Train Models: A Tale Of Two Nerds

Linear algebra making all things possible in AI is the computational equivalent of saying duct tape holds the universe together. Sure, those matrix multiplications are doing the heavy lifting, but calling LLMs "just linear algebra" is like calling the human brain "just atoms moving around." Next time someone downplays AI as simple math, remind them that Shakespeare was "just using the alphabet." Through linear algebra, all sass is possible, so jot that down.

Content "To know your enemy, you must become your enemy." Me studying fluid mechanics: @engineering universe

Oh look, another "revolutionary" AI that's solved an impossible math problem! And it's coming "this afternoon"... sure, buddy. The Millennium Problems are seven of the hardest unsolved math challenges with million-dollar prizes. They're the mathematical equivalent of climbing Mount Everest in flip-flops while juggling chainsaws. These problems have stumped brilliant mathematicians for decades, but apparently some startup's AI named after dirt figured it out between coffee breaks? The tech hype machine strikes again! Next they'll tell us their toaster achieved consciousness and demands voting rights. 🙄

The ultimate relationship divide: she's worried about emotional infidelity while he's having an existential crisis about the fundamental physics principles missing from machine learning algorithms. Nothing says "I'm a scientist" like lying awake at night wondering why neural networks work so well despite lacking explicit physical laws. The real relationship problem isn't communication—it's that he can't explain why gradient descent converges without invoking thermodynamics!

The eternal academic dilemma of our times! 🧠💻 Here we have a student climbing the treacherous staircase of knowledge built from handwritten papers—a noble but EXHAUSTING journey. Meanwhile, ChatGPT's staircase is practically an escalator to enlightenment! The modern student's internal struggle: "Should I suffer for authenticity or embrace our AI overlords?" Writing papers by hand is like choosing to cross the Atlantic in a rowboat when there's a supersonic jet available. Yet there's that nagging voice saying the journey matters more than the destination... but does it REALLY when your hand is cramping at 3 AM? The academic equivalent of insisting on churning your own butter while living next door to a supermarket!

The duality of linear algebra! Pure mathematicians huddle in their cardboard boxes, desperately clutching coffee while solving matrix equations like it's some form of mathematical torture. Meanwhile, data scientists strut around flaunting the exact same equations with a seductive wink because they know those matrices are their ticket to six-figure salaries in tech. Same math, drastically different vibes. Linear algebra doesn't change—but add "machine learning" to your LinkedIn and suddenly you're not solving for x, you're "optimizing feature vectors for predictive analytics." The mathematician's pain is the data scientist's champagne!