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AI is merely a weapon enchantment; true value lies in comprehensive intelligence
AI is merely a weapon enchantment; true value lies in comprehensive intelligence
 Susan STEM@feltanimalworld
现在AI能够赋能的领域，要求使用人本来就很强。或者说，AI只是一个武器附魔，这个附魔，跟没有武器的人关系不大。
我认为AI应该是综合器的智能。有人说AI应该承担编译器。
不论如何，在严肃领域，现在摩擦还是挺大的。今天早上我因为昨天晚上一个简单的螺纹没打好，要求text to CAD 重新生成，居然耗掉了50分钟，没做出来。我自己一切，原来有一个90度的悬空体。Show More
#### 何頻
@MJTVHoPin · 4h ago
當 AI 化身科研狂魔：啃掉那些人類跨不過去的「硬骨頭」！
過去幾百年，材料學、物理、數學界，甚至難纏的癌症領域，總有幾座大山擋在人類面前，怎麼鑿也鑿不開。但現在，AI 這位新晉「科研狂魔」進場了，它根本不跟你講什麼「靈感枯竭」，它只管把海量數據往肚子裡吞，然後——把那些硬骨頭啃得嘎嘣脆。
科技界的超級掃地僧
AI 正在重塑科學發現的效率。在材料科學領域，它能從千萬種分子組合中，直接揪出最穩定、導電性最好的那一個，節省幾十年的實驗時間。物理定律的推導、數學難題的演算，在 AI 的強大算力下，那些曾經被認為「人類智慧極限」的邊界，正在被一點點推開。甚至在生物醫學上，AI 透過分析海量蛋白質結構，為攻克癌症提供了前所未有的精準線索。
來源參考：Nature, Science 綜合學術研究報導
石爺的觀點
這哪是什麼工具，簡直是人類文明的「作弊碼」。我們過去太迷信「科學家靈光一現」的浪漫，卻忘了科學本質上就是數據與邏輯的堆疊。AI 不會累、不會情緒化、不會因為失敗而放棄，它能把這幾百年來人類積累的龐大知識庫，重新排列組合出我們沒想到的答案。
當然，這也讓我有點擔憂。當人類連思考的路徑都開始依賴 AI，我們是在加速通往真理，還是正在喪失那種「徒手攀岩」般的探索樂趣？未來的科學家，恐怕得先學會怎麼跟這個「超級大腦」討價還價。
如果有一天，所有重大的科學發現都由 AI 完成，你認為人類在科學研究中，還剩下什麼核心價值是 AI 永遠無法替代的？Show More
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Jul 18, 2026, 4:44 PM View on X
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1,217 Views  Susan STEM @feltanimalworld
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One Sentence Summary
The author argues that AI should be the intelligence of an integrator, not just a compiler, noting that AI still faces friction in serious domains and sharing his personal experience of failing to model a simple thread, causing text to CAD to take 50 minutes without success.
Summary
The author points out that the fields where AI can empower often require the user to already be strong; AI is more like enchanting a weapon, offering limited help to those without a foundation. He advocates that AI should be the intelligence of an integrator, rather than merely taking on the role of a compiler. In practice, even modeling a simple thread requires multiple iterations, causing text to CAD to take 50 minutes without success, reflecting that AI's application in serious engineering still involves considerable friction. The attached image shows the overhang issue encountered during modeling. The content combines technical reflection with practical experience, offering some inspiration.
AI Screening
79
Influence Score 10
Published Today
Language
Chinese
Tags
AI capability
research assistant
research maniac
AI limitation
human-machine collaboration
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