Guest Mihail Eric, co-founder of Storia AI, discusses the significance of human sentiment in an AI-driven era. They explore the evolution and impact of image generation models, the challenges of MLOps, and the importance of developer-friendly APIs. They also discuss fundraising struggles, the need for solid foundations in image generation, and the vision of creating generalized building blocks for different industries.
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Quick takeaways
Developer-friendly tools and APIs are essential for customizing AI models in the field of image generation.
AI should be viewed as a supplement to human creativity and not a replacement, emphasizing the importance of education and accurate information.
Deep dives
The challenge of building an AI ecosystem
The podcast episode discusses the challenge of building a comprehensive ecosystem for AI, particularly in the field of image generation. The hosts emphasize the need for developer-friendly tools and APIs that enable users to customize and fine-tune AI models. They also highlight the importance of providing a range of applications and examples to showcase the potential of AI in different industries. Additionally, they address concerns and misconceptions about AI replacing human creativity and emphasize the role of AI as an assistive tool rather than a replacement. Overall, they stress the importance of striking a balance between technological advancements and human creativity.
The impact of AI hype on the entertainment industry
The episode delves into the impact of AI hype on the entertainment industry, particularly in Hollywood. The hosts discuss concerns raised by industry professionals about AI potentially replacing human workers, such as scriptwriters, editors, and creative directors. They emphasize the need for education and accurate information to combat misunderstandings and anxieties surrounding AI. They make the case that there is a fundamentally human element to the arts that cannot be replicated by AI and that AI should be viewed as a supplement to human creativity rather than a replacement. They also highlight the importance of proper attribution and compensation within the industry as it relates to AI-generated content.
Building a horizontal platform for image generation
The hosts explain their vision of building a horizontal platform for image generation. They discuss the need to provide developer-friendly tools and APIs that offer flexibility and customization options to accommodate various use cases. They highlight specific applications such as video games, entertainment, interior design, architecture, marketing, and print-on-demand, where image generation can play a significant role. They emphasize the goal of assisting developers in building applications that leverage AI to enhance creativity and productivity while working harmoniously with human input and expertise.
Mihail Eric is an engineer, researcher, and educator who has helped start teams at innovative organizations such as Amazon Alexa and RideOS.
Mihail is a cofounder of Storia AI where they build an AI-powered creative assistant for fast and delightful image and video generation.
MLOps podcast #200 with Mihail Eric, Co-founder of Storia AI, Founding, Funding, and the Future of MLOps.
// Abstract
Demetrios and Mihail journey deep into the significance of human sentiment in an increasingly AI-driven era, the perils and promises of conversational AI, and the evolution and impact of image generation models.
Delve into the world of MLOps versus LLMOps, offering clarifying perspectives on how the core concerns and technology persist, even amidst an evolving tech landscape with new buzzwords making waves. Mihail generously provides an inside look at his AI tool and its wide range of applications across various industries, offering insights on interesting niche-specific verticals and unexpected use cases.
// Bio
Mihail is a co-CEO of Storia AI, an early-stage startup building an AI-powered creative assistant for video production. He has over a decade of experience researching and engineering AI systems at scale. Previously he built the first deep-learning dialogue systems at the Stanford NLP group. He was also a founding member of Amazon Alexa’s first special projects team where he built the organization’s earliest large language models. Mihail is a serial entrepreneur who previously founded Confetti AI, a machine-learning education company that he led until its acquisition in 2022.
// MLOps Jobs board
https://mlops.pallet.xyz/jobs
// MLOps Swag/Merch
https://mlops-community.myshopify.com/
// Related Links
Website: www.mihaileric.com
https://www.storia.ai/
--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Mihail on LinkedIn: https://www.linkedin.com/in/mihaileric/
Timestamps:
[00:00] Spotify playlist
[02:08] How to live a longer healthier life
[03:43] Absurd sweater collection
[06:03] The catch-up episode
[08:10] MLOps versus LLMOps
[13:27] AI apps mixing visuals and text
[16:00] Founder dating
[16:54] Stable diffusion and difficulties with Mid Journey
[23:12] Stripe developer experience
[25:04] APIs and Model Providers
[27:33] Host stable diffusion on AWS
[34:07] AI Creativity: Prompt Experimentation
[35:45] AI Challenges and Solutions
[39:51] AI Hype Frustration
[44:31] AI Impact on Hollywood
[48:11] AI Impact on Filmmaking
[51:48] Generalizable Tool for Verticals
[52:49] MLOps versus LLMOps
[56:42] Wrap up
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