#2 I Asked Chatgpt To Predict What I’d Look Like At 36 Using My 12-Year-Old Photo. Here’s ChatGPT’s Prediction vs. My Actual Face
#3 Ha Love This! Mine Didn’t Come Out Very Similar But I Still Enjoyed Looking At Everyone’s
There’s a lot of hype, joy, anger, and distrust surrounding generative AI tools. It’s a very emotionally messy subject. You’ll find many people who have embraced the ongoing technological shift, integrated tools into their lives, and swear by them. That’s on top of the countless people using these models for fun, to power up their businesses, or even for something as sensitive as therapy and relationship advice.
On the other hand, there are plenty of (healthy) skeptics out there, too, who think the over-the-top hype doesn’t match the actual usefulness of these models. Not to mention all the artists, writers, and creatives who don’t exactly enjoy having their hard work scraped and plopped into datasets used to train the latest AI models. Without their permission, of course.
And let’s not forget how many folks in white-collar positions are scared that they’ll be replaced by cheaper (and arguably worse-performing, unreliable, unimaginative) models.
#6 Mine Was Hysterically Bad. I Gave It A Photo Of 16-Year-Old Me And Asked It To Age It Up To 41
Using LLMs (large language models) and generative AI might be handy, but it comes at a steep cost. Relying on them too much can erode your critical thinking skills, among other things.
Reporting on new research conducted by MIT’s Media Lab, Time Magazine explains that ChatGPT users had lower brain engagement than regular writers. The former “consistently underperformed at neural, linguistic, and behavioral levels” when using gen AI for essays.
#7 I Asked ChatGPT To Predict What I’d Look Like At 23 Using My 12-Year-Old Photo. Here’s Chatgpt’s Prediction vs. My Actual Face
According to the study, the individuals using ChatGPT actually got lazier with each essay they had to produce. By the end of the study, they often just copied and pasted whatever was generated.
While the study is relatively small and not yet peer-reviewed, the implication is more or less clear. Relying on LLMs might be convenient, but it harms brain development.
#10 Asked ChatGPT To Predict What I Would Look Like At 30-Year-Old Based On A Picture Of Me At 4. It Definitely Did Me Dirty. Me At 4, 30-Year-Old Prediction And Me Now At 28
#11 Asked What I’d Look Like Age 40, The Middle Pic. The Last Pic Is Lunch Time Today, Age 41. I Think The 80’s Florals Has Thrown It Off
#12 I Gave It Some Grace And Asked For It To Be Aged Up To 30 (I'm 42) It Made Me A Different Ethnicity (I'm Sicilian)
“What really motivated me to put it out now before waiting for a full peer review is that I am afraid in 6-8 months, there will be some policymaker who decides, ‘let’s do GPT kindergarten.’ I think that would be absolutely bad and detrimental. Developing brains are at the highest risk,” says the study’s main author, Nataliya Kosmyna.
#14 I Asked Chatgpt To Predict What I’d Look Like At 33, Using My 10 Year-Old Photo From My 5th Grade Picture. Here’s ChatGPT’s Prediction vs. My Current Face At Age 33
In the meantime, other recent studies have found that people feel lonelier and socialize less the more they spend time chatting with ChatGPT.
In particular, people who trusted the chatbot and tended to get emotionally attached in real relationships felt lonelier and more emotionally dependent on ChatGPT.
Furthermore, discussing general topics led to more emotional dependence on ChatGPT, while discussing personal topics led to feelings of loneliness in the short term.
#16 Just Turned 20 , I Told Chat To Show Me What They Think I’d Look Like In The Next 10 Years
#18 I’m Deaddddddd It Thought I Was A Boy At First And Then Still Proceeded To Get It Entirely Wrong
Even though many people have found uses for generative AI, like automating mundane work, these tools aren’t as powerful and reliable as some companies might have you believe.
Gary Marcus, a professor emeritus at New York University, author, and the founder of two AI companies, is one of the most insightful voices on the internet when it comes to speaking about the limitations and drawbacks of gen AI.
In a recent republished adaptation of his Substack essay in The Guardian, he covered Apple’s recent research paper about how LLMs and LRMs (large reasoning models) are limited in their reasoning, understanding, and general intelligence.
#19 Showing My 12 Year Old Photo, Asked ChatGPT To Show My 50 Year Old Version. Here Is What It Predicted vs. Real Me
