Gemini 4 is almost ready, says new Google DeepMind chief

Google is finally moving the needle on its most anticipated AI model. Koray Kavukcuoglu, the new head of Google DeepMind, recently confirmed that Gemini 4 is in its final refinement stage. He told The Information that the company intends to release an early post-training output as soon as possible. This is a clear signal that Google is no longer willing to wait until the end of the year to compete.

This announcement carries significant weight given the current landscape. Google has been perceived as dawdling behind rivals like OpenAI and Anthropic in the flagship AI release race. Kavukcuoglu’s comments suggest a shift in strategy. The goal is now speed and iterative improvement rather than waiting for a perfect, polished final product.

The mention of an early post-training output is particularly interesting for developers. It implies that Google might release a beta or preview version that is already quite capable. This allows the company to gather real-world feedback and improve the model faster. It is a common pattern in software development but less common in high-stakes AI model launches.

Kavukcuoglu expressed genuine excitement about the results he has seen so far. This enthusiasm suggests that the underlying architecture of Gemini 4 is solid. The focus is now on tuning and optimization rather than fundamental structural changes. This could mean a smoother rollout for enterprise users who are wary of unstable early releases.

The competitive pressure is real. Other tech giants have already established strong footholds with their latest models. Google needs to demonstrate that its multimodal capabilities and reasoning skills are on par or superior. An early release of Gemini 4 could help reclaim some of the lost ground and momentum in the market.

For professionals and entrepreneurs, this shift means the window for integration is opening sooner than expected. You should start evaluating how Gemini 4 might fit into your current workflows. The early access could provide a significant advantage in automating complex tasks that require high-level reasoning.

What this means for you is that you should prepare your data pipelines and API integrations now. Do not wait for the official launch to test compatibility. Start experimenting with the current Gemini models to understand the baseline. Then, be ready to switch to Gemini 4 as soon as it becomes available.

Try this workflow idea with your AI assistant today. Take a complex project brief you have been struggling with and ask the AI to break it down into actionable steps using a specific framework like Agile or Scrum. Compare the output quality with what you expect from Gemini 4. This will help you gauge the potential efficiency gains when the new model arrives.