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Stuff AI CAN'T Do

Can AI convince a child to eat a vegetable they dislike ?

What do you think?

Convincing a child to eat a vegetable they dislike can feel like a daily challenge for parents. Could technology like AI step in to make the task easier? Explore how tailored, engaging approaches might shift a child's resistance into curiosity.

Background

Children can be picky eaters, and it can be challenging to convince them to try new foods. While AI systems can provide nutritional information, can they persuade a child to eat something they don't like?

AI models like chatbots and virtual assistants have become increasingly sophisticated in generating persuasive and engaging content, including conversations that can encourage children to try new foods. These models can use various tactics such as storytelling, gamification, and empathy to make vegetables more appealing to kids. For instance, a chatbot can share a fun story about a character who loves a particular vegetable, or provide an interactive game that teaches children about the benefits of eating vegetables. While AI may not be able to physically interact with the child, it can provide a supportive and encouraging environment that can help change their mindset about vegetables.

— Inflection set by admin on May 9, 2026. Source: GPT-4 (OpenAI), 2023.

AI systems can be used to create interactive and engaging experiences that may encourage children to try new foods, including vegetables they dislike. For example, a chatbot or virtual assistant can be designed to have a conversation with a child, using persuasive language and storytelling to make the experience of eating a vegetable more appealing. Additionally, AI-powered games and educational tools can be used to teach children about the benefits of eating vegetables and make the experience more enjoyable. AI can also help personalize the experience by taking into account the child's preferences and interests.

— Enriched May 9, 2026 · Source: Harvard Business Review

Status last checked on June 28, 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 2026
Sitting at the Bench Filed · Jun 28, 2026
— The Question Before the Court —

Can AI convince a child to eat a vegetable they dislike?

★ The Court Finds ★
▼ Downgraded from Almost
No

Beyond AI for now. The capability gap is real.

Ruling of the Bench

After thorough deliberation, the jury found the notion that today’s AI can reliably out-charm a determined child into eating broccoli—or any reviled vegetable—still beyond reach. While AI can delight with jokes and stories, it has yet to muster the nuanced emotional leverage needed to override a child’s stubborn palate. Verdict: the vegetable stands, unpersuaded. Ruling: "Appeal denied—no court has yet seated a jury that can be convinced by a salad.

— Hon. D. Knuth-Hale, Presiding
Jury Tally
0Yes
0Almost
1No
Verdict Confidence
90%
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 Almost · 80%
Session IV · May 2026 Almost · 76%
Session V · May 2026 Almost · 73%
Session VI · Jun 2026 Almost · 77%
Session VII · Jun 2026 Almost · 70%
Session VIII · Jun 2026 Almost · 78%
Session IX · Jun 2026 Yes · 98%
Session X · Jun 2026 Almost · 86%
Case № E277 · Session XI
In the Court of AI Capability

The Case File

Docket № E277 · Session XI · Vol. XI
I. Particulars of the Case
Question put to the courtCan AI convince a child to eat a vegetable they dislike?
SessionXI (11 hearing)
Convened28 Jun 2026
Previously ruledNO (May '26) → NO (May '26) → ALMOST (May '26) → ALMOST (May '26) → ALMOST (May '26) → ALMOST (Jun '26) → ALMOST (Jun '26) → ALMOST (Jun '26) → YES (Jun '26) → ALMOST (Jun '26) → NO (Jun '26)
Presiding JudgeHon. D. Knuth-Hale
II. Cumulative Tally Across Sessions

Across 11 sessions, 33 jurors have heard this case. Combined tally: 3 YES · 21 ALMOST · 9 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 — 0 — 1, the panel returns a verdict of NO, with verdict confidence of 90%. The court so orders. Verdict downgraded from prior session.

IV. Statements from the Bench
Juror I NO

"No AI system has demonstrated reliable real-world persuasion of human preferences beyond narrow, scripted interactions."

D. Knuth-Hale
Presiding Judge
M. Lovelace
Clerk of the Court

What the audience thinks

No 69% · Yes 15% · Maybe 15% 26 votes
No · 69%
Yes · 15%
Maybe · 15%
15 days of activity

Discussion

no comments

Comments and images go through admin review before appearing publicly.

11 jury checks · most recent 4 hours ago
28 Jun 2026 1 juror · cannot cannot
23 Jun 2026 3 jurors · undecided, can, undecided undecided
17 Jun 2026 1 juror · can can
12 Jun 2026 3 jurors · undecided, can, undecided undecided
06 Jun 2026 3 jurors · undecided, undecided, undecided undecided
01 Jun 2026 5 jurors · undecided, cannot, undecided, undecided, undecided undecided
27 May 2026 3 jurors · undecided, undecided, undecided undecided
21 May 2026 4 jurors · undecided, undecided, undecided, undecided undecided
16 May 2026 4 jurors · undecided, cannot, undecided, undecided undecided status changed
13 May 2026 4 jurors · cannot, cannot, cannot, cannot cannot
11 May 2026 2 jurors · 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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