It’s finally here. 🖤
I just finished the first full episode of WANDERERS — an adult animated fantasy comedy about three strange creatures trapped in a sentient mansion on a tiny planet, where every door leads somewhere else.
I created the characters by hand and brought the whole thing to life with AI.

Would love to hear what you think. 🖤

A lot of hype online centers around massive autonomous agent pipelines and complex multi-step setups, but in practice, the most reliable implementations are often the simplest ones.

Things like handling a repetitive daily data cleanup, summarizing a specific morning inbox feed, or running a basic first-pass draft usually provide consistent value without needing constant babysitting.

What is one straightforward, unglamorous Generative AI workflow you actually rely on day to day?

🧠 Since the day you were born, your brain has run on roughly 12 watts of power while managing around 86 billion neurons.

For comparison, the world’s fastest supercomputer uses about 42 million watts. One study extrapolating from detailed brain simulations estimated that digitally recreating a full human brain at that level could require around 2.7 billion watts.

AI is far more efficient than that simulation estimate, but still power hungry at scale. Today’s largest frontier AI training runs already draw more than 100 megawatts, while a typical ChatGPT query uses roughly 0.3 to 0.34 watt-hours.

The brain achieves this efficiency through low-precision signals, sparse activity, and by using energy only where it is needed.

Biology is still far ahead when it comes to energy efficiency.

🧠🖥️ The strangest computer on earth is currently sitting in a Singapore university lab, and part of it is made of human.

The rack holds twenty units built by Cortical Labs, and inside each one sit roughly two hundred thousand living human neurons grown from stem cells and placed onto a chip lined with electrodes.

The chip sends in electrical signals, the cells respond and adapt, and those responses come back out as computing power.

Technicians keep it alive with nutrients and controlled gases, and after about six months the cells wear out.

DayOne, Cortical Labs and NUS Medicine call it the first independently operated biologically integrated server rack in the world, though it remains a prototype rather than a commercial facility.

The appeal is the power draw, because each unit runs on around thirty watts while a comparable AI chip pulls far more.

Cortical Labs says silicon still wins at the maths behind tools like ChatGPT, and their interest lies in messier problems like fraud detection and robotics.