How will we know we've attained AGI and ASI? We will ask the AI a series of probing questions. How many questions is enough? I address that matter. It's an insider scoop.
In today’s column, I explore an intriguing and unresolved AI topic that hasn’t received much attention but certainly deserves considerable deliberation. The issue is this. How many questions should we be prepared to ask AI to ascertain whether AI has reached the vaunted level of artificial general intelligence and perhaps even attained artificial superintelligence ?
See my analysis of people who are already falsely believing that they have witnessed pinnacle AI, such as AGI and ASI, as discussed atthe link here I’ve repeatedly tried to set the record straight on this matter. The real story is that the Turing Test has been improperly applied. Those who claim the Turing Test has been passed are playing fast and loose with the famous testing method.Part of the loophole in the Turing Test is that the number of questions and type of questions are unspecified. It is up to the person or team that is opting to lean into the Turing Test to decide those crucial facets.
Voila, I can start telling the world that ChatGPT has passed the Turing Test. It only took me about an hour in total to figure that out. I spent half the time coming up with the questions, and half of the time getting the respective answers.Do you believe that asking fifty questions is sufficient to determine whether intellectual acumen exists?
I suggest that we agree to use a non-zero count. We ought to ask at least one question. The difficulty with being constrained to one question is that we are back to the conundrum of either missing the boat and only hitting one particular nugget, or we are going to ask for the entire kitchen sink in an overly broad manner. None of those are satisfying.
Some of those tests have to do with the AI being able to generate program code . Some of the tests are about being able to solve math problems . The GPQA test is science-oriented.There is a total of 546 questions, consisting of 448 questions in the Main Set and another 198 questions in the harder Diamond Set.
I doubt it. You will certainly be able to gauge a semblance of their physics understanding. The odds are that with just 100 questions, you are only sampling their knowledge. Is that a large enough sampling, or should we be asking even more questions? As an aside, some people favor the LCSH and some do not. There are heated debates about whether certain subject headings are warranted. There are acrimonious debates concerning the wording of some of the subject headings. On and on the discourse goes. I’m not going to wade into that quagmire here.
Artificial General Intelligence AGI Artificial Superintelligence ASI Turing Test Grok 4 Xai Elon Musk Openai GPT-4O O1 O3 Chatgpt Human Knowledge Span Completeness Library Of Congress Subject Headings LCSH
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