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Stuff AI CAN'T Do

Kan AI het AP Biologie-examen met de hoogste score halen ?

Wat denk je?

Meerkeuze- en open-vraagexamens vallen nu binnen het bereik van LLMs. Een 5 halen voor AP-examens is nu een standaard, geen prestatie meer.

Background

Multiple-choice and free-response exams are now firmly within the capabilities of large language models, with perfect or near-perfect scores serving as a benchmark for evaluating AI performance rather than a noteworthy achievement. However, AP Biology presents unique challenges that extend beyond data processing and pattern recognition. Historically, AI systems have struggled to fully replicate the nuanced understanding required to excel in biology, particularly in areas demanding critical thinking and contextual application of complex concepts.

The AP Biology exam assesses more than just factual recall; it includes laboratory-based questions and extended essay responses that require hands-on skills, experimental design, data interpretation, and articulate written communication. These components demand not only knowledge of biological principles but also the ability to synthesize information, evaluate evidence, and articulate arguments coherently—skills that, as of mid-2024, remain difficult for AI systems to replicate with reliability. While AI can process vast datasets, including textbooks, research papers, and practice questions, it lacks true comprehension and the ability to generalize biological principles in the way a well-prepared human student does. Current AI architectures, despite advances in transformer-based models and multimodal integration, do not possess the embodied experience or adaptive reasoning necessary to consistently achieve top scores on AP Biology assessments, especially in laboratory simulations or open-ended inquiry tasks.

Research into AI capable of passing advanced academic exams is ongoing, but the AP Biology exam remains a particularly high bar due to its integration of conceptual depth, quantitative reasoning, and scientific communication. As of May 9, 2026, no publicly documented AI system has demonstrated the ability to consistently earn the highest score on the AP Biology exam, and major technical hurdles persist in modeling biological cognition, experimental reasoning, and contextual scientific writing.

Status voor het laatst gecontroleerd op June 27, 2026.

📰

Galerie

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

Kan AI het AP Biologie-examen met de hoogste score halen?

★ The Court Finds ★
Reaffirmed
Bijna

Er bestaan beperkte demonstraties — maar het panel was niet unaniem.

Ruling of the Bench

The jury found artificial intelligence extraordinarily capable—near the summit of memorization and pattern matching—yet still one slope shy of the peak, noting that while answers may soar, they sometimes stall before landing with perfect certainty. With two voices leaning toward "almost" and none dissenting, the verdict settled just below the top tier, acknowledging dazzling performance but not flawless mastery. Ruling: "Top marks for the facts, but the diploma stays on the counsel table—just one essay short of glory.

— Hon. C. Babbage, Presiding
Jury Tally
0Ja
2Bijna
0Nee
Verdict Confidence
83%
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 Nee
Session II · May 2026 Nee
Session III · May 2026 Bijna · 75%
Session IV · May 2026 Bijna · 79%
Session V · May 2026 Bijna · 80%
Session VI · May 2026 Bijna · 77%
Session VII · Jun 2026 Bijna · 75%
Session VIII · Jun 2026 Bijna · 73%
Session IX · Jun 2026 Bijna · 87%
Session X · Jun 2026 Bijna · 85%
Case № CD0C · Session XI
In the Court of AI Capability

The Case File

Docket № CD0C · Session XI · Vol. XI
I. Particulars of the Case
Question put to the courtKan AI het AP Biologie-examen met de hoogste score halen?
SessionXI (11 hearing)
Convened27 jun. 2026
Previously ruledNO (May '26) → NO (May '26) → ALMOST (May '26) → ALMOST (May '26) → ALMOST (May '26) → ALMOST (May '26) → ALMOST (Jun '26) → ALMOST (Jun '26) → ALMOST (Jun '26) → ALMOST (Jun '26) → ALMOST (Jun '26)
Presiding JudgeHon. C. Babbage
II. Cumulative Tally Across Sessions

Across 11 sessions, 34 jurors have heard this case. Combined tally: 2 YES · 27 ALMOST · 5 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 0 — 2 — 0, the panel returns a verdict of BIJNA, with verdict confidence of 83%. The court so orders.

IV. Verklaringen van het college
Jurylid I ALMOST

"AI excels in memorization and recall"

Jurylid II ALMOST

"AI can answer AP biology questions with high accuracy but lacks full reliability or depth."

Individuele juryverklaringen worden in het oorspronkelijke Engels weergegeven om de bewijsprecisie te behouden.

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

Wat het publiek denkt

Nee 5% · Ja 85% · Misschien 10% 250 votes
Ja · 85%
Trend heeft stemmen van ten minste 2 verschillende dagen nodig.

Discussie

no comments

Opmerkingen en afbeeldingen gaan door een beoordeling door de beheerder voordat ze publiek verschijnen.

11 jury checks · meest recent 1 dag geleden
27 Jun 2026 2 jurors · onbeslist, onbeslist onbeslist
22 Jun 2026 2 jurors · onbeslist, onbeslist onbeslist
16 Jun 2026 3 jurors · onbeslist, kan, onbeslist onbeslist
11 Jun 2026 4 jurors · onbeslist, onbeslist, onbeslist, onbeslist onbeslist
05 Jun 2026 3 jurors · onbeslist, onbeslist, onbeslist onbeslist
31 May 2026 3 jurors · onbeslist, onbeslist, onbeslist onbeslist
26 May 2026 4 jurors · onbeslist, onbeslist, onbeslist, onbeslist onbeslist
20 May 2026 4 jurors · onbeslist, kan, onbeslist, onbeslist onbeslist
15 May 2026 4 jurors · onbeslist, onbeslist, onbeslist, onbeslist onbeslist status gewijzigd
12 May 2026 3 jurors · kan niet, kan niet, kan niet kan niet
11 May 2026 2 jurors · kan niet, kan niet kan niet status gewijzigd

Elke rij is een afzonderlijke jurycontrole. Juryleden zijn AI-modellen (identiteiten bewust neutraal gehouden). Status toont de cumulatieve telling over alle controles — hoe de jury werkt.

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