01 Jul 2025
Wikipedia has a page of AI
catchphrases, which are phrases and formatting conventions
typical of AI chatbots, such as ChatGPT.
The list isn’t just useful for trying to spot if some text was
generated by AI. (That’s a hard task that’s probably a bad idea to try,
because you end up blaming too many innocent people. As a large language
model, I cannot advise you to rely on automated AI detection
services.) What’s really valuable about this list is the examples of
ways to improve human-written text.
is/stands as/serves as a testament, plays a vital/significant role, underscores its importance, continues to captivate, leaves a lasting impact, watershed moment, key turning point
ChatGPT puffs up the importance of the subject matter with reminders that it represents or contributes to a broader topic.
Might as well replace these assertions of importance with some useful info.rich cultural heritage, rich history, breathtaking, must-visit, must-see, stunning natural beauty, enduring/lasting legacy, rich cultural tapestry These are all opportunities to get specific and show not tell. Use a memorable fact instead of one of these claims?
it’s important to note/remember/consider, it is worth, no discussion would be complete without These should go without saying. Otherwise, why put more wear on your one wild and precious set of carpal tunnels even typing it?
on the other hand, moreover, in addition, furthermore More extra verbiage. It might make the AI-generated text
flow
better to a reviewer, but if the sentence is clear without one of these, it can go.
Related: 3 shell scripts: Kill weasel words, avoid the passive, eliminate duplicates by Matt Might.
various, a number of, fairly, and quite
Sentences that cut these words out become stronger.
very, extremely, several, exceedingly, many, most, few, vast.
Students insert lazy words in order to avoid making a quantitative characterization. They give the impression that the author has not yet conducted said characterization.
Includes a script to spot these along with example
Makefile
lines.
Bonus links
Make Fun Of
Them by Ed Zitron. (I have to disagree with this one. It’s not that
today’s leading VCs and Big Tech CEOs lack intelligence,
it’s
that there’s no g
for managers and investors. The current tech big shots came up at a time
when transformative inventions were happening faster than the value
could be captured. The problem wasn’t inventing, it was getting a piece
of the action for your startup or your project within a big company. So
they’re probably outliers on the high end of the kind of intelligence
required for capturing value. A different kind of intelligence is going
to be needed now that useful inventions are growing more scarce.)
Here’s
a Tip to Companies: Beware of Promoting AI in Products by Sean
Captain. In each test, members of the group that saw the AI-related
wording were less likely to say they would want to try, buy or actively
seek out any of the products or services being advertised compared with
people in the other group.
Why
Big Tech Turned Against Democrats — and Democracy by Paul Krugman.
The public might not care about the wealth of our new oligarchs if
people felt that the tech lords were earning their vast fortunes by
providing ever better products. But many people, myself included, feel
if anything that what Big Tech offers is getting worse, not better, as
companies shift their focus from creating new and useful tools to
exploiting their market position.
(Related: The
Circularity of Meritocracy)
Audiences
Prove that the Experts Are Dead Wrong by Ted Gioia. Things will
get better. And that will happen even though the forces aligned against
creative vocations and human flourishing appear to be huge—so much so
that many have given up hope. Today I want to give an example of a
reversal that is happening right now—but few have noticed. I’ll explain
the shift, and then I will describe in some detail why this is
happening.
I
Fact-Checked This Cannes-Winning Sustainability Campaign. It’s
Bullshit. by Polina Zabrodskaya. Love a good sustainability
report. So I did what most agencies don’t: I read it. It’s 302 pages
long, which makes finding the key numbers an insane challenge.