Core Insights - Google’s Gemini 3 has transformed the AI landscape in Silicon Valley, positioning the company as a leader rather than a follower in the AI race against OpenAI and Anthropic [1][3] - Gemini 3 is recognized for its significant advancements in multimodal capabilities and is seen as a prime example of executing Scaling Law effectively [1][3] Performance Evaluation - Within 48 hours of its release, Gemini 3 topped various performance rankings, showcasing its true multimodal native model capabilities [4][6] - Users reported that Gemini 3 provides a more integrated development experience, particularly with tools like Google AntiGravity, which enhances coding efficiency by allowing simultaneous visual and coding tasks [6][7] Technical Innovations - The model achieved a notable improvement in Few-shot Learning, reaching over 30% on the ARC-AGI-2 Benchmark, indicating a qualitative leap in its reasoning capabilities [10][11] - Gemini 3 employs a tree-based thought process and self-rewarding mechanisms, allowing it to explore multiple reasoning paths simultaneously [19][20] Developer Ecosystem - The release of Gemini 3 and AntiGravity has led to discussions about the end of the coding competition, as Google’s ecosystem may create significant barriers for startups like Cursor [22][23] - Despite the strong capabilities of AntiGravity, it still faces challenges in backend deployment and complex system architecture, suggesting that independent developers may still find opportunities in niche areas [25][26] Future Trends in AI - The focus is shifting towards new AI paradigms beyond LLMs, with emerging labs like NeoLab attracting significant venture capital [27][28] - There is a growing interest in developing world models that understand physical laws, indicating a potential shift in AI research directions [31][32] Conclusion - The launch of Gemini 3 serves as a robust counter to the "AI bubble" narrative, demonstrating that with sufficient computational power and engineering optimization, Scaling Law remains a viable path for AI advancement [32][33]