Geek Daily Issue 60: Baidu launches developer search Beta; French President Macron warns Google and Microsoft to comply with EU regulations; 220 million Brazilians have leaked private information

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1. Internet News

1. Baidu launches developer search Beta: simple interface, no ads

According to feedback from netizens, Baidu recently launched the developer search Beta version. The visit address is: https://kaifa.baidu.com . At present, the entire interface is very simple, with only one search box, which prompts "Please enter search keywords", and the search button is on the right.
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Using Java examples to search and view, Baidu developer search Beta currently lists the search results of mainstream technology sites, filters out the useless search results of other sites, and excludes advertisements, which improves the efficiency of developers choosing programmatic search content.

2. Official announcement! Douyin becomes the exclusive interactive partner of CCTV Spring Festival Gala in 2021

In the evening news on January 26, Douyin and CCTV Spring Festival Gala jointly announced that Douyin will become the exclusive red envelope interactive partner of the 2021 Spring Festival Gala. This is the second time Douyin has reached a cooperation with CCTV Spring Festival Gala after the 2019 Spring Festival Gala.
According to reports, on the night of New Year's Eve, Douyin will allocate 1.2 billion yuan during the live broadcast of the Spring Festival Gala. When watching the CCTV Spring Festival Gala, users can get red envelopes by opening Douyin according to the host’s password.

3. Long exposure of Lei Jun's mobile phone usage: playing Douyin, Weibo, WeChat for more than 5 hours a day, and office work only 34 minutes

How long does Xiaomi head Lei Jun play with his mobile phone every day, and what does he do? On January 23, the video of Lei Jun Douyin announced the "truth."

When Lei Jun was asked by an employee, "Fans want to know what you do with your mobile phone every day?" Lei Jun replied in a serious manner, "I use my mobile phone mainly for work."

The witty employee immediately pointed out that "you don't need to speak by yourself", she then turned on Mr. Lei's phone, located the setting-screen usage time, and found that Lei Jun used 6 hours and 18 minutes of the phone this day. In the application details page, Douyin 2 hours 10 minutes, Weibo 2 hours and 7 minutes, WeChat 1 hour and 10 minutes, while Xiaomi’s office time is only 34 minutes.

Of course, this video has a stronger composition. After all, the date in the duration of use is mosaic, so you don't need to take it seriously. Moreover, Lei Jun has always been a "model worker" in the science and technology circle. Some netizens also said that, taking a step back, it is normal for a big guy like Lei Jun to use Douyin, Weibo, and WeChat every day, and to some extent he is also working.
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4. Announcement of the selection results of the 2020 "CCF Lifetime Achievement Award"

The "CCF Lifetime Achievement Award" is awarded to senior Chinese computer science and technology workers who have made major breakthroughs in computer science, technology and engineering, and have made outstanding achievements and made great contributions. The award was established in 2010.

The CCF Award Committee decided to award the 2020 "CCF Lifetime Achievement Award" to Professor Chen Guoliang of Shenzhen University and Professor Sun Yongqiang of Shanghai Jