Skip to content
Today

Signal

Google Deepmind's new chief says frontier AI leadership is the only thing that matters

In shortGoogle Deepmind chief Koray Kavukcuoglu admits Google's current models are "a little bit below the frontier" but says he's "100% certain that we will be at the frontier."

What happened

He didn't share any concrete frontier news to back that up, though. He admits Google's current models are "a little bit below the frontier" but says the team, resources, and full stack are there to close the gap. No update on Gemini 3.5 Pro either, which is apparently still in the works, although it's now months late. On Gemini 4, he repeated it's "the most ambitious run" so far and "touch wood, it's going well." That was already known.

Why it matters

Google Deepmind's stated AI strategy affects deployment and integration decisions. The practical question is what teams must validate before changing a production workflow.

Who it affects

Product teams using Google Deepmind's stated AI strategy

The bigger picture

[object Object]

What happens next

  • Check the documented access requirements and test Google Deepmind's stated AI strategy against the workflow it would replace before changing a production integration.

This information is still under review.

Source Stack

Independent reporting

Put the news to work

Choose your next AI workflow

Reduce AI API costs without losing useful results

Measure workload, retries and accepted outputs before comparing models, batching or reusable prompts.

Check AI data handling before a team rollout

Work through account policies, retention, local records and access boundaries before sharing team data with an AI workflow.

Plan a local AI deployment you can verify

Check model routing, server access, external traffic and release changes before depending on a local AI workflow.

See what happened next · Compare verified API prices · Estimate a workload · Read the weekly index · Get future updates