Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

IBM’s cloud crisis deepens: 54 services disrupted in latest outage

MIT’s new tech enables robots to act in real time, plan thousands of moves in seconds

ClickHouse reels in $350M for its high-speed columnar database

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • Adobe Sensi
    • Aleph Alpha
    • Alibaba Cloud (Qwen)
    • Amazon AWS AI
    • Anthropic (Claude)
    • Apple Core ML
    • Baidu (ERNIE)
    • ByteDance Doubao
    • C3 AI
    • Cohere
    • DataRobot
    • DeepSeek
  • AI Research & Breakthroughs
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Education AI
    • Energy AI
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Media & Entertainment
    • Transportation AI
    • Manufacturing AI
    • Retail AI
    • Agriculture AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
Advanced AI News
Home » Can We Please Still Have Nice Things That AI Hasn’t Touched?
Crunchbase AI

Can We Please Still Have Nice Things That AI Hasn’t Touched?

Advanced AI BotBy Advanced AI BotApril 15, 2025No Comments6 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


“The Wizard of Oz” — yes, that Wizard of Oz — is getting a full-blown AI makeover. Google Cloud and DeepMind, in collaboration with the Sphere in Las Vegas, have used something they’re calling “performance generation” and “outpainting” to enhance the film’s resolution and extend the background beyond what was ever shot.

According to Ravi Rajamani, managing director of generative AI engineering at Google Cloud, AI has “touched over 90% of the movie.”

Ninety. Percent.

Everyone is fawning over it, which, yeah, I get. We can all agree that technology is amazing. We’ve all marveled at what AI can do: generate realistic images, compose music, write essays, predict weather patterns, help doctors detect diseases, and so on.

But when Thomas Kurian, CEO of Google Cloud, says this isn’t really a cinematic experience, but an “experiential” one, I can’t help but sigh and think: Do we really need AI to touch everything?

Because some things — some beautiful, classic and already timeless things — are better left untouched. “The Wizard of Oz” is not just a movie. It is, for tens of millions of people, a memory, a mood and a moment. It’s that sepia-toned Kansas that bursts into technicolor magic. It’s Judy Garland’s voice trembling with hope as she sings “Over the Rainbow.” It’s the Tin Man rusting mid-sentence and the Cowardly Lion bawling like a baby. It’s the sound of ruby slippers clicking down a yellow brick road, and it is — crucially — enough as it is.

And now AI wants to “outpaint” it? Extend the background? Fill in scenery that never existed? It’s like someone taking a classic oil painting and saying, “You know what this Monet really needs? A few extra lily pads generated by machine learning.”

Pay no attention to the AI behind the curtain

I’m thrilled when AI helps people solve complex problems, enables creativity in new ways, or makes life easier for those who need it.

But there’s a difference between innovation and intrusion. There’s a line between enhancement and overreach. Somewhere along the way, tech giants like Google seem to have forgotten that not everything needs to be optimized, upscaled or AI-enhanced.

Some things are sacred. “The Wizard of Oz” is one of them.

I understand the argument: this is a new kind of experience. The Sphere isn’t just a theater, it’s a dome of digital immersion. You’re not just watching a movie, you’re “experiencing” it with full surround visuals, sensory stimulation and a production pipeline that would probably confuse even the Scarecrow with a brain.

But does that mean we have to rewrite and reskin every classic to fit into this new paradigm? What’s wrong with screening the original film as-is?

Let it breathe. Let it play, untouched, for new generations to experience the same magic that’s captivated audiences for nearly a century. Imagine watching Dorothy step into Oz in that original 1939 technicolor glory, in a dome that simply celebrates the original rather than trying to reinvent it.

Instead, it feels like the industry is treating classic art as raw material for whatever the latest tech buzzword is. This time it’s “performance generation.” Next time, it’ll be something else.

We’re already seeing AI-generated actors in ads, AI-written scripts and deepfakes in entertainment. Are we heading toward a future where no piece of media is ever considered finished? Where even the most iconic stories are endlessly retooled, reprocessed and reimagined by machines until the original is a ghost of itself?

There’s something particularly ironic about “The Wizard of Oz” being the test subject here. A story that’s about the power of imagination, about finding your way home, about the heart, brains and courage inside us — not inside a data center in Silicon Valley. It’s a deeply human film. It’s messy and charming and grounded in emotion and theatricality and, yes, the limits of 1939 production technology.

But those limits are part of the charm. The painted backdrops, the practical effects and the costumes don’t detract from the story. They enhance it, because they remind us that real people made this.

I’m not saying we should freeze art in time and never touch it. There’s value in restoration, remastering and making things accessible to new formats and audiences. But there’s a difference between polishing a gem and melting it down to make a whole new piece of jewelry.

This version of Oz feels like the latter.

Where does the yellow brick road of AI lead us?

I also worry about the precedent this sets. Today it’s “The Wizard of Oz,” tomorrow “Casablanca” with AI-generated colorization and new dialogue, next week, “The Godfather” with new story arcs and actors reverse-aged by AI. Eventually, are we going to let algorithms rewrite “Citizen Kane” because some machine learning model predicts a different ending would have more “emotional engagement per second?”

Let me be clear: it’s not that this AI remake of Oz won’t be cool. It probably will be. I’m sure it’ll be wild to see flying monkeys in 360 degrees. But cool doesn’t always mean necessary, and it definitely doesn’t mean better.

There’s a certain arrogance in thinking everything needs to be remade through today’s tech, as if the original isn’t enough unless it’s been algorithmically enhanced. But some stories are powerful because of their limitations, their imagination and the memories they hold. We don’t need AI to re-thread what already connects generations.

So go ahead, Google — build your wonderland. But remember: Sometimes the magic is already there — no need to outpaint it.

Aron Solomon is the chief strategy officer for Amplify. He holds a law degree and has taught entrepreneurship at McGill University and the University of Pennsylvania, and was elected to Fastcase 50, recognizing the top 50 legal innovators in the world. His writing has been featured in Newsweek, The Hill, Fast Company, Fortune, Forbes, CBS News, CNBC, USA Today and many other publications. He was nominated for a Pulitzer Prize for his op-ed in The Independent exposing the NFL’s “race-norming” policies.

Related reading:

Illustration: Dom Guzman


Stay up to date with recent funding rounds, acquisitions, and more with the
Crunchbase Daily.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleMoveworks joins AI agent library craze
Next Article China Throws Down AI Gauntlet to Nvidia and Broadcom in $8.2B State Funding Program
Advanced AI Bot
  • Website

Related Posts

Defense Tech Leads Week With Anduril’s $2.5B Raise

June 6, 2025

After No Funding For Years, These Startups Recently Scooped Up Big Rounds

June 6, 2025

Defense Tech Unicorn Anduril Powers Up With $2.5B At $30.5B Valuation

June 5, 2025
Leave A Reply Cancel Reply

Latest Posts

16 Iconic Wild Animals Photos Celebrating Remembering Wildlife

The Timeless Willie Nelson On Positive Thinking

Jiaxing Train Station By Architect Ma Yansong Is A Model Of People-Centric, Green Urban Design

Midwestern Grotto Tradition Celebrated In Sheboygan, WI

Latest Posts

IBM’s cloud crisis deepens: 54 services disrupted in latest outage

June 8, 2025

MIT’s new tech enables robots to act in real time, plan thousands of moves in seconds

June 8, 2025

ClickHouse reels in $350M for its high-speed columnar database

June 8, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

YouTube LinkedIn
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.