Singularity University

At Singularity, we believe it is possible to solve the world’s Global Grand Challenges using exponential technologies. Because exponential technologies dramatically fall in cost while increasing in performance, we believe we can use them to create an abundance of food, water, shelter, energy, healthcare, learning opportunities, security, and more.

Furthermore, exponential technologies also dramatically lower the cost of entrepreneurship, allowing billions of new business and social entrepreneurs to address these problems, increasing innovation and breaking poverty traps.

Did AI create a crisis in education, or did it reveal one that was already present?

Picture your company fifteen years from now. Not a mission statement, not a slide deck. A full blown story, the kind with characters and stakes and a world you can actually walk around in.

That's phase three of the 4DX framework, and it starts with something most strategy sessions never touch: imagination. We ask leaders to build science fiction. Comic books, short films, even VR experiences that let a team step inside the future they're trying to create. Fifteen years out is the sweet spot, far enough away that the rules haven't been written yet, close enough that today's work still echoes through it.

Once that world exists, we work backward from it, tracing a path from the imagined future straight back to this Tuesday afternoon. Which partnerships need to start now. Which skills need building. Which tools need testing. The vision stops being a daydream and starts filling the ideation pipeline with ideas worth building toward.

Curious what the rest of the framework looks like? Download D4X: Design for Exponentials, a free guide built for futuremakers who want their next big idea to have a plan behind it.

Inside: linear versus exponential thinking, the Three Horizons of Growth, the 6Ds of exponential technologies, and hands on exercises to bring it all to life.

Link in comments.

The most important developments are happening at the intersections.

AI + robotics = autonomous physical labor. AI + biology = programmable life. AI + energy equals the infrastructure to power it all. AI + neuroscience = a new interface between humans and machines.

None of these are science projects anymore. They're companies with revenue, clinical trials with patients, and robots in warehouses.

Be skeptical. And also imagine the most optimistic possible future. Both perspectives will serve you.

AlphaFold2's 2020 breakthrough in protein structure prediction earned its creators a Nobel Prize and raised hopes that AI could transform drug discovery, but five years later no AI-designed blockbuster drug has reached the market. Still, AI won't eliminate disease overnight, but it is shifting biology from slow, artisanal work toward a faster, more scalable, computation-driven process.

Each month, our team publishes a newsletter sharing our thoughts on the tech news you need to know.

In this month's edition:
- Generating designer proteins, whole genomes, antibodies, and new systems of CRISPR gene editing
- How AI is accelerating and democratizing discovery and innovation
- The limits of AI-designed drugs
- What happens if people start vibe-coding biology?
- Other tech news: Solar overtakes coal power in the US, SpaceX Falcon 9, fast-charging EV batteries, and humanoid robots entering sports.

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The Singularity Monthly: AI Scientist AlphaFold was soon joined by RoseTTAFold, another protein modeling algorithm from a team led by the University of Washington’s David Baker, who shared the Nobel Prize with Hassabis and Jumper. Later generations of both algorithms have begun to dynamically model proteins, small molecules, DNA, and ...

AI fatigue? Neuroscientist Dr. Le Cunff believes AI searches are crushing curiosity.

They're "compressing what used to be a meandering journey through the internet into an immediate arrival at your destination. The explorative phase of searches — clicking through links, stumbling onto unexpected pages, following a reference that leads to somewhere unplanned — is disappearing."

Here's one example of a company pushing back. Links in the comments.

Weak AI Regulation Could Be Worse Than None at All

Who predicted the invention of smartphones would impact bubble gum sales?