---
title: 2025-04-18-technology
created: 2025-04-18
updated: 2025-04-18
type: summary
tags: ["newsletter", "technology"]
external: http://go/ui/posts/572/
status: inbox
---

<think>
Alright, I need to create an 8-item bulletin summary in Chinese based on the provided news articles. Let me start by going through each item and identifying duplicates or similar stories.

First, I notice that "TSMC sticks with its revenue forecast..." and the next mention of TSMC about denying talks with Intel are separate. TSMC appears multiple times, so I should ensure they are grouped if they're the same news. Wait, looking at the URLs, the TSMC profit and the TSMC denying Intel talks are separate articles but both about TSMC. Since the user said to merge duplicates or those that occur more than once. Wait, the instruction says if an item occurs more than once, it's more important and should be merged into one. Wait, actually the user says: "if some news occurs more than ONCE, means it's more important! Please merge them into one item."

So I need to check which items are duplicated. Let me list all the titles and count:

Looking through the list:

1. TSMC sticks with revenue forecast (URL 1)
2. Lyft buys FreeNow (URL 2)
3. TSMC denies Intel talks (URL3)
4. 23andMe bankruptcy under investigation (URL4)
5. Brain implant FDA cleared (URL5)
6. Global Payments shares drop (URL6)
7. Google antitrust (URL7)
8. Google second antitrust (URL8)
9. Discord sued (URL9)
10. Nvidia export laws (URL10)
11. Krebs leaves SentinelOne (URL11)

Then the next entries are repeats of 1-11 again. Wait, looking at the provided list, the user pasted the same list twice. So actually, all the duplicates are just duplicates, not different news. Therefore, each unique entry needs to be considered once, and the "occurs more than once" refers to if the same news was mentioned multiple times in the input, which would mean it's important. Since TSMC appears three times? Let me check the list again.

Wait, in the input, each article is listed three times. The user provided the same list three times. So each news item is listed three times. So each unique article is present three times. So the "occurs more than once" is automatically true for all, but the user wants to merge duplicates into one item. Wait, maybe they meant if the same news is mentioned in multiple entries in the input, but in this case, each entry is duplicated, so I should treat each unique entry as one, and the duplicates are just part of the input format. Wait, perhaps the user provided the same list three times by mistake. So I need to first parse the list correctly.

First, let me list all the unique entries:

1. TSMC profit and revenue forecast: URL1
2. Lyft buying FreeNow: URL2
3. TSMC denies Intel talks: URL3
4. 23andMe investigation: URL4
5. FDA approves Precision Neuroscience: URL5
6. Global Payments' deal causing stock drop: URL6
7. Google antitrust ruling (first): URL7
8. Google second antitrust blow (different angle?): URL8
9. Discord sued: URL9
10. Nvidia export statement: URL10
11. Krebs leaving SentinelOne: URL11

But in the input, the Google antitrust has two entries, both the same. The first Google antitrust article has two entries with same URL? Let me check the URLs:

"Judge finds Google holds..." (URL7) and "Google hit with second antitrust blow..." (URL8). Both are separate articles but about the same ruling. So they are two different articles but same event. So according to the instruction, if the same news occurs more than once, merge into one. So those two Google antitrust articles should be merged into one item.

Similarly, the TSMC entries: the first one is about their profit and revenue, and the second is about denying Intel talks. They are separate, so they should be separate items. The TSMC profit article is duplicated three times in the input, but each is the same, so just keep one.

Other duplicates: the Discord, Nvidia, Krebs are also duplicated but as single entries, so each is one item. So total unique items are 11, but need to reduce to 8, selecting the most important ones according to the user's note: "Only select BIG NEWS and HEADLINES base on your knowledge, if some news occurs more than ONCE, means it's more important! Please merge them into one item."

So I have to pick the top 8, merging any duplicates. Let me see which are the most significant.

Looking at the list, the TSMC articles: TSMC profit surge and TSMC denying Intel talks are both significant as TSMC is a major company. Both should be included.

Google's antitrust cases: merging the two articles into one item, since they're both about the same ruling. That's one item instead of two.

Lyft's acquisition is important as it's a significant expansion.

23andMe's bankruptcy investigation.

Brain implant FDA approval is tech innovation.

Global Payments' deal is a big financial move.

Discord's lawsuit, though maybe less critical but it's a notable law issue.

Nvidia's export compliance relates to trade issues with China, which is big.

Krebs leaving SentinelOne due to Trump's EO might be a political/tech issue but maybe less mainstream.

So to pick top 8:

1. TSMC's profit and revenue forecast.

2. TSMC denying Intel talks.

3. Google's antitrust rulings (merged).

4. 23andMe's investigation.

5. Brain implant FDA approval.

6. Global Payments' deal.

7. Discord's lawsuit.

8. Nvidia's export stance.

That would be 8 items. Krebs' departure and Lyft's deal (Lyft is important as an expansion move). Wait, I need to check again. Let me see the count again:

Wait, if I include TSMC (two items, each separate), then maybe the user wants to count each TSMC item as separate, so maybe I need to prioritize which ones.

Alternatively, maybe the two TSMC items are separate but both are big news. Let me see:

Prioritizing:

- TSMC's profit (big because financial results and Trump trade concerns)

- TSMC vs Intel talks (semiconductor partnership is major)

- Google's antitrust (major legal blow)

- Lyft's acquisition (expansion into Europe)

- 23andMe's bankruptcy and data issue (privacy concerns, big)

- Brain implant (tech innovation, FDA approval)

- Global Payments' deal (big merger affecting stock)

- Discord lawsuit (regulatory action)

That's 8 items. The two Google articles can be merged into one line. Krebs leaving might be less critical compared to others. Similarly, Nvidia's export statement is significant because of US-China chip trade issues, so maybe include that instead of Krebs.

Wait, the user's instruction says to pick "BIG NEWS and HEADLINES". Let me list the possible contenders:

1. TSMC profit and revenue forecast (major semiconductor company's performance)

2. TSMC denying talks with Intel (partnership speculation)

3. Google antitrust (two articles, merged)

4. 23andMe's bankruptcy

5. Brain implant (FDA approval, competes with Neuralink)

6. Global Payments' share plunge (big deal)

7. Lyft expansion into Europe (significant market move)

8. Nvidia's compliance with China (trade policy)

That's 8. Alternatively, Discord's lawsuit vs the others. Maybe the Discord one is less critical than the others. Alternatively, the two Google items are a major point, so merging them into one. Also, the two TSMC items are both important, so they stay as separate items. So total 8 would require excluding some.

Alternatively, maybe the two TSMC items are both important, merging the Google ones, and then others:

Total items after merging Google into one, so:

1. TSMC profit and revenue (URL1)

2. TSMC denies Intel talks (URL3)

3. Google antitrust (merged URLs7+8)

4. 23andMe investigation (URL4)

5. Brain implant (URL5)

6. Global Payments deal (URL6)

7. Lyft's acquisition (URL2)

8. Nvidia's China compliance (URL10)

That's 8. The two TSMC items are separate because they're different topics (profit vs partnership). The user wants to merge only if same news occurs more than once. The TSMC profit is mentioned thrice, so maybe it's considered important and must be included. Similarly, the two Google articles are same subject, so merge.

Discord lawsuit (URL9) and Krebs (URL11) might be 9th and 10th, so maybe exclude them. So the final 8 would be the eight I listed above.

Now, I need to write each in Chinese with the URL and a concise description. Also, check for any other duplicates. Wait, the user input lists some URLs twice. For example, the first TSMC article is listed three times, so it's considered important, so include it once but note it's repeated. So in the bullet points, I can just take each once, merging the Google ones.

Now, writing each in the required format. Make sure the titles are translated accurately and the descriptions are concise. Let me proceed with that.
</think>

**科技新闻**  
- [台积电Q1利润超预期，特朗普贸易政策未影响营收预期](https://www.cnbc.com/2025/04/17/tsmc-first-quarter-profit-tops-estimates-rising-60percent-as-trump-trade-policy-threatens-growth-.html)  
因AI芯片需求激增，台积电Q1利润增长60%，并维持全年营收预测。  

- [Lyft斥资2亿美元收购FreeNow，首次进军欧洲市场](https://www.cnbc.com/2025/04/16/lyft-to-buy-taxi-app-free-now-for-200-million-to-expand-into-europe.html)  
Lyft通过收购欧洲叫车平台FreeNow加速欧洲业务扩展，交易将于2025年下半年完成。  

- [台积电否认与英特尔就芯片合资项目谈判](https://www.cnbc.com/2025/04/17/tsmc-denies-its-talking-to-intel-about-chip-making-joint-venture.html)  
台积电辟谣与英特尔就芯片制造合资企业展开实质性讨论。  

- [美国国会调查23andMe破产及其客户数据处理](https://www.cnbc.com/2025/04/17/23andme-bankruptcy-investigation-genetic-data-congress.html)  
能源与商务委员会调查23andMe破产背后是否涉及客户基因数据滥用。  

- [Musk神经科技对手：FDA批准Precision Neuroscience脑植入核心组件](https://www.cnbc.com/2025/04/17/brain-implant-cleared-fda-musk-neuralink-rival-precision-neuroscience.html)  
FDA批准神经科技公司Precision Neuroscience脑植入系统核心组件，直面马斯克Neuralink竞争。  

- [Global Payments收购Worldpay致股价暴跌17%](https://www.cnbc.com/2025/04/17/global-payments-shares-plunge-17percent-on-24-billion-worldpay-deal.html)  
Global Payments宣布240亿美元收购Worldpay后股价重挫，同时出售业务以平衡交易。  

- [法院裁定Google广告技术垄断违法，或面临拆分风险](https://www.cnbc.com/2025/04/17/judge-finds-google-holds-illegal-online-ad-tech-monopolies.html)  
联邦法院认定Google在线广告技术存在非法垄断，或被迫剥离资产或调整业务。  

- [Nvidia称严格遵守出口法规，强调对美中贸易平衡贡献](https://www.cnbc.com/2025/04/16/nvidia-follows-export-laws-to-the-letter-after-china-chip-sales-end.html)  
Nvidia回应AI芯片对华禁令时强调遵守出口法，并称其出口可缓解美国贸易逆差。
