
Jeff Dean, one of Google's most influential AI executives since 1999, is leaving to start Discovery Loop, a startup that uses AI to automate scientific research by running thousands of experiments at once.
The company plans to eliminate the slow, sequential human iterations that have historically bottlenecked progress, with backing from Alphabet and major venture firms.
Dean told the New York Times he believes the approach will yield both higher quantity and quality of experiments, leading to faster scientific breakthroughs.
What happened
Jeff Dean, Google's longest-serving AI executive, is stepping down to launch Discovery Loop, a public benefit corporation co-founded with fellow Google researchers Sanjay Ghemawat, Quoc Le, and Oriol Vinyals. Dean will serve as CEO. The startup aims to use AI to automate and accelerate scientific research by running thousands of experiments simultaneously.
Why it matters
Discovery Loop plans to remove what it calls a "significant bottleneck" in science—the slow, sequential human iteration that has historically driven progress. By automating the experimental loop, the company seeks to deliver both higher quantity and higher quality experiments, potentially speeding the path to scientific breakthroughs. Dean told the New York Times he believes AI can "more fully automate what has traditionally been a very human-intensive experimental loop."
What to watch
The startup has received backing from Alphabet (Google's parent company), with the initial funding round co-led by Radical Ventures and Khosla Ventures; Kleiner Perkins, Lightspeed, and Doerr Capital also participated. The company is also exploring recursive self-improvement—using AI to help create more powerful AI—which would cut human iteration out of the research loop entirely.
Jeff Dean, one of Google's most senior and longest-serving AI executives, announced he is leaving the company to launch Discovery Loop, a public benefit corporation dedicated to accelerating scientific research through AI. Dean, who joined Google in 1999 as its 30th employee, is co-founding the startup alongside three other prominent Google researchers: Sanjay Ghemawat, a top engineer and senior fellow; Quoc Le, a founding member of Google Brain; and Oriol Vinyals, a senior research scientist at Google DeepMind. Dean will serve as CEO.
Discovery Loop's core mission is to automate and scale scientific experimentation. The company plans to use advanced algorithms to initiate and iterate thousands of experiments simultaneously, with the goal of partially automating the entire research process. In a press release, the company noted that "science and engineering have tremendously advanced society over past centuries, progress has traditionally relied on slow, sequential human iterations, creating a significant bottleneck." By eliminating this bottleneck, Discovery Loop believes it can deliver both higher quantity and higher quality experiments. The startup is also pursuing recursive self-improvement—using AI to generate more powerful AI, which would remove human iteration from that feedback loop entirely.
Dean told the New York Times: "We think there is opportunity for AI to more fully automate what has traditionally been a very human-intensive experimental loop. You will get both a higher quantity and a higher quality of experiments, and that will lead to scientific breakthroughs and advances." While using AI to accelerate scientific discovery has been a topic of interest in science and tech communities for years, it has remained largely experimental with limited commercial application until recently.
The startup has secured financial backing from a range of prominent investors. The initial funding round is being co-led by Radical Ventures and Khosla Ventures, with additional participation from Alphabet (Google's parent company), Kleiner Perkins, Lightspeed, and Doerr Capital. In a joint statement, the founding team said: "The next great frontier for AI is to go beyond answering questions and to begin making discoveries. By fundamentally accelerating how engineering and scientific discovery are conducted, we can deliver the benefits of transformative technologies to the world far sooner."
Jeff Dean's departure marks a significant moment in Google's AI leadership hierarchy. Dean joined Google in 1999 as the company's 30th employee and has been instrumental in building the infrastructure that powers Google Search—including its crawling, indexing, and query-serving systems—as well as playing a leading role in Google Gemini's multimodal models and the company's early AI research. His exit to launch a startup suggests that even within the world's largest AI lab, there is perceived opportunity in a more focused, specialized application of AI to scientific discovery.
Discovery Loop's core thesis addresses a long-standing friction in scientific and engineering work: the reliance on slow, sequential human-driven iteration. By automating experimental loops and running thousands of experiments simultaneously, the startup believes it can compress the timeline between hypothesis and breakthrough. The company's interest in recursive self-improvement—where AI generates better AI without constant human input—points to an even more ambitious vision of reducing the human role further. Dean's quote to the New York Times that AI can deliver "both a higher quantity and a higher quality of experiments" suggests he sees this not as a replacement for human judgment, but as a way to multiply the researcher's leverage across a much larger experimental surface.
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