Here’s What They Didn’t Tell You About Gemini 3

Here’s What They Didn’t Tell You About Gemini 3

🔗 Link do vídeo: https://www.youtube.com/watch?v=kyflIo3EKLw
🆔 ID do vídeo: kyflIo3EKLw

📅 Publicado em: 2025-11-19T14:01:09Z
📺 Canal: AI LABS

⏱️ Duração (ISO): PT8M58S
⏱️ Duração formatada: 00:08:58

📊 Estatísticas:
– Views: 10.671
– Likes: 377
– Comentários: 58

🏷️ Tags:

In this video, we test gemini 3 across real coding and UI challenges, comparing its improvements in gemini 3 pro, google gemini 3, gemini 3.0, gemini 3.0 pro, and the wider google gemini 3.0 ecosystem to see what actually holds up.

In this episode of Debunked, we take a deeper look at Google’s newest model, Gemini 3, and put it through real-world tests instead of relying on marketing claims. From UI generation to live coding stories, from agents in Anti-Gravity to Google AI Studio’s code assistant, we compare what Gemini 3 actually delivers against Claude 4.5 and GPT-5.1.

You’ll see why Gemini’s design capabilities feel next-level, how its TypeScript UI engine performs, and why the Gemini CLI still feels unreliable and clunky despite that huge context window. We walk through benchmark claims, test macOS-style app builds, inspect real React and Swift UI output, and show where Claude Code still wins in stability and workflow—even when Gemini is faster.

Whether you're a developer, AI tester, or just trying to understand the real difference between Gemini 3 Pro and other frontier models, this breakdown shows you the reality behind the hype.

Stay tuned for more design-focused Gemini videos, especially around UI generation and Google’s new ecosystem tools.

Hashtags
#ai #artificialintelligence #ainews #chatgpt #openai #google #gemini3 #claude #coding #tech #vibecoding #programming #machinelearning #deepLearning