I’m curious if it could solve the traffic light and crosswalk ones, I would try but I’m out of free image uploads from asking it to explain memes to test its cultural knowledge.
Man the models can’t store verbatim its training data, the amount of data is turned into a model that is hundreds or thousands of times smaller than the original source data. If it was capable of simply recovering everything that it was trained on this would be some magical compression algorithm and that by itself would be extremely impressive.
The majority of people right now are fairly out of touch with the actual capabilities of modern models.
There’s a combination of the tech learning curve on the human side as well as an amplification of stories about the 0.5% most extreme failure conditions by a press core desperate to feature how shitty the technology they are terrified of taking their jobs is.
There’s some wild stuff most people just haven’t seen.
I can just as well say that the screenshot above is the top 0.5% pushed by people trying to sell the tech. I don’t really have an opinion either way tbh, I’m just being cynical. But my own experience with those tools hasn’t been impressive.
Yes it probably can… CAPTCHAs don’t work based on your answers (many types you can answer wrong and still sometimes pass) - they work by tracking your mouses movements and timing and deciding whether they human-like.
I’m curious if it could solve the traffic light and crosswalk ones, I would try but I’m out of free image uploads from asking it to explain memes to test its cultural knowledge.
Wow, that’s actually quite impressive.
I’m sure eventually someone will make a bot called something like ai-explains-the-joke that does this automatically.
I wonder how much was scraped from knowyourmeme.com
I mean it still parsed the specific text in the meme and formulated a coherent explanation of this specific meme, not just the meme format
Or it matched the text with an existing explanation upon which it was indexed.
That’s not how GPTs work
That’s literally how they work
Man the models can’t store verbatim its training data, the amount of data is turned into a model that is hundreds or thousands of times smaller than the original source data. If it was capable of simply recovering everything that it was trained on this would be some magical compression algorithm and that by itself would be extremely impressive.
Congratulations on discovering compression
Lmao you think it found a specific explanation for this specific variation of this meme?
The majority of people right now are fairly out of touch with the actual capabilities of modern models.
There’s a combination of the tech learning curve on the human side as well as an amplification of stories about the 0.5% most extreme failure conditions by a press core desperate to feature how shitty the technology they are terrified of taking their jobs is.
There’s some wild stuff most people just haven’t seen.
I can just as well say that the screenshot above is the top 0.5% pushed by people trying to sell the tech. I don’t really have an opinion either way tbh, I’m just being cynical. But my own experience with those tools hasn’t been impressive.
Yes it probably can… CAPTCHAs don’t work based on your answers (many types you can answer wrong and still sometimes pass) - they work by tracking your mouses movements and timing and deciding whether they human-like.
Why do i fail the “choose all images with motorcycles” challenges all the time then :c
Are you human?
laughs nervously