Lol, I ran that question through Chat-GPT, and it had no problem coming up with the right answer. So, it just depends on the model, I guess.
From: VIPhone <[email protected]> Date: Sunday, November 3, 2024 at 2:23 PM To: VIPhone <[email protected]> Subject: Apple researchers ran an AI test that exposed a fundamental ‘intelligence’ flaw: 9 to 5 Mac 9to5Mac - Friday, November 1, 2024 at 7:42AM Apple researchers ran an AI test that exposed a fundamental ‘intelligence’ flaw Apple just shipped its first Apple Intelligence features and launched new AI-optimized Macs. But for all the AI hype, there are clearly limitations with the technology’s intelligence. And one of those limits was highlighted by Apple’s AI research through a recent experiment. Testing AI’s capabilities Last month, a team of Apple’s researchers published a new paper about a key AI limitation. Michael Hiltzik writes for The Los Angeles Times: See if you can solve this arithmetic problem: Oliver picks 44 kiwis on Friday. Then he picks 58 kiwis on Saturday. On Sunday, he picks double the number of kiwis he did on Friday, but five of them were a bit smaller than average. How many kiwis does Oliver have? If you answered “190,” congratulations: You did as well as the average grade school kid by getting it right. (Friday’s 44 plus Saturday’s 58 plus Sunday’s 44 multiplied by 2, or 88, equals 190.) You also did better than more than 20 state-of-the-art artificial intelligence models tested by an AI research team at Apple. The AI bots, they found, consistently got it wrong. The research paper explains that the best and brightest LLM models saw “catastrophic performance drops” when trying to answer simple math problems that were written out like this. It happened primarily when those problems included irrelevant data, which even schoolchildren quickly learn to disregard. Thus calling into question AI’s current intelligence capabilities. Apple’s AI research finds ‘intelligence’ is not what it appears Due to the variety of tests Apple’s AI research entailed, the paper concludes that current AI models are ‘not capable of genuine logical reasoning.’ Which might be something we’re generally aware of, but it stands as an important cautionary note as more and more trust is given to AI’s ‘intelligence.’ Top comment by â“‹âš½ï¸ ðŸŒž Liked by 5 people Grady Booch, father UML, has been saying this for years. LLMs aren't intelligent and never will be, though they may get large and complex enough to simulate it. The problem really isn't the amount of data you feed it, it's the foundational architecture. LLMs are based on probability, not logic and understanding. View all comments AI optimists might assume the problem is an easy fix, but Apple’s team disagreed. “Can scaling data, models, or compute fundementaly solve this? We don’t think so!” Ultimately, Apple’s paper is not meant to dampen enthusiasm over AI’s capabilities, but rather provide a measure of common sense. AI can perform some tasks as though it’s extremely intelligent, but in many ways that ‘intelligence’ isn’t what it might appear. What do you make of Apple’s AI findings? Let us know in the comments. Original Article at: https://9to5mac.com/2024/11/01/apple-researchers-ran-an-ai-test-that-exposed-a-fundamental-intelligence-flaw/ -- The following information is important for all members of the V iPhone list. If you have any questions or concerns about the running of this list, or if you feel that a member's post is inappropriate, please contact the owners or moderators directly rather than posting on the list itself. Your V iPhone list moderator is Mark Taylor. Mark can be reached at: [email protected]. 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