Timeless

What I must do is all that concerns me not what people think - Ralph Waldo Emerson (Self Reliance) || Isaiah 60:22 || ∞

[Timeless @_nduX]

Think in Years, Plan in Days.

[Mar ; @ihoonlatte]

ya no aguanto más la semana, cuánto falta para el viernes??

[Teevirus Spinks 🏳️‍🌈🚌🔋🚴🏿‍♂️ @teevirus]

The best time to plant trees in anticipation of hotter summers was 20 years ago. The next best time is today.

[KRIZ🌙 @Krizszn]

Moving man wey believe in God

[່ @pxrcyishim]

Bro scored a hatrick 💀

[soli @solisolsoli]

Everyone is going through something by Luca Ponsato

[Words & Wisdom @WordsnWisdom26]

Always remember, a single moment of patience can prevent a lifetime of regret.

— Japanese Proverb

[Math Files @Math_files]

Just because the derivative is zero doesn’t mean you’re at maximum.

[Aristo @aristomarinetti]

Carl Jung was right when he said: The world will ask you who you are, and if you don’t know, the world will tell you.

[Aliyu @aliiyu__]

Finally tried matcha today. It’s not as bad as you guys make it out to be. It’s worse.

[Mustafa @oprydai]

partial derivatives exist because most interesting systems don’t depend on just one variable. a robot’s position depends on every joint angle. the temperature in a room depends on x, y, z, and time. a neural network’s loss depends on millions of parameters. a partial derivative asks a simple question: if i change only one variable while keeping everything else fixed, how does the output respond? it’s a way of isolating the local effect of a single input inside a much larger system.

that’s why partial derivatives become the building blocks of multivariable calculus. once you can measure the sensitivity of every input independently, you can combine them into gradients, jacobians, hessians, and eventually entire optimization algorithms. gradient descent is just repeated partial derivatives. backpropagation is just efficient computation of partial derivatives. robot kinematics, fluid dynamics, thermodynamics, and electromagnetism all rely on the same idea because the real world is almost never controlled by a single variable.

the deeper lesson is that engineering is largely the study of dependencies. every system is a network of variables influencing one another. partial derivatives give you a language for asking, “if i change this, what happens to everything else?” once you can answer that question mathematically, prediction, optimization, and control become possible. that’s why such a small symbol, ∂, sits at the foundation of so much of modern science and engineering.

[Red Lotus ❁ @RojoHasu]

This is why barely anyone dances at clubs or gets really excited in public or really tries to express themselves other than online.

Some antisocial person with a smart phone is on standby, ready to capitalize on it for clout or a dollars of revenue sharing.

[Timeless @_nduX]

🤣🤣

[Timeless @_nduX]

It is principles that separates men from animals.

[𓅓 @ufw_Anomaly]

Grieving a love that never had the chance to bloom