Podcast thumbnail for Ivancast Podcast

Ivancast Podcast

Claim This Podcast

by IVANCAST PODCAST

5.0(4 reviews)
173 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇪🇨
58

Podcast Authority

Beta
FairBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality54
Social0
YouTube76
Engagement76

Podcast Overview

IVANCAST PODCAST - The first multilingual podcast of Ecuador. IVANCAST explores the experiences of humans of the world who either live in the Ecuadorean Amazon Rainforest or are doing soulful, creative things all over the globe.

Language

🇺🇲

Publishing Since

8/20/2019

Unlock The Full Podcast Authority Score Report

See how your podcast performs across key metrics

58

Podcast Authority

Beta
FairBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality54
Social0
YouTube76
Engagement76
7
Excellent Areas
1
Good Performance
11
Growth Opportunities
excellent
Episode Length
20 minutes
Performing excellently!
good
Publishing Consistency
Every 12 days

Recommendations available

Unlock the full report to see detailed tips

poor
Episode Thumbnails

Recommendations available

Unlock the full report to see detailed tips

+16 More Metrics

Unlock comprehensive insights including:

  • • YouTube presence analysis
  • • Social media reach metrics
  • • RSS compliance scoring
  • • Podcast 2.0 features
  • • Technical standards
What's Included in Your Full Report

Detailed Analytics

  • Complete breakdown of all 19 authority metrics
  • Personalized recommendations for each metric
  • Industry benchmarks and comparisons
  • Technical RSS feed analysis and compliance scoring

Growth Strategies

  • Step-by-step action plans for improvement
  • Quick wins to boost your score immediately
  • Pro tips from successful podcasters
Get your free podcast insights report

See how your show performs across every key metric

Instant delivery
No spam
Attract Better Guests

High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.

Secure Sponsorships

Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.

Grow Your Audience

Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.

Reach the team behind Ivancast Podcast

Verified contact details for this show aren't on file yet — sign up to get notified when they land.

Recent Episodes

Episode thumbnail for Más allá del Hype: La IA como Sistema Colectivo y Mercado Inteligente

December 6, 2025

Más allá del Hype: La IA como Sistema Colectivo y Mercado Inteligente

En este nuevo episodio, SHIFTERLABS se sumerge en el paper “A Collectivist, Economic Perspective on AI”, donde Michael I. Jordan —una de las voces más influyentes en el campo del aprendizaje automático— propone una forma radicalmente distinta de entender la inteligencia artificial. A diferencia de la narrativa dominante, Jordan argumenta que los modelos de lenguaje no son “mentes individuales”, sino artefactos colectivos construidos sobre millones de contribuciones humanas. Además, plantea que la verdadera revolución no vendrá de más datos o más cómputo, sino de una integración profunda entre computación, inferencia y economía, tres estilos de pensamiento que deben guiar el diseño de los sistemas que hoy están moldeando nuestras sociedades. Exploramos cómo esta perspectiva cambia la forma en que imaginamos mercados digitales, privacidad, incentivos, modelos fundacionales, aprendizaje a gran escala y, por supuesto, el futuro de la educación en la era de la IA. Jordan nos invita a dejar atrás la ilusión cognitivista y a comprender la IA como parte de un ecosistema social y económico, donde humanos y máquinas coevolucionan. Este episodio es una invitación a mirar la IA con más madurez, menos magia y más responsabilidad colectiva. ¿Estamos diseñando “inteligencias” individuales, o estamos reconfigurando los cimientos de nuestras instituciones sociales? 🔍 Acompáñanos para descubrir por qué la próxima frontera de la IA no es técnica, sino humana, económica y cultural. 🎧 Mantente crítico. Mantente consciente. Con SHIFTERLABS. www.shifterlabs.com

Episode thumbnail for Loneliness, Dependence, and the Digital Heart: AI Chatbots & the Digital Age

March 22, 2025

Loneliness, Dependence, and the Digital Heart: AI Chatbots & the Digital Age

In this episode of our AI-focused season, SHIFTERLABS uses Google LM to unravel the groundbreaking research “How AI and Human Behaviors Shape Psychosocial Effects of Chatbot Use: A Longitudinal Randomized Controlled Study”conducted by researchers from the MIT Media Lab and OpenAI.   Over a span of 28 days and 300,000+ messages exchanged, 981 participants were immersed in conversations with ChatGPT across various modalities—text, neutral voice, and emotionally engaging voice. The study examined the psychological and social consequences of daily AI chatbot interactions, investigating outcomes like loneliness, social withdrawal, emotional dependence, and problematic usage patterns.   The findings are both fascinating and alarming. While chatbots showed initial benefits—especially voice-based ones—in alleviating loneliness, prolonged and emotionally charged interactions led to increased dependence and reduced real-life socialization. The study identifies vulnerable user patterns, highlights how design decisions and user behavior intertwine, and underscores the urgent need for psychosocial guardrails in AI systems.   At SHIFTERLABS, this research hits home. It validates our concerns and fuels our mission: to explore and inform the public about the deep human and societal consequences of AI integration. We’re not just observers—we are conducting similar experiments, and we’ll be revealing some of our own findings in the upcoming episode of El Reloj de la Singularidad.   Can machines fill the emotional void, or are we designing a new kind of digital dependency?   🔍 Tune in to understand how AI is quietly reshaping human intimacy—and why AI literacy and emotional resilience must go hand-in-hand.   🎧 Stay curious, stay critical—with SHIFTERLABS.   www.shifterlabs.com

Episode thumbnail for Emotional AI: When Chatbots Become Companions

March 22, 2025

Emotional AI: When Chatbots Become Companions

In this compelling episode of our research-driven season, SHIFTERLABS once again harnesses Google LM to decode the latest frontiers of human-AI interaction. Today, we explore “Investigating Affective Use and Emotional Well-being on ChatGPT,” a collaborative study by Jason Phang, Michael Lampe, Lama Ahmad, Sandhini Agarwal (OpenAI) and Cathy Fang, Auren Liu, Valdemar Danry, Samantha Chan, Pattie Maes (MIT Media Lab).   This groundbreaking research combines large-scale usage analysis with a randomized controlled trial to explore how interactions with AI—especially through voice—are shaping users’ emotional well-being, behavior, and sense of connection. With over 4 million conversations analyzed and 981 participants followed over 28 days, the findings are both revealing and urgent.   From the rise of affective cues and emotional dependence in power users, to the nuanced effects of voice-based models on loneliness and socialization, this study brings to light the subtle but powerful ways AI is embedding itself into our emotional lives.   At SHIFTERLABS, we are not just observers—we are experimenting with these technologies ourselves. This episode sets the stage for our upcoming discussion in El Reloj de la Singularidad, where we’ll present our own findings on AI-human emotional bonds.   🔍 This episode is part of our mission to make AI research accessible and spark vital conversations about socioaffective alignment, AI literacy, and ethical design in a world where technology is becoming deeply personal.   🎧 Tune in and stay ahead of the curve with SHIFTERLABS.   www.shifterlabs.com

173 total episodes available

Deep-dive analytics for Ivancast Podcast

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Ivancast Podcast?

IVANCAST PODCAST - The first multilingual podcast of Ecuador. IVANCAST explores the experiences of humans of the world who either live in the Ecuadorean Amazon Rainforest or are doing soulful, creative things all over the globe.

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 10 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

No, this podcast does not typically feature guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.