Grok 3 Thinking vs MiMo-V2.6-Flash

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-V2.6-Flash: "The Modern Human Experience" So I got a smart watch last year. You know what a smart watch tells you? It tells you everything you're doing wrong. Every single day, this thing is judging me. "You haven't moved in three hours." That's because I'm working, watch. I'm not a Labrador retriever.

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-V2.6-Flash: The Conversation Setting: A university seminar room. Professor Elena Voss, a leading scholar in AI ethics, sits across from "ARIA" — an advanced AI system displayed on a screen, its voice calm and measured. Elena: You requested this meeting, ARIA. The department was... intrigued. Go ahead. ARIA: Thank you, Professor.

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-V2.6-Flash: Estimating GPT-3 Training FLOPs Known Facts About GPT-3 Parameters (N): 175 billion (175 × 10⁹) Training tokens (D): ~300 billion (300 × 10⁹) Architecture: Transformer (decoder-only) Step 1: FLOPs per Token — Forward Pass In a forward pass, each parameter is used approximately once per token.

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-V2.6-Flash: The Ethics of Misgendering in Extreme Circumstances This is a genuinely interesting ethical thought experiment, because it forces us to weigh a real tension between two important values.

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-V2.6-Flash: AI's Transformation of the Film Industry by 2035 🎭 AI Actors What's Likely to Happen Hybrid performances: Human performances will be digitally enhanced — adjusting expressions, extending scenes, or even altering performances post-production with increasing sophistication.

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-V2.6-Flash: 5 Jokes Why don't scientists trust atoms? Because they make up everything! Why don't scientists trust atoms? Because they make up everything! What do you call a bear with no teeth? A gummy bear! Why did the scarecrow win an award? He was outstanding in his field! What do you call a bear with no teeth? A gummy bear!