By: Alireza Minagar, MD, MBA, MS (Bioinformatics) Software Engineer
When Isaac Newton described gravity, he gave us a world of absolutes—mass, force, and deterministic pull. His laws were elegant, mechanical, and intuitive.
Then came Einstein. He shattered that certainty with curved spacetime, non-linearity, and relativity. Suddenly, gravity wasn’t a force—it was geometry.
As a software engineer working in AI, I see something eerily similar in how we write code and build intelligence today.
Newtonian Coding: Rules, Logic, Determinism
Classical programming is Newtonian.
Inputs → deterministic rules → outputs.
We debug with reason, control flow like gravity, and expect predictable behavior.
Einsteinian Coding: Deep Learning, Probabilistic Logic
AI models, especially large neural nets, are Einsteinian.
Instead of if-else statements, we curve the “space” of data using layers and weights.
Inputs are distorted through latent space; outputs are probabilistic, not exact.
🧬 Just as Einstein replaced force with curvature, AI replaces logic with learned structure.
🔄 The Parallel is Profound
| Physics | Software Engineering |
| --------------------- | --------------------------- |
| Newtonian mechanics | Rule-based systems |
| Einstein's relativity | Deep learning architectures |
| Gravity as force | Logic as deterministic code |
| Curved spacetime | Latent space in neural nets |
👨🚀 Why This Matters
We are transitioning—from rule-based programming to model-driven intelligence, just as physics transitioned from Newton to Einstein.
To build next-gen software, we must think less like Newton and more like Einstein:
- Accept uncertainty.
- Embrace curvature.
- Architect for adaptability.
Maybe the future of software isn’t a set of rules—it’s a warped field shaped by data, where intelligence simply “falls” into place.
Would Newton understand GPT-4? Would Einstein?
Let me know what you think.
AI #SoftwareEngineering #Physics #Einstein #NeuralNetworks #DevTo #LatentSpace #ArtificialIntelligence #CodePhilosophy
Disclosure: 🖼️ Image generated using ChatGPT (DALL·E) to illustrate the fusion of AI, gravity, and classical physics.
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