What if a single sentence could generate a full production-grade app—front end, backend, database, dashboards, payments, mobile, and even e-commerce?

In this episode, Vishal Virani, CEO of Rocket, shows us how their “vibe coding” platform is redefining software creation.

This is the most complete, end-to-end demo we’ve seen: from one-shot app generation, to fully native Flutter mobile apps, to PayPal-powered storefronts, to slash-command precision edits, to automatic API integrations using Postman.

Check out Rocket here: https://www.rocket.new/?utm_source=youtube&utm_medium=superhuman&utm_campaign=podcasttutorial

We dive into:
- How Rocket turns a single sentence into full production-grade apps
- One-shot app generation and why prompts no longer need 40+ messages
- Building real dashboards, internal tools, and enterprise apps automatically
- Native mobile apps with Flutter generated in minutes
- PayPal storefronts with inventory, payments, analytics, and dynamic product creation
- Slash-command precision mode for reliable UI, API, and color/theme changes
- Superbase authentication, email alerts, multilang, and dynamic asset generation
- Automatic API integration with Postman—no hallucinations, no manual wiring
- How Rocket thinks about “vibe coding” vs true production solutions
- A preview of Rocket’s upcoming autonomous research engine: from idea → competitive analysis → what to build next

If you want to see how AI is collapsing the entire software development stack—from concept to fully functional product—this is one of the most advanced demonstrations to date.

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What if you could generate viral TikTok and Instagram content every single day—without filming, editing, or even opening the apps? In this episode of the Superhuman AI Podcast, we sit down with Tibo Maker, founder of Revid, to explore the AI engine that can turn any creator into a full-time content machine.

Tibo walks through how Revid creates dozens or even hundreds of short-form videos automatically using your avatar, your voice, and trending content pulled from X. From scraping high-performing posts to building talking-head clips and auto-publishing them to TikTok, Reels, and YouTube Shorts—Revid handles the entire process end-to-end.

We dive into:
- How Revid creates viral short-form videos from a single idea or tweet
- Generating dozens of videos automatically using your avatar or voice
- Auto-publishing to TikTok, Instagram, and YouTube Shorts every day
- Why this format consistently hits hundreds of thousands of views
- How creators are scaling content output to “infinite” with AI
- When manual editing still matters—and when to let AI take over
- Why Tibo believes AI will redefine the entire creator workflow

If you’re a creator, founder, or operator looking to scale your social presence without burning out, this episode shows how AI can turn you into a content engine overnight.

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Today’s AI can write code, pass exams, and generate images, but it still doesn’t know how to learn. In this episode of the Superhuman AI Podcast, we sit down with Ashfaq Munshi, CEO of Pepperdata and former CTO of Yahoo, to unpack what he calls the real problem with AI: models don’t build world models, don’t learn from experience, and don’t improve the way a child does.

Ashfaq walks through the missing pieces in today’s LLMs, why world models and true learning will define the next decade, and how deep infrastructure from chips to Kubernetes to GPUs to power grid underpins every “AI breakthrough” headline you see. He also breaks down how Pepperdata squeezes 20-30% more efficiency out of massive GPU and Kubernetes clusters for some of the world’s biggest companies.

We dive into:
- Why Ashfaq believes today’s AI models “don’t know how to learn”
- World models, robotics, and what real learning would look like
- The hidden infrastructure stack that makes modern AI possible
- How Pepperdata optimizes GPUs and Kubernetes to save real money
- Data centers, power, cooling, and the coming energy crunch
- US vs China in AI: talent, chips, research, and long-term advantage
- Career advice for builders who want to work on decade-long problems

If you care about where AI goes after the current hype cycle down at the metal and up at the level of real intelligence this conversation with Ashfaq cuts straight to the core issues.

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