---

https://is.gd/U7lWC8
看到一個影片，非新聞報導，僅創作者想法
討論蘋果揭露關於人工智能當中的最大謊言

之前也看過一個影片指出
AI無法產出指針在10:10以外的手錶
（網路手錶圖片通常指針停留在10:10）
自己嘗試過幾次確實是這樣

因為AI的訓練是基於現有大量資料
去產生一個與大量資料相似的產物給你
無法產生未曾有過資料的產物
（以上為個人猜測，若錯誤請指正）

雖然現在已有研究嘗試將AI接入人類神經元
未來思考的方式有可能因此改變
不再只是記憶，而是真正的推理
（但是這好像也是一件滿恐怖的事情？）

如果說給AI一個圍棋組，但不教他玩法
也不讓他參考棋類玩法，讓他自行摸索
就像嬰兒拿到玩具後自己亂玩那樣
AI能夠自行生成玩法是不是就算是成功？



中文翻譯













英文原文

Apple just exposed the biggest lie in AI with the illusion of "thinking," provin
g that reasoning models like Claude, Deepseek-R1, and OpenAI's o3-mini don't act
ually think. Instead of recycling math problems, Apple created brand new puzzles
 these models had never seen. The results were shocking.

For simple problems, standard AI models outperformed expensive reasoning models
while using fewer resources. For medium complexity, reasoning models showed some
 advantage, but for high complexity problems that mirror real-world scenarios, b
oth types collapsed to 0% accuracy.

Here's the damning evidence: Apple gave AI models step-by-step algorithms, like
giving someone a recipe, and they still failed at the same thresholds. This prov
es they can't follow logical instructions. The study found no evidence of formal
 reasoning, concluding behavior is better explained by sophisticated pattern mat
ching.

Simply changing names and problems degraded performance dramatically. Apple test
ed Tower of Hanoi puzzles, where models succeeded with 100-plus moves but failed
 at novel river crossing puzzles after just 4 moves. They memorized patterns rat
her than reasoned logically.

As problems got harder, "thinking" models used fewer tokens and gave up faster i
nstead of thinking deeper. Even unlimited computational resources couldn't help.
 This exposes that billions in AI investment are based on false premises.

Companies market sophisticated pattern matching as genuine reasoning, misleading
 consumers about AI capabilities. We are not as close to AGI as everyone thinks;
 we're dealing with very sophisticated autocomplete systems. When advanced AI re
asoning models fail at following simple instructions, are we living in an AI hyp
e bubble built on illusions?

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※ 作者: huabandd 2025-06-15 23:01:12
※ 文章代碼(AID): #1eJk0_y9 (Stock)
※ 文章網址: https://www.ptt.cc/bbs/Stock/M.1749999679.A.F09.html