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      <video:title>Production Controls</video:title>
      <video:description>Which controls limit damage when an AI system reads external content, uses tools, and one defense fails.</video:description>
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    <loc>https://5sigmas.com/en/videos/series/seguridad-ia/04-red-teaming/</loc>
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      <video:title>Red Teaming</video:title>
      <video:description>How to test the path from an incoming document to the action the system can execute, before an incident occurs.</video:description>
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    <loc>https://5sigmas.com/en/videos/series/seguridad-ia/03-envenenamiento/</loc>
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      <video:title>Poisoning</video:title>
      <video:description>What happens when a document or memory preserves a dangerous instruction and the system uses it again later.</video:description>
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    <loc>https://5sigmas.com/en/videos/series/seguridad-ia/02-jailbreaks/</loc>
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      <video:title>Jailbreaks</video:title>
      <video:description>How an attacker tries many ways of asking for the same thing and which controls remain necessary after a refusal.</video:description>
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      <video:title>AI Security</video:title>
      <video:description>A series on how an instruction hidden in a document can influence an AI system, how that risk can persist and which controls constrain actions.</video:description>
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    <loc>https://5sigmas.com/en/videos/series/agentes-ia/05-de-la-demo-a-produccion/</loc>
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      <video:title>From demo to production</video:title>
      <video:description>What it takes to run an AI agent in production: budgets, retries, idempotency, observability, asynchronous work, fallbacks, and criteria for not using an agent.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/agentes-ia/05-de-la-demo-a-produccion.mp4</video:content_loc>
      <video:duration>32</video:duration>
      <video:publication_date>2026-07-14T00:00:00+00:00</video:publication_date>
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  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/agentes-ia/04-seguridad-agentes/</loc>
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      <video:title>Agent security</video:title>
      <video:description>Why an agent that reads external data can be manipulated into acting, and which controls reduce risk: instruction separation, least privilege, approval, and auditability.</video:description>
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      <video:publication_date>2026-07-14T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/agentes-ia/03-como-evaluar-un-agente/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/agentes-ia/03-como-evaluar-un-agente.jpg</video:thumbnail_loc>
      <video:title>How to evaluate an AI agent</video:title>
      <video:description>Evaluating an agent requires measuring the whole task, traces, tools, cost, and recovery from failure. A convincing final answer is not enough.</video:description>
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      <video:duration>32</video:duration>
      <video:publication_date>2026-07-14T00:00:00+00:00</video:publication_date>
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  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/agentes-ia/02-anatomia-de-un-agente/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/agentes-ia/02-anatomia-de-un-agente.jpg</video:thumbnail_loc>
      <video:title>The anatomy of an agent</video:title>
      <video:description>How an AI agent works internally: context, planning, tools, memory, state, and runtime. A tool call is a contract, not magic.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/agentes-ia/02-anatomia-de-un-agente.mp4</video:content_loc>
      <video:duration>32</video:duration>
      <video:publication_date>2026-07-14T00:00:00+00:00</video:publication_date>
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  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/agentes-ia/01-que-es-un-agente/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/agentes-ia/01-que-es-un-agente.jpg</video:thumbnail_loc>
      <video:title>What an AI agent is—and is not</video:title>
      <video:description>The difference between a chatbot, workflow, copilot, and agent. An agent is not just an LLM with tools: it is a system that decides actions within explicit boundaries.</video:description>
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      <video:publication_date>2026-07-14T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/agentes-ia/00_presentacion_serie/</loc>
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      <video:title>AI Agents</video:title>
      <video:description>Five chapters to understand what an AI agent is, how it uses tools, how to evaluate it, which risks it introduces, and what it takes to operate one in production.</video:description>
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      <video:publication_date>2026-07-14T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/datacenters-espacio/04-huella-real-datacenter/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/datacenters-espacio/04-huella-real-datacenter.jpg</video:thumbnail_loc>
      <video:title>The real footprint of a data center</video:title>
      <video:description>Water, energy, minerals and data-center lifecycle: what AI consumes, why impact varies by location, and how to measure its footprint.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/datacenters-espacio/04-huella-real-datacenter.mp4</video:content_loc>
      <video:duration>53</video:duration>
      <video:publication_date>2026-06-14T00:00:00+00:00</video:publication_date>
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  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/datacenters-espacio/03-que-es-datacenter-espacio/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/datacenters-espacio/03-que-es-datacenter-espacio.jpg</video:thumbnail_loc>
      <video:title>What a data center in space actually is</video:title>
      <video:description>What processing data in orbit really means, which use cases make sense today, resilient storage and megaprojects with decades-long horizons.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/datacenters-espacio/03-que-es-datacenter-espacio.mp4</video:content_loc>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/datacenters-espacio/02-energia-calor-conectividad/</loc>
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      <video:title>Energy, heat and connectivity</video:title>
      <video:description>Why the cold of space does not mean free cooling, where the real advantage of orbital energy lies, and what limits the connection to Earth imposes.</video:description>
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      <video:publication_date>2026-06-14T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/datacenters-espacio/01-por-que-ahora/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/datacenters-espacio/01-por-que-ahora.jpg</video:thumbnail_loc>
      <video:title>Why now</video:title>
      <video:description>Why orbital computing is being discussed now. The pressure AI compute demand places on terrestrial infrastructure and the limits that make space relevant.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/datacenters-espacio/01-por-que-ahora.mp4</video:content_loc>
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      <video:publication_date>2026-06-14T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/datacenters-espacio/00_presentacion_serie/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/datacenters-espacio/00_presentacion_serie.jpg</video:thumbnail_loc>
      <video:title>Data Centers in Space</video:title>
      <video:description>Technical analysis of orbital data centers: heat dissipation, latency, launch cost and real viability compared with terrestrial infrastructure.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/datacenters-espacio/00_presentacion_serie.mp4</video:content_loc>
      <video:duration>53</video:duration>
      <video:publication_date>2026-06-14T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/seguridad-ia/01-prompt-injection/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/seguridad-ia/01-prompt-injection.jpg</video:thumbnail_loc>
      <video:title>Prompt Injection</video:title>
      <video:description>How an instruction hidden in a document can enter an AI system and which controls separate reading from action.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/seguridad-ia/01-prompt-injection.mp4</video:content_loc>
      <video:duration>48</video:duration>
      <video:publication_date>2026-05-26T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/articulos-tecnicos/reactive-proactive-agent-header-demo/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/articulos-tecnicos/reactive-proactive-agent-header-demo.jpg</video:thumbnail_loc>
      <video:title>Proactive and reactive agents and tool calls</video:title>
      <video:description>A technical walkthrough of Reactive / Proactive Agent and the conversational contract it encapsulates: immediate response, asynchronous work, and deferred completion.</video:description>
      <video:content_loc>https://5sigmas.com/en/articulos-tecnicos/reactive-proactive-agent-header-demo.mp4</video:content_loc>
      <video:duration>20</video:duration>
      <video:publication_date>2026-04-23T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/modelos-razonadores/05-riesgos/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/modelos-razonadores/05-riesgos.jpg</video:thumbnail_loc>
      <video:title>Reasoning Risks and Production Controls</video:title>
      <video:description>Overthinking, prompt injection and agent hijacking in reasoning models with tools. Design criteria for bounding risk in production.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/modelos-razonadores/05-riesgos.mp4</video:content_loc>
      <video:duration>60</video:duration>
      <video:publication_date>2026-04-14T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/modelos-razonadores/04-latencia-streaming/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/modelos-razonadores/04-latencia-streaming.jpg</video:thumbnail_loc>
      <video:title>Latency, Streaming and Product Design</video:title>
      <video:description>TTFT, streaming and perceived-latency thresholds in reasoning models. RouteLLM, design patterns and production session-cost management.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/modelos-razonadores/04-latencia-streaming.mp4</video:content_loc>
      <video:duration>59</video:duration>
      <video:publication_date>2026-04-11T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/modelos-razonadores/03-test-time-compute/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/modelos-razonadores/03-test-time-compute.jpg</video:thumbnail_loc>
      <video:title>Test-Time Compute</video:title>
      <video:description>Test-time compute as a second scaling axis. The three levers—more steps, more candidates and more structure—and their quality, cost and latency tradeoffs in reasoning models.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/modelos-razonadores/03-test-time-compute.mp4</video:content_loc>
      <video:duration>60</video:duration>
      <video:publication_date>2026-04-10T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/ia-pib-bienestar-energia/04-ia-pib-hoy/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/ia-pib-bienestar-energia/04-ia-pib-hoy.jpg</video:thumbnail_loc>
      <video:title>AI and GDP Today</video:title>
      <video:description>Why AI's macroeconomic impact takes time to appear in GDP, where it appears earlier, and which signals best indicate what is already changing.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/ia-pib-bienestar-energia/04-ia-pib-hoy.mp4</video:content_loc>
      <video:duration>62</video:duration>
      <video:publication_date>2026-04-10T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/modelos-razonadores/02-fallos/</loc>
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      <video:title>How Reasoning Fails</video:title>
      <video:description>Sycophancy, shortcut learning, specification gaming and cascading failures: the failure modes of reasoning models, how to detect them and how to mitigate them.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/modelos-razonadores/02-fallos.mp4</video:content_loc>
      <video:duration>59</video:duration>
      <video:publication_date>2026-04-09T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/ia-pib-bienestar-energia/03-pib-vs-bienestar/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/ia-pib-bienestar-energia/03-pib-vs-bienestar.jpg</video:thumbnail_loc>
      <video:title>Measurement: GDP vs Well-being</video:title>
      <video:description>Why GDP does not capture real well-being, which dimensions matter most, and when subjective well-being diverges from material well-being.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/ia-pib-bienestar-energia/03-pib-vs-bienestar.mp4</video:content_loc>
      <video:duration>62</video:duration>
      <video:publication_date>2026-04-09T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/modelos-razonadores/01-que-es-razonar/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/modelos-razonadores/01-que-es-razonar.jpg</video:thumbnail_loc>
      <video:title>What It Means for an LLM to Reason</video:title>
      <video:description>What reasoning means for a language model, what o1 and DeepSeek R1 added, and why evaluating reasoning requires looking at steps, cost and failure modes.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/modelos-razonadores/01-que-es-razonar.mp4</video:content_loc>
      <video:duration>58</video:duration>
      <video:publication_date>2026-04-08T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/modelos-razonadores/00_presentacion_serie/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/modelos-razonadores/00_presentacion_serie.jpg</video:thumbnail_loc>
      <video:title>Reasoning Models</video:title>
      <video:description>Five chapters on how LLMs reason: test-time compute, failure modes, latency, cost and risks when models use tools.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/modelos-razonadores/00_presentacion_serie.mp4</video:content_loc>
      <video:duration>45</video:duration>
      <video:publication_date>2026-04-08T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/ia-pib-bienestar-energia/02-ia-tecnologia-electrica/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/ia-pib-bienestar-energia/02-ia-tecnologia-electrica.jpg</video:thumbnail_loc>
      <video:title>AI as an Electrical Technology</video:title>
      <video:description>What AI implies in compute and energy terms, why demand can grow even as hardware improves, and where the real bottlenecks are.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/ia-pib-bienestar-energia/02-ia-tecnologia-electrica.mp4</video:content_loc>
      <video:duration>62</video:duration>
      <video:publication_date>2026-04-08T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/ia-pib-bienestar-energia/01-electricidad-bienestar/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/ia-pib-bienestar-energia/01-electricidad-bienestar.jpg</video:thumbnail_loc>
      <video:title>Electricity and Well-being</video:title>
      <video:description>Why reliable, affordable electricity enables real gains in health, logistics and industry, and why supply quality matters as much as kilowatt-hours.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/ia-pib-bienestar-energia/01-electricidad-bienestar.mp4</video:content_loc>
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      <video:publication_date>2026-04-07T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/ia-pib-bienestar-energia/00_presentacion_serie/</loc>
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      <video:thumbnail_loc>https://5sigmas.com/en/series/ia-pib-bienestar-energia/00_presentacion_serie.jpg</video:thumbnail_loc>
      <video:title>AI, GDP, Well-being and Energy</video:title>
      <video:description>Quantitative analysis of AI's impact on energy, productivity and well-being using real World Bank, IEA and Penn World Table data rather than speculative projections.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/ia-pib-bienestar-energia/00_presentacion_serie.mp4</video:content_loc>
      <video:duration>62</video:duration>
      <video:publication_date>2026-04-07T00:00:00+00:00</video:publication_date>
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  <url>
    <loc>https://5sigmas.com/en/videos/series/multimodalidad-iag/05-riesgos/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/multimodalidad-iag/05-riesgos.jpg</video:thumbnail_loc>
      <video:title>Risks of Multimodal AI Systems</video:title>
      <video:description>Visual prompt injection, privacy, context leakage and tool manipulation when a multimodal system can observe and act.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/multimodalidad-iag/05-riesgos.mp4</video:content_loc>
      <video:duration>62</video:duration>
      <video:publication_date>2026-04-03T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/multimodalidad-iag/04-evaluacion/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/multimodalidad-iag/04-evaluacion.jpg</video:thumbnail_loc>
      <video:title>Evaluating Multimodal Systems</video:title>
      <video:description>How to evaluate multimodal systems without confusing benchmarks with real capability: OCR, audio, grounding, reasoning and metric failures.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/multimodalidad-iag/04-evaluacion.mp4</video:content_loc>
      <video:duration>62</video:duration>
      <video:publication_date>2026-04-03T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/multimodalidad-iag/03-arquitecturas/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/multimodalidad-iag/03-arquitecturas.jpg</video:thumbnail_loc>
      <video:title>Multimodal System Architectures</video:title>
      <video:description>Four multimodal architecture families, their differences in quality, cost and latency, and when each way of combining modalities makes sense.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/multimodalidad-iag/03-arquitecturas.mp4</video:content_loc>
      <video:duration>62</video:duration>
      <video:publication_date>2026-04-02T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/multimodalidad-iag/02-alineamiento/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/multimodalidad-iag/02-alineamiento.jpg</video:thumbnail_loc>
      <video:title>Alignment: From Pairs to Interactions</video:title>
      <video:description>How models learn that different signals describe the same content, and why data quality determines the robustness of multimodal alignment.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/multimodalidad-iag/02-alineamiento.mp4</video:content_loc>
      <video:duration>62</video:duration>
      <video:publication_date>2026-04-02T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/multimodalidad-iag/01-el-problema/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/multimodalidad-iag/01-el-problema.jpg</video:thumbnail_loc>
      <video:title>The Real Problem of Multimodality</video:title>
      <video:description>What it means to integrate text, images, audio and other modalities, and how perception, alignment, reasoning, generation and action fit together.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/multimodalidad-iag/01-el-problema.mp4</video:content_loc>
      <video:duration>62</video:duration>
      <video:publication_date>2026-04-01T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/multimodalidad-iag/00_presentacion_serie/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/multimodalidad-iag/00_presentacion_serie.jpg</video:thumbnail_loc>
      <video:title>Multimodality in Generative AI</video:title>
      <video:description>What it means to build systems that can perceive, align, reason, generate and act across text, image, audio, video, documents and other signals from the world.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/multimodalidad-iag/00_presentacion_serie.mp4</video:content_loc>
      <video:duration>62</video:duration>
      <video:publication_date>2026-04-01T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/from-cave-to-agi/05-mas-alla/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/from-cave-to-agi/05-mas-alla.jpg</video:thumbnail_loc>
      <video:title>Beyond the Transformer</video:title>
      <video:description>How the field is trying to move beyond pure Transformer scaling by combining tools, search, inference-time memory, world models and robotics.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/from-cave-to-agi/05-mas-alla.mp4</video:content_loc>
      <video:duration>63</video:duration>
      <video:publication_date>2026-03-31T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/from-cave-to-agi/03-aprender/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/from-cave-to-agi/03-aprender.jpg</video:thumbnail_loc>
      <video:title>Learn — from rules to data</video:title>
      <video:description>How AI moved from hand-written rules to learning from data: expert systems, statistics, neural networks and the AlexNet breakthrough.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/from-cave-to-agi/03-aprender.mp4</video:content_loc>
      <video:duration>63</video:duration>
      <video:publication_date>2026-03-27T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/from-cave-to-agi/02-mecanizar/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/from-cave-to-agi/02-mecanizar.jpg</video:thumbnail_loc>
      <video:title>Mechanize — from calculation to computing</video:title>
      <video:description>How humanity automated calculation: from the first physical mechanisms to the separation of program and hardware, and the theoretical foundations of modern computing.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/from-cave-to-agi/02-mecanizar.mp4</video:content_loc>
      <video:duration>63</video:duration>
      <video:publication_date>2026-03-26T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/from-cave-to-agi/01-representar/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/from-cave-to-agi/01-representar.jpg</video:thumbnail_loc>
      <video:title>Represent — from counting to calculus</video:title>
      <video:description>How symbols, numbers, algebra and calculus made it possible to represent and manipulate the world, building the mathematical foundation of modern AI.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/from-cave-to-agi/01-representar.mp4</video:content_loc>
      <video:duration>63</video:duration>
      <video:publication_date>2026-03-26T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/from-cave-to-agi/00_presentacion_serie/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/from-cave-to-agi/00_presentacion_serie.jpg</video:thumbnail_loc>
      <video:title>From the Caves to AGI</video:title>
      <video:description>An intellectual history of AI: from the first mathematical abstractions to foundation models. Mathematics, philosophy and computing in context.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/from-cave-to-agi/00_presentacion_serie.mp4</video:content_loc>
      <video:duration>63</video:duration>
      <video:publication_date>2026-03-26T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/fundamentos-ia-iag/04-agi/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/fundamentos-ia-iag/04-agi.jpg</video:thumbnail_loc>
      <video:title>AGI: Artificial General Intelligence</video:title>
      <video:description>AGI means artificial general intelligence. This chapter explains its definitions, DeepMind's and OpenAI's levels, and what would still be required to reach it.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/fundamentos-ia-iag/04-agi.mp4</video:content_loc>
      <video:duration>63</video:duration>
      <video:publication_date>2026-03-20T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/fundamentos-ia-iag/03-ia-vs-ia-generativa/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/fundamentos-ia-iag/03-ia-vs-ia-generativa.jpg</video:thumbnail_loc>
      <video:title>Classical AI vs Generative AI</video:title>
      <video:description>Technical comparison between classical AI and generative AI: inputs, outputs, determinism, explainability, and when to use rules, ML, LLMs, RAG, or agents.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/fundamentos-ia-iag/03-ia-vs-ia-generativa.mp4</video:content_loc>
      <video:duration>63</video:duration>
      <video:publication_date>2026-03-20T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/fundamentos-ia-iag/02-que-es-ia-generativa/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/fundamentos-ia-iag/02-que-es-ia-generativa.jpg</video:thumbnail_loc>
      <video:title>What is Generative AI?</video:title>
      <video:description>How generative AI works: from embeddings and the Transformer to foundation models. Scaling laws, LLMOps, and differences between LLMs, RAG, and agents.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/fundamentos-ia-iag/02-que-es-ia-generativa.mp4</video:content_loc>
      <video:duration>63</video:duration>
      <video:publication_date>2026-03-17T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/fundamentos-ia-iag/01-que-es-ia/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/fundamentos-ia-iag/01-que-es-ia.jpg</video:thumbnail_loc>
      <video:title>What is AI?</video:title>
      <video:description>What Artificial Intelligence is, how it works and how it evolved: from heuristics and Machine Learning to neural networks and foundation models.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/fundamentos-ia-iag/01-que-es-ia.mp4</video:content_loc>
      <video:duration>63</video:duration>
      <video:publication_date>2026-03-15T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/fundamentos-ia-iag/00_presentacion_serie/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/fundamentos-ia-iag/00_presentacion_serie.jpg</video:thumbnail_loc>
      <video:title>AI and Generative AI Foundations</video:title>
      <video:description>Introductory series on AI and generative AI: what they are, how they work, how they differ and what AGI means. For technical professionals and decision-makers.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/fundamentos-ia-iag/00_presentacion_serie.mp4</video:content_loc>
      <video:duration>53</video:duration>
      <video:publication_date>2026-03-15T00:00:00+00:00</video:publication_date>
    </video:video>
  </url>
  <url>
    <loc>https://5sigmas.com/en/videos/series/from-cave-to-agi/04-escalar/</loc>
    <video:video>
      <video:thumbnail_loc>https://5sigmas.com/en/series/from-cave-to-agi/04-escalar.jpg</video:thumbnail_loc>
      <video:title>Scale — deep learning to foundation models</video:title>
      <video:description>A short video explanation of Scale — deep learning to foundation models.</video:description>
      <video:content_loc>https://5sigmas.com/en/series/from-cave-to-agi/04-escalar.mp4</video:content_loc>
      <video:duration>63</video:duration>
    </video:video>
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