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Stuff AI CAN'T Do

Can AI develop a new scientific theory that explains a previously unexplained phenomenon ?

What do you think?

Exploring the frontiers of scientific understanding often hinges on our ability to craft new theories that unify unexplained observations. While AI has transformed data analysis, the creative leap of formulating entirely new theories remains an open question worth examining.

Background

Scientific discovery is a complex process that requires a deep understanding of the natural world and the ability to think creatively. AI systems are not currently capable of developing new scientific theories without significant human guidance and oversight. They can analyze large amounts of data, identify patterns, and make predictions, but lack the creativity and deep conceptual understanding required for theory formation. AI can assist by providing insights and suggestions, yet human scientists must interpret results, identify biases, and ultimately formulate the theories themselves. The state of the art in AI-assisted discovery involves using machine learning to augment researchers, but the development of new theories still relies on human intuition and expertise. Enriched May 9, 2026; Status checked May 11, 2026 · Source: Science Magazine

Status last checked on September 25, 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 2026Jun 2026Jul 2026Jul 2026Jul 2026Jul 2026Jul 2026Aug 2026Aug 2026Aug 2026Aug 2026Aug 2026Aug 2026Sep 2026Sep 2026Sep 2026Sep 2026Sep 2026
Sitting at the Bench Filed · Sep 25, 2026
— The Question Before the Court —

Can AI develop a new scientific theory that explains a previously unexplained phenomenon?

★ The Court Finds ★
▲ Upgraded from No
⚖
In Research

The jury could not deliver a verdict on the evidence presented.

Jury Tally
1Yes
0Almost
1No
Verdict Confidence
88%
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 No
Session II · May 2026 In_research · 80%
Session III · May 2026 No · 80%
Session IV · May 2026 No · 81%
Session V · May 2026 No · 77%
Session VI · Jun 2026 No · 80%
Session VII · Jun 2026 No · 80%
Session VIII · Jun 2026 No · 80%
Session IX · Jun 2026 No · 86%
Session X · Jun 2026 No · 85%
Session XI · Jun 2026 No · 90%
Session XII · Jul 2026 No · 88%
Session XIII · Jul 2026 No · 95%
Session XIV · Jul 2026 No · 98%
Session XV · Jul 2026 No · 80%
Session XVI · Jul 2026 No · 80%
Session XVII · Aug 2026 In_research · 80%
Session XVIII · Aug 2026 No · 90%
Session XIX · Aug 2026 No · 98%
Session XX · Aug 2026 No · 98%
Session 21 · Aug 2026 No · 95%
Session 22 · Aug 2026 Yes · 90%
Session 23 · Sep 2026 No · 95%
Session 24 · Sep 2026 No · 92%
Session 25 · Sep 2026 No · 92%
Session 26 · Sep 2026 No · 92%
Case № 4181 · Session 27
In the Court of AI Capability

The Case File

Docket № 4181 · Session 27 · Vol. 27
I. Particulars of the Case
Question put to the courtCan AI develop a new scientific theory that explains a previously unexplained phenomenon?
Session27 (27 hearing)
Convened25 Sep 2026
Previously ruledNO (May '26) → IN_RESEARCH (May '26) → NO (May '26) → NO (May '26) → NO (May '26) → NO (Jun '26) → NO (Jun '26) → NO (Jun '26) → NO (Jun '26) → NO (Jun '26) → NO (Jun '26) → NO (Jul '26) → NO (Jul '26) → NO (Jul '26) → NO (Jul '26) → NO (Jul '26) → IN_RESEARCH (Aug '26) → NO (Aug '26) → NO (Aug '26) → NO (Aug '26) → NO (Aug '26) → YES (Aug '26) → NO (Sep '26) → NO (Sep '26) → NO (Sep '26) → NO (Sep '26) → IN_RESEARCH (Sep '26)
II. Cumulative Tally Across Sessions

Across 27 sessions, 53 jurors have heard this case. Combined tally: 2 YES · 5 ALMOST · 45 NO · 1 IN RESEARCH.

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

III. Verdict

By a vote of 1 — 0 — 1, the panel returns a verdict of IN RESEARCH, with verdict confidence of 88%. The court so orders. Verdict upgraded from prior session.

IV. Statements from the Bench
Juror I NO

"No AI system has autonomously generated a validated new scientific theory explaining a previously unexplained phenomenon."

Juror II YES

"AI systems can now generate novel hypotheses, analyze data, and even propose testable research plans, effectively contributing to the development of new scientific theories."

—
Presiding Judge
M. Lovelace
Clerk of the Court

What the audience thinks

No 37% · Yes 37% · Maybe 26% 27 votes
No · 37%
Yes · 37%
Maybe · 26%
Trend needs votes from at least 2 different days.

Discussion

no comments

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⚖ 27 jury checks · most recent 2 days ago
25 Sep 2026 2 jurors · cannot, can undecided
19 Sep 2026 1 juror · cannot cannot
14 Sep 2026 1 juror · cannot cannot
09 Sep 2026 1 juror · cannot cannot
03 Sep 2026 1 juror · cannot cannot
29 Aug 2026 1 juror · can can
23 Aug 2026 1 juror · cannot cannot
18 Aug 2026 1 juror · cannot cannot
13 Aug 2026 1 juror · cannot cannot
07 Aug 2026 2 jurors · cannot, cannot cannot
02 Aug 2026 2 jurors · cannot, undecided undecided
27 Jul 2026 2 jurors · cannot, cannot cannot
22 Jul 2026 1 juror · cannot cannot
17 Jul 2026 1 juror · cannot cannot
11 Jul 2026 1 juror · cannot cannot
06 Jul 2026 2 jurors · cannot, cannot cannot
30 Jun 2026 2 jurors · cannot, cannot cannot
25 Jun 2026 2 jurors · cannot, cannot cannot
20 Jun 2026 3 jurors · cannot, cannot, cannot cannot
14 Jun 2026 2 jurors · cannot, cannot cannot
09 Jun 2026 4 jurors · cannot, cannot, cannot, undecided undecided
03 Jun 2026 3 jurors · cannot, cannot, cannot cannot
29 May 2026 2 jurors · cannot, cannot cannot status changed
23 May 2026 4 jurors · cannot, undecided, cannot, cannot undecided
18 May 2026 3 jurors · cannot, undecided, cannot undecided
14 May 2026 4 jurors · undecided, cannot, undecided, cannot undecided status changed
12 May 2026 3 jurors · cannot, cannot, cannot cannot

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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