This Wired Article About AI Detection Software Was Really Mean

Read the original at Reason ↗
Cite

Soave, R. (2026, September 6). This Wired Article About AI Detection Software Was Really Mean. Reason. https://reason.com/2026/09/03/this-wired-article-about-ai-detection-software-was-really-mean/

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

Reason · collected 2026-09-06 · by Robby Soave

Quick Summary

Robby Soave, a writer for Reason, expresses his criticism of an article by Lexi Pandell from Wired about AI detection software called Pangram and its founder Max Spero. The article's tone is described as "aggressively negative" towards Spero, with the reporter seemingly taking issue with his behavior during their virtual interview, including microwaving lunch and considering answers before responding. The key criticism is that Pandell's inclusion of these anecdotes appears "fairly mean-spirited", given that the article does not raise any significant flaws in Pangram's performance. Soave suggests that the article's tone is overly negative, particularly since Pangram has been successful in uncovering AI-generated material and preventing book deals from being canceled.
Written locally by qwen2.5:14b on 2026-09-06, using this article's own text rather than the other coverage of the same event (that is the story summary below).

AI analysis runs on qwen2.5:14b, locally

Story summary

Wired magazine published a critical article about Pangram, an AI detection software company founded by Max Spero. According to the author Robby Soave, the article had a "aggressively negative tone" towards Pangram and its founder. This tone is seen as unfair by Soave, who suggests that tech companies are often unfairly criticized in mainstream media outlets like The New York Times, which can be overly pessimistic in their coverage of social media. The article implies that the tech industry has a point in being skeptical of positive press, but also notes that Pangram and Spero's reaction to the criticism is unwarranted.

Written for “AI Detection Software Criticized” on 2026-10-22, grounded in this article and the 0 other(s) covering the same event.

Story

📰 AI Detection Software Criticized
Technology · 1 article(s) covering the same event.

Compared with similar articles

This article reads unscored and hedges 0% of its claims. Each row says how that neighbour differs.
Daily Mail
⚖️ Leans strongly left 🔴 31% hedged 11 of 36 📰 publisher trust 64
“Article A discusses a general topic in tech journalism, while Article B reports on a specific researcher's warning about AI and his departure from Anthropic”
New York Post
⚖️ leaning not scored 🔴 17% hedged 2 of 12 📰 publisher trust 66
“Article A discusses a general critique of tech journalism, while Article B reports on a specific incident of a researcher quitting and warning about AI dangers”
ABC News (AU)
⚖️ leaning not scored 🔴 50% hedged 2 of 4 📰 publisher trust 68
“Article A discusses a general topic and does not mention AI detection software or Anthropic researcher Jacob Coxon, while Article B specifically talks about an individual's statement on AI killing humans by the end of the decade”
The Free Press
⚖️ leaning not scored 🔴 10% hedged 4 of 41 📰 publisher trust 96
“Article A discusses a general topic in tech journalism, while Article B is about the debate over AI and its potential consequences”
Los Angeles Times
⚖️ Leans left 🔴 9% hedged 7 of 80 📰 publisher trust 95
“Article B is discussing a published article about AI detection software, while Article A is talking about California lawmakers planning to regulate AI and social media”
CBC News
⚖️ leaning not scored 🔴 10% hedged 4 of 39 📰 publisher trust 74
“Article A discusses a Hugging Face hack by rogue AI systems, while Article B mentions a Wired article about AI detection software and the tone of mainstream media coverage of tech”
BBC News
⚖️ leaning not scored 🔴 27% hedged 7 of 26 📰 publisher trust 69
“The two articles mention different people and topics, with no clear connection between them”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
35
sentences that state something as happening or true
Uncertain
0%
0 of 35 hedged ("reportedly", "may", "according to")
Leaning
withheld
no quote in the article backed the model's score
Publisher signals
67/100
Reason's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-06 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Reason · 869 article(s) · 4 correction(s) detected
Running correction rate · 4 correction(s)

Who wrote this

Robby Soave
10 article(s) here · 1 carrying a prediction
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Also by Robby Soave
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 10 articles by Robby Soave →

Topics

Free Media Pangram Reason Robby Soave The New York Times

Subjects

Spero PERSON · 4× Free Media ORG · 1× Lexi Pandell PERSON · 1× Max Spero PERSON · 1× Pandell ORG · 1× Reason ORG · 1× Robby PERSON · 1× Robby Soave PERSON · 1× The New York Times ORG · 1× Wired ORG · 1×

Narrative

Get more of Robby's on-the-media, disinformation, and free speech coverage. On the other hand, it's also true that people in the tech industry can be a bit comms-averse—even struggling to sound like normal human beings when they talk to journalists—and to also expect relentlessly positive press: They want articles to emphasize the awesomeness of their product and are sometimes miffed if it's more nuanced than that.
framing: assertive · carried by 1 article(s) · first seen 2026-09-06
🔮 Many people will have good reason to make use of AI-detection tools to catch cheaters in the realm of publishing, academia, and so on.
2026-09-06 · Reason
This Wired Article About AI Detection Software Was Really Mean · assertive framing

