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Aug 29
49m 52s

Is Google's new Image Model OVERHYPED ? ...

Gael Breton & Mark Webster - Full Stack Online Marketers
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Is Google's new Gemini 2.5 Flash the image AI revolution everyone's claiming, or just another overhyped tool? 

AI influencers are calling it "insane" and "the best thing since sliced bread." 

But after 24 hours of brutal testing, we discovered the unfiltered truth.

In this episode, we go beyond the hype. including:

👉 The LM Arena results: Why it jumped 180 points above previous models (15% improvement)
👉 The YouTube thumbnail test: How it handles complex image combinations and edits
👉 The critical flaws: Why it loses context after 3-4 generations and creates fake "transparent" backgrounds
👉 The hidden gems: Two new Google tools (PicShop and Co-Drawing) that actually work
👉 Real-world tests: Facebook ads, infographics, text editing, and photo restoration
👉 The safety trap: Why it refuses to edit photos with children (even when it's you)
👉 Head-to-head comparison: How it stacks up against ChatGPT and Grok for the same tasks
👉 The $0.04 question: Is it worth switching from your current AI image workflow?

CHAPTERS
00:00:00 - Is Gemini 2.5 Flash Revolutionary or Overhyped?
00:00:59 - What is Gemini 2.5 Flash Image?
00:03:24 - LM Arena Benchmark Results
00:04:30 - YouTube Thumbnail Combination Test
00:07:00 - Facebook Ad Creation with Manta Mask
00:08:18 - Safety Issues with Children in Images
00:09:23 - Creating Brand Avatars
00:10:25 - Transparent Background Problems
00:12:44 - Using AI for Design Variations
00:14:40 - Mr. Beast Thumbnail Challenge
00:16:10 - Real Estate Infographic Test
00:18:02 - Text Editing Capabilities
00:20:01 - Airbnb Photo Editing (Ladder Removal)
00:22:32 - Van Gogh Style Transfer
00:23:27 - Glasses Removal Test vs Grok
00:25:07 - Google's New Tools: PicShop & Co-Drawing
00:28:03 - Why This Matters More Than GPT-5
00:30:26 - Perplexity Copyright Lawsuits
00:33:14 - AI Agents vs Automation Reality Check
00:39:10 - N8N and Make.com Pricing Changes
00:43:19 - Current AI Model Selection & Stack

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