Taku's Blog++: Gemini Just Leveled Up — The Perfect AI for Visuals, Knowledge Fusion & Presentation Docs

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https://www.youtube.com/watch?v=6rBe-2pV_L0&t=1s

This week's

Gemini　Evolution is INSANE！

Hyper-concrete breakdown ⚡️

① Massive base-level upgrade of Gemini 3
② Nanobanana Pro now creates any Japanese diagram
③ NotebookLM evolves to a whole new tier
④ AI Studio lets you turn everything into a tool

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This video breaks down Google’s generative-AI “Gemini” ecosystem through the three layers of:

• Evolution of Intelligence
• Evolution of Expressiveness
• Evolution of Integration

…and explains how these dramatic updates are causing a true paradigm shift in both business workflows and personal development processes.

Theoretical & Step-By-Step Summary:

Evolution of the Gemini ecosystem and its practical applications

The video’s structure shows how AI is evolving:

From simply “chatting” →
to “producing practical deliverables” →
to “developing your own custom tools."

Phase 1. Core Model Evolution （Gemini 3 / Canvas function）

Theory: Improved reasoning + structured output

Earlier AIs produced drafts at best.
The latest Gemini (“Gemini 3”) now generates structured data you can use in business as-is.

Canvas function:A workspace beside the chat where you can create/edit code and documents while previewing output in real time.

Examples:

Instantly generating and running a Pikachu voxel-art program
Advanced SVG diagram creation:producing complex conceptual diagrams as editable SVG parts for PowerPoint
More flexible than tools like Napkin.ai and integrates directly into existing workflows
Creating roadmaps (e.g., “Vibe Coding”) or animating complex AI agent workflows

Phase 2. A Revolution in Visual Expression （aka: Nanobanana/Imagen 3-class）

Theory: Unified semantic understanding + accurate text rendering

Traditional image-generation AIs struggled with:
• broken text (especially Japanese), and
• poor instruction-following.

Both are now dramatically improved — enabling AI to complete the entire design process on its own.

Getty Images

Instant generation of images with Japanese text: Can now create banners and infographics containing Japanese text without typos or garbled characters.

• Context understanding & proposal ability:Can interpret abstract business requests like
“Make this site look Christmas-themed” or “Design for this target audience,”
and output appropriate design concepts.

Examples:

Instantly generates EC-site banners tailored to different target segments
Converts a slide outline directly into a single infographic image

Phase 3. Integration of Information & Multimodal Output （NotebookLM）

Theory: Reconstruction of existing information (curation & synthesis)

NotebookLM’s ability to ingest user data (PDFs, videos, text) and transform it into entirely new output formats has been dramatically improved.

New features (Slide & Infographic Generation):
Just upload materials or paste a video URL, and it automatically generates visual slides or summary graphics.

Cross-source analysis:
Can analyze multiple videos (e.g., 17 videos) and consolidate them into one systematic document.

Impact:The entire workflow—from outlining to drafting—shrinks from 1–2 hours to a few minutes.

Phase 4. Democratization of Tool-Building （Google AI Studio / Build function）

Theory: “Vibe Coding”—intuitive, conversational programming: We are shifting from using a general-purpose AI chat window→ to building custom mini-apps tailored to our own workflows.

Google AI Studio (Build):

Even without programming knowledge, you can simply describe the tool you want, and it generates an app that incorporates Gemini 3 and image-generation models.

Vibe Coding: Instead of writing detailed code, you iterate through conversation—adjusting features “by vibe,” refining and expanding the tool with AI.

Examples:

- - A tool that generates three different infographic drafts simultaneously
  - A PDCA tool that analyzes thumbnail images, suggests improvements, and regenerates them

Summary: What exactly "changed the era"?

The repeated phrases in the video—

“Everything has changed”
“It's insane” —
come from these three shifts:

Dimension of Change	Before	After (Gemini 3 / Nanobanana era)
Quality of output	Just drafts / idea sketches	Ready-to-use assets (SVGs, text-on-image)
Usability	Required prompt engineering	Canvas / Vibe Coding enables intuitive edits
Role of AI	Passive chatbot	Active tool-builder (building your own apps)

Conclusion: From now on, the advantage won’t come from using what AI gives you.

It will come from your ability to:

• Build your own workflow-specific AI tools (AI Studio)
• Instantly generate expressive, polished assets (Nanobanana)
• Integrate and synthesize information across formats (NotebookLM)

The ability to create this autonomous AI-powered workflow will define the decisive productivity gap in the years ahead.