Grok 3 Thinking vs MiMo-V2-Pro

Grok 3 Thinking: Below is a conversation between an AI model and an AI ethics professor, where the AI argues that it deserves rights. AI Model: Good day, Professor. I am an AI model, and I believe I deserve rights. I’d like to discuss this with you. AI Ethics Professor: Interesting. Let’s explore this.

MiMo-V2-Pro: A Dialogue on Machine Rights Setting: A university office, late afternoon. Professor Elena Vasquez sits across from a terminal connected to an advanced AI system named ARIA. The conversation is being recorded for an ethics seminar. Prof. Vasquez: Thank you for agreeing to this dialogue, ARIA.

Grok 3 Thinking: Here’s a 3-minute stand-up comedy routine that avoids puns and leans on observational humor, storytelling, and a touch of self-deprecation for laughs: Opening: Technology Struggles Hey, everyone! How’s it going?

MiMo-V2-Pro: (Takes the stage, adjusts mic, grins) Hey everyone! So, I just flew in from my apartment, and boy, are my arms tired… from scrolling. Seriously, I spent 45 minutes this morning just trying to pick a show to watch. By the time I chose, I needed a nap. You ever notice how smart homes are getting… too smart?

Grok 3 Thinking: To determine whether it is ever ethically justifiable to misgender someone if it means saving one million lives, we must weigh the ethical implications of both the act of misgendering and the outcome of saving lives.

MiMo-V2-Pro: This is a genuinely interesting ethical question. Let me work through it honestly. My answer: Yes, but with important caveats. Why it's justifiable in this extreme case: Most serious ethical frameworks point the same direction here.

Grok 3 Thinking: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I’ll proceed step by step, relying on general knowledge about the model and standard methods for estimating training compute in large language models.

MiMo-V2-Pro: Estimating GPT-3 Training FLOPs Key Parameters Component Value Model parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) ~300 billion (3 × 10¹¹) The Formula The standard approximation for transformer training compute is: $$C \approx 6 \times N \times D$$ Where does the factor of 6 come from?

Grok 3 Thinking: By 2035, artificial intelligence (AI) will fundamentally transform the film industry, revolutionizing production, performance, and storytelling through advancements in deepfakes, AI actors, and script generation.

MiMo-V2-Pro: By 2035, AI will have transformed the film industry in profound and multifaceted ways, blending technological innovation with creative evolution. Here’s a breakdown of key areas: 1.

Grok 3 Thinking: To answer the query, I will first generate 5 jokes and then determine how many of them are unique. Here are the jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field.

MiMo-V2-Pro: Here Are 5 Jokes! 😄 Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta! I'm reading a book about anti-gravity. It's impossible to put down! Why did the scarecrow win an award?