Gemini3 Slides

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Below is a slide-ready deck outline (≈14–18 slides) covering:

  • Gemini 3 features
  • Nano Banana Pro
  • Video generation (Gemini vs Genie 3 distinction)
  • Benchmarks
  • Competitive / community reactions (OpenAI, Microsoft, xAI, Meta, etc.)

I structured each slide with Title + Bullets + Optional Speaker Notes.

⭐ Slide Deck Outline: Gemini 3 Launch & Ecosystem Impact

Key Takeaways

Gemini3 performance: deep thinking, multimodality, generative AI

Google TPU Prove Gemini3 Training and Inferencing, also apply to Anthropic Opus 4.5

TPU HW key: 3D tonus using OCS

TPU SW key: Native Pytorch Support, and including vLLM SGLang

Slide 1 — Gemini 3 Launch Overview

Google’s Most Advanced Multimodal Model (Nov 2025)

  • Major release across: Gemini 3 Pro, Gemini 3 Flash, Gemini app
  • New image engine: Nano Banana Pro
  • Strongest benchmark performance to date
  • Deep improvements in reasoning, multimodality, and generative UI
  • Competitive moment: “Gemini 3 is winning the AI race—for now” (The Verge)

Speaker Note: Set the scene: Google positions Gemini 3 as a holistic ecosystem upgrade, not just a model update.

Slide 2 — What’s New in Gemini 3

Core New Features & Capabilities

  • Deep Think Mode – long-chain reasoning & multi-step problem solving
  • Massively improved multimodality (text + images + code + structured layouts)
  • Generative UI outputs – diagrams, tables, flow layouts, interactive mini-apps
  • Higher factuality & reduced hallucinations
  • Tight integration with Google Search, Map, & Workspace
  • Immediate availability through Gemini app (iOS/Android)

Slide 3 — Benchmark Highlights

Record-Breaking Scores (Public Benchmarks)

  • ~41% on Humanity’s Last Exam (no tools)
  • 93.8% on GPQA Diamond (best publicly reported)
  • ~45% on ARC-AGI-2 (with code execution)

  • State-of-the-art performance on

    • MMLU
    • MMMU
    • HumanEval & coding benchmarks
    • Video reasoning & multimodal understanding

Speaker Note: Use this slide to emphasize Google’s “technical supremacy” narrative.

Slide 4 — Reasoning & Coding Improvements

Gemini 3 as a Technical Partner

  • My personal coding feedback: Claude Code > Google Gemini > OpenAI Codex
  • Better structured chain-of-thought
  • Improved tool-use + code execution performance
  • More consistent debugging for Python/JS/C++
  • Stronger long-context reliability

Slide 5 — Multimodal Advances

A Unified Model Across Modalities

  • Vision understanding improved significantly
  • Reads diagrams, charts, multi-layout PDFs
  • Text → Image → Code → Table workflows unified
  • Stronger grounding in real-world knowledge
  • High accuracy in text extraction / OCR
  • “Context stitching” across mixed data sources

Slide 6 — Generative UI

Beyond Text Output

  • Outputs full slide-like layouts

  • Can generate:

    • Infographics
    • Timelines
    • Interactive calculators
    • Visualized reasoning steps
    • Complex table structures
  • Essentially acts like a designer + analyst + coder in one model

Slide 7 - Community & Industry Reaction

Overall Sentiment

*Gemini 3 is widely viewed as Google’s strongest release to date. A Major Shift Toward AI-Native Productivity

Positive Feedback

  • “Deep Think” reasoning competitive with GPT-5 for analytical tasks
  • Multimodal quality praised (images, video, UI-like structured answers)
  • Best-in-class image editing & consistent multimodal grounding

Critical Feedback / Concerns

  • Model still closed-weight; open-source researchers skeptical of claims
  • Safety tuning tightening, some users find responses overly restricted
  • Benchmark inflation from xAI and Llama communities

Slide 8 — Nano Banana Pro Overview

Next-Gen Image Generation & Editing

  • Built on top of Gemini 3 Pro
  • High-fidelity outputs: 1K, 2K, 4K
  • Major leap in text rendering quality (posters, diagrams, labels)

  • Consistent multi-image workflows:

    • Brand assets
    • Style-guide enforcement
    • Logo consistency
  • Professional-quality compositing & editing

Slide 9 — Nano Banana Pro: Key Upgrades

What’s Better than Nano Banana

  • Sharp & readable multi-language text
  • More accurate faces / hands
  • Realistic lighting & reflections
  • Multi-image conditioning for enterprise brand control
  • Advanced scene editing (camera angle, lighting, object retention)
  • Better world knowledge (historical accuracy, object correctness)

Slide 10 — Takeaways

Gemini 3: A Major Shift Toward AI-Native Productivity

  • Google is positioning a full-stack AI ecosystem, not just a model
  • Strong momentum in multimodal + generative UI → future “AI-native OS”
  • Benchmark lead pressures OpenAI, xAI, Meta to respond
  • Enterprise adoption likely to accelerate because of Workspace integration

Appendix

Slide 10 — Ecosystem Rollout

Google’s Full-Stack Distribution Strategy

  • Gemini app with Gemini 3
  • Search AI Mode integration for paid users
  • Workspace upgrades: Docs, Slides, Sheets, Vids
  • Pixel and Android system-level integration
  • Vertex AI enterprise rollout
  • Integrations with Figma, Canva, and other creative tools

Slide 11 — Developer Features

Improvements for Builders

  • New Gemini API
  • Higher rate limits & faster throughput
  • Better streaming + event callbacks
  • Larger context windows
  • Tools API improvements (code execution, retrieval)
  • Tighter integration into Android & Chrome

Slide 12 — Privacy, Safety, Reliability

Google’s Emphasis Areas

  • Lower hallucination rate than Gemini 2
  • Stronger guardrails for misinformation
  • More robust medical & legal refusal tuning
  • Safer multimodal grounding
  • Enterprise controls (data residency, privacy policies)

🌐 Summary & Strategic Lens

Slide 16 — Strategic Implications

Why Gemini 3 Matters (Industry Outlook)

  • Google is positioning a full-stack AI ecosystem, not just a model
  • Strong momentum in multimodal + generative UI → future “AI-native OS”
  • Benchmark lead pressures OpenAI, xAI, Meta to respond
  • Enterprise adoption likely to accelerate because of Workspace integration
  • Raises expectations for AGI-class reasoning benchmarks (GPQA, ARC-AGI)

Slide 17 — What to Watch Next

Roadmap Signals

  • Genie 3 video generation public release timeline
  • Gemini 3-based agents with autonomous planning
  • Larger context windows (1M+ tokens)
  • Enterprise pricing competitiveness vs OpenAI
  • New hardware acceleration (TPU v6+, on-device integration)

Slide 18 — Closing Slide

Gemini 3: A Major Shift Toward AI-Native Productivity

  • Industry-leading reasoning (Deep Think)
  • Professional-grade image engine (Nano Banana Pro)
  • Rich, multimodal, interactive output capabilities
  • Strong competitive positioning vs GPT-5 ecosystem
  • Solid foundation for future world-model & video generation breakthroughs

If you want, I can now:

✅ Convert this outline directly into a full slide deck in PowerPoint (.pptx) or ✅ Generate visual diagrams / flowcharts for architecture, comparisons, etc. or ✅ Create two versions: “executive summary” and “technical deep dive.”

Which one would you like next?