OpenAI 獲得新“技能”：ChatGPT 從 Claude 的劇本中學習

OpenAI 的 ChatGPT 將升級“技能”，反映 Claude 量身定制的 AI 功能，向用戶承諾在 AI 領域提供更個性化和更強大的交互。

The Big Apple's tech scene, always buzzing, has its eyes firmly on the latest development from the AI heavyweights. It seems OpenAI, the company that brought ChatGPT to the masses, is taking a leaf right out of rival Anthropic's playbook. Word on the street, or rather, on the X, is that ChatGPT is getting its own version of "Skills," a feature that's already made Claude quite the savvy assistant.

紐約的科技界總是熱鬧非凡，它們密切關注著人工智能巨頭的最新發展。 OpenAI，這家將 ChatGPT 帶給大眾的公司，似乎正在效仿競爭對手 Anthropic 的做法。街上的消息，或者更確切地說，X 上的消息是，ChatGPT 正在推出自己版本的“技能”，這一功能已經使 Claude 成為了相當精明的助手。

ChatGPT's New Bag of Tricks

ChatGPT 的新技巧

For those of us who've been tinkering with AI, we know custom GPTs have been handy. But imagine something even more integrated, more intuitive. That's where "Skills" come in. Claude's "Skills" are essentially super-charged, folder-based instructions that teach the AI specific abilities and workflows. Think of it: a frontend design skill plugin for Claude, making it a virtuoso at understanding your web app's interface while you're busy coding up a storm. Pretty slick, right?

對於我們這些一直在研究 AI 的人來說，我們知道自定義 GPT 非常方便。但想像一下更集成、更直觀的東西。這就是“技能”的用武之地。克勞德的“技能”本質上是超級強大的、基於文件夾的指令，教授人工智能特定的能力和工作流程。想一想：Claude 的前端設計技能插件，使其成為在您忙於編碼時理解 Web 應用程序界面的大師。很光滑，對吧？

Now, ChatGPT is reportedly joining the club. Codenamed "hazelnuts" – because, you know, everything's better with a secret snack name – these new "Skills" are slated to arrive as slash commands. We're talking a dedicated Skills editor and even the ability to convert your existing custom GPTs into these potent new capabilities. While the exact rollout date is still a bit of a mystery, whispers suggest we might see them in action around January 2026. Plenty of time to mentally prepare for an even smarter chatbot.

據報導，現在 ChatGPT 也加入了該俱樂部。代號為“榛子”——因為，你知道，有了秘密零食名稱，一切都會變得更好——這些新的“技能”預計將以斜線命令的形式出現。我們談論的是專用的技能編輯器，甚至是將現有的自定義 GPT 轉換為這些強大的新功能的能力。雖然確切的推出日期仍然有點神秘，但有傳言稱我們可能會在 2026 年 1 月左右看到它們投入使用。有足夠的時間為更智能的聊天機器人做好心理準備。

The Method Behind the Madness

瘋狂背後的方法

Why the sudden move to mimic a competitor? Well, in the cutthroat world of AI, standing still is a recipe for disaster. OpenAI has been raking in the dough, sure – with compute margins hitting a respectable 70% and the ChatGPT mobile app pulling in billions. But even with those impressive numbers, and despite widespread adoption that sees hundreds of millions of users interacting with ChatGPT weekly, there's always the relentless drumbeat of competition. Sam Altman himself reportedly emphasized a "critical situation" internally, urging accelerated improvements as Google and Anthropic nip at their heels.

為什麼突然採取模仿競爭對手的行動？好吧，在人工智能的殘酷世界中，原地踏步只會釀成災難。當然，OpenAI 一直在賺大錢——計算利潤達到了可觀的 70%，ChatGPT 移動應用也帶來了數十億美元的收入。但即使有這些令人印象深刻的數字，儘管ChatGPT 得到了廣泛採用，每周有數億用戶與ChatGPT 進行交互，但競爭始終存在。據報導，薩姆·奧爾特曼本人在內部強調了“危急情況”，敦促加速改進，因為谷歌和 Anthropic 緊隨其後。

This push for "Skills" isn't just about keeping up; it's about deepening the utility. As AI becomes more integrated into our daily lives – from shopping to planning to even health research, as one report suggested – the demand for specialized, context-aware assistance skyrockets. Generic answers won't cut it when you need an AI that truly understands your niche workflow or domain.

對“技能”的推動不僅僅是跟上；而是要跟上。這是為了深化實用性。正如一份報告所指出的，隨著人工智能越來越融入我們的日常生活——從購物到規劃，甚至健康研究——對專業的、情境感知的幫助的需求猛增。當您需要一個真正了解您的利基工作流程或領域的人工智能時，通用答案並不能解決問題。

My take? This is a savvy strategic pivot. By adopting a "Skills" framework, OpenAI is acknowledging that the future of AI isn't just about raw power, but about precision and personalization. It’s about turning a generalist into a specialist, making AI not just a helpful tool, but an indispensable expert tailored to your exact needs. The evidence is clear: when an AI can analyze something as complex as crypto market dynamics (as ChatGPT itself did for Ethereum vs. Solana), you know there's untapped potential for specialized applications. Giving it explicit "Skills" just supercharges that capability.

我的看法是？這是一個精明的戰略支點。通過採用“技能”框架，OpenAI 承認人工智能的未來不僅僅在於原始能力，還在於精度和個性化。它將通才變成專家，使人工智能不僅是一個有用的工具，而且是根據您的具體需求量身定制的不可或缺的專家。證據很明確：當人工智能能夠分析像加密貨幣市場動態這樣複雜的東西時（就像 ChatGPT 本身對以太坊與 Solana 所做的那樣），你就知道專業應用程序有尚未開發的潛力。賦予它明確的“技能”只會增強這種能力。

What's Next for Our Digital Pals?

我們的數字朋友的下一步是什麼？

So, there you have it. ChatGPT is getting "Skills," and it sounds like our digital companions are about to get a whole lot more discerning. Whether you're coding up a storm or just need an AI that truly 'gets' your workflow, these new capabilities promise to make interactions smoother and smarter. It's a bit like giving your trusty old car a souped-up engine and a custom paint job. The future's looking bright, and increasingly skilled, for our AI pals. Just don't ask them to fetch you a pastrami on rye; they're not quite there yet. But hey, a New Yorker can dream!

所以，你就知道了。 ChatGPT 正在獲得“技能”，聽起來我們的數字伴侶即將變得更加敏銳。無論您是在編碼，還是只需要一個真正“掌握”您的工作流程的人工智能，這些新功能都有望使交互變得更加流暢和智能。這有點像給您值得信賴的舊車配備增強型發動機和定製油漆工作。對於我們的人工智能朋友來說，未來看起來是光明的，而且技術也越來越熟練。只是不要讓他們給你拿一份黑麥熏牛肉；他們還沒有完全做到這一點。但是，嘿，紐約人可以夢想！