Google just destroyed ChatGPT forever… (Gemini 2.5 Pro)

Key Concepts

Gemini 2.5 Pro, Webdev Arena Leaderboard, Multimodal capabilities, Long context, Video understanding, Tool calling, Google AI Studio, Vectal, Cursor, Open Router, API key, AI Agents, Conda environments, Token pricing, Multimodal capabilities.

Gemini 2.5 Pro: A Massive Upgrade

The video discusses the significant improvements in Google's Gemini 2.5 Pro AI model, highlighting its enhanced coding capabilities, particularly in building interactive web applications.

Performance and Leaderboard Ranking

• Gemini 2.5 Pro leads the Webdev Arena leaderboard with a score of 1419, surpassing Cloud 3.7 Sonet and the previous version of Gemini 2.5 Pro.
• The leaderboard measures human preference for AI models' ability to create aesthetically pleasing and functional web apps.
• The model excels in multimodal tasks, long context understanding, and video understanding.

Tool Calling Improvement

• The CEO of Cursor noted a significant reduction in the model's failure to call tools, addressing a previous issue.

Using Gemini 2.5 Pro

The video demonstrates how to use Gemini 2.5 Pro within the Gemini app and Cursor for coding and AI agent development.

Gemini App Demonstration

• The video showcases the model's ability to one-shot a working 2D clone of Minecraft with HTML, CSS, and JavaScript.
• The model generates 700 lines of code quickly, demonstrating its speed and efficiency.
• The pricing for Gemini 2.5 Pro Preview is $1.25 per million input tokens and $10 per million output tokens, which is more cost-effective than Cloud 3.7.

Vectal Integration

• Gemini 2.5 Pro is integrated into Vectal, allowing users to leverage the model for task management and productivity.
• Vectal agents can prioritize tasks and utilize Perplexity Pro for web searches.

Building AI Agents with Gemini 2.5 Pro in Cursor

The video provides a step-by-step guide on building AI agents using Gemini 2.5 Pro within the Cursor IDE.

Setting up Cursor

• Install Cursor from cursor.sh.
• Enable Gemini 2.5 Pro Max in Cursor settings under "Models."
• Select Gemini 2.5 Pro as the model in the Cursor agent chat.

Using Open Router

• Open Router is recommended for building AI agents because it allows easy swapping of AI models without refactoring the backend.
• Copy the Python code snippet from Open Router for Gemini 2.5 Pro.
• Install the OpenAI package using Conda: conda activate <environment_name> then conda install openai.
• Activate the Conda environment in Cursor.
• Create an API key on Open Router and paste it into the code.

Testing Multimodal Capabilities

• The video tests the model's multimodal capabilities by providing an image of Wisconsin Madison Wal and asking for a description.
• The model accurately describes the image, demonstrating its understanding of visual content.
• The cost of the request was minimal, costing only a fraction of a penny.

The New Society and AI Startup Development

The video promotes "The New Society," a resource documenting the creator's journey of building an AI startup, Vectal, from scratch.

Vectal's Success

• Vectal achieved over $12,000 in monthly recurring revenue (MRR).
• The New Society provides step-by-step guidance on using AI tools like Cursor and Cloth to build a successful AI startup.
• Members of The New Society receive access to exclusive content and weekly support calls.

Conclusion

Gemini 2.5 Pro represents a significant advancement in AI, particularly for web development and coding tasks. Its integration with platforms like Gemini app, Vectal, and Cursor, combined with cost-effective pricing, makes it a powerful tool for developers and entrepreneurs. The video provides practical guidance on leveraging Gemini 2.5 Pro for various applications, from building AI agents to developing AI-driven businesses.