Gemini 2.5 is a significant advancement in AI capabilities, particularly in reasoning, multimodal understanding, and context window size, demonstrating competitive performance against leading models such as GPT-4 and Claude 3. The benchmark Humanity's Last Exam (HLE) has received attention for its challenging nature, designed to assess how effectively models can reason, solve complex problems, and exhibit expert-level thinking. HLE highlights a substantial gap in current AI capabilities compared to human expertise. The discussion around benchmarks also touches on the debate about whether current development is truly leading to general performance improvements or if models are increasingly being optimized for existing benchmarks, raising concerns related to Goodhart's Law. Additionally, ARC AGI 2 offers a distinct perspective on AI evaluation by focusing on tasks that are intuitively easy for humans but challenging for current models, testing more fundamental cognitive abilities. The selection of benchmarks and their interpretation are critical in accurately understanding the true progress and inherent limitations of AI models.