The Endless

This shot 📸 is 💯 badass. #TheBatman

@ritu_twts Yes, it incredibly worth it. Learning to actually program helps you understand the resulting output code an AI model. Since you will understand most of the code, you can easily tailor it to your needs. The best part, you will be saving yourself a lot of stress and frustration.

Be honest devs, Is coding still worth learning in the AI era?

@TheCinesthetic This trailer is all the chant and soundtrack for me.

The chant in the trailer for DUNE: PART THREE, titled “Golden Path”, was created by Hans Zimmer and Denis Villeneuve. It’s Timothée Chalamet himself who performs the chant.

@RealProductGirl Math Lab for tensors

I NEED my feed full of builders. What are you working on right now? I don't care if it's a startup or a weekend side project. If you're building something, I want you on my timeline. Reply and let's connect. 👇

The first trailer for ‘DUNE: PART 3’ has been released. In theaters on December 18.

@shinemeris Hey

Larry Page cofounded Google in 1998 with fellow Stanford Ph.D. student Sergey Brin. Not only did Page co-write the search algorithm that changed online naviagation, he engraved his place on the #Forbes250 list, featuring people actively changing how America works, builds and invents. Get the full list: forbes.com/sites/emmareyn… Photo: Justin Sullivan via Getty Images

@TheVixhal @lino_locurcio You don't really believe that. Do you?

@lino_locurcio Mathematics is the language in which the literature of the universe is written.

I left xAI today. Not because of the pay. Not because of the internal politics. Not even because of the SpaceX and xAI merger. But because, in my manager’s words: “No matter what feedback I give you, you never change your direction.” At first, I thought he was just calling me stubborn. Then my inner math brain clicked… He was literally describing an eigenvector. See, in math, when you apply a transformation (matrix A) to a vector (v), most vectors get spun around, twisted, and thrown somewhere else. They change direction and magnitude. But an eigenvector is different, it keeps the same direction. The only thing that changes is its scale, given by something called an eigenvalue (λ). If λ = 2 → The vector doubles in size. If λ = 0.5 → It shrinks. If λ = −1 → It flips direction. If λ = 1 → It stays the same size. Apparently… in his eyes, I was λ = 1. Always the same size. Always the same direction. Now the math part (because unlike my manager, I actually explain things): Here’s how you find eigenvalues and eigenvectors using a 2×2 matrix example: Let’s say the transformation matrix was: A = [ 2 1 ] [ 1 2 ] Step 1: Find eigenvalues (λ) We solve: A·v = λ·v → (A − λI)·v = 0 → det(A − λI) = 0 Subtract λ from each diagonal entry of A: A − λI = [ 2−λ 1 ] [ 1 2−λ ] Set the determinant equal to 0 and solve for λ: Determinant: (2−λ)(2−λ) − 1 = 0 (2−λ)² − 1 = 0 (2−λ)² = 1 2 − λ = ±1 λ = 2 ± 1 Case 1: λ = 2 − 1 → λ = 1 Case 2: λ = 2 + 1 → λ = 3 So, the eigenvalues are: λ₁ = 1, λ₂ = 3 Step 2: Find eigenvectors (v) For λ = 1: (A − λI)·v = 0 [ 2−λ 1 ] [ x ] = [ 0 ] [ 1 2−λ ] [ y ] [ 0 ] [ 2−1 1 ] [ x ] = [ 0 ] [ 1 2−1 ] [ y ] [ 0 ] [ 1 1 ] [ x ] = [ 0 ] [ 1 1 ] [ y ] [ 0 ] From the first row: x + y = 0 y = −x From the second row: x + y = 0 y = −x So, the eigenvector is any scalar multiple of [ 1, −1 ]ᵀ. For λ = 3: (A − λI)·v = 0 [ 2−λ 1 ] [ x ] = [ 0 ] [ 1 2−λ ] [ y ] [ 0 ] [ 2−3 1 ] [ x ] = [ 0 ] [ 1 2−3 ] [ y ] [ 0 ] [ −1 1 ] [ x ] = [ 0 ] [ 1 −1 ] [ y ] [ 0 ] From the first row: −x + y = 0 y = x From the second row: x − y = 0 x = y So, the eigenvector is any scalar multiple of [ 1, 1 ]ᵀ. Final result: λ = 1 → v = [ 1, −1 ] λ = 3 → v = [ 1, 1 ] Congratulations 🎉, You have just learned how to find the eigenvectors and eigenvalues of a matrix. Bonus: Why does AI/ML care? Eigenvalues and eigenvectors are everywhere in AI/ML: PCA → Reduces dimensions by keeping the top eigenvectors of the covariance matrix (largest eigenvalues = most variance). Spectral clustering → Graph Laplacian eigenvalues help find clusters. Neural stability → Eigenvalues of weight matrices can indicate exploding or vanishing gradients. Markov chains → Long-term behavior is the eigenvector with eigenvalue 1. In short: Eigenvectors tell you the “unchangeable direction” under a transformation. Eigenvalues tell you “how much” that direction is stretched.

@justalexagain @r0ktech AI models don't think.

@r0ktech but you can also use AI as a thinking partner, which is even more powerful than just typing. now you can iterate architectural concepts at the speed of light

Coding is thinking, AI just saved us the typing time.

@AstronomyVibes Do AI systems think???

🚨 Your brain is running on just 12 watts right now while processing this sentence. An AI system would need 2.7 billion watts to do the same thing. That's not a typo. The human brain operates on roughly the same amount of power as a dim light bulb, yet it can recognize faces, solve complex problems, create art, and experience emotions simultaneously. Meanwhile, artificial intelligence systems require massive data centers consuming enough electricity to power entire cities just to simulate a fraction of what your brain does effortlessly. Think about what your brain accomplished just reading this far. It decoded symbols into meaning, connected new information to existing memories, probably triggered some emotional responses, and maybe even started forming opinions about AI energy consumption. All while maintaining your heartbeat, breathing, and thousands of other bodily functions. Total power consumption: 12 watts. The most advanced AI systems need server farms filled with thousands of high-powered processors, industrial cooling systems, and backup power supplies. They consume roughly 225 million times more energy than your brain to perform similar cognitive tasks. It's like comparing a bicycle to a freight train in terms of efficiency. This incredible disparity reveals just how remarkably evolution has optimized biological intelligence. Millions of years of natural selection created a thinking machine so efficient it makes our most advanced technology look primitive and wasteful by comparison. Your smartphone uses more power than your brain while being infinitely less capable. Every thought you're having right now represents the pinnacle of energy-efficient computing, wrapped in three pounds of biological tissue that somehow generates consciousness, creativity, and dreams. Nature got there first, and we're still trying to catch up.

Been optimizing this for months. What do you guys think? Also, how cool and helpful would a local search engine be?

What are you guys thoughts on a local search engine?

@Bhavani_00007 The problem is not in writing the code, the problem is our current SOTA AI models cannot innovate.

If AI could write 95% of your code then what skill becomes the MOST important for developers??

Sometimes, I miss the sheer entertaining idiocy of pronouns in bio

@elonmusk Lol, verified since 3000 BCE

@OutroCanary @leolanza @AstronomyVibes It's not conducting because there's no medium it's irradiating

@leolanza @AstronomyVibes But how is the heat conducted through vacuum?

No stupid questions.

@thevirdas "Undresses people"?

When you consider the fact that this dude made a platform that undresses people….

@NanouuSymeon Lol, print()

As a Developer, what do you use for debugging?

@khemkhao @SolanaSensei @immasiddx There is currently no such thing as a thinking engine.

@SolanaSensei @immasiddx Google = search engine ChatGPT = thinking engine

STOP ASKING CHATGPT THINGS YOU CAN GOOGLE. STOP ASKING CHATGPT THINGS YOU CAN GOOGLE. STOP ASKING CHATGPT THINGS YOU CAN GOOGLE. STOP ASKING CHATGPT THINGS YOU CAN GOOGLE. STOP ASKING CHATGPT THINGS YOU CAN GOOGLE. STOP ASKING CHATGPT THINGS YOU CAN GOOGLE.

Lol, $600B is equivalent to $1B each to 600 individuals. It's not that hard.

@elonmusk @DarrigoMelanie Why always Elon this, Elon that and never the true reality behind the scarcity of money. Truly, I do not get this.

@DarrigoMelanie Ironically, Optimus, FSD and AI will provide all the things this moocher demands

Elon Musk is so rich that he could pay for: - tuition-free public college - universal childcare - close the cap to fund universal school meals - paid sick leave - ending homelessness - ending hunger - UBI of $1250 for every adult ...and he'd still be a billionaire.