N
@N8Programs
what model ghostwrote this? or did you painstakingly mimic the horrifying n-grams of the original yourself.
27
0
1
4.0K
Community Sentiment Analysis
Real-time analysis of public opinion and engagement
Sentiment Distribution
65% Engaged
19% Positive
46% Negative
Positive
19%
Negative
46%
Neutral
35%
Critical Perspectives
Community concerns and opposing viewpoints
1
Repliers keep noting it’s from 2017, calling the post clickbait and a reheated “new” claim
Repliers keep noting it’s from 2017, calling the post clickbait and a reheated “new” claim.
2
Many read it as an algorithm/engagement test and a way to surface bot accounts, citing deliberate rage-bait
Many read it as an algorithm/engagement test and a way to surface bot accounts, citing deliberate rage-bait.
3
The thread leans into jokes, memes, and sarcasm, with plenty of digs at the LinkedIn-style writing and a few “delete this” reactions
The thread leans into jokes, memes, and sarcasm, with plenty of digs at the LinkedIn-style writing and a few “delete this” reactions.
4
A side debate erupts on Transformers vs
RNN/LSTM (with nods to linear transformers, edge use cases, and “images need CNNs”), plus tongue-in-cheek hot takes like “LSTMs FTW. ”
5
Several admit confusion—“what’s the joke/context
”—and link proofs that it’s not new.
6
Meta-parodies compare it to “discovering” Turing, Markov chains, or Galileo to mock the framing
Meta-parodies compare it to “discovering” Turing, Markov chains, or Galileo to mock the framing.
7
Engagement watchers call out quote-tweet farming, “aura farming,” and note this is “internet trolling at its finest
”
8
A few speculative asides pop up—AGI predictions, “beat the Turing test,” and “Does this kill REST APIs
”—mostly played for laughs.
V
@vsaha_twt
I hate the linkedin style of writing.
13
0
1
818
M
@MustafaBoorenie
internet trolling at its finest
12
0
0
515
Supporting Voices
Community members who agree with this perspective
1
Explosive enthusiasm
Replies call the work “revolutionary,” “mind‑blowing,” and a “game changer”, with some claiming it could change AI forever or even brush up against AGI.
2
Attention-centric insight
Many underline that “Attention Is All You Need” became the field’s backbone, praising simplicity unlocking scale and the shift from sequential bottlenecks to globally aware computation.
3
What’s next
Thoughtful questions ask whether progress comes from refining attention or entirely new paradigms, with practical nods to positional encodings and architecture tuning.
4
Product impact
People anticipate faster training, richer models, cleaner design—and speculate about ChatGPT integration and claims like “language is about to be solved.”
5
Social proof for the author
High-energy support—buying the newsletter, posting to LinkedIn, 10/10, “banger”—with praise that the breakdown is on to something big.
6
Links, humor, and edge notes
Calls to read the paper (and more links), sprinkled with memes and playful lines (“refactor my life into a Transformer stack,” “taoism operator”), plus rare sarcasm that doesn’t dent the surging excitement.
B
@bendee983
Wait till you read this paper
142
1
4
5.9K
M
@mpopv
Wow! You're certainly on to something here. This isn't just intriguing—it's potentially revolutionary.
111
0
1
2.6K
Y
@Yuchenj_UW
you are absolutely right!
59
0
0
3.2K