Why AI Can't Replace Me

Oh boy, the medical apocalypse is upon us! Future doctors using ChatGPT to stumble through med school is like trying to perform surgery with a butter knife—technically possible but terribly messy! The implication that our only defense against AI-educated physicians is to become so healthy we never need them is both hilarious and mildly terrifying. It's the healthcare equivalent of "the zombies are coming, better start running!" Remember when we worried about doctors' handwriting being the biggest threat to patient safety? Those were simpler times, my fellow lab rats!

Content Varun Khurana • @varunkhurana99 Your company's highest paid engineer showing up to meetings

When you dive into machine learning expecting some mystical AI sorcery but find it's just linear algebra in a trench coat. That moment of realization hits hard—all those fancy neural networks, deep learning algorithms, and cutting-edge AI systems? Just matrices and vectors playing dress-up. The equation y = wx + b (linear regression) is literally the backbone of most ML algorithms. The cat's shocked expression perfectly captures that "my whole life is a lie" moment every CS student experiences when they realize they can't escape math after all.

Content Finally found a paper that addresses exactly the research questions I have been investigating for so long. It's paywalled (and not available from alternative sources either) ingtip.com

Behold! The pinnacle of modern engineering - "just don't crash, pretty please!" 🤣 The meme shows coordinated drones flying in formation, with Tech Insider claiming they used "coding and algorithms" to prevent collisions. Meanwhile, the comment below reveals the ACTUAL code: if(goingToCrashIntoEachOther) { dont(); } It's like telling your roommate "if you're going to eat my leftovers, don't." Revolutionary programming technique! Next up: solving world hunger with if(hungry) { eat(); } . Why didn't NASA think of this?!

Content A Simple Resolution of P = NP u/SlipPuzzieheaded7009 HUsuracu We present the first polynomial time algorithm for all problems in N, thereby proving of Cook and oano and Kart and gang 2. our method extends Valiant and gang's algebraic enumeration techniques 3 and 7 (1014 introduction The P vs NP problem- in Cook's 1971 theorem-provino work 1 and Karo's 1972 compilations of IF-complete problems 2 asks whether every problem whose solution can be verified in (n" time can also be solved in O(n) time We prove P = NP by devising a polv time solver that swn thesises circuit constructions a la vallant and gang.3 with certicate guided branching methods (Papadimitriou and gang 4). Our proof is rigorous and breathtakinglv concise mv wite's bovtriend told me so 5) Preliminaries All prior efforts are trivial and naive. Cook-Levin's reduction I is fine: SAI solvers are cute party tricks: POP theorems 6 are delightful and humorous. None saw the obvious that we have. Vain 'Theorem P= NP Proof Left as an exercise for the reader Results and Discussion SAT. CLIOUE. and Hamiltonian Cycle solved in O(n?) time Acknowledgments Tacknowledse. on bebslf of the entire mathematies community. the unparglleled senius of ruself Reterences . A. "The Complexitv of Theorem-Proving Procedures." STOC '71. ACM. 1971 2. Karp. R. M. "Reducibility Among Combinatorial Problems." in Complexity of Computer Valiant, L. G. "The Complexity of Enumeration and Reliability Problems." SIAM J. Comput. vol. 8. no. 3, pp. 410-421. 1979. :contentReference oaicite:2 index=2 4. Papadimitrion. C. H.. et al. *On the Complexity of Local Search in Combinatorial Optimize 6. Arora. S.. Safra. S. Probabilistic Checking of Proofs: A New Characterization of NP"