Truth & Trust in cyberspace is a commodity now.

Experiencing Ex Machina (2014) while deep in neural networks and large language models is a peculiar experience.
You begin to sense how quickly the boundary between simulation and reality are dissolving.
Even the Turing Test once profound,now feels like an insufficient lens for measuring the evolution of machine intelligence.

AI just dropped hyper-realistic videos with people, news anchors, explosions, all fake-proof hard to spot. Yet mainstream media? Silent. No ‘BREAKING’ headlines. Why? Either they don’t care… or they’re prepping the playbook.

“They debase your money, force you into risk assets, then tax gains you never realized. And when you try to escape, they hit you with more taxes. And if you think this can't happen in your country, think again. As debt builds and currency debasement accelerates, taxes and capital controls always follow.

This is exactly why Bitcoin matters. Bitcoin is digital capital that anyone can carry anywhere on earth with just 12 to 24 words in their head.
No government can seize it, no border can stop it, no bank can freeze it. A tool for the sovereign individual, and it's a saving sanctuary open to all. And it's only a matter of time before more people around the world wake up to that as the fiat system grows more and more hostile.”

Thoughts from @nat brunell

“Computation is not simply a subdiscipline of mathematics or science but almost a liberal art that can range across and interact with other fields.This is due to the particular nature of code and software. Computer code is not concrete, it’s not steel, but it’s also not just text. Software consists of spells of crystallized thought. When a programmer writes code, she constructs a model in her mind of how a system works, or how something in the world works, and embodies that mechanic into computer logic.”

- Taken from ‘The Magic Of Code’ by Samuel Arbesman

Despite centuries of study, science has yet to fully chart the cellular universe within us.
Our biological ecosystem is as mysterious as the vastness of the cosmos 🫶

❤️.

Journal Entry
2026/02/16

It’s my birthday this week, and I’m treating myself to a MacBook Pro 14” with the new M5 chip, 24GB of RAM, and a whole terabyte of space. It’s a bit of a splurge to kick off my programming journey! I’ll be installing a coding agent like Cursor to help me dive deeper into my CS studies.

Of course, you don’t need the latest gear to be a great coder. Talent and dedication matter more than fancy hardware. But it’s my way of celebrating this new chapter.
Here’s to learning, building and a little bit of tech joy along the way!

In 1907, Albert Einstein had what he later called his “happiest thought”: realizing that a person in free fall (like someone inside an elevator with a snapped cable) experiences no gravitational force. This insight became a cornerstone in the development of his groundbreaking theory of general relativity.

Drawing from this iconic thought experiment, Dr Brian Keating challenges leading thinkers with a provocative question: Can large language models (LLMs), operating through silicon and powered by linear algebra, ever achieve a comparable “happy thought”? Do they possess true intelligence, the capacity to visualize embodied sensations, like the stomach-dropping feeling of a fall or attain “life escape velocity” beyond mere language processing?

A profound question about the limits of AI.

Other animals have their own languages. They communicate, plants communicate, single-celled organisms communicate, bacteria communicate, and that communication can be sophisticated and It can also be conditional.
You can have different patterns and signals that combine to mean different things than them by themselves.
But as far as we know, all other systems of communication in nature have a limit. They have a set number of messages that an organism can send to another organism.

Human language is infinite. It doesn't have any kind of constraint.
Human language can generate an infinite number of meanings out of a small combination of a small number of components. Alphabet and even the number of words is very limited. But the number of sentences, the number of books that you can write with these words, the number of ideas that you can create out of them is infinite.

This is what distinguishes us from the rest of the world. Now, there's a big question about when did that happen and how exactly does that relate to our cognitive evolution?
Basically, was it language that made us so smart? Or were we already so smart for some other reason?’

Thoughts from The ‘Into The Impossible’ podcast With Dr Brian Keating and guest Prof Nikolay Kukushkin