[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-a57a3308fff16ffd-building-real-time-speech-translation-with-gemini-summary":3,"summaries-facets-categories":114,"summary-related-a57a3308fff16ffd-building-real-time-speech-translation-with-gemini-summary":7042},{"id":4,"title":5,"ai":6,"body":13,"categories":74,"created_at":76,"date_modified":76,"description":69,"extension":77,"faq":76,"featured":78,"kicker_label":76,"meta":79,"navigation":96,"path":97,"published_at":98,"question":76,"scraped_at":98,"seo":99,"sitemap":100,"source_id":101,"source_name":102,"source_type":103,"source_url":104,"stem":105,"tags":106,"thumbnail_url":76,"tldr":111,"tweet":76,"unknown_tags":112,"__hash__":113},"summaries\u002Fsummaries\u002Fa57a3308fff16ffd-building-real-time-speech-translation-with-gemini-summary.md","Building Real-Time Speech Translation with Gemini 3.5 Live",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",9079,586,3294,0.00314875,{"type":14,"value":15,"toc":68},"minimark",[16,21,30,34,45,61],[17,18,20],"h2",{"id":19},"continuous-streaming-vs-turn-based-interaction","Continuous Streaming vs. Turn-Based Interaction",[22,23,24,25,29],"p",{},"Gemini 3.5 Live Translate (",[26,27,28],"code",{},"gemini-3.5-live-translate-preview",") shifts from traditional turn-based conversational models to a continuous stream processing pipeline. Unlike standard AI agents that wait for a speaker to finish a sentence before processing, this model translates audio in real-time as it streams. This design choice prioritizes low latency, keeping the output just a few seconds behind the speaker. To maintain this strict performance, the model is stripped of general agent capabilities—it does not support text input, tool use, or system instructions, functioning strictly as a specialized interpreter.",[17,31,33],{"id":32},"technical-implementation-and-integration","Technical Implementation and Integration",[22,35,36,37,40,41,44],{},"Developers can integrate the model via the Gemini Live API by configuring a ",[26,38,39],{},"translationConfig"," block within the ",[26,42,43],{},"generationConfig",". Key parameters include:",[46,47,48,55],"ul",{},[49,50,51,54],"li",{},[26,52,53],{},"targetLanguageCode",": Uses BCP-47 language tags (e.g., \"es\", \"pl\") to define the output language.",[49,56,57,60],{},[26,58,59],{},"echoTargetLanguage",": A boolean toggle that determines whether the model should repeat input that is already in the target language.",[22,62,63,64,67],{},"The system requires specific raw audio formats: 16-bit PCM at 16kHz (mono, little-endian) for input, and 16kHz\u002F24kHz PCM for output. Data is sent in 100ms chunks, and developers are encouraged to use ephemeral tokens on the ",[26,65,66],{},"v1alpha"," endpoint to secure API keys in client-side applications. The model is designed to handle noisy, unpredictable environments, making it suitable for live meetings, broadcasts, and direct communication apps like those currently being tested by Grab.",{"title":69,"searchDepth":70,"depth":70,"links":71},"",2,[72,73],{"id":19,"depth":70,"text":20},{"id":32,"depth":70,"text":33},[75],"AI & LLMs",null,"md",false,{"content_references":80,"triage":91},[81,86,89],{"type":82,"title":83,"url":84,"context":85},"tool","Gemini 3.5 Live Translate","https:\u002F\u002Fdeepmind.google\u002Fmodels\u002Fmodel-cards\u002Fgemini-3-5-audio\u002F","recommended",{"type":82,"title":87,"context":88},"LiveKit","mentioned",{"type":82,"title":90,"context":88},"Pipecat",{"relevance":92,"novelty":93,"quality":93,"actionability":93,"composite":94,"reasoning":95},5,4,4.35,"Category: AI & LLMs. The article provides in-depth information about the Gemini 3.5 Live Translate model, detailing its real-time processing capabilities and integration steps, which directly addresses the needs of developers looking to implement AI-powered features. It includes specific technical implementation details, such as configuration parameters and audio format requirements, making it actionable for the target audience.",true,"\u002Fsummaries\u002Fa57a3308fff16ffd-building-real-time-speech-translation-with-gemini-summary","2026-06-10 12:57:02",{"title":5,"description":69},{"loc":97},"a57a3308fff16ffd","MarkTechPost","article","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F06\u002F09\u002Fgoogle-releases-gemini-3-5-live-translate-a-streaming-speech-to-speech-audio-model-covering-70-languages-across-meet-translate-and-the-live-api\u002F","summaries\u002Fa57a3308fff16ffd-building-real-time-speech-translation-with-gemini-summary",[107,108,109,110],"llm","ai-tools","automation","python","Google's Gemini 3.5 Live Translate enables continuous, low-latency speech-to-speech translation across 70+ languages, optimized for streaming audio rather than turn-based 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Production AI applications often handle a mix of simple tasks (like classification or extraction) and complex reasoning tasks. Routing allows you to match the model's capability to the specific requirement of the request, preventing you from overpaying for simple tasks while ensuring complex ones get the intelligence they need.",[17,7061,7063],{"id":7062},"designing-a-robust-routing-architecture","Designing a Robust Routing Architecture",[22,7065,7066],{},"An effective LLM router acts as a traffic controller that evaluates incoming requests before dispatching them. 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Use a lightweight model (like GPT-4o-mini or Haiku) to classify the intent, then route to the appropriate provider. Crucially, integrate evaluation (evals) into your routing loop. By logging the outputs of different models for the same prompt types, you can continuously refine your routing rules based on actual quality metrics rather than assumptions. Avoid common pitfalls like over-engineering the router (start with simple rules) and failing to monitor the latency added by the routing decision itself. The goal is to build a system that is resilient to model outages and cost-efficient at scale.",{"title":69,"searchDepth":70,"depth":70,"links":7102},[7103,7104,7105],{"id":7055,"depth":70,"text":7056},{"id":7062,"depth":70,"text":7063},{"id":7096,"depth":70,"text":7097},[75],{"content_references":7108,"triage":7109},[],{"relevance":92,"novelty":93,"quality":93,"actionability":93,"composite":94,"reasoning":7110},"Category: AI & LLMs. The article provides a detailed approach to implementing an LLM router, addressing a specific pain point of production stability and efficiency in AI applications. It offers actionable insights on routing architecture and implementation in Python, making it highly relevant for developers looking to optimize AI-powered products.","\u002Fsummaries\u002Ff0b93954b3d12c46-optimizing-ai-apps-with-llm-routing-summary","2026-06-19 16:01:48","2026-06-20 12:56:37",{"title":7045,"description":69},{"loc":7111},"f0b93954b3d12c46","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fyour-production-ai-app-needs-an-llm-router-not-one-favorite-model-5c0fac909fa1?source=rss----5517fd7b58a6---4","summaries\u002Ff0b93954b3d12c46-optimizing-ai-apps-with-llm-routing-summary",[107,108,110,109],"Stop relying on a single 'best' model. Implementing an LLM router allows you to dynamically match requests to models based on cost, latency, and task complexity, ensuring production stability and efficiency.",[],"CTyxT84Eu0sifDyJRXbLOVfcZvbLo6d4XSdlcy7W7X0",{"id":7125,"title":7126,"ai":7127,"body":7133,"categories":7225,"created_at":76,"date_modified":76,"description":7226,"extension":77,"faq":76,"featured":78,"kicker_label":76,"meta":7227,"navigation":96,"path":7228,"published_at":7229,"question":76,"scraped_at":7230,"seo":7231,"sitemap":7232,"source_id":7233,"source_name":7234,"source_type":7235,"source_url":7236,"stem":7237,"tags":7238,"thumbnail_url":76,"tldr":7239,"tweet":76,"unknown_tags":7240,"__hash__":7241},"summaries\u002Fsummaries\u002F690366bd753e82ad-rag-anything-lightrag-handles-images-charts-in-pdf-summary.md","RAG-Anything + LightRAG Handles Images\u002FCharts in PDFs",{"provider":7,"model":7128,"input_tokens":7129,"output_tokens":7130,"processing_time_ms":7131,"cost_usd":7132},"x-ai\u002Fgrok-4.1-fast",7653,1555,13954,0.00184085,{"type":14,"value":7134,"toc":7220},[7135,7139,7142,7145,7156,7159,7163,7166,7180,7183,7186,7190,7193,7199,7211,7217],[17,7136,7138],{"id":7137},"local-parsing-extracts-components-from-non-text-docs","Local Parsing Extracts Components from Non-Text Docs",[22,7140,7141],{},"RAG-Anything solves the limitation of text-only RAG systems like LightRAG by handling scanned PDFs, images, charts, and graphs. It uses MinerU, an open-source local tool, to parse documents into components: headers, text blocks, charts, images, and LaTeX equations. MinerU identifies these without understanding content—it draws bounding boxes around elements.",[22,7143,7144],{},"Specialized local models then process components:",[46,7146,7147,7150,7153],{},[49,7148,7149],{},"PaddleOCR extracts readable text from scanned blocks (e.g., \"Company X reported strong Q3'23 results with revenue growth\").",[49,7151,7152],{},"Charts and equations convert to text where possible.",[49,7154,7155],{},"Pure images (e.g., bar graphs) become screenshots.",[22,7157,7158],{},"This splits output into two buckets—text and images—avoiding full-document OCR. Local processing on CPU (or GPU with PyTorch tweaks) keeps it free and fast, reducing LLM costs compared to screenshot-everything approaches.",[17,7160,7162],{"id":7161},"dual-path-llm-processing-builds-embeddings-and-knowledge-graphs","Dual-Path LLM Processing Builds Embeddings and Knowledge Graphs",[22,7164,7165],{},"Text and image buckets feed into an LLM like GPT-4o-mini (or local Ollama) via separate prompts:",[46,7167,7168,7174],{},[49,7169,7170,7173],{},[7072,7171,7172],{},"Text path",": Prompt extracts entities, relationships (for knowledge graph), and embeddings (for vector DB).",[49,7175,7176,7179],{},[7072,7177,7178],{},"Image path",": LLM analyzes screenshots to extract the same—entities\u002Frelationships\u002Fembeddings.",[22,7181,7182],{},"From one document, this creates four artifacts: text embeddings, text KG, image embeddings, image KG. RAG-Anything merges them by overlaying entities into single vector DB and KG. This preserves context across modalities, enabling queries like \"monthly revenue trend for Novatech Inc. Jan-Sep 2025\" to pull bar chart data (e.g., Jan: $4.6M, Feb: $4.9M, etc.).",[22,7184,7185],{},"Merging saves money\u002Ftime: Local scalpel parsing minimizes LLM tokens vs. treating entire docs as images.",[17,7187,7189],{"id":7188},"integrate-with-lightrag-and-use-via-claude-code-skills","Integrate with LightRAG and Use via Claude Code Skills",[22,7191,7192],{},"RAG-Anything wraps LightRAG: Ingest text docs via LightRAG UI\u002FAPI; non-text via RAG-Anything script. Post-processing merges RAG-Anything's DB\u002FKG with LightRAG's into one unified system. Query unchanged—via LightRAG UI, API, or Claude Code natural language (e.g., it auto-calls query API).",[22,7194,7195,7198],{},[7072,7196,7197],{},"Setup (one-shot Claude Code prompt in LightRAG dir)",":",[7200,7201,7202,7205,7208],"ol",{},[49,7203,7204],{},"Updates storage path for existing Docker.",[49,7206,7207],{},"Sets models: GPT-4o-mini (or nano), text-embedding-3-large (OpenAI).",[49,7209,7210],{},"Fixes repo bugs like embedding double-wrap.\nDownloads MinerU\u002Fdependencies (heavier than LightRAG; CPU default, GPU optional).",[22,7212,7213,7216],{},[7072,7214,7215],{},"Ingest non-text",": Claude Code skill runs script—\"use rag-anything skill to upload these docs\u002Ffolder.\" Auto-restarts Docker, processes via MinerU → LLM → merge. Text uploads stay via UI\u002Fskill.",[22,7218,7219],{},"Trade-offs: Script-only for non-text (no UI); CPU slow for large batches (GPU fix via Claude Code); minor OpenAI costs for LLM extraction. Result: Production RAG for real docs, cheaper than cloud alternatives.",{"title":69,"searchDepth":70,"depth":70,"links":7221},[7222,7223,7224],{"id":7137,"depth":70,"text":7138},{"id":7161,"depth":70,"text":7162},{"id":7188,"depth":70,"text":7189},[75],"⚡Master Claude Code, Build Your Agency, Land Your First Client⚡\nhttps:\u002F\u002Fwww.skool.com\u002Fchase-ai\n\n🔥FREE community🔥\nhttps:\u002F\u002Fwww.skool.com\u002Fchase-ai-community\u002Fclassroom\u002F4fe79bd0?md=fc9896c946704869a1b2f4064454a558\n\n💻 Need custom work? Book a consult 💻\nhttps:\u002F\u002Fchaseai.io\n\nLets unlock multi modal RAG with RAG-Anything.\n\nIn this video, we build on our lightRAG base from yesterday, giving it the power to handle non text documents with the RAG Anything integration.\n\n⏰TIMESTAMPS:\n0:00 - Intro\n0:48 - RAG Anything\n3:22 - How it Works\n13:11 - Install & Demo\n18:19 - Final Thoughts\n\nRESOURCES FROM THIS VIDEO:\n➡️ Master Claude Code: https:\u002F\u002Fwww.skool.com\u002Fchase-ai\n➡️ My Website: https:\u002F\u002Fwww.chaseai.io\n➡️ LightRAG GH: https:\u002F\u002Fgithub.com\u002Fhkuds\u002Flightrag\n➡️ RAG-Anything GH: https:\u002F\u002Fgithub.com\u002FHKUDS\u002FRAG-Anything\n➡️ MinerU: https:\u002F\u002Fgithub.com\u002Fopendatalab\u002FMinerU\n\n#claudecode #lightrag #raganything",{},"\u002Fsummaries\u002F690366bd753e82ad-rag-anything-lightrag-handles-images-charts-in-pdf-summary","2026-04-03 01:16:49","2026-04-03 21:21:04",{"title":7126,"description":7226},{"loc":7228},"690366bd753e82ad","Chase AI","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=rJCgvnXgOiU","summaries\u002F690366bd753e82ad-rag-anything-lightrag-handles-images-charts-in-pdf-summary",[107,108,109,110],"RAG-Anything extends LightRAG to process scanned PDFs, charts, and images via local MinerU parsing, splitting into text\u002Fimages, extracting entities\u002Frelationships\u002Fembeddings with GPT-4o-mini, and merging into a unified vector DB + knowledge graph for querying.",[],"vBefY3V0I-5WBUdn4aMgweMh97HBzgc1jHfTdrDTQfI",{"id":7243,"title":7244,"ai":7245,"body":7250,"categories":7299,"created_at":76,"date_modified":76,"description":69,"extension":77,"faq":76,"featured":78,"kicker_label":76,"meta":7300,"navigation":96,"path":7305,"published_at":7306,"question":76,"scraped_at":7307,"seo":7308,"sitemap":7309,"source_id":7310,"source_name":7311,"source_type":103,"source_url":7312,"stem":7313,"tags":7314,"thumbnail_url":76,"tldr":7315,"tweet":76,"unknown_tags":7316,"__hash__":7317},"summaries\u002Fsummaries\u002F42070392ff3b49c9-consolidating-productivity-tools-into-a-single-pyt-summary.md","Consolidating Productivity Tools into a Single Python AI Agent",{"provider":7,"model":8,"input_tokens":7246,"output_tokens":7247,"processing_time_ms":7248,"cost_usd":7249},3921,426,3185,0.00161925,{"type":14,"value":7251,"toc":7295},[7252,7256,7259,7263,7266,7292],[17,7253,7255],{"id":7254},"the-problem-of-fragmented-productivity","The Problem of Fragmented Productivity",[22,7257,7258],{},"Managing a stack of 15+ productivity tools—ranging from note-taking and task management to meeting summaries and CRM systems—creates a 'tool tax.' Instead of saving time, the overhead of managing these disparate platforms, dealing with notification fatigue, and paying recurring subscription fees becomes a significant drain on productivity. The core issue is that these tools operate in silos, forcing the user to manually bridge the gap between information sources.",[17,7260,7262],{"id":7261},"building-a-unified-ai-employee","Building a Unified AI Employee",[22,7264,7265],{},"To solve this, the author advocates for building a custom, Python-based AI agent that acts as a central nervous system for digital workflows. This approach replaces multiple SaaS subscriptions with a single, self-hosted architecture. Key components include:",[46,7267,7268,7274,7280,7286],{},[49,7269,7270,7273],{},[7072,7271,7272],{},"Local LLMs:"," By running models locally, you gain privacy and eliminate per-token costs associated with commercial APIs.",[49,7275,7276,7279],{},[7072,7277,7278],{},"Vector Databases:"," These serve as the 'long-term memory' for the agent, allowing it to retrieve and synthesize information from scattered notes, documents, and bookmarks.",[49,7281,7282,7285],{},[7072,7283,7284],{},"Automation Workflows:"," Using Python scripts to connect disparate data sources, the agent can perform tasks like scheduling, email management, and research without human intervention.",[49,7287,7288,7291],{},[7072,7289,7290],{},"Smart Scheduling:"," The agent acts as an autonomous assistant, processing inputs 24\u002F7 to prioritize tasks and manage workflows based on the user's specific data.",[22,7293,7294],{},"By centralizing these functions, the agent eliminates the need for context switching between apps, ensuring that information is no longer trapped in isolated silos.",{"title":69,"searchDepth":70,"depth":70,"links":7296},[7297,7298],{"id":7254,"depth":70,"text":7255},{"id":7261,"depth":70,"text":7262},[129],{"content_references":7301,"triage":7302},[],{"relevance":92,"novelty":93,"quality":93,"actionability":92,"composite":7303,"reasoning":7304},4.55,"Category: AI Automation. The article provides a detailed approach to building a Python-based AI agent that consolidates multiple productivity tools, addressing a common pain point of tool fragmentation. It offers actionable steps, such as using local LLMs and vector databases, making it highly relevant and practical for the target audience.","\u002Fsummaries\u002F42070392ff3b49c9-consolidating-productivity-tools-into-a-single-pyt-summary","2026-06-15 22:27:18","2026-06-16 12:56:48",{"title":7244,"description":69},{"loc":7305},"42070392ff3b49c9","Python in Plain English","https:\u002F\u002Fpython.plainenglish.io\u002Fi-built-a-python-ai-employee-that-replaced-15-different-productivity-apps-18021466981f?source=rss----78073def27b8---4","summaries\u002F42070392ff3b49c9-consolidating-productivity-tools-into-a-single-pyt-summary",[108,109,110,107],"Instead of managing 15 separate productivity subscriptions, build a unified Python-based AI agent that uses local LLMs, vector databases, and automation to handle tasks, notes, and research autonomously.",[],"dKxCjSceufPrWmjeuGzGQ3HOvrAUkouJjaUqmmgv63E",{"id":7319,"title":7320,"ai":7321,"body":7326,"categories":7398,"created_at":76,"date_modified":76,"description":69,"extension":77,"faq":76,"featured":78,"kicker_label":76,"meta":7399,"navigation":96,"path":7412,"published_at":7413,"question":76,"scraped_at":7414,"seo":7415,"sitemap":7416,"source_id":7417,"source_name":7117,"source_type":103,"source_url":7418,"stem":7419,"tags":7420,"thumbnail_url":76,"tldr":7421,"tweet":76,"unknown_tags":7422,"__hash__":7423},"summaries\u002Fsummaries\u002F66e21506a21e4cba-building-presslens-using-llms-to-quantify-media-bi-summary.md","Building PressLens: Using LLMs to Quantify Media Bias",{"provider":7,"model":8,"input_tokens":7322,"output_tokens":7323,"processing_time_ms":7324,"cost_usd":7325},6398,620,2943,0.0025295,{"type":14,"value":7327,"toc":7393},[7328,7332,7335,7339,7346,7360,7363,7367,7370,7373],[17,7329,7331],{"id":7330},"quantifying-media-bias-with-structured-llm-analysis","Quantifying Media Bias with Structured LLM Analysis",[22,7333,7334],{},"PressLens moves beyond simple bias detection by asking what facts survive across conflicting narratives. The system evaluates news outlets across six dimensions: emotional tone, framing, source diversity, loaded language, political stance, and factual density. By enforcing a strict JSON schema for LLM outputs, the tool enables reliable data visualization, such as spider charts and comparative tables, which allow users to see how different outlets frame the same event.",[17,7336,7338],{"id":7337},"system-architecture-and-performance","System Architecture and Performance",[22,7340,7341,7342,7345],{},"The backend is built with FastAPI and uses ",[26,7343,7344],{},"asyncio.gather()"," to perform concurrent LLM calls, significantly reducing latency. To manage costs and improve performance, the system employs a two-stage reasoning pipeline:",[7200,7347,7348,7354],{},[49,7349,7350,7353],{},[7072,7351,7352],{},"Bias Scoring:"," Individual outlets are analyzed against the six dimensions using structured outputs.",[49,7355,7356,7359],{},[7072,7357,7358],{},"Neutral Synthesis:"," A separate LLM pass consumes the structured summaries from stage one to extract consensus facts and identify the sharpest narrative disagreements.",[22,7361,7362],{},"This separation ensures that the synthesis layer performs meta-analysis on structured data rather than raw text, improving reliability and cost efficiency. The system also includes a SQLite TTL cache to prevent redundant API calls for trending topics.",[17,7364,7366],{"id":7365},"the-challenge-of-consensus-and-neutrality","The Challenge of Consensus and Neutrality",[22,7368,7369],{},"The core philosophy of PressLens is that averaging bias scores is misleading; instead, the tool prioritizes extracting consensus while explicitly flagging outliers. For example, when analyzing the Ukraine-Russia war, the system identifies RT as an outlier due to fundamentally different framing, rather than attempting to manufacture false common ground.",[22,7371,7372],{},"However, the author notes critical limitations:",[46,7374,7375,7381,7387],{},[49,7376,7377,7380],{},[7072,7378,7379],{},"Western Bias:"," LLMs are trained primarily on Western internet text, which inherently skews their definition of \"neutral\" toward Western editorial norms.",[49,7382,7383,7386],{},[7072,7384,7385],{},"Stochastic Variance:"," Due to temperature settings, bias scores can fluctuate by ±1 point across different runs.",[49,7388,7389,7392],{},[7072,7390,7391],{},"Simplification:"," The six chosen dimensions are optimized for UI legibility rather than exhaustive editorial analysis.",{"title":69,"searchDepth":70,"depth":70,"links":7394},[7395,7396,7397],{"id":7330,"depth":70,"text":7331},{"id":7337,"depth":70,"text":7338},{"id":7365,"depth":70,"text":7366},[129],{"content_references":7400,"triage":7408},[7401,7404],{"type":82,"title":7402,"url":7403,"context":85},"PressLens","https:\u002F\u002Fpresslens-production-3f0c.up.railway.app\u002F",{"type":7405,"title":7406,"url":7407,"context":85},"other","PressLens GitHub Repository","https:\u002F\u002Fgithub.com\u002FZhenna\u002Fpresslens-media-bias-analyzer",{"relevance":93,"novelty":7409,"quality":93,"actionability":7409,"composite":7410,"reasoning":7411},3,3.6,"Category: AI & LLMs. The article discusses a practical application of LLMs in analyzing media bias, which aligns with the audience's interest in AI-powered product development. It provides insights into the architecture and performance of the PressLens tool, but while it offers some actionable elements, it lacks detailed step-by-step guidance for implementation.","\u002Fsummaries\u002F66e21506a21e4cba-building-presslens-using-llms-to-quantify-media-bi-summary","2026-05-18 15:44:27","2026-05-18 19:00:35",{"title":7320,"description":69},{"loc":7412},"66e21506a21e4cba","https:\u002F\u002Flevelup.gitconnected.com\u002Fsame-war-different-stories-i-used-llms-to-analyze-media-bias-and-find-consensus-f90b12747c8f?source=rss----5517fd7b58a6---4","summaries\u002F66e21506a21e4cba-building-presslens-using-llms-to-quantify-media-bi-summary",[107,108,109,110],"PressLens is an LLM-powered tool that analyzes media bias across six dimensions and synthesizes neutral summaries by extracting consensus facts while preserving narrative disagreements.",[],"FEqq0aCU8JswQbd7-8JqMy2aQV-h-nWuyJReWnJdq-8"]