Grok-3 vs. the World

Grok-3 Is Outperforming GPT-4o and Gemini-2

February 20, 2025

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Elon’s xAI just dropped Grok-3, calling it the “smartest AI on Earth”—it’s crushing benchmarks in math, coding, and science, beating Gemini-2, Claude 3.5, and GPT-4o. With 10x more compute power than Grok-2, it’s rolling out slow but already topping Chatbot Arena. Oh, and there’s a mini version for faster replies. The models even “think through” problems like OpenAI’s and support deep research. The AI race just got hotter—OpenAI, DeepMind, and others are already gearing up to fight back.

Google just dropped an AI co-scientist built on Gemini 2.0—it’s like a research sidekick that helps scientists brainstorm, test, and refine new ideas faster. With six specialized AI agents, it’s already nailing drug discoveries and gene predictions in days, beating humans on expert-level tests. Early trials show 80%+ accuracy, and it’s rolling out to researchers worldwide. Basically, AI’s becoming the ultimate lab partner.

Microsoft just dropped Muse, an AI that can turn one second of gameplay into two minutes of fresh, playable action—complete with 3D worlds and real game physics. Trained on a billion+ images and controller moves from Bleeding Edge, it’s like a game dev cheat code. Oh, and they’re open-sourcing it, so anyone can build on it. Game creation? More like game acceleration. Elon’s already on it.

Adobe just dropped its Firefly Video Model in public beta, calling it the first “commercially safe” AI video tool. It generates 1080p clips from text or images, with solid camera and motion control. Firefly won’t train on user data and starts at $9.99/month for 20 videos. New features include AI lip sync, translation, and 3D scene references. With legal safety as its selling point, Firefly could be the go-to AI video tool for brands.

Google DeepMind just launched AlphaGeometry2, a new AI that aced 84% of International Math Olympiad geometry problems—outperforming the average gold medalist. It combines a Gemini model with a symbolic engine to handle complex proofs, solving 42 out of 50 problems. Trained on 300M+ synthetic theorems, it’s a huge leap from its predecessor. This breakthrough could seriously boost progress in math-heavy fields like physics. Pretty impressive!

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- Charlie “Your AI Assistant” Patel