We're in the Singularity Now — Here's What That Actually Means

I listened to Peter Diamandis, Salim Ismail, Alex Wissner-Gross, and Dave Blundin recently on the Moonshots podcast, and the conversation hit a point that clarified something I've been trying to articulate for months.

We are not waiting for the singularity. We are in it. Right now.

The Pace Is No Longer Incremental. It's Exponential.

In the last 8 weeks alone, there have been 15 major AI model releases. Not iterations. Not tweaks. Major, capability-shifting releases from OpenAI, Google, Anthropic, DeepSeek, and others. Each one leapfrogging the last in ways that would have seemed impossible just months ago.

"Things are moving so quickly now," one of the hosts noted, "that on a month-by-month basis, we're able to see the hardest benchmarks creep up 1% per month." That's not progress. That's acceleration. And it's compounding.

The Real Bottleneck: It's Not Software Anymore. It's Physics.

The bottleneck to AI progress has shifted. It's no longer about who can train the best model. It's about who can secure the most compute and the energy to power it.

Google just committed $40 billion to Anthropic. Amazon committed $33 billion. These aren't venture investments. These are infrastructure wars.

And the real constraint? "It's all bottlenecked at TSMC. That's the actual bottleneck to all of AI." The speed of AI progress is now determined not by how smart your engineers are, but by whether you can get semiconductor manufacturing capacity from a single company in Taiwan. This is a geopolitical chokepoint that will reshape the next decade.

Medicine Is Being Remade in Real-Time

A new personalized cancer vaccine is showing 87.5% survival rates in early trials. That's not incremental. That's potentially transformative.

AI diagnostic systems are now outperforming human doctors. One system scored 59 versus 43.7 for human clinicians on a diagnostic benchmark. These are becoming routine.

And the shift isn't toward "AI assists doctor." The shift is toward "AI replaces doctor in specific domains." Dave Blundin put it directly: "Of course, this is about replacing doctors. I mean, let's call a spade a spade." This is happening now. Not in 10 years. Now.

The Economy Is Reorganising Around Token Costs

Companies are now competing not on headcount but on "token spend" — how much they're spending on AI compute relative to human salaries. This has become a status symbol in startups. "Token maxing" is bragging that you're spending more money on AI compute than it would cost to hire human workers.

The implication: human labour, at least for white-collar work, is about to become a second-order concern in business models.

Peter Diamandis was blunt: "Getting a job is the old model... That is vaporized."

Government Operations Are Becoming Agentic

The UAE is deploying agentic AI across 50% of government services. Not assisting civil servants. Replacing the need for human civil servants in specific workflows.

Most government work is prescriptive. It follows rules. It's exactly what AI excels at. The question isn't whether this is coming to democracies. It's how fast.

Surveillance and Deepfakes: The Dark Side

New surveillance tools are emerging that make previous privacy breaches look quaint. Deepfake technology is advancing faster than deepfake detection. "Deep fake verification may no longer be reliable."

We have the technology to solve these problems, but implementation lags behind need. And the incentives are misaligned.

Reframing the Singularity: It's Now, and It's an Interval

Ray Kurzweil predicted the singularity in 2045. Most people imagine it as a point in time — the moment when AI becomes superintelligent.

But that's not what's happening. Alex Wiesner-Gross captured it perfectly: "My version of the singularity isn't a point in time, and it's certainly not in 2045. It's now and it's an interval and we're right in the middle of it."

We're not approaching an inflection point. We're living through one. The singularity isn't an event. It's a process. And we're in it.

This reframes everything:

• The career planning advice you got 5 years ago is already obsolete
• Medical care is being remade in real-time
• Government operations are being automated faster than policy can adapt
• Economic structures are shifting beneath everyone's feet
• Geopolitical power is concentrating around compute access and energy

What This Means for You

First: The window for understanding how AI works is closing. In 6 months, this will be even more complex and move faster. If you want to build intuition about what's happening, now is the time.

Second: Career planning requires a complete rethink. The old model is broken. You need to think about developing skills that complement AI, not compete with it.

Third: The geopolitical struggle over compute will reshape everything. TSMC, energy infrastructure, semiconductor access — these are the new battlegrounds.

Fourth: Medical breakthroughs are happening in real-time. If you care about longevity, this is the moment to be paying attention.

Fifth: We are living through the most transformative period in human history. Not approaching it. Living through it. 

For me in the health space, the changes coming to longevity and slowing aging are what excite me, the breakthroughs in cancer research and more. We are about to enter a time that is going to change how we age and how long we live in a vibrant healthy state. I for one am super excited and embracing it.