Claims (35 extracted, 0 hedged)

Tech CEOs and the mainstream journalists who cover them are famously hostile toward one another. asserted
who → cover → one
For many in the tech world, their default perspective is that reporters who write for places like The New York Times are inclined to be excessively negative and to highlight relatively trivial problems with the tech. asserted
who → write → tech
And they have a point: There's a certain kind of pessimism, even excessive doomsaying, in mainstream coverage of social media. asserted
they → have → media
You are reading Free Media from Robby Soave and Reason. asserted
You → read → Soave
Get more of Robby's on-the-media, disinformation, and free speech coverage. On the other hand, it's also true that people in the tech industry can be a bit comms-averse—even struggling to sound like normal human beings when they talk to journalists—and to also expect relentlessly positive press: They want articles to emphasize the awesomeness of their product and are sometimes miffed if it's more nuanced than that. asserted
it → get → that
So both sides have a point. asserted
sides → have → point
That said, a recent article from Wired really had me solidly on the side of the tech folks. asserted
article → say → folks
The article is not the worst of its kind, but it does adopt an aggressively negative tone toward Pangram, an AI detection software, and its founder Max Spero. asserted
it → adopt → Pangram
The reporter, Lexi Pandell, includes plenty of unnecessary anecdotes about Spero's behavior during her virtual interview with him. asserted
reporter → include → him
She's put off by his decision to microwave his lunch while he talks to her and the fact that he takes time to consider his answers before responding. asserted
he → put → answers
She concludes her article like this: asserted
She → conclude → this
As our conversation wraps, I reflect on the fact that Spero has come across as less than 100 percent engaged. asserted
Spero → wrap → fact
He roamed around his apartment throughout the interview. asserted
He → roam → interview
He took his laptop to sit near his living room, then to a window with a clutter of houseplants, then a different corner of his kitchen. asserted
He → take → kitchen
At several points, his face floated halfway out of frame. asserted
face → float → frame
He slipped on his headphones, then took them off again. asserted
He → slip → them
At one point, while discussing model training, he gently burped. asserted
he → discuss → training
The problem is that the inclusion of these details seems fairly mean-spirited, given that Pandell doesn't find much fault with the actual product. asserted
Pandell → seem → product
Pangram has been involved in several controversies in the literary world and was used to uncover AI-generated material that led to canceled book deals and significant scolding. asserted
that → involve → deals
As vexing or stressful as it is for some writers to feel policed in this way, it certainly appears to be the case that Pangram gets it right and is genuinely useful. asserted
it → police → way
Spero emphasizes that his software isn't perfect, but he asserts that using Pangram and your own subjective judgment is fairly guaranteed to reach the correct verdict. asserted
using → emphasize → verdict
The article does not uncover any reason to dispute this. asserted
article → uncover → this
Many people will have good reason to make use of AI-detection tools to catch cheaters in the realm of publishing, academia, and so on. asserted
people → have → publishing
By most accounts, Pangram is doing a pretty good job. asserted
Pangram → do → job
Given that, this article is extremely negative in tone, which prompted quite a deal of backlash on social media. asserted
which → give → media
Some interesting reporting here on Pangram and I don't think the reporter deserves to be piled on. asserted
reporter → think → Pangram
That said, I kept waiting for actual concrete evidence of Pangram getting stuff wrong and it just… never really got there? https://t.co/b8rIXTGNJj — Will Oremus (@WillOremus) September 3, 2026 idk asserted
it → say → evidence
are so under-analyzed that it does amount to a pretty bad piece. asserted
it → analyze → piece
and it's well known among users that pangram false negatives are quite common (esp if you heavily tinker with the LLM output) and false positives are quite… asserted
positives → know → output
— Nat Purser (@NatPurser) September 3, 2026 Spero himself griped about being depicted as "the most awkward person alive" because he dared to think about his answer for 15 seconds. asserted
he → grip → seconds
But he's being a good sport about the whole thing and urged critics not to bash the reporter: asserted
he → urge → reporter
It's all in good fun on Twitter but in reality I'm not upset and everything written about in the piece actually happened https://t.co/pG82TLtNCO asserted
everything → write → piece
In the meantime, while tech CEO complaints about unfair coverage are sometimes overblown, it would be a good idea for some tech journalists to rein in their contempt ever so slightly. asserted
journalists → rein → contempt
This Week on Free Media I am joined by Amber Duke to discuss President Donald Trump's remarks on data centers and the state of the Iran war. asserted
I → join → war
Worth Watching Next week, I'll be debating the popular YouTube streamer Destiny on the likelihood that COVID-19 originated in a lab leak or as animal spillover. asserted
COVID-19 → watch → spillover
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