Usman Salis
⬤ Google just dropped some serious news in the AI world. Their Gemini 3 Deep Think model crushed the ARC-AGI-2 benchmark with an 84.6% score—and that's not just another incremental update. This is the kind of jump that makes people sit up and pay attention because it signals we're entering a new phase of AI reasoning power.
⬤ Here's why this matters: ARC-AGI-2 doesn't test whether an AI can spit out facts or follow simple commands. It measures abstract reasoning—the ability to recognize patterns, solve unfamiliar problems, and think logically without being explicitly trained on similar tasks. Gemini 3 Deep Think's performance suggests Google's system is moving beyond being a fancy chatbot toward something that can actually reason through complex scenarios.
⬤ The competition in AI development is heating up fast. Every major player is racing to push their models past previous limits, and frontier benchmarks like ARC-AGI-2 have become the yardstick for measuring real capability gains—not just minor tweaks. For more context on how Google's models are performing across different scientific tests, check out Gemini AI scientific benchmark results.
⬤ This breakthrough isn't just about bragging rights. When AI systems hit higher reasoning thresholds, it accelerates progress across the entire field. Better reasoning capabilities mean these models become more useful for solving real-world problems, and the gap between leading developers gets narrower as everyone rushes to keep pace with the latest advances.
Usman Salis
