. These overlap GDPR: Article 22 bans sole automated decisions without overrides, while data rights and lawful basis share logging needs. Build system inventories tracking all AI components, FRIA workflows for rights impact assessments, and extraterritorial controls if affecting EU residents—enforceable Aug 2026 at €15M or 3% global turnover per violation, plus GDPR layers.",[17,6356,6358],{"id":6357},"bridge-provider-deployer-roles-and-fix-inventory-gaps","Bridge Provider-Deployer Roles and Fix Inventory Gaps",[22,6360,6361],{},"Providers (e.g., SaaS licensing AI models) must conform systems before market entry; deployers (e.g., enterprises using for hiring) handle context-specific oversight. Engineering traps: skipping pre-launch classification, omitting logging beyond outputs, and lacking inventories—paperwork alone fails without runtime visibility. Start with domain audits on shipped features; integrate controls into CI\u002FCD for EU deployments. This turns regulation into product safety, ensuring AI features scale reliably across borders.",{"title":69,"searchDepth":70,"depth":70,"links":6363},[6364,6365,6366],{"id":6343,"depth":70,"text":6344},{"id":6350,"depth":70,"text":6351},{"id":6357,"depth":70,"text":6358},[112],{"content_references":6369,"triage":6379},[6370,6373,6376],{"type":83,"title":6371,"url":6372,"context":6308},"EU AI Act","https:\u002F\u002Fsecureprivacy.ai\u002Fblog\u002Feu-ai-act-2026-compliance",{"type":83,"title":6374,"url":6375,"context":85},"FRIA (Fundamental Rights Impact Assessment)","https:\u002F\u002Fsecureprivacy.ai\u002Fblog\u002Ffria-fundamental-rights-impact-assessment-ai",{"type":83,"title":6377,"url":6378,"context":6308},"GPAI Transparency Requirements","https:\u002F\u002Fsecureprivacy.ai\u002Fblog\u002Fai-risk-compliance-2026",{"relevance":87,"novelty":88,"quality":88,"actionability":88,"composite":89,"reasoning":6380},"Category: Product Strategy. The article provides detailed insights into compliance requirements for high-risk AI systems under the EU AI Act, which is crucial for product builders in the AI space. It outlines specific engineering controls that teams need to implement, making it actionable for developers and founders looking to align their products with regulatory standards.","\u002Fsummaries\u002Fbba982451f342acb-engineer-eu-ai-act-controls-for-high-risk-systems-summary","2026-04-16 02:57:21",{"title":6332,"description":69},{"loc":6381},"bba982451f342acb","__oneoff__","https:\u002F\u002Fsecureprivacy.ai\u002Fblog\u002Feu-ai-act-for-ctos","summaries\u002Fbba982451f342acb-engineer-eu-ai-act-controls-for-high-risk-systems-summary",[103,102,105],"High-risk AI systems in employment, credit, or healthcare require engineering teams to build risk management, logging pipelines, human oversight, and monitoring by Aug 2026—or face €15M fines or 3% turnover.",[105],"uYTdWxrsYlKQTm7Lxaw99AJvKJ5lHMXTnUxccO31a-s",{"id":6394,"title":6395,"ai":6396,"body":6401,"categories":6453,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":6454,"navigation":91,"path":6465,"published_at":6466,"question":77,"scraped_at":6466,"seo":6467,"sitemap":6468,"source_id":6469,"source_name":97,"source_type":98,"source_url":6470,"stem":6471,"tags":6472,"thumbnail_url":77,"tldr":6474,"tweet":77,"unknown_tags":6475,"__hash__":6476},"summaries\u002Fsummaries\u002F0a5ca4c5b5238e08-managing-ai-investments-in-the-agentic-era-summary.md","Managing AI Investments in the Agentic Era",{"provider":7,"model":8,"input_tokens":6397,"output_tokens":6398,"processing_time_ms":6399,"cost_usd":6400},7919,567,3145,0.00283025,{"type":14,"value":6402,"toc":6448},[6403,6407,6410,6414,6417,6421,6424,6445],[17,6404,6406],{"id":6405},"shift-from-token-costs-to-outcome-roi","Shift from Token Costs to Outcome ROI",[22,6408,6409],{},"As AI moves from simple chat interfaces to long-running agentic workflows, traditional metrics like price-per-million-tokens become insufficient. Leaders must prioritize \"useful work per dollar\"—measuring the total cost to achieve a successful outcome, including latency, human review, and retry rates. The goal is to match the model's capability to the task: reserve frontier intelligence for complex, high-stakes work while utilizing faster, smaller models for routine tasks. Success should be measured by business value, such as cycle time reduction, risk avoidance, or increased operational capacity.",[17,6411,6413],{"id":6412},"governance-as-an-operating-layer","Governance as an Operating Layer",[22,6415,6416],{},"Governance is no longer just a compliance checkbox; it is the operating layer that enables safe scaling. Before deploying agents that interact with enterprise systems, leaders must define clear boundaries for tool access, permitted actions, and human-in-the-loop approval paths. Centralized administration—such as workspace defaults, group limits, and individual overrides—allows teams to experiment while maintaining cost control. For high-stakes workflows, organizations should integrate privacy controls like Zero Data Retention and work with deployment engineers to ensure architecture, reliability, and security are baked in before scaling.",[17,6418,6420],{"id":6419},"portfolio-based-investment-strategy","Portfolio-Based Investment Strategy",[22,6422,6423],{},"AI investments should be managed as a portfolio consisting of three tiers: broad productivity access, function-specific repeatable workflows, and strategic bets leveraging proprietary data. Funding should follow a maturity model:",[6425,6426,6427,6433,6439],"ol",{},[39,6428,6429,6432],{},[42,6430,6431],{},"Exploration:"," Testing model capability.",[39,6434,6435,6438],{},[42,6436,6437],{},"Validation:"," Measuring against a clear quality bar.",[39,6440,6441,6444],{},[42,6442,6443],{},"Production:"," Supporting integrations, reliability, and change management.",[22,6446,6447],{},"Once a workflow proves its value, organizations should move away from generic consumption models toward optimized commercial structures like Guaranteed Capacity for production systems, Scale Tier for high-volume APIs, or Batch\u002FFlex processing for asynchronous tasks. This ensures that infrastructure costs align with the specific demands of the business process.",{"title":69,"searchDepth":70,"depth":70,"links":6449},[6450,6451,6452],{"id":6405,"depth":70,"text":6406},{"id":6412,"depth":70,"text":6413},{"id":6419,"depth":70,"text":6420},[76],{"content_references":6455,"triage":6463},[6456,6460],{"type":6229,"title":6457,"url":6458,"context":6459},"ChatGPT Work","https:\u002F\u002Fopenai.com\u002Fchatgpt-work\u002F","recommended",{"type":6229,"title":6461,"url":6462,"context":85},"OpenAI Deployment Company","https:\u002F\u002Fdeploy.co\u002F",{"relevance":87,"novelty":88,"quality":88,"actionability":88,"composite":89,"reasoning":6464},"Category: Product Strategy. The article provides a comprehensive framework for managing AI investments, focusing on outcome-based ROI and governance, which directly addresses the pain points of product-minded builders. It offers actionable insights on measuring success and structuring AI investments, making it highly relevant for the target audience.","\u002Fsummaries\u002F0a5ca4c5b5238e08-managing-ai-investments-in-the-agentic-era-summary","2026-07-16 13:33:33",{"title":6395,"description":69},{"loc":6465},"0a5ca4c5b5238e08","https:\u002F\u002Fopenai.com\u002Findex\u002Fmanaging-ai-investments-in-agentic-era","summaries\u002F0a5ca4c5b5238e08-managing-ai-investments-in-the-agentic-era-summary",[6473,102,103,104],"ai-tools","Enterprise leaders should shift from tracking token costs to measuring 'useful work per dollar,' focusing on outcome-based ROI, governance, and scaling proven agentic workflows.",[],"55RLlqdiAswQl3PLdCvjPW5-XWNpnSF6nmyxOqojJjE"]