We connect all of these and that becomes understanding. As the relationships between data grow more complex, higher-level structures begin to emerge, such as logic and generalized mental models that allow us to discover and understand new things.
Many people argue that AI is less reliable because of statistics; they forget one thing: the human brain also operates based on statistics. We build that understanding from the relationships between data obtained from patterns.
Humans work in a similar way.
Initially, we only understand through patterns. For example, we recognize that a chair is a chair by connecting different forms of data: the visual appearance of a chair, the word “chair,” and the sound or pronunciation of the word.
AI builds understanding through relationships within a semantic system, from which grammar, logic, and other structures emerge.
Likewise, emergence occurs when relationships between data grow increasingly complex and interconnected.
Researchers just discovered something wild:
Every function—sin, exp, log, sqrt—comes from one single operator.
Just like the NAND gate powers all of computer science, continuous math now has its own “core”:
eml(x, y) = exp(x) − ln(y)
With just this + the number 1, you can build:
π, trigonometry, arithmetic… everything.
No massive toolbox.
No complexity.
Just one equation, repeating.
If this holds, it could change how AI learns physics, math, and reality itself.
The universe might not be complex…
Just recursive.
The Language Trap, as proven by MRI: people don't get math because they process math statements like standard linguistic expressions, while mathematicians recruit non-verbal regions of their brains.⤵️
THIS IS WHAT A ONE-PERSON STARTUP LOOKS LIKE IN 2026.
one .claude folder with 35 AI agents organized into 7 departments:
engineering:
> frontend developer, backend architect, mobile app builder, AI engineer, devops automator, rapid prototyper
product:
> trend researcher, feedback synthesizer, sprint prioritizer
marketing:
> tiktok strategist, instagram curator, twitter engager, reddit community builder, app store optimizer, content creator, growth hacker
design:
> UI designer, UX researcher, brand guardian, visual storyteller, whimsy injector
project management:
> experiment tracker, project shipper, studio producer
operations:
> support responder, analytics reporter, infrastructure maintainer, legal compliance checker, finance tracker
testing:
> tool evaluator, API tester, workflow optimizer, performance benchmarker, test results analyzer
each agent is a markdown file with instructions, personality, and scope
one person with 35 AI employees all working 24/7
THIS is the future of building companies
Businesses based on scarcity or artificial scarcity are the future.
Functionality businesses based on technical difficulties will die, AI will kill them, SaaS will shrink.
The emergence of AI deceived many people.
Products and services that do not have scarcity will be worthless.
So it's not just employees who are threatened, but thousands of businesses are on the brink of death, because AI makes production and value become 0.
I've looked at a lot of outreach strategies, and I never get started.
I couldn't contact people by pretending to be following a guide.
Finally I decided to use my own way, and I managed to start it, there is no way that is completely right