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We’re not ready for superpersistent AI

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Cite

Silver, N. (2026, September 15). We’re not ready for superpersistent AI. Silver Bulletin. https://www.natesilver.net/p/were-not-ready-for-superpersistent

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

Silver Bulletin · collected 2026-09-15 · by Nate Silver commentary

Quick Summary

The article discusses the concept of superpersistent AI through the metaphor of an immortal snail, which symbolizes relentless pursuit despite obstacles. The author relates this to increasingly intelligent and persistent artificial intelligence tools like ChatGPT, highlighting how these technologies can now perform complex tasks with ease and efficiency, often surpassing human capabilities. The piece focuses on examples where AI completes challenging technical work rapidly without direct oversight, underscoring the growing influence of superintelligent systems in daily operations.
Written by AI on 2026-09-15, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Nate Silver discusses the concept of superpersistent AI through an internet meme called the Immortal Snail introduced by Rooster Teeth podcast in 2014 and later revived on Reddit in 2016. The meme poses a scenario where someone is offered $10 million with the catch that an immortal snail will chase them indefinitely, killing upon contact. Silver uses this to illustrate the lack of clarity around whether advanced AI systems like ChatGPT are genuinely demonstrating superintelligence or merely processing vast amounts of data effectively. He questions parameters such as the snail’s movement capabilities and strategic thinking ability, highlighting how insufficient details make it impossible to assess risks accurately. This mirrors uncertainties about AI's true potential versus its current computational power and human-assisted learning processes.

Written for “Super Persistent AI Concerns” on 2026-11-01, grounded in this article and the 0 other(s) covering the same event.

Story

📰 Super Persistent AI Concerns
Technology · 1 article(s) covering the same event.

Compared with similar articles

This article reads unscored and hedges 10% of its claims. Each row says how that neighbour differs.
ABC News (US)
⚖️ Leans left Hedges 1 of 2 claims Outlet record 70/100
“The articles discuss different topics: one about AI warnings and the other a meme discussion.”
NPR
⚖️ Leans left Hedges 12 of 79 claims Outlet record 60/100
“The articles discuss different topics related to AI concerns but do not describe the same specific incident.”
Semafor
Hedges 5 of 32 claims Outlet record 60/100
“The articles discuss different topics related to AI concerns, with Article A focusing on a call for independent reviewers in AI labs and Article B referencing an internet meme about superpersistent AI.”
NBC News
Hedges 5 of 24 claims Outlet record 60/100
“Article A discusses a public agreement by AI CEOs to slow AI development, while Article B refers to an internet meme and a podcast discussion about it.”
September 13, 2026 Different event
Letters from an American
⚖️ Leans left Hedges 10 of 65 claims
“The articles describe different topics: Article A discusses Dario Amodei's essay on AI safety, while Article B introduces a meme about an immortal snail.”
NBC News
⚖️ Leans left Hedges 10 of 37 claims Outlet record 60/100
“The articles discuss different topics and do not refer to the same specific incident or time.”
The Straits Times
⚖️ Leans left Hedges 17 of 70 claims Outlet record 66/100
“The articles discuss different aspects of AI concerns and do not describe the same specific incident.”
South China Morning Post
Hedges 0 of 3 claims Outlet record 64/100
“The articles discuss different topics and do not describe the same specific incident or occurrence.”
Noahpinion
⚖️ Leans left Hedges 7 of 144 claims
“The articles discuss different topics related to AI but do not describe the same specific incident or occurrence.”
The Straits Times
Hedges 3 of 12 claims Outlet record 66/100
“The articles discuss different topics related to AI but do not describe the same specific incident.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
227
sentences that state something as happening or true
Uncertain
10%
23 of 227 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
not measured
these signals count newsroom corrections; Commentary has none to count
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-15 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Silver Bulletin · 54 article(s) · 0 correction(s) detected
No corrections detected for this publisher. That may mean careful reporting, or simply that nothing has been checked.

Who wrote this

Nate Silver
36 article(s) here · 1 carrying a prediction
🔮 I think you’d agree that it would be pretty weird for a fox to be friends with a dolphin?
2026-10-31 · assertive framing · SBSQ #32: SuperMegaJumboDeluxe Edition
🔮 We’ll try to space things out, but it’s possible that dishes will pile up and there will be some dry spells, or that you’ll get more than one newsletter or more than one FLIPR update in a day.
2026-10-30 · assertive framing · The cognitive dissonance election
🔮 For example, if Democrats have a good night next Tuesday and Peggy Flanagan easily wins in Minnesota, our newsletter from earlier this month that seriously contemplated Michele Tafoya’s chances might be one of those.
🔮 But I’m feeling a little meta-d out this weekend — maybe it was seeing You Can See Everything on Friday.1
2026-10-25 · assertive framing · Let’s talk shop about every Senate race
🔮 Strategic Vision “polls” exhibited statistical patterns — namely, being far more likely to contain some trailing digits (such as 5, 7, 8 and 9) than others, including on obscure questions they probably thought would never be scrutinized — that were canonical signs of forged election results in authoritarian regimes.
2026-10-22 · assertive framing · Fake polls are a real problem
🔮 But leave that philosophical question aside for now — because after a long week of travel,1 I could use a simpler Model Talk.
2026-10-17 · assertive framing · The good, bad and ugly outcomes in the Senate
🔮 Below, you’ll find our forecast for each 2026 Senate race, along with how our numbers have changed over time and which states are likeliest to decide control of the chamber.
2026-10-15 · assertive framing · FLIPR 2026 Senate forecast
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2026-10-09 · assertive framing · Could Minnesota spoil the blue wave?
🔮 It’s not unreasonable to approach election polls from a position of mild — maybe even more-than-mild — skepticism.
2026-10-03 · assertive framing · What if the polls are wrong again?
🔮 That definitely will not happen before the midterms.
2026-10-01 · assertive framing · SBSQ reboot thread
Also by Nate Silver
SBSQ #32: SuperMegaJumboDeluxe Edition
2026-10-31 · Silver Bulletin
The cognitive dissonance election
2026-10-30 · Silver Bulletin
Let’s talk shop about every Senate race
2026-10-25 · Silver Bulletin
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 36 articles by Nate Silver →

Topics

Alaska ChatGPT Google Maps Hawaii NFL

Subjects

NFL ORG · 3× Alaska GPE · 2× ChatGPT ORG · 2× Silver Bulletin ORG · 2× COOPER ORG · 1× Eli PERSON · 1× Google Maps ORG · 1× Hawaii GPE · 1× Nate PERSON · 1× Reddit ORG · 1×

Narrative

Maybe AIs can solve Millennium Prize math problems, but it’s not clear to what extent they’re applying genius-level superintelligence as opposed to trial and error on massive compute budgets — or to what extent they’re receiving assistance or even cribbing answers from human experts.14 Then again, this is intrinsic to the nature of machine learning.
framing: assertive · carried by 1 article(s) · first seen 2026-09-15
🔮 A snail will spend the rest of eternity trying to track you down.
2026-09-15 · Silver Bulletin
We’re not ready for superpersistent AI · assertive framing

Claims (227 extracted, 23 hedged)

Have you ever heard about the Immortal Snail? asserted
you → hear → Snail
It’s an intermittently popular internet meme that goes something like this: You’re offered 10 million dollars. asserted
You → ’ → dollars
What’s the catch? asserted
What → ’ → ?
A snail will spend the rest of eternity trying to track you down. asserted
snail → spend → you
That’s its only goal in life. asserted
That → ’ → life
If it touches you, it kills you. asserted
it → touch → you
But otherwise, it just moves as slowly as a regular snail. asserted
it → move → snail
So, do you take the deal? asserted
you → take → deal
“This is the dumbest hypothetical question ever,” said one of the co-hosts of the Rooster Teeth podcast, which introduced the meme in 2014. asserted
which → say → 2014
It’s dumb because there’s nowhere near enough information to answer the question. asserted
It → ’ → question
For instance, can the snail swim? asserted
snail → swim → instance
(Otherwise, you could just move to Hawaii.) uncertain
you → move → Hawaii
Does it move monotonically toward your current location, taking the shortest route as recommended by Google Maps: Snail Edition? asserted
it → move → Edition
Or can it engage in some degree of strategic planning? asserted
it → engage → planning
Can you capture it in a jar? asserted
you → capture → jar
Apart from immortality, what other special powers does it have? asserted
it → have → powers
The various authors of Immortal Snail memes don’t necessarily agree on these parameters. asserted
authors → agree → parameters
But a Reddit post that reintroduced the Immortal Snail in 2016 described the snail as “super intelligent.”1 asserted
that → reintroduce → snail
This seems like a rather important detail. asserted
This → seem → detail
What every version of the meme agrees upon is that while the snail is slow, it’s also what you might call “superpersistent”. uncertain
you → agree → what
It can’t die; it won’t be deterred. asserted
it → die → ?
I’d still happily take my chances with the infernal thing if it just stupidly crawls along at snail speed — about 0.03 miles per hour — toward your current location. asserted
it → take → location
But what about a superintelligent, superpersistent snail that can anticipate your routine — Nate often has poker night on Mondays — evade detection, and coordinate with other snails that might act as decoys? uncertain
that → anticipate → decoys
I’d have to plan my whole life around that thing. asserted
I → have → thing
You can probably see where I’m going with this. asserted
I → see → this
AI is getting much smarter — and much more persistent There are still times when AI tools can be frustrating. asserted
tools → get → ?
But there are more and more days when it feels like we’re living in the singularity. asserted
we → be → singularity
I had a lot on my plate. asserted
I → have → plate
Our midterms model needed another patch because of continued weirdness in Alaska. asserted
model → need → Alaska
And our NFL model wasn’t quite ready yet, with the season only eight days away from starting. asserted
model → start → season
But I handled the Alaska issue by recoding FLIPR by speaking to ChatGPT on my phone while getting out of the subway, and sent the new version of the model to Eli a few minutes later. asserted
I → handle → Eli
Then while at the gym, I had ChatGPT rewrite the code our NFL model uses to apply the league’s complex tiebreaking procedures. asserted
model → have → procedures
This task is almost ideally suited for LLMs — purely algorithmic, no judgment involved. asserted
judgment → suit → LLMs
Still, what took me two painful days last year, ChatGPT solved in about 15 minutes. asserted
ChatGPT → take → minutes
All of this without my opening a laptop or touching a keyboard. asserted
my → open → keyboard
These sorts of minor miracles are happening more and more often. asserted
sorts → happen → miracles
I’ve put in hundreds of hours since March working on a series of statistical models for Silver Bulletin: first, COOPER (NCAA basketball), then asserted
I → put → Bulletin
That all of this took so much of my time might not sound like the best advertisement for AI. uncertain
took → take → AI
Don’t get me wrong: we’re probably still a ways away from when a one-shot prompt on Claude or ChatGPT will be able to build a complex Silver Bulletin-type model on its own. asserted
prompt → get → own
Indeed, “vibecoding” feels like a misnomer in this context. asserted
vibecoding → feel → context
…and 187 more, not listed.
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