Join our FREE AI Community: https://www.skool.com/ai-with-apex/about
Everyone’s talking about Gemini 3’s new scores.
They’re missing the real opportunity.
It’s not “smarter chips.” It’s a better workflow.
Gemini 3 Deep Think hit 84.6% on ARC-AGI-2, verified by the ARC Prize Foundation.
Humans average 60%.
Older AI models were closer to 20%.
It also scored 48.4% on “Humanity’s Last Exam” without tools.
And it’s a 3455 Elo Codeforces “Legendary Grandmaster.”
Here’s the part most leaders should care about.
The “secret” was letting the model think longer and check itself.
That is a business lesson hiding in plain sight.
Better results often come from adding a review loop, not adding headcount.
If you want to apply this in your company, steal this simple pattern ↓
↳ Draft fast.
↳ Force a second pass.
↳ Add a “find the flaw” step.
↳ Compare two answers and reconcile.
↳ Only then ship.
This is how you reduce confident mistakes.
This is how you raise quality without slowing everything down.
The winners won’t just “use AI.”
They’ll build systems where AI double-checks itself.
Where could a self-check loop save you money or risk this quarter?
Top comments (0)