What if AI is smarter when it argues with itself?

In partnership with

Hey there

I just witnessed something that made me question everything I thought I knew about AI development.

Let me ask you this – what if the secret to making AI smarter isn't just feeding it more data, but making it... collaborate with itself?

Stick with me because this connects to some wild stuff happening right now.

The Swarm Intelligence Revolution

Remember when we used to think one super-smart AI was the answer? Well, turns out we were thinking too small.

There's this new prompting technique called "Swarm Intelligence" that's absolutely blowing my mind. Instead of asking one AI to solve a problem, you create multiple AI agents that work together – like a digital think tank.

Here's how it works: You split ChatGPT (or any LLM) into different roles – a Planner, an Executor, a Critic, a Synthesizer, and an Empath. Each "agent" tackles the problem from their unique angle, then they debate, refine, and ultimately produce a solution that's way better than what any single AI could create.

I tested this last week on a complex business strategy problem. The results? Absolutely mind-blowing. It was like watching a genius-level brainstorming session happen in real-time.

But here's where it gets weird...

The $14K Pregnancy Robot That Changes Everything

While we're making AI think like teams of humans, someone decided to make AI... pregnant?

Yes, you read that right. The world's first pregnancy humanoid robot is launching within a year, priced under $14,000. It features "artificial womb" technology where a fetus develops in artificial amniotic fluid.

Before you freak out, this isn't about replacing human pregnancy. It's a medical training tool that could revolutionize how we teach obstetrics and gynecology.

Think about it: medical students and doctors could practice complex procedures, study fetal development, and test interventions without any risk to real patients. It's like having a flight simulator, but for one of the most critical moments in human life.

But this raises a fascinating question about the boundary between simulation and reality...

Sam Altman's Stone Age Prediction

Which brings me to Sam Altman's latest mind-bender. In a recent interview, the OpenAI CEO made this chilling prediction: "A child born today will never be smarter than AI".

His reasoning? By the time today's babies understand how the world works, AI will have always been far ahead, making rapid scientific progress feel completely normal to them.

Altman went further, saying "The 2020s will look like the stone age" in comparison to what's coming.

To back this up, he revealed OpenAI plans to spend "trillions of dollars" on infrastructure in the near future. Not millions. Not billions. Trillions.

Connecting the Dots

Here's what I think is really happening:

Swarm Intelligence shows us AI isn't just getting smarter – it's learning to think like teams.

 Pregnancy robots demonstrate AI is moving into physical, embodied experiences.

Altman's prediction suggests we're on the verge of an intelligence explosion that will make current AI look primitive.

But here's the twist that everyone's missing...

The Real Opportunity

While everyone's worried about AI replacing jobs, I'm seeing the opposite trend. Blue-collar jobs are actually gaining popularity as AI threatens office work.

Why? Because hands-on skills, human judgment, and physical expertise are exactly what AI still can't replicate.

So here's my take: Instead of competing with AI on raw intelligence, we need to focus on what makes us uniquely human – creativity, emotional intelligence, and the ability to work WITH AI rather than against it.

What do you think? Are we headed for a collaborative renaissance or an intelligence apocalypse?

Hit reply and let me know your thoughts. I read every response.

- Aashish

P.S. If you're interested in testing swarm intelligence prompting, I'll share my exact framework with the first 10 people who reply to this email.

Training Generative AI? It starts with the right data.

Your AI is only as good as the data you feed it. If you're building or fine-tuning generative models, Shutterstock offers enterprise-grade training data across images, video, 3D, audio, and templates—all rights-cleared and enriched with 20+ years of human-reviewed metadata.

With 600M+ assets and scalable licensing, our datasets help leading AI teams accelerate development, simplify procurement, and boost model performance—safely and efficiently.

Book a 30-minute discovery call to explore how our multimodal catalog supports smarter model training. Qualified decision-makers will receive a $100 Amazon gift card.

Book a call

_{For complete terms and conditions, see the offer page.}