BSc in Computer Science & Engineering. Currently turning ideas into things people can actually use.
Istanbul
Joined March 2026
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I do not think this is about choosing between playing safe and taking smart risks. Some people need to push the boundaries. Certain leaps only happen because someone is willing to step outside what is already considered safe.
But some people also need to protect stability and order, and to stop risks when they start going too far. A system cannot work if everyone is trying to play the same role.
That is why I find it pointless for either side to look down on the other. Criticizing people simply for taking risks is easy. Progress and stability both matter. The real judgment is knowing which one is needed, and when.
EN + TR
This article explains neuroplasticity simply enough for anyone to follow, which is exactly why I think everyone should read it. While studying Computer Science and Engineering, I took neuroscience because I thought understanding AI should begin with understanding the brain.
Bu yazı nöroplastisiteyi herkesin anlayabileceği kadar güzel anlatıyor. Tam da bu yüzden herkes okumalı bence. Ben de Bilgisayar Bilimi ve Mühendisliği okurken, yapay zekâyı anlamanın önce beyni anlamaktan geçtiğini düşünüp neuroscience almıştım.
that's neuron.
it doesn't know fear.
it doesn't know lack.
it just repeats what you tell it.
you tell it "i'm not enough" 500 times. the neuron fires. then fires again. then builds a superhighway for that belief.
you tell it "nothing ever works for me" every morning. the neuron doesn't argue. it just memorizes.
you tell it "i can't change" long enough, the neuron believes you. and then your reality matches.
that's neuroplasticity.
from a quantum perspective, your focused attention is what turns possibility into experience. the neuron is the bridge, but the bridge only appears when you choose a direction.
the good news? the same neuron doesn't know truth from a lie. it just repeats. so you can overwrite the lie with a new signal. when you hold that new signal with quiet certainty, reality reorganizes around it, without you forcing it.
what most people get wrong: they try to "think positive" once. then wonder why nothing changes.
one weak signal doesn't build a highway. repetition does. and without the inner "already done", the repetition stays hollow."
What made neuroscience especially interesting to me as a Computer Science student was seeing the parallels between how the brain learns and how artificial neural networks learn. Artificial neural networks were partly inspired by biological ones. Both can change with experience, but the human brain learns while actually living, through a body, emotions, memory, relationships and everything happening around it.
Neuroscience’ı bir Bilgisayar Bilimi öğrencisi olarak benim için özellikle ilginç kılan şey, beynin nasıl öğrendiğiyle yapay sinir ağlarının nasıl öğrendiği arasındaki benzerlikleri de görmekti. Yapay sinir ağları kısmen biyolojik sinir ağlarından ilham aldı. İkisi de deneyimle değişebiliyor ama insan beyni gerçekten yaşarken öğreniyor. Bedeniyle, duygularıyla, hafızasıyla, ilişkileriyle ve çevresinde olup biten her şeyle.
What stayed with me most from this article is actually much simpler than the AI comparison. The brain keeps adapting to what we repeat, whether we notice it or not.
Bu yazıdan bende kalan asıl fikir aslında yapay zekâ benzetmesinden çok daha basit. Beyin, biz fark etsek de etmesek de tekrar ettiğimiz şeylere uyum sağlamaya devam ediyor.
What we repeat, we become.
Neyi tekrar edersek, ona dönüşürüz.
“You shall be free indeed when your days are not without a care nor your nights without a want and a grief, but rather when these things girdle your life and yet you rise above them naked and unbound.”
- Gibran
I have long thought that looking at technology only through engineering is not enough. I wrote a little about why.
Uzun zamandır teknolojiye sadece mühendislik tarafından bakmanın yetmediğini düşünüyorum. Biraz nedenini yazdım.
