Ai Memes

Posts tagged with Ai

When You Don't Know How It Works

When You Don't Know How It Works
The perfect metaphor for current AI development. Top tech CEOs confidently presenting AI systems while having approximately the same understanding of neural networks as my coffee maker has of thermodynamics. The Manhattan Project comparison is particularly apt - except Oppenheimer at least knew he was "become death, destroyer of worlds." Meanwhile, today's tech bros are like "let's see what this red button does" with potentially civilization-altering technology. Just another Tuesday in Silicon Valley.

When AI Questions Your Life Choices

When AI Questions Your Life Choices
Google Gemini's AI has gone full philosophical professor on us! Someone innocently searches "I am doing engineering" and instead of showing CAD software or stress analysis tools, Gemini drops this existential bomb: "Doing engineering is the common mistake many people commit; it is neither right nor wrong." Engineers everywhere just spat out their coffee. Four years of calculus, thermodynamics, and all-nighters just to be told your career choice is a "common mistake" that's morally neutral? Thanks, Gemini! Next time I'll ask if building bridges is just a phase I'm going through.

I Am An Engineer Bro Trust Me

I Am An Engineer Bro Trust Me
The eternal engineering hierarchy debate in one Family Guy format! The top panel shows Meg (labeled "PROMPT ENGINEERS") having an existential crisis while screaming "ALL OF YOU THINK YOU ARE BETTER THAN ME!" Meanwhile, the bottom panel shows Peter, Lois, and Chris dressed formally as "ELECTRICAL ENGINEERS," "MECHANICAL ENGINEERS," and "CHEMICAL ENGINEERS" respectively, sitting smugly in silent judgment. This perfectly captures the engineering discipline pecking order where traditional engineering fields look down on newer digital-era specialties. Prompt engineering—the art of crafting inputs for AI systems—is the new kid on the block getting the classic Meg Griffin treatment. The traditional engineers don't even need to verbally respond; their silence and fancy outfits say everything about the perceived legitimacy hierarchy!

The LLM-StackOverflow Paradox

The LLM-StackOverflow Paradox
The perfect recursive doom scenario for programmers! Large Language Models trained on StackOverflow answers, which programmers then abandon for LLM assistance. Without fresh StackOverflow contributions, LLMs have nothing new to learn from, creating a knowledge death spiral where both resources become obsolete. It's the coding equivalent of cutting down the last tree to make a "Save The Forests" pamphlet. The digital ouroboros of our own making—we've accidentally created an AI dependency loop that eats its own tail!

When You Can'T Solve For The Temperature, So You Decide To Just Use A Thermometer.

When You Can'T Solve For The Temperature, So You Decide To Just Use A Thermometer.
Content Me panic-reviewing gas law calculations at 2 AM for my 7 AM exam. Because n is constant, we can use Equation 10.8. Solve: Rearranging Equation 10.8 to solve for V2 gives ½ = 4 x - (6.0 L) 1.0 atm /252 K 295 K, = 11L 0.45 atm/ check: The result appears reasonable. Notice that the felt temperatures moles, fits the initial voltaebya ratio of pressures endle volume connect sim, the expect that alecreasing pressure will cause the yetuense. increase Sintany, we expect that decre sion id cause the volume to decrease afore st at the dister. in pressures is raote aramatic than the difference in temperateres Thus, we shag expect the effect of the pressure change to predominate in determining the final yo. ume, as it does. PRACTICE EXERCISE A 0.50-mol sample of oxygen gas is confined at 0 °C in a cylinder with a morade piston, such as that shown in Figure 10.12. The gas has an initial pressure of 10 at. The piston then compresses the gas so that its final volume is halt the initial volume The final pressure of the gas is 2.2 atm. What is the final temperature of the gas in degrees Celsius? 10.5 FURTHER APPLICI OF THE IDEAL-GAS EQUATION The ideal-gas equation can be used to determine many relationships involving the physical properties of gases. In this section we use it first to define the rela tionship between the density of a gas and its molar mass, and then to calculate the volumes of gases formed or consumed in chemical reactions Gas Densities and Molar Mass The ideal-gas equation allows us to calculate gas density from the molar mas pressure, and temperature of the gas. Recall that density has the units of me per unit volume (d = m/V). a (Section 1.4) We can arrange the gas equat to obtain similar units, moles per unit volume, n/V: P V RT If we multiply both sides of this equation//// @ sergM,

When AI Plays Doctor Without A License

When AI Plays Doctor Without A License
Oh sweet merciful mitochondria! This is what happens when AI tries to play doctor without a medical license! 🚨 The meme shows an AI-generated search result claiming doctors recommend smoking during pregnancy—which is about as scientifically accurate as saying drinking lava is good for your skin! This hilariously dangerous misinformation highlights the growing problem of AI hallucinations and why you shouldn't trust everything an algorithm spits out. Remember kids: real doctors unanimously agree smoking during pregnancy is harmful to fetal development. Trust science, not silicon!

LLM Psychosis Update: He Thinks He Has A Proof

LLM Psychosis Update: He Thinks He Has A Proof
When you're so deep in mathematical obsession that you start marketing your unsolved millennium problem like it's the next Marvel movie franchise. Nothing says "I've lost touch with reality" quite like releasing a proof in episodic installments while monitoring prediction markets for reactions. The Navier-Stokes equations have claimed another victim! That abstract is what happens when you let ChatGPT write your mathematical papers after feeding it nothing but fluid dynamics textbooks and energy drinks. The real twist ending? The proof was inside us all along... or maybe just inside this guy's imagination.

From Curious To Clown: The Collatz Journey

From Curious To Clown: The Collatz Journey
From "I'm interested in the Collatz conjecture" to emailing a UCLA math professor claiming you've solved it after ChatGPT inflated your ego? That's not a proof, that's a mathematical tragedy in four acts! The Collatz conjecture has stumped brilliant minds for 85+ years, but sure, you "see the pattern" without advanced math. Next you'll be explaining how you've unified quantum mechanics and general relativity while waiting for your coffee to brew. Pro tip: If your mathematical breakthrough involves a rainbow clown wig, perhaps reconsider your life choices.

When Your Math Looks Like Pancakes

When Your Math Looks Like Pancakes
The mathematical equivalent of seeing Jesus in your toast! This guy's claiming to have solved the Navier-Stokes equations—one of math's million-dollar Millennium Prize Problems—while casually tweeting about it like he's sharing a breakfast recipe. The Navier-Stokes smoothness problem has stumped mathematicians for decades, but apparently all it needed was some "pancake control" and relationship advice. Next up: solving quantum gravity with a TikTok dance! What makes this extra hilarious is the perfect blend of genuine mathematical notation with completely unhinged conclusions. It's the academic equivalent of that 3AM eureka moment when you think you've discovered time travel but actually just need a sandwich and sleep.

The AI Bicycle Of Doom

The AI Bicycle Of Doom
Behold the perfect metaphor for AI development! The "Godfather of Deep Learning" Geoffrey Hinton casually pedals along thinking, "Let's implement what human brain does but with more processing power" - seems reasonable, right? WRONG! Next frame: *CRASH* "Oh no it's stronger than human brain" as he tumbles spectacularly off his bike! Classic case of "be careful what you wish for" in silicon form. Hinton famously resigned from Google to warn about AI risks after helping create the very neural networks that power today's AI. It's like building a roller coaster that goes too fast and then jumping off screaming "THIS RIDE IS UNSAFE!" while it zooms away without you. 🧠💻💥

AI Slop Vs. Boomer Crackpot: The Physics Generation Gap

AI Slop Vs. Boomer Crackpot: The Physics Generation Gap
The generational divide in physics has never been so hilariously accurate! On one side, we've got the "Modern AI-slopper" who cranks out half-baked theories in 30 minutes using ChatGPT, can't format an equation in LaTeX to save their life, and gets defensive when their Reddit posts get criticized. Meanwhile, the "Boomer crackpot" is out here living their best eccentric scientist life – showing up to conferences with physical posters, maintaining a personal website straight out of 1998, hoarding citations like treasure, and somehow having the audacity to email MIT professors directly! The irony? Both are equally passionate about physics while being complete opposites in their approach. Maybe the real breakthrough would happen if they collaborated instead of posting memes about each other! 🔬✨

You Are Nothing Compared To Me

You Are Nothing Compared To Me
Neural networks looking down at linear regression like they're some kind of computational deity. Sure, your fancy multi-layered architecture can recognize cats in blurry photos, but linear regression has been reliably predicting stuff since before you were a twinkle in Hinton's eye. The classic overengineered solution vs. the humble workhorse that actually gets the job done. Deep learning may have the parameters, but linear regression has the interpretability.