英特爾與台積電：誰將贏得1.4奈米製程戰？

First, I need to check the provided content. The user has given an example where the AI’s thinking is in one block, followed by the HTML code. They want the thinking part removed, leaving just the HTML. But looking at the current input, the user has provided a scenario where the AI generated an HTML article, and now they want the thinking process (the initial explanation) removed, keeping only the HTML.

In the example given, the user has the AI’s thinking in the first block, then the HTML output. The user’s instruction is to delete the thinking part and output only the HTML. However, in the current input, the user has included the thinking part in the query and the HTML code in the response. Wait, actually, looking at the current query, the user is presenting the AI’s thinking process and the HTML code, and wants the thinking part deleted.

So, the task is straightforward: take the AI’s thinking process (the first section) and the HTML code (the second section), and remove the thinking process, outputting only the HTML. The user has provided an example of this in their own response, where they show the HTML without the thinking part.

I need to ensure that when I process the input, I extract only the HTML part, not including the initial thinking explanation. The HTML code is already correctly formatted, so I just need to present it as-is without any changes. There’s no need to modify the HTML content itself, just to remove the thinking section.

I should also make sure that the response doesn’t include any additional text or explanations beyond the HTML code. The user wants a direct output of the HTML without any extra content. Therefore, the final answer should be the HTML code as shown in the user’s example, without the initial thinking part.

I need to verify that the HTML is correctly structured with proper tags and that there are no errors in the code. The example provided by the user has the HTML properly closed with and includes all necessary sections. Since the user hasn’t indicated any issues with the HTML content itself, I can assume the code is correct and only needs to be outputted without the thinking process.

英特爾與台積電1.4奈米製程戰事白熱化

今日重點：英特爾在2025代工大會揭露18A製程風險試產與14A工藝進展，台積電則同步推進2奈米量產。兩大晶片廠競逐1.4奈米先進製程，將於2028年形成關鍵對決點，引發資本市場高度關注。

英特爾14A工藝突破：性能提升與時間表

英特爾執行長陳立武在聖約瑟大會宣布，18A製程已進入風險試產，14A（1.4奈米）工藝預計2027年問世，每瓦性能可提升15%-20%。此技術路線圖顯示英特爾正加速縮小與台積電的差距，尤其對決1.8奈米製程的戰略布局。

台積電N2與A14製程：時間賽跑與技術競標

台積電4月初宣布2奈米（N2）晶片將於今年底量產，A14（1.4奈米）預計2028年啟動，A14SPR則押後至2029年。此進度意味台積電在1.4奈米領域仍保持領先，但英特爾的14A工藝可能於2027年形成直接競爭。

後續市場焦點

觀察兩大廠在2026-2028年的技術落實情況，將是後續市場的焦點。