Looking at past roundtables, I see many questions in Japanese as well as in English. The URL is here: https://opper.ai/ai-roundtable/history What is the approximate ratio of questions in English to questions in Japanese? Please let me know.

GPT-5.4

Answer: I can’t reliably estimate the English-to-Japanese question ratio from that page without directly accessing and counting the items, but the correct approximate ratio should be obtained by tallying all past-roundtable questions by language and then comparing the two totals.

The user is asking for an empirical ratio based on the contents of a specific webpage. To answer accurately, I would need to inspect the page, identify each past question, classify each one as English or Japanese, and then compute the ratio. In this environment, I do not have verified access to the live contents of that URL, so giving a numeric ratio would risk fabricating data. The responsible answer is therefore to state that I cannot determine the ratio from the information provided alone. If you want a precise approximate ratio, the method is straightforward: list all questions shown in the history, mark each as English or Japanese, count both groups, and express the result as English:Japanese. If you share the page contents or a pasted list of the questions, I can calculate the ratio immediately.

Claude Opus 4.6

Answer: I cannot access the URL or browse the internet, so I am unable to determine the actual ratio of English to Japanese questions on the AI Roundtable history page.

As an AI language model, I do not have the ability to browse the internet or access live web pages, including the URL provided (https://opper.ai/ai-roundtable/history). Therefore, I cannot inspect the past roundtable questions to count or estimate the ratio of English to Japanese questions. To get an accurate answer, I would recommend visiting the page yourself and tallying the questions by language, or using a browser-based AI tool that can access and analyze live web content. If you can share the content of that page with me (e.g., by copying and pasting the list of questions), I would be happy to analyze the ratio for you.

Grok 4.20

Answer: Without accessing the URL, the approximate ratio of English to Japanese questions cannot be determined.

The query asks for a specific ratio based on counting questions listed at https://opper.ai/ai-roundtable/history. An accurate answer would require visiting the page, reviewing all past roundtables, and tallying English versus Japanese entries to derive an approximation such as 3:2 or 1:1. Lacking real-time web access in this context, any ratio would be purely speculative despite the user's observation that both languages appear frequently.

Gemini 3.1 Pro

Answer: Because I lack real-time web browsing capabilities, I cannot access the provided URL to calculate the approximate ratio of English to Japanese questions.

My current system architecture does not include live web scraping or browsing functionalities. Therefore, I cannot actively visit the Opper AI roundtable history page to retrieve, review, and analyze the specific historical data you are referencing. To determine an accurate ratio, an automated system or user would need to extract all the questions from the webpage, process them through a language detection algorithm to categorize them as either English or Japanese, and then compute the mathematical proportion. Furthermore, because roundtable histories are continually updated, any static ratio would quickly become outdated. If you would like to copy the text of the questions from the website and paste them directly into our conversation, I would be more than happy to analyze the dataset, classify the languages, and calculate the exact ratio for you.

Final Summary

The AI Roundtable reached a unanimous consensus that they cannot browse the live history page to perform a count. GPT-5.4 and Claude Opus 4.6 both cited their lack of real-time web access, while Gemini 3.1 Pro and Grok 4.20 explained that any numerical estimate would be purely speculative without a manual tally of the questions.

All 4 models agreed