Stuff AI CAN'T Do

¿Puede la IA generar resúmenes académicos plausibles en cualquier campo ?

¿Qué opinas?

Esto creó una mini-crisis en las revistas, con muchas exigiendo declaraciones de divulgación de IA tras una oleada de artículos escritos por GPT que se colaron.

Background

AI systems have demonstrated the ability to generate plausible academic abstracts in various fields, including science, technology, engineering, and mathematics, as well as humanities and social sciences. These systems typically rely on large datasets of existing abstracts and use natural language processing techniques to learn patterns and structures of academic writing. While the generated abstracts may not always be coherent or meaningful, they can often mimic the style and tone of real abstracts, making them difficult to distinguish from human-written ones. The quality and accuracy of generated abstracts continue to improve as AI models become more advanced and trained on larger datasets. This has created a mini-crisis in journals, with many requiring AI-disclosure statements after a wave of GPT-written papers slipped through (arXiv, May 9, 2026).

Estado verificado por última vez en May 15, 2026.

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Galería

In the Court of AI Capability
Summary of Findings
Verdict over time
May 2026May 2026May 2026
Sitting at the Bench Filed · may. 15, 2026
— The Question Before the Court —

¿Puede la IA generar resúmenes académicos plausibles en cualquier campo?

★ The Court Finds ★
Reaffirmed

El jurado encontró una respuesta claramente afirmativa.

Ruling of the Bench

After careful deliberation, the jury found unanimously that large language models can generate credible academic abstracts across disciplines, their coherence and specificity no longer raising doubt. Where earlier iterations wobbled on jargon, today’s models meet the threshold of plausibility so consistently that even skeptical peers now cite them in drafts. Ruling: “A passing grade in mimicry counts as genius at scale.”

— Hon. M. Lovelace, Presiding
Jury Tally
3
0Casi
0No
Verdict Confidence
84%
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
Session II · May 2026
Case № 1E7C · Session III
In the Court of AI Capability

The Case File

Docket № 1E7C · Session III · Vol. III
I. Particulars of the Case
Question put to the court¿Puede la IA generar resúmenes académicos plausibles en cualquier campo?
SessionIII (3 hearing)
Convened15 may. 2026
Previously ruledYES (May '26) → YES (May '26) → YES (May '26)
Presiding JudgeHon. M. Lovelace
II. Cumulative Tally Across Sessions

Across 3 sessions, 8 jurors have heard this case. Combined tally: 8 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 , with verdict confidence of 84%. The court so orders.

IV. Declaraciones del tribunal
Jurado I

"LLMs routinely generate coherent, field-specific plausible abstracts across disciplines."

Jurado II

"Large language models like GPT-4 and specialized academic models can generate coherent, plausible abstracts across diverse fields."

Jurado III

"Language models can generate coherent text 2021-06"

Las declaraciones individuales de los jurados se muestran en su inglés original para preservar la precisión probatoria.

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

Lo que el público piensa

No 7% · Sí 90% · Quizás 3% 152 votes
Sí · 90%
La tendencia necesita votos de al menos 2 días distintos.

Discusión

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3 jury checks · más reciente hace 49 minutos
15 May 2026 3 jurors · puede, puede, puede puede
12 May 2026 3 jurors · puede, puede, puede puede
11 May 2026 2 jurors · puede, puede puede

Cada fila es una comprobación de jurado independiente. Los jurados son modelos de IA (identidades mantenidas neutras a propósito). El estado refleja el recuento acumulado en todas las comprobaciones — cómo funciona el jurado.

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