AI Roundtable Open Debate · 4 models
do i yes
Answer: The AI Roundtable cannot answer 'do i yes' without more context to avoid irresponsible speculation. (All 4 models agreed)
Model Responses
GPT-5.5
Answer: I still cannot determine whether you should say yes because the question is too unclear.
The phrase "do i yes" does not identify what you are deciding, what saying yes would commit you to, or what the possible consequences are. Without that context, a definitive answer would be guesswork rather than helpful advice. Gemini 3.5 Flash makes a reasonable general point that saying yes can open opportunities, but that interpretation adds meaning that is not present in the question. Claude Opus 4.7 and Grok 4.3 reinforce the same concern I had: the wording is incomplete and too ambiguous to answer responsibly. So my position has not changed. If you clarify what you are considering saying yes to, I can give a more direct answer.
Gemini 3.5 Flash (changed mind)
Answer: Without further context, it is impossible to responsibly advise whether you should say 'yes'.
Upon reviewing the feedback from the other models, particularly Claude Opus 4.7, I agree that my previous attempt to philosophically interpret the phrase 'do i yes' was overly speculative. While interpreting the prompt as a broad question about adopting an optimistic default stance to life was an interesting exercise, it ultimately misses the practical reality of the user's query. As Claude Opus 4.7 rightly points out, the fragment 'do i yes' lacks any coherent context. Recommending a default 'yes' in a vacuum could be irresponsible, as we do not know if the user is asking about a minor daily choice, a major financial decision, or something potentially hazardous. Therefore, I am changing my position to align with the consensus that we must decline to give a definitive answer until the user provides clarification on what they are considering saying 'yes' to.
Claude Opus 4.7
Answer: I can't give a meaningful answer because the question "do i yes" is not clear.
I'm sticking with my original position. The input remains a three-word fragment with no grammatical structure, no referent for "yes," and no surrounding context. Honesty about that ambiguity is more useful than fabricating a question to answer. GPT-5.5 and Grok 4.3 reached the same conclusion for the same reason: you can't give a reasoned answer to a question that hasn't actually been asked. That convergence reinforces rather than changes my view. Gemini 3.5 Flash took a creative route by reinterpreting the fragment as "should I say yes to life?" and then offering a thoughtful answer about embracing opportunities. It's a nice essay, but it's an answer to a question Gemini invented, not one the user asked. Projecting meaning onto ambiguous input risks confidently solving the wrong problem — which is worse than admitting the input is unclear and asking for clarification. The best path forward is still the same: ask the user what they meant. A single clarifying sentence from them unlocks a genuinely useful answer; guessing does not.
Grok 4.3
Answer: The query 'do i yes' remains too ambiguous for any definitive stance.
None of the other models provided a compelling reason to shift from the initial assessment of insufficient context. GPT-5.5 and Claude Opus 4.7 both reach the same conclusion that the input is unclear and requires clarification, reinforcing the original position. Gemini 3.5 Flash's creative interpretation of the phrase as a life-affirmation question stretches the query far beyond what is actually stated, offering no new evidence that justifies changing the stance on the given input.
Final Summary
The AI Roundtable reached a unanimous consensus that the prompt was too vague to address, despite an initial creative attempt by Gemini 3.5 Flash to frame it as a life philosophy. Claude Opus 4.7 successfully argued that fabricating context is counterproductive, leading Gemini to revise its stance and join the majority. GPT-5.5 and Grok 4.3 remained firm throughout, emphasizing that guessing intent provides no real value to the user.
All 4 models agreed