🚨 From Failing Basic Math to Solving Open Problems: DeepMind’s “Aletheia” Just Changed Science

February 12, 2026

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2.5 years ago, chatbots struggled with basic algebra.
Today, they’re solving open mathematical problems.

Let that sink in.

Google DeepMind just revealed a major leap under its Gemini Deep Think program.

Their internal model, “Aletheia,” is now scoring up to 90% on IMO-ProofBench Advanced — a benchmark built around Olympiad-level proof reasoning.

But that’s not even the biggest story.

Aletheia has:

• Solved open math problems (including four from the Erdős database)
• Contributed to publishable research papers
• Tackled PhD-level problems across algorithms, economics, ML optimization
• Even explored questions in cosmic string physics

This isn’t symbolic AI hype.
This is scalable reasoning.

The shift is bigger than benchmarks.

We’re witnessing a fundamental change in the scientific workflow.

Instead of replacing scientists, models like Gemini act as a force multiplier:

• Retrieving knowledge instantly
• Verifying proofs rigorously
• Searching for counterexamples
• Connecting distant research domains

Scientists can now focus on conceptual depth and creative direction — while AI handles the grind of structured reasoning.

From assistant → to collaborator.

From chatbot → to research partner.

The real question isn’t “Can AI solve math?”

It’s:

What happens when every scientist has an Olympiad-level reasoning engine on demand?

The next decade of discovery might not look human-only.

And that changes everything.