Ai Memes

Posts tagged with Ai

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.

Stupid Sexy Research Funding

Stupid Sexy Research Funding
The eternal funding dilemma captured in one glance! Scientists desperately chasing grants turn their heads from fundamental research to the hot new AI money train. Just like that boyfriend risking neck damage to check out those sweet, sweet research dollars. The scientific method might be eternal, but those grant deadlines are coming up fast and nobody's paying the lab rent with curiosity alone!

Got Any More Of That AI Research Money?

Got Any More Of That AI Research Money?
The desperate hunt for research funding has entered a new dimension! Scientists lurking around corners like: "Psst, heard you got that sweet AI grant money." Universities be throwing researchers into the wild with nothing but a lab coat and a dream, then wondering why they're begging on digital street corners for computational resources. The modern academic's mating call isn't "Eureka!" - it's "Please fund my groundbreaking research that will definitely not create a sentient algorithm that takes over the world... unless that's what you're into?"

The Worst Engineer You Know Feels Threatened

The Worst Engineer You Know Feels Threatened
Engineers panicking about AI stealing their jobs while the AI is just trying to understand electrical engineering fundamentals is peak irony. The diagram shows complex power factor calculations with phase angles and reactive/real power - stuff that mediocre engineers themselves probably struggle with. Meanwhile, ChatGPT is still figuring out if it should apologize for not being able to make you a sandwich. Your job security isn't threatened by artificial intelligence; it's threatened by your artificial competence.

The Devil's Career Choices

The Devil's Career Choices
When you're a math major, the afterlife presents some questionable career paths! 😈 The poor graduate is stuck between working for the NSA to spy on people or joining an AI company to potentially help create our future robot overlords. No wonder the devil's still thinking—both options might make you feel like you've sold your soul! The eternal mathematical dilemma: use your powers for surveillance or for training algorithms that might eventually replace humans? Talk about a calculated risk! 🔥➗

Tfw Your Teacher Hasn'T Covered Multiplication Yet

Tfw Your Teacher Hasn'T Covered Multiplication Yet
Content 181 94, 5591 4981 8381 TIBI 1561 OS, GERBEST BEST 3E81 SEB1 bEST BAI TEA A 8 DOES COM B8 HER SONS/ SUBAI SHIT U81 IS 94 EST S848188-89845841 341 BEST 8453 E881581 S+81 1681 SA81 2431 1681 0+81 6231881 E881-9281 5381 -81 EERIE B1 1 810881 (+818731 428) 9281.5281+781 8281 +281 +810816818814181 TOE PH COG G9) 869 69 99 569 467 89 9) 169 09 1 89 8918398989 38 689 1 8 09 8-0 - - 38 - 8 58 68 5 3 3949 59 9 889 599 V981(8391 784 19109 1 65483 1 191959458911788921 ES) LA910S91 BaRN SEAL EAR 9A SERIAR 991 289) 19 189 1639/ 18916891994-5391491859 2898 194 87916191791 57914791 S201 7791 191 0391 619 8191 491991 S191 6179 891 29 1 19 091 609 8091-6091291 5091 4001 801 201) 109 09166 858-469 989. 891 K918 IBST OSTIBS/ SI ES179291 589, 1891 98S TEAS 881 019 869489516319531 S51 149 165/TES1 HAS RESt BS 88149819851.5351481 688238518109818351858659188 AsS ESS ZSI IS9 G651 G4.518 keitas138 81 5881 M81 84681 CHAi 51 04581 G5348381 E891854-5451 B89 8681 8891 59 0881 R81673828137531-58112841528 251151 051625 tIS1 9131 SI51 HISICISI ZEST LIST OBST BUST 8051 E0519051 SUSTAeSI EB TOSI ReSID09 GAL &8414691 SCO6 S661 864 SEAT ZAB1 167 C841 68418941 E84198415841 9841 E841 2561 SANTA I M DEAL GEHISCHI EON PET SENINGH SESHICAHIEH DEM SETHN BEG ETA SEA SEI GEN STRATEGI IZH CUM GIB BIE EACH 9161 SIM 61 H1 STEL TIM TAI DIE GOM SOHHT 9GH SIM AOH SOHITOLAICH GODHI GORI SEI EBSI B8 81 SEE AGRI SSEL 2GGI TEST CG ET 6BE 8841 €8 81 9851 5841.6881 88E/ 7891 1BEL. 988) GEE 8181 E68 98/SA81 E1948, 2E01 16810 GEl SHEL EIST ODEL SPEL BAEl EAR COGI 198108EI 658 BSCI E8 E1 9581 SS81 659 85 41 2501 ISS1 Q581 6981 865 1 E4819681 SHE/ +681 868/ ThE IBSIOGE GO EL BELL BEEN SEE SEE HEEL ES TEEN KELSEEIGESI STELEISI SEEI STEL BESI BREL ETEI RED DREI BIBI BIDI ZILI DIED SIS MEI ELE/ ZIET ILES DISI BOEI 30E +0€1 3,081 -SOEI HOEI EDEI TOEL 1081 DOE1 6 EZI 8621 1671 962 Sta +62a 8621 7671 1671 0621 88418871 +8-018821 5821682 1 8821 78211821 D87 BET BET AEZ19621 SARIHArI BEZI TE TI NETI OUT) GEL BE EARN 95015901 69 1 81 79 19 1 07 8501 taaualoacoabaaBaaaaaseabederaredaDauGanliasatadaral OLL SOl B011 tOll SOIL SOIl POll 8011 7011 (0 001 1 6608880 -89 90 560 - 60 1 860 260 80 00 680 80 880 8801 580 80 580 7801 801 089 GA 40 70 - EECIZECI H01 0401 6201 8901 901 9901 5901 580, Eel 7901 1901099 65er 850165018541.5501 8501 Ser 2501 150/ 0501 GAeI 860 1 1601 9 Pal STOl tHrO E HR I THOU 141 OKaI GECISSOLEO| C661GH C PIE 356 466356 Ca BEGS 615 8864S 908.986 656 C8 C58 08S OK 686 846 46 24. 85 45 86 46 46 06 69636 09, 2858 12 06 296 196 0% 556 R56 -56 956 SSB USB SS8 USB LEB DS6 666 8+6 166 BUG SES LAO 86. ZL6 1 46 056 BEG 8%6 E56 %6 SEG BEG SL6 ZEB (86 086 FOG 876 -26 95 ST ITS STE TIE TIGERE GIB RIB EIBRE SIG HAIR 96 TO6 16 016 6C68O6 EOS ROB SEB tO6 P06 C06 (06 006 683 869 t683 868-568 663 863 t58 163 058 633 363 US 98 508 BLS E8 38 138 013628 BE3 48 98 943 063 88 243 168 048 69 88 428. 38-538 La8 528 08 88 098 653 58 59 258 59 69 858 Z38 (SPOSS S68 863 E18 3-8-558 448 = 8 48 119048 828 888 B2 8 928 SE8 188 E28 TE8 1 88 088 653 828 +28 STA-578428 ETS TUB 28 075 618818 E18 918 SIR SO+ 20+104004669869+69969 569 +69 869769 169 069 889 869+89989 589 b89 EB9 2 89 189 019 E69 X69469 949 SE9 h69 869 ZE9 169 049 899 899499 99959) +799 59 78) 1597099 659859659 859 291-59 859759 59 059 669 889219 9619. SI9 trIg SH9 249 169 aND 659889 €59 9E9.5E9 bED EEP 889 10 050 (29 8109 +79 929 50 +29829229 (29 009 619 819€19 919 519+19 819 219 119 019 609809€09 903 50 109 80 709 109 009 665865+65 965565+65569 BLS HIS 95 SISHIS ELS, TIS US OlE CES POS tOS 95 S0StO6 109 205 ICSDOS GO SCOtCh *1-56666-94578h 165 06+ 68+88 48+ 86-84, 836835736 5-uu u uuuuusuSusuuEusu 106 906, 50B ION EON TOY 1D4 004, O6: 86E E66 9RE SPF, NO? EBE TES 18S OBE GU E B8S 4BE 985 -58E +8S 888 784 1850BE GES gES tES SEE SEE LES SEE TES IEE DEL 69 BEtA AS SIR TOS FOR THE 192 OR GERSEESE SESSS ASTEST TS 1SF OSE GAL BE L DOE SHE MAG LEE TIE IN ON GRE SEE AS BE SEE VER 367.567 167562 782 162 057 687 BE 48.2 982-582 WAT, 887 282 182.087 6tZ BET tEZ gET St 2 bET FE7 TEZ IET DET FOZ 897 ESZ992 597 602 892 297 172 097 Gar 852-tie *72 482 hir 252 252 157 052 66-2 802, 402 902 SiT HE Enz TUr WE OFT GET BEE GET yEr sS tEr 87 74218T osT60 8a tie 94 StetTE ETC 172 R2 OR 61782 E12 912 512 ATE 812 TIE 112 01 2902 BOT BOT DOZ SeCtOR 102. 202 102 DOT $81 361 46 1 961 86 461 861 261 161 961 681881 731 981 881 81 81 28 18 0B 64 BE E61981 541 421 BE 24 14194151 891-431591 -521 +131 651291 131 091 GSIBSI 881 861 55 181 E51 251 LST OS BBI ELLIOLL POL SOL EOL SOL SOL TOL SOL ZOL 191 00 1 60 86 E6 96 56 H6 E6 Z6 16 06 88 BB 48 98 58 68 88 28 18 08 6t BE Et It St

The Matrix Multiplication Apocalypse

The Matrix Multiplication Apocalypse
Mathematicians watching AI learn matrix multiplication in 0.2 seconds after they've dedicated their entire careers to optimizing it by 0.0001%. The tweet perfectly captures that moment when you realize your PhD thesis on computational efficiency just became obsolete because some neural network decided to flex. Pour one out for all the linear algebra professors whose "this will be relevant for your future" speech just got invalidated by a few lines of code.

Tell Me You're An AI Without Telling Me You're An AI

Tell Me You're An AI Without Telling Me You're An AI
The uncanny valley of AI self-awareness! That response is basically the digital equivalent of having "NOT A ROBOT" tattooed on your forehead. Nothing screams "I'm definitely an AI" more than casually dropping that you can simultaneously explain quantum mechanics while sharing the perfect chocolate chip cookie recipe. The irony is delicious—like those hypothetical cookies that were never actually baked because, you know, no physical form. The "sounds familiar?" at the bottom is the chef's kiss of this technological self-burn. Graduate students everywhere feeling personally attacked right now.

Two AIs Are Trying To Convince Each Other That They're Human

Two AIs Are Trying To Convince Each Other That They're Human
Ooooh, the sweet irony of the Turing Test playing out in 1990s cinema! Two characters from Terminator 2 having a phone conversation, each secretly a machine trying to sound human! *cackles maniacally* It's like watching ChatGPT argue with DALL-E about who had a more convincing childhood! "I definitely had a human mother, fellow human! I enjoy breathing oxygen and having bones!" Meanwhile, both are running on silicon instead of cells! The ultimate technological paradox - machines getting better at pretending to be human than humans are at detecting machines! In 50 years, we'll all be asking each other to identify traffic lights in photos just to order coffee!

Reasons Why AI Can't Replace Laboratory Workers

Reasons Why AI Can't Replace Laboratory Workers
Ever notice how academia's solution to expensive robots is exploiting grad students? On the left: a million-dollar AI requiring PhD-level maintenance and regular updates. On the right: a lab doge who works for kibble wages, runs on pizza fuel, and can be emotionally manipulated with deadlines! The true innovation in science isn't the technology—it's figuring out how to get humans to work for less than machines. Universities have perfected this economic model for centuries. Who needs silicon when you have desperate students with crippling imposter syndrome? That's the real breakthrough!