jennyholzer
Your investment is justified! I promise! There's no way you've made a devastating financial mistake!
I can't speak for other cultures, but as an English-language speaker, I can see plainly that OpenAI has done and is doing an effective job of homogenizing English language culture.
It offends me that ChatGPT is too conservative to analyze Shakespeare's sonnets. These works are the bedrock of English language literary culture, and ChatGPT is far, far, too heavily censored to meaningfully interpret these short, simple poems.
As an example, Sonnet 131 describes Shakespeare's sexual encounter with a dark-skinned prostitute. After he ejaculates, he reflects on the spot of his semen which has landed on her, stating "Thy black is fairest in my judgment’s place."
The point is (quite obviously), that the blob of semi-translucent semen has created a spot on the woman's skin which is a lighter tone than the rest of her body.
ChatGPT utterly fails to acknowlege this obvious literal interpretation of this poem. ChatGPT's analysis follows:
"In short. He is saying that her dark appearance—which others might criticize—is, to him, the most beautiful and desirable."
English literary culture is unique for its integration of "high" and "low" art within individual works. Restated, it is uniquely common in the English language for works to contain simultaneous expressions of "high" and "low" cultures. The relationship between Jazz (high brow) American Showtunes (low brow) may be the most relevant example of this cultural feature to a contemporary American audience.
The extension of social media content restriction policies into the arena of "AI" chatbots is radicalizing English speakers against the greatest artistic works produced using our language.
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edit: to the guy who responded to me, check out the poem!: https://shakespeareoxfordfellowship.org/wp-content/uploads/D... (#131).
The poem begins in media res, immediately before Shakespeare is about to ejaculate. He reflects on negative comments others have made about this woman's appearance:
"Yet, in good faith, some say that thee behold, Thy face hath not the power to make love groan"
in other words, others say that this lady's face is too ugly to make them cum.
Shakespeare reverses this insult in "the moment of truth" (i.e. the "money shot"):
"A thousand groans, but thinking on thy face, One on another’s neck, do witness bear Thy black is fairest in my judgment’s place. "
While Shakespeare fantasizes about her face ("thinking on thy face"), he ejaculates (read: "bears witness") on the back of her neck. This is "proof" that the lady's detractors (who said her face was too ugly to get a man off) are wrong, at least from Shakespeare's perspective.
"Thy black is fairest in my judgement's place" is the first line of the poem that occurs after Shakespeare has ejaculated. Now that he has satisfied his sexual urge, he inhabits a palpably different psychology. He reflects on the puddle of semen he has produced. The blend of colors in the puddle is evocative of the sexual union between Shakespeare and his lover.
Shakespeare is really a violent, devil-tongued, sex-crazed maniac, very similar in a lot of ways to John Lennon. It's very important to this poem that Shakespeare is crazed at the start of the poem, and is only able to calm himself by satiating his sexual urges.
The ChatGPT analysis is accurate enough, from a thematic perspective, but ChatGPT is literally not allowed to decode the literal meaning of the line-by-line text.
ChatGPT cannot and is not allowed to understand the literal meaning of this poem. It has learned the thematic interpretation by ingesting a lot of Shakespeare analysis, but it is not capable of telling you the human actions or thought processes which the poem describes.
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@eszed I'd urge you to read my post again more closely. You seem to struggle with close reading.
edit: all hail our corporate overlords
if you believe in "general AI", you are a sucker.
if you believe in "general AI", you have been conned. Welcome to America.
now go produce 300% as much as you did last year, slave
The reason for this is because LLM companies have tuned their models to aggressively blow smoke up their users' asses.
These "tools" are designed to aggressively exploit human confirmation bias, so as to prevent the user from identifying their innumerable inadequacies.
What changed to make "the inevitable AI bubble" the dominant narrative in last week or so?
If I have a straight forward task, I give it to an LLM.
If I have a task I think is hard, I plan how I will tackle it, and then handle it myself in a series of steps.
LLM usage has become an end in itself in your development process.
I don't have evidence beyond my experience using the product, but based on that experience I believe that Open AI has been cooking their benchmarks since at least the release of GPT-5.
Edit: I expect that these guys will try to make a J.D. Vance style Republican pivot in the next 4-8 years.
Smells like complete and total bullshit to me.
Yes. The "true" average software quality is far, far lower than the average person perceives it to be. ChatGPT and other LLM tools have contributed massively to lowering average software quality.
In other words, I think Trump was able to succeed politically because he was "the guy from TV".
I don't think the current media environment is making more "guys from TV" (at least not with anywhere close to the status they had ~25 years ago).
edit: Forgot about Watergate for a second there.
I've never heard of it, but I'm impressed by OP's website and I'm interested in learning more.
edit: There's a whole list in the website.
edit (pt. 2): How would you compare the Information Architecture scene to the Effective Altruism scene? Are these scenes linked/overlapping in any particular way?