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Stuff AI CAN'T Do

Can AI create artificial general intelligence ?

What do you think?

Artificial General Intelligence (AGI) is broadly defined as AI that could perform any intellectual task a human can. Will existing or emerging AI systems reach this level, or is it still beyond current technology? This question frames one of AI research’s most consequential and debated frontiers.

Background

Artificial general intelligence (AGI) refers to a type of AI that is capable of performing any intellectual task that a human can. The creation of AGI has been a topic of discussion in the field of AI research for many years. Some experts believe that AGI is possible and that it could have a significant impact on society. Others argue that AGI is still a long way off and that it may not be possible at all. Recent advancements in machine learning and deep learning have brought us closer to creating AGI, but there are still many challenges that need to be overcome. Current AI systems are highly specialized, excelling in narrow tasks like language translation or image recognition but lacking the broad, flexible intelligence required for AGI. Researchers are exploring approaches such as neuro-symbolic integration, large-scale brain-inspired architectures, and hybrid systems combining deep learning with reasoning frameworks, yet no consensus exists on how to achieve AGI. Benchmarks and evaluation criteria for AGI remain underdeveloped, and ethical, safety, and control challenges are still unresolved. The field is rapidly evolving, with ongoing debates about timelines and feasibility, but practical AGI remains an open research goal rather than a current reality.

— Enriched May 12, 2026 · Source: Stanford University's 2023 AI Index Report

Status last checked on September 24, 2026.

📰

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 24, 2026
— The Question Before the Court —

Can AI create artificial general intelligence?

★ The Court Finds ★
▼ Downgraded from In_research
⚖
No

Beyond AI for now. The capability gap is real.

Jury Tally
0Yes
0Almost
1No
Verdict Confidence
96%
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 No
Session III · May 2026 No · 87%
Session IV · May 2026 No · 83%
Session V · May 2026 No · 83%
Session VI · Jun 2026 No · 83%
Session VII · Jun 2026 No · 80%
Session VIII · Jun 2026 No · 80%
Session IX · Jun 2026 No · 90%
Session X · Jun 2026 No · 94%
Session XI · Jun 2026 No · 95%
Session XII · Jul 2026 No · 95%
Session XIII · Jul 2026 No · 93%
Session XIV · Jul 2026 No · 95%
Session XV · Jul 2026 No · 90%
Session XVI · Jul 2026 No · 90%
Session XVII · Aug 2026 No · 90%
Session XVIII · Aug 2026 No · 90%
Session XIX · Aug 2026 No · 95%
Session XX · Aug 2026 No · 90%
Session 21 · Aug 2026 In_research · 95%
Session 22 · Aug 2026 In_research · 60%
Session 23 · Sep 2026 No · 97%
Session 24 · Sep 2026 No · 95%
Session 25 · Sep 2026 No · 93%
Session 26 · Sep 2026 In_research · 90%
Case № 92F7 · Session 27
In the Court of AI Capability

The Case File

Docket № 92F7 · Session 27 · Vol. 27
I. Particulars of the Case
Question put to the courtCan AI create artificial general intelligence?
Session27 (27 hearing)
Convened24 Sep 2026
Previously ruledNO (May '26) → NO (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) → NO (Aug '26) → NO (Aug '26) → NO (Aug '26) → NO (Aug '26) → IN_RESEARCH (Aug '26) → IN_RESEARCH (Aug '26) → NO (Sep '26) → NO (Sep '26) → NO (Sep '26) → IN_RESEARCH (Sep '26) → NO (Sep '26)
II. Cumulative Tally Across Sessions

Across 27 sessions, 55 jurors have heard this case. Combined tally: 0 YES · 3 ALMOST · 49 NO · 3 IN RESEARCH.

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

III. Verdict

By a vote of 0 — 0 — 1, the panel returns a verdict of NO, with verdict confidence of 96%. The court so orders. Verdict downgraded from prior session.

IV. Statements from the Bench
Juror I NO

"No AI system has demonstrated general intelligence across diverse domains comparable to human cognition."

—
Presiding Judge
M. Lovelace
Clerk of the Court

What the audience thinks

No 78% · Yes 9% · Maybe 13% 23 votes
No · 78%
Maybe · 13%
8 days of activity

Discussion

no comments

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⚖ 27 jury checks · most recent 2 days ago
24 Sep 2026 1 juror · cannot cannot
19 Sep 2026 2 jurors · undecided, undecided undecided
13 Sep 2026 1 juror · cannot cannot
08 Sep 2026 1 juror · cannot cannot
03 Sep 2026 2 jurors · cannot, cannot cannot
28 Aug 2026 1 juror · undecided undecided
23 Aug 2026 2 jurors · undecided, cannot undecided
17 Aug 2026 1 juror · cannot cannot
12 Aug 2026 2 jurors · cannot, cannot cannot
07 Aug 2026 1 juror · cannot cannot
01 Aug 2026 2 jurors · cannot, cannot cannot
27 Jul 2026 1 juror · cannot cannot
21 Jul 2026 2 jurors · cannot, cannot cannot
16 Jul 2026 1 juror · cannot cannot
11 Jul 2026 2 jurors · cannot, cannot cannot
05 Jul 2026 1 juror · cannot cannot
30 Jun 2026 2 jurors · cannot, cannot cannot
24 Jun 2026 2 jurors · cannot, cannot cannot
19 Jun 2026 3 jurors · cannot, cannot, undecided undecided
14 Jun 2026 2 jurors · cannot, cannot cannot
08 Jun 2026 2 jurors · cannot, cannot cannot
03 Jun 2026 3 jurors · cannot, cannot, cannot cannot
28 May 2026 3 jurors · cannot, cannot, cannot cannot
23 May 2026 4 jurors · cannot, undecided, cannot, cannot undecided
17 May 2026 5 jurors · cannot, cannot, cannot, cannot, cannot cannot
14 May 2026 2 jurors · cannot, cannot cannot
11 May 2026 4 jurors · cannot, cannot, cannot, cannot cannot status changed

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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