AI Experts Respond: 9 Points Where Elon Got Image Generation Wrong

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• AI Experts Respond: 9 Points Where Elon Got Image Generation Wrong

• 9 Design Projects in 3 Days: Vectornator Boosts Creativity by 30%

• Quick Tips

• 5 AI design tools

Read time: 4 minutes

Today’s AI Design Breakthrough

AI Experts Respond: 9 Points Where Elon Got Image Generation Wrong

TL;DR: Elon Musk recently promoted AI-generated images via X’s Grok bot that were actually photo edits, not true AI creations. This incident highlights a mismatch between public expectations and generative AI’s current capabilities—especially when it comes to originality and dataset limitations.

🔍 Short Paragraphs

Musk shared stylized images of people inside musical instruments, crediting them to Grok’s generative AI. Instead, photographer Charles Brooks pointed out that the images were real photos he took and that users simply provided these as reference material—Grok only added figures to existing photos.

This mix-up revealed a gap in Musk’s understanding of how AI image generators actually work—they remix training data or use references, but can't invent detailed content that’s absent from their dataset, especially for rarer visuals like instrument interiors.

Brooks emphasized he didn’t mind derivatives—“just credit me”—but discovered X concealed his response. The episode raises broader concerns about transparency, proper attribution, and tech hype overshadowing real capabilities.

🎯 Highlights

• Photo remix, not creative AI: Grok didn't generate new visuals—it used Brooks’ images with minor additions.

• Credibility at stake: Musk's post reflects a misunderstanding of generative AI’s current limitations.

• Call for transparency: Brooks asked only for attribution—yet X hid his clarification.

📌 Why it matters

• Trust in AI depends on users knowing when output is original versus derivative or referenced.

• Attribution culture is vital as AI tools rely heavily on human-created source material.

• Tech leaders' influence can either inform or mislead the public depending on how accurately they present what tech can do.

💡 Actionable Insight

If you're showcasing AI-generated work, be transparent: indicate when you're working from reference materials, what edits are AI-made, and who contributed the original assets. Promote clarity—it preserves trust and keeps expectations aligned with reality.

Tool Spotlight

9 Design Projects in 3 Days: Vectornator Boosts Creativity by 30%

Tool of the Day: Linearity Curve (formerly Vectornator)

Linearity Curve is a professional-grade vector graphic design tool built for precision, speed, and collaboration—ideal for creating logos, illustrations, UI mockups, and marketing visuals across web, iPad, and Mac.

Scenario

Use Linearity Curve when you need to design sharp, scalable graphics like icons, logos, or app interfaces—especially if you prefer a touch-optimized workflow on iPad or a free alternative to tools like Adobe Illustrator.

Value

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How It Works

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2. Use intuitive vector tools—like pen, shape builder, and typography—to create or edit assets.

3. Export in multiple formats or sync with other apps in the Linearity ecosystem for animation or branding.

Prompt of the Day

Today's Style: Gilded Mythos

Example:

Quick Tips

Title: "Create Unique Color Palettes with Khroma AI"

Tip: Use Khroma’s AI-powered color generation to discover personalized color schemes that match your design style.

How to Use Khroma for AI-Powered Color Palette Generation:

1. Train Khroma’s AI on Your Preferences:

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4. Use in Your Designs:

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5. Export and Share:

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Recommended Tools Today

Strique: AI marketing tool for insights and automation.

Hubspot: Grow your business faster with HubSpot's customer platform.

GenYOU: Generate personalized AI portraits and photos for free.

Inkwise AI: Create documents from uploaded files with AI.

Collegebot.ai: Academic and job search assistance with AI.

Wrap-Up

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