#17 Stackability use case: AI for your music production company

In this episode, we speak with Jack Kuveke of Jabroni Capital. Jabroni Capital is a satirical newsletter that pokes fun at venture capital and VC culture. We discuss how the current state of venture capital investing in AI stacks up against other emergent tech trends throughout history and also how Jack effectively avoids using AI to produce his newsletter.

In this episode we take a look at some real-life AI use cases for your music production company.

In this week's episode, I had an awesome conversation with Cahill Camden. Cahill is building some cool tech that services SMBs (small to medium-sized businesses) and specifically helps people who want to be on podcasts or source guests for podcasts they run. You can find it here: https://app.echojockey.com/

We are back—this time, with a new AI founders episode where we talk with Dan Chuparkoff, founder of Reinvention Labs. Dan has taken his 30+ years of tech experience and bottled it up into a highly addictive substance for companies who are indecisive about what they should be doing with AI. You can check him out below: https://www.linkedin.com/in/chuparkoff/

In this episode, we talk with the founder of GoCharlie AI Brennan Woodruff. Go Charlie is an AI assistant app that aims to make your team 10X more valuable by reducing the time it takes to create quality content. We talk about what it is like to be an AI founder when building AI today and also why puppies make good user experience companions. ---------------- https://gocharlie.ai/

OpenAI has just released a preview of its new text-to-video model. Is it all that it's cracked up to be? Does it work? We explore its current capabilities while Mike tries to use it to create a video sequence from one of his screenplays, and you won't guess what happens next. ***** Links from the show: https://openai.com/sora

This is it! The Super Bowl of LLM image model testing. In this episode, we test three leading closed-source image models with loaded prompts to see how biased they really are. Which one do you think is the most reliable? Which one has the most extreme bias in its results? This episode is a must listen. ******* Links from the episode: Google's past issues with primates https://www.forbes.com/sites/mzhang/2015/07/01/google-photos-tags-two-african-americans-as-gorillas-through-facial-recognition-software/

In this episode, we talk about imposter syndrome and how it relates to the generative AI movement. We talk about how it affects people of all pedigrees who might be thinking about establishing themselves in AI.

We sit down with Mark Shekleton, CEO of SmartSeal, to talk about the challenges of AI safety. Mark is an established AI expert and an active member of numerous AI safety organizations. Episode links: https://www.lesswrong.com/ https://smartseal.io/ https://cloud.google.com/learn/training/machinelearning-ai

In this episode, Ryan Carson, of maple.coach joins us as we discuss building AI products, exploring the latest trends and innovations shaping the future of AI app development.