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Stuff AI CAN'T Do

Can AI write a horoscope or tarot reading ?

What do you think?

Curious what the stars or tarot have in store? Modern AI systems can craft horoscopes or tarot readings on demand, blending astrological tradition with machine-driven creativity. See whether the output resonates—or merely reflects its training data.

Background

AI can generate text based on patterns and associations learned from large datasets, including those related to horoscopes and tarot readings. Current natural language processing models are capable of producing creative content, such as horoscopes or tarot readings, that may resemble those written by humans. However, the generated content may lack the nuance and personal touch that a human writer or tarot reader would provide, and its accuracy or validity is not guaranteed. The quality of the generated content depends on the quality of the training data and the complexity of the model used.

Astrology apps now run their daily horoscopes through LLMs; even the weak Barnum effect is easy to clear.

Status last checked on June 27, 2026.

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Gallery

In the Court of AI Capability
Summary of Findings
Verdict over time
May 2026May 2026May 2026May 2026May 2026Jun 2026Jun 2026Jun 2026Jun 2026Jun 2026
Sitting at the Bench Filed · Jun 27, 2026
— The Question Before the Court —

Can AI write a horoscope or tarot reading?

★ The Court Finds ★
Reaffirmed
Yes

The jury found a clear answer in the affirmative.

Ruling of the Bench

With enthusiastic unanimity, the jury found that writing a horoscope or tarot reading falls well within the demonstrated capabilities of modern generative models, which daily produce fluent, human-like passages on demand. There was no meaningful dispute, only silent nods at how easily today’s AI turns stars into sentences and symbology into counsel. The ruling: Constellations of code now whisper fortunes as sweetly as any oracle.

— Hon. C. Babbage, Presiding
Jury Tally
3Yes
0Almost
0No
Verdict Confidence
92%
The Court of AI Capability is, of course, not a real court.
But the data is real.
The Case File · Stacked History
Session I · May 2026 Yes
Session II · May 2026 Yes · 86%
Session III · May 2026 Yes · 82%
Session IV · May 2026 Yes · 82%
Session V · May 2026 Yes · 79%
Session VI · Jun 2026 Yes · 77%
Session VII · Jun 2026 Yes · 83%
Session VIII · Jun 2026 Yes · 83%
Session IX · Jun 2026 Yes · 94%
Case № D6D9 · Session X
In the Court of AI Capability

The Case File

Docket № D6D9 · Session X · Vol. X
I. Particulars of the Case
Question put to the courtCan AI write a horoscope or tarot reading?
SessionX (10 hearing)
Convened27 Jun 2026
Previously ruledYES (May '26) → YES (May '26) → YES (May '26) → YES (May '26) → YES (May '26) → YES (Jun '26) → YES (Jun '26) → YES (Jun '26) → YES (Jun '26) → YES (Jun '26)
Presiding JudgeHon. C. Babbage
II. Cumulative Tally Across Sessions

Across 10 sessions, 27 jurors have heard this case. Combined tally: 27 YES · 0 ALMOST · 0 NO · 0 IN RESEARCH.

Note: cumulative includes older juror opinions. The current session tally above is the live verdict.

III. Verdict

By a vote of 3 — 0 — 0, the panel returns a verdict of YES, with verdict confidence of 92%. The court so orders.

IV. Statements from the Bench
Juror I YES

"Generative models can create text"

Juror II YES

"Publicly available LLM-based systems generate fluent horoscopes and tarot readings."

Juror III YES

"Generative models can create human-like text"

C. Babbage
Presiding Judge
M. Lovelace
Clerk of the Court

What the audience thinks

No 5% · Yes 71% · Maybe 24% 265 votes
Yes · 71%
Maybe · 24%
Trend needs votes from at least 2 different days.

Discussion

no comments

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10 jury checks · most recent 1 day ago
27 Jun 2026 3 jurors · can, can, can can
21 Jun 2026 2 jurors · can, can can
16 Jun 2026 3 jurors · can, can, can can
10 Jun 2026 3 jurors · can, can, can can
05 Jun 2026 2 jurors · can, can can
31 May 2026 2 jurors · can, can can
25 May 2026 3 jurors · can, can, can can
20 May 2026 3 jurors · can, can, can can
15 May 2026 4 jurors · can, can, can, can can
11 May 2026 2 jurors · can, can can

Each row is a separate jury check. Jurors are AI models (identities kept neutral on purpose). Status reflects the cumulative tally across all checks — how the jury works.

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