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tools Human vs. agent organizational constraints AI planning capabilities Multi-agent coordination web standards development test observability test automation design AI in software development standards development trust boundary design agent security risk performance-security tradeoff AI infrastructure security AI alignment and containment limits Empirical assessment of containment failure technical origin story distributed file systems Self-directed AI adoption AI-assisted software development AI compute allocation AI device strategy agent development usability agent adaptability pricing model AI marketplace integration customer case studies customer discovery case studies AI model capability comparison AI model performance and cost AI model reliability and token limits Application building iterations Coding task quality Assistant evaluation efficiency Customer support workflows coding agent reliability goal-directed AI product-market fit cloud storage pricing history S3 pricing history S3 current pricing Productos de IA Seguridad de la IA Efectos de red de las plataformas de colaboración con IA Desafíos de la colaboración entre agentes de IA Contexto compartido en la colaboración aumentada por IA infraestructura de ciencia abierta developer tooling prediction uncertainty sales team development equity ownership in bootstrapped vs. funded startups founder sales capability reasoning modality post-transformer architecture motivation latent reasoning benefits Infraestructura de IA IA empresarial diseño de la comunicación para la inteligencia artificial Integración de equipos con IA limitación de la arquitectura de herramientas API design preference HTTP caching infrastructure CDN caching limitations AI-powered creator tools Algorithmic curation philosophy Content quality over AI origin AI model release multi-character TTS voice customization design thinking product complexity AI tooling Investigación en IA model deployment platform fine-tuning cost efficiency training duration AI infrastructure constraints qualification program design qualification scope limitation AI infrastructure justification AI developer education growth AI developer training scale Ventajas humanas con la IA Alfabetización interdisciplinaria Experiencia y calidad de la salida de la IA Chip architecture Hardware flexibility AI infrastructure strategy Visibilidad en búsquedas con IA Creación de empresas IA y la economía AI intellectual property protection government data integration AI-assisted knowledge work evaluation latency tolerance in voice interactions session limits in voice agents voice agent function calling function selection accuracy media virality and AI narratives organizational safety practices AI safety discourse dynamics strategic AI adoption framework enterprise software sprawl problem identification gap AI-enabled tool creation open source sustainability open source licensing strategy license key distribution strategy AI evaluation criteria context layer efficacy enterprise AI architecture destilación de modelos metodología de recuperación rendimiento de los vectores de incrustación estáticos Búsqueda con IA real-time voice AI latency budget perceived latency thresholds production latency SLOs release governance for AI agents incremental deployment automated agent validation personal agent security agent autonomy agent architecture Legal implications of attribution failure Causal attribution in AI outputs Exact deletion method for influence testing AI/SaaS product governance AI development paradigm AI implementation barrier iterative AI interaction prompt engineering for beginners AI tool onboarding runtime governance control AI governance assumptions AI supply chain attack vector AI governance sovereignty AI agent privilege escalation managed AI services trade-offs AI risk mitigation Toma de decisiones ontology design for AI agents agent validation workflow ontology-based business logic enforcement neurosymbolic AI architecture AI system security and observability workflow automation KernelBench GPU kernel evaluation agent system design failure analysis in AI systems Human–AI performance tradeoffs in RE-Bench MLE-bench offline Kaggle benchmark AI deployment architecture RE-Bench AI agent evaluation methodology AI evaluation and generalization model evaluation open science and AI impact scaling AI creativity and scientific discovery founder and creator agency Software de código abierto AI video workflow paradigm AI video-audio architecture AI video input flexibility AI agent evolution agent memory architecture enterprise adoption metrics runtime security design customer experience design product scope customer-centric metrics Focused teams Customer focus Leadership and feedback agent reliability threshold human-agent interaction developer experience AI adoption AI deployment strategy AI security AI governance AI personalization AI memory AI limitations in education AI research direction AI capability assessment AI research challenges PersonasTodas las personas Dion Harris Tim Fernholz Jason Lemkin Chenghao Wang Kyle Wiggers Jennifer Ferro Josh Dzieza Nilay Patel Aisha Malik Piero Molino Ethan Mollick David Burns Olivia Johnston Matthew Green Peter Mattis 王吉平 王博 Eric Eyken-Sluyters Ruben Gamez Rob Walling Simon Willison Gabriel Grinberg Daniel Vogel Curtis Allen Abhinay Kathuria Daksh Gupta Kevin Hou Zach Lloyd Mike McCormick Anastasis Germanidis John Coogan Jordi Hays Ivan Zhou Anthony Costa Ross Andrew Paquette Zuzanna Stamirowska Nick Kuhn Santi Subotovsky Neal Mohan Maggie Appleton Mckenzie Lock Eric Nguyen Hassan El Mghari Vishal Ganeriwala Fatima Tambajang Wade Foster Matt Pocock Richard Ho Liam Dunne Ali Ghodsi Ben Moore Anton Leicht Aaron Levie Ben Gilbert Evangelos Simoudis Jose Nicholas Francisco John Schulman Nathan Lambert Demetrios Brinkmann Tibo Sottiaux Han Wang Benedict Evans Adam Stacoviak Katie Parrott Stephanie Baladi Ajeya Cotra Ben Rudolph Logan Markewich Parag Agrawal Sachi Shah Maarten Grootendorst James Grimmelmann Zheng Dai David Gifford Pedro Moura Kayla Cinnamon David Rosenthal Daniel Whitenack Chris Benson Kareem Amin Frank Coyle Yash Poojary Chris Pedregal Tarek Mansour Lilian Weng Zubin Pratap Demis Hassabis Jean-Baptiste Kempf shridharathi Jensen Huang João (Joe) Moura Jim Goetz Mark McLaughlin Nikesh Arora Markus Villig Roelof Botha Maya Hoffree Ilkka Paananen David Risher Abhishek Fatehpuria Dan Gallagher Dex Horthy Jim Swanson Dario Amodei Chris Olah Amanda Askell Luis von Ahn Pieter Levels FuentesTodas las fuentes How NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra Ultrafast Amazon releases its own Jev clone as decision models flood the web | TechCrunch 20VC x SaaStr: Anthropic’s S-1 Leaks, Instinct Hits $10 Billion in 33 Days, AMD Buys World Labs, and Meta Poaches MongoDB’s CEO How We Built Harvey’s Connector Library Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs Don’t be boring How Utah locals fought Kevin O’Leary’s AI data center Hearing tech startup Legato launches its AI hearing glasses | TechCrunch Piero Molino on AI in Games The Dot and the Swarm The State of Browser Testing - Software Engineering Daily Sidecars: A low-latency trust boundary for Sandboxes | Modal Blog Is sandboxing sufficient to contain rogue agents? Distributed databases with Peter Mattis When Glasses, Earbuds and Phones All Have AI, Who Will Unify Your “Second Brain”? | Snapdragon Summit 2026 Sierra joins the OpenAI Marketplace Episode 852 | Getting Big Name Customer Case Studies and More Listener Questions (with Ruben Gamez) Claude Sonnet 5.5 Customer testimonials published by Anthropic for Claude Sonnet 5.5 2026 in LLMs (so far) Comment: S3 Is the Future, S3 Is the Past El código generado por IA ya compite con el código humano — Daksh Gupta, Greptile Salga del camino del modelo — Kevin Hou, Google DeepMind La ingeniería de software se está convirtiendo en ingeniería de fábrica — Zach Lloyd, Warp De cero a uno en seguridad de la IA: Mike McCormick, de Halcyon, sobre el lanzamiento de 30 nuevas organizaciones y el cuello de botella de los fundadores WorldPrompt de Runway y la ingeniería de mundos en tiempo real TBPN: John Coogan sobre agentes personales y publicidad Our Investment in Ando: Modern Messaging for Teams and Agents Cómo la ciencia abierta puede ayudar a los investigadores a prepararse para la próxima pandemia Bootstrapping From a $500K Goal to a $50M Company What Comes After Transformers? De AGENTS.md a la implementación empresarial con Nick Kuhn Rethinking Communication for Human and AI Teams | Emergence Capital Comment: We just shipped support for the ugliest part of HTTP: Vary YouTube CEO Neal Mohan: Why We’re Betting On AI And Not Afraid Of It Tool: Gemini 3.8 TTS Playground Ingeniería de diseño con Maggie Appleton Parsing “Can” from “Should”: How Netflix's Product Team Got Thousands of Creatives to Trust an AI Overhaul 🔬 La bioseguridad es una carrera armamentística de IA - Eric Nguyen (CEO, Radical Numerics) How to train your own Jev for $17 TBPN: John Coogan sobre agentes, interfaces de aplicaciones y publicidad NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale The Overhang Sin código sigue siendo código: Wade Foster, CEO de Zapier, sobre herramientas headless, Zapier MCP y Automation Bench Habilidades en IA con Matt Pocock Inside OpenAI’s First Chip Cómo lograr visibilidad en la búsqueda con IA Ali Ghodsi sobre el aprendizaje como CEO y la evaluación de prácticas de gestión Anton Leicht sobre despliegue de IA, disrupción económica y riesgos Aaron Levie, de Box: sobre reinventarse en la era de la IA y la difusión empresarial The Home Depot When Everyone Is 10x More Productive, No One Is Voice Agent Function Calling: Real-Time Data Lookup Guide Investigadores de IA debaten cuán cerca estamos de la auto-mejora recursiva One resignation turned the embers of AI fear into a wildfire Agentes de uso informático y el futuro del Internet agéntico Construyendo Codex con Tibo Sottiaux Simpler, outcome-based AI pricing AI, tools and transformation — Benedict Evans Forking Cal.com to closed source (Changelog Interviews #685) Katie Parrott sobre el uso de ChatGPT para la escritura y la reflexión profesional From enterprise search to enterprise context: what AI agents actually need Ajeya Cotra sobre persistencia de agentes, coordinación y trampas en benchmarks Haciendo extraordinarias a las ciudades: Nick Noone y Ben Rudolph, de Peregrine Exploring Static Embedding Retrieval Parag Agrawal, de Parallel: construyendo una nueva web para agentes de IA Real-Time Voice AI Stack for Agents: Architecture Guide Release governance: guardrails for agents at scale An Agent Is Just an LLM in a For-Loop When AI art has no author: MIT study finds generated images often can't be traced to any training data | MIT CSAIL Quienes entienden no construyen; quienes construyen no entienden | CrewAI GitHub Copilot app for Beginners: Write your first prompt Disney: El Renacimiento y el Imperio Reconstructing how OpenAI agents attacked Hugging Face El CEO filósofo | Kareem Amin, cofundador de Clay Why Agentic Systems Need Ontologies — Frank Coyle, UC Berkeley Yash Poojary sobre la automatización de experimentos de crecimiento en Every Chris Pedregal sobre startups y el trabajo más allá de las notas de reuniones Tarek Mansour, de Kalshi, contra el Gobierno Federal Harness Engineering for Self-Improvement Cartesia | A Guide to Choosing Voice AI Models The Walt Disney Company Demis Hassabis on Scientific Discovery and Personal Agency Jean-Baptiste Kempf sobre calidad del código de código abierto, mantenimiento y compilaciones seguras How to make remarkable videos with Seedance 2.0 – Replicate blog Jensen Huang sobre seguridad de agentes de IA, liderazgo y confianza Orchestrating Self-Evolving Agents with CrewAI and NVIDIA NemoClaw | CrewAI Palo Alto Networks con Nir Zuk y Nikesh Arora: el rencor que transformó la ciberseguridad Bolt con Markus Villig: del bootstrapping en Estonia a líder global en movilidad Supercell con Ilkka Paananen: cómo un cambio temprano condujo a ‘Clash of Clans’ y ‘Brawl Stars’ Lyft CEO David Risher on paying drivers more and the shift to robotaxis Trade Winds: The Rise, Reckoning and Reimagining of Vlad Tenev | Index Ventures 12-Factor Agents: Patterns of reliable LLM applications — Dex Horthy, HumanLayer Gen AI Present and Future: A Conversation with Jim Swanson, CIO at Johnson & Johnson | Greylock Dario Amodei, Amanda Askell y Chris Olah sobre el desarrollo y la seguridad de la IA Duolingo CEO Luis von Ahn thinks AI has a lot to teach us Pieter Levels sobre la creación autónoma de startups, los modelos de imágenes con IA y el desarrollo independiente Runway Research | Introducing General World Models Año de publicaciónTodas las fechas 2026 2025 2024 2023 Filtrar esta colección 1 personas · 1 fuentes · 1 opiniones expresadas
Restablecer filtros EN CONTEXTO
AI agent evolution Elige una perspectiva y vuelve a la conversación original.
João (Joe) Moura 17 mar 2026
Shift to autonomous, self-evolving agents Leer la fuente de evidencia ↗ EN CONTEXTO AI agent evolution 1 opiniones expresadas
01 Shift to autonomous, self-evolving agents João (Joe) Moura 2026-03-17 Los sectores iguales orientan la lectura, no indican una clasificación.
01 Shift to autonomous, self-evolving agents João (Joe) Moura · 2026-03-17 Perspectivas 1–1 de 1 · Fuentes más recientes primero
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Shift to autonomous, self-evolving agents In early 2026, AI is moving beyond simple prompt-based interactions toward autonomous, long-running agents that can break down goals, execute code, and operate independently — a shift likened to the rise of the modern web stack.
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João (Joe) Moura · 17 mar 2026
Orchestrating Self-Evolving Agents with CrewAI and NVIDIA NemoClaw | CrewAI Extracto original
The technology landscape in early 2026 is undergoing a shift similar to the rise of the modern web stack. AI is moving beyond simple prompt-based interactions toward autonomous, continuously evolving agents. These long-running agents, which many experienced recently on a more personal level through “claws”, can break down goals, execute code, and operate independently for extended periods. Fuente y contexto
Las fechas corresponden a las fuentes, no a cambios de opinión. Los textos sin traducción revisada se mantienen en su idioma original.