Джефф Дин и топ-менеджеры Google основали стартап Discovery Loop для AI-открытий

Jeff Dean — chief scientist at Google DeepMind and one of the founders of Google Brain — has co-founded a startup called Discovery Loop with a team of high-profile Google executives, Wired reports. The new venture is focused on finding AI breakthroughs in science: primarily in drug development and semiconductor chip design.

Who Is Behind Discovery Loop?

Jeff Dean spent more than two decades at Google and is one of the chief architects of modern machine learning. In 2011, he founded Google Brain — one of the first major corporate AI research centers in the world, which later became part of Google DeepMind. Under his leadership, the lab created TensorFlow and other foundational tools; it was at Google Brain in 2017 that the paper "Attention Is All You Need" was written — the architectural foundation of all modern language models.

Alongside Dean, other high-profile Google executives co-founded Discovery Loop — Wired describes them as "high-profile" without revealing specific names at the time of publication.

What Will Discovery Loop Do?

According to Wired, the startup will apply AI to accelerate scientific discoveries in several key areas:

• Drug development — searching for candidate molecules and accelerating the transition from hypothesis to clinical trials
• Chip design — automating stages of semiconductor architecture development that currently take years
• Other scientific directions — a specific list has not been publicly disclosed

"The startup will seek AI breakthroughs in everything from drug development to chip design," according to

Discovery Loop's description published by Wired.

The company's name reflects its core concept: a closed loop of scientific inquiry in which AI formulates a hypothesis, helps design an experiment, analyzes the result, and moves to the next iteration — faster and more systematically than a human can. This logic has already been applied by successful AI projects: according to Google DeepMind, AlphaFold predicted the structures of more than 200 million proteins; AI-based electronic design automation (EDA) systems are already shortening chip development cycles. Discovery Loop aims to generalize this approach as an independent structure without corporate constraints.

Why Does This Matter for the AI Industry?

The departure of a team of this caliber from Google is a rare event. A comparable precedent in recent history is the exit of Dario Amodei and colleagues from OpenAI and the founding of Anthropic in 2021. Both cases illustrate a persistent trend: leading AI researchers are convinced that the next wave of breakthroughs will occur not inside corporations, but in structures with a narrow focus and rapid iteration speed.

The segments Discovery Loop has chosen — AI-accelerated drug development and chip design — are among the top priorities of the global venture capital market. The traditional path from molecule to market takes an average of more than ten years; the design cycle of a modern chip is comparable in duration. AI capable of shortening these horizons is changing the economics of entire industries. By forming as an independent structure from Google, Discovery Loop gains the ability to work with pharmaceutical giants and semiconductor companies that would not transfer sensitive data to a Big Tech competitor.

What This Means

Discovery Loop is not a run-of-the-mill AI startup: it is a signal of the redistribution of key AI talent beyond corporate laboratories. When one of Google AI's chief architects builds an independent company from scratch, it means the race for AI breakthroughs in fundamental science is reaching a new level — one where speed and focus matter more than scale and resources.