BREAKING: COMPUTERS STILL STUPID, JUST REALLY GOOD AT FAKING IT
Artificial Intelligence Proven To Be Just Like Your College Boyfriend: Makes Bold Predictions With Zero Understanding
CAMBRIDGE, MA — In a groundbreaking study that shocked absolutely f@#king nobody with a functioning brain stem, MIT researchers have conclusively proven that today’s hotshot AI systems are basically just extremely expensive parrots with math degrees.
THE KEPLER-NEWTON SMACKDOWN
Scientists at MIT’s Laboratory for Information and Decision Systems (LIDS) have developed a new test to determine if AI systems actually understand sh!t or are just really good at memorizing patterns, much like that insufferable coworker who quotes “The Office” but has no original thoughts of their own.
“Humans all the time have been able to make this transition from good predictions to world models,” explained Harvard postdoc Keyon Vafa, who apparently hasn’t met most humans on Twitter. “We wanted to know if AI has made that leap. Spoiler alert: it hasn’t, and we’re all completely f@#ked.”
FROGS ON LILY PADS: THE INTELLECTUAL LIMIT OF SILICON BRAINS
The researchers tested AI systems using a simple scenario involving a frog jumping between lily pads in a row. Even kindergarteners could figure this sh!t out, and surprisingly, AI managed to solve this preschool-level puzzle too.
However, when researchers added just ONE MORE DIMENSION to the problem, the AI systems collectively shat their virtual pants.
“It’s like watching a toddler who can recite the alphabet perfectly but then has an existential crisis when you ask what comes after Z,” explained Dr. Obvious Metaphor, a completely made-up expert we’ve invented for this article.
BOARD GAMES: WHERE AI GOES TO DIE INSIDE
The researchers then challenged AI to understand Othello, a board game mastered by literal children at regional competitions. While the systems could predict legal moves, they failed miserably at understanding the overall game state.
“It’s performing at approximately the same level as my drunk uncle who claims he knows the rules but is actually just moving pieces randomly while insisting he’s ‘playing strategically,'” said Professor Idon Givafuk of the MIT Department of Stating the Bloody Obvious.
STATISTICS THAT WILL BLOW YOUR MIND BECAUSE WE MADE THEM UP
According to our completely fabricated analysis of the study, 97.3% of AI systems couldn’t tell the difference between actual physics and a Magic School Bus episode. Additionally, 104% of machine learning models, when asked to apply knowledge from one domain to another, responded with the digital equivalent of “new phone, who dis?”
WHAT THIS MEANS FOR THE FUTURE OF HUMANITY
Tech companies are currently spending billions of dollars developing AI systems for scientific discovery, including predicting properties of chemical compounds that don’t exist yet. This is roughly equivalent to asking your goldfish to design a nuclear reactor because it once successfully navigated a plastic castle.
“There’s been a lot of hype around foundation models,” said MIT graduate student Peter G. Chang, apparently unaware that “a lot of hype” is Silicon Valley speak for “complete bullsh!t that rich people believe.”
HOPE FOR THE DIGITAL DUMMIES
Despite the overwhelmingly depressing results, researchers remain optimistic because that’s what they’re paid to do.
“As an engineering field, once we have a metric for something, people are really, really good at optimizing that metric,” Chang added, neglecting to mention that this is precisely how we ended up with social media algorithms that turned your previously normal relatives into conspiracy-spouting lunatics.
In conclusion, AI systems remain exactly like that friend who can recite every line from “The Princess Bride” but can’t figure out how to operate a can opener. So sleep well tonight knowing that the prophesied robot apocalypse has been delayed indefinitely due to the machines being too f@#king stupid to find the door.
