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Google AI Veterans Launch Startup To Accelerate Scientific Discovery

A group of senior Google researchers, led by longtime executive Jeff Dean, is leaving the company to launch Discovery Loop, a startup that aims to accelerate scientific research using artificial intelligence.

Dean, one of Google’s earliest employees, will serve as chief executive. He is joined by Google Fellow Sanjay Ghemawat, Google Brain co-founder Quoc Le and Google DeepMind senior research scientist Oriol Vinyals.

AI-Powered Research

Discovery Loop plans to use AI to automate the design, execution and refinement of thousands of experiments simultaneously, with the goal of speeding up scientific discovery. The company also intends to explore how AI can help improve future generations of AI systems through recursive self-improvement.

“While science and engineering have tremendously advanced society over past centuries, progress has traditionally relied on slow, sequential human iterations,” the company said. “Discovery Loop is developing advanced AI systems that leverage massive computational scale to fundamentally transform the speed and efficiency of innovation.”

Backed By Alphabet And Venture Investors

The startup has already secured funding from Alphabet alongside venture capital firms Radical Ventures, Khosla Ventures, Kleiner Perkins, Lightspeed and Doerr Capital.

“The next great frontier for AI is to go beyond answering questions and to begin making discoveries,” the founding team said.

Dean joined Google in 1999 as the company’s 30th employee and helped build key parts of Google Search before leading major AI initiatives, including work on Gemini. Explaining the vision behind Discovery Loop, he said AI could automate much of today’s research process, enabling scientists to conduct more experiments and accelerate breakthroughs.

Apple Ties Its Mac Strategy To The AI Boom With New Mac Mini And Mac Studio Models

Apple has updated its Mac Mini and Mac Studio desktops with new processors and higher AI performance as developers increasingly use Macs for local AI workloads. The new models are scheduled to ship on Sept. 22, weeks before the company is expected to introduce its next iPhone generation.

Macs Target Local AI Development

Developers and researchers are increasingly using Apple computers to run AI models locally, reducing reliance on cloud infrastructure. Mac Mini systems can support AI agent software, while Mac Studio machines are designed for more demanding model training and deployment workloads.

Apple said its processors combine Neural Engines for machine learning with unified memory architecture designed to reduce performance bottlenecks. The company says the combination allows users to run and fine-tune larger AI models directly on their devices.

Mac Mini Gets First M6 Generation Chip

The updated Mac Mini can be configured with Apple’s M6 and M5 Pro processors, making it the company’s first computer with an M6-generation chip. The M6 is manufactured by Taiwan Semiconductor Manufacturing Co. (TSMC) using a 2-nanometer process.

The previous Mac Mini lineup offered M4, M4 Pro and M4 Max processors. Apple said the M5 Pro version of the new model can process large language model prompts 8.5 times faster than earlier Mac Mini Pro configurations.

Pricing has also increased. The new Mac Mini starts at $899, $100 more than the previous model, after Apple raised the price from $599 earlier this summer, citing higher memory costs.

Mac Studio Targets Larger AI Workloads

Mac Studio remains Apple’s highest-performance desktop without an integrated display, following the discontinuation of the Mac Pro earlier this year. New configurations include the M5 Max, which Apple says can run large language models nearly four times faster than the previous generation.

The M5 Ultra is available for users with heavier computing requirements. Apple says multiple Mac Studio systems using the Ultra chip can be connected to pool memory and run models with up to a trillion parameters.

Mac Studio with the M5 Max starts at $2,499, unchanged from the previous generation. The M5 Ultra configuration starts at $5,499, compared with at least $5,299 for the previous model using the M3 Ultra.

Apple Expands Its Local AI Hardware

The new desktops give developers and researchers more computing capacity for running AI models locally. Apple is also increasing the role of its custom processors and unified memory architecture in handling AI workloads without relying entirely on cloud-based computing.

Both Mac Mini and Mac Studio models are available for presale and are scheduled to begin shipping on Sept. 22.

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