Authority Hacker Podcast – AI & Automation for Small biz & Marketers Is Google's new Image Model OVERHYPED ? (Test Results)
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Aug 29, 2025 Is Google's latest image AI a game changer or just hype? The hosts test Gemini 2.5 Flash, revealing a significant jump in performance but notable flaws, like context loss after a few generations. They explore its effectiveness in YouTube thumbnails and Facebook ads, alongside critical safety concerns. Plus, they introduce two useful new tools: PicShop and Co-Drawing. The discussion delves into AI's impact on advertising and how it compares to traditional methods, raising the question of whether it's worth switching from current AI workflows.
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Progress Without Perfection
- Gemini 2.5 Flash is a meaningful step forward but not a complete revolution.
- It still makes basic context and common-sense errors after multiple edits.
Factor Cost Into Model Choice
- Use the Gemini API for cheaper image generation at about $0.04 per image.
- Consider cost differences vs OpenAI when choosing a production workflow.
Thumbnail Mashup Worked—But Was Editing, Not Recreation
- Mark combined an Ali Abdaal thumbnail screenshot with his studio photo and got a convincing edit.
- Gemini often edits (cuts) the uploaded subject rather than fully regenerating them, preserving likeness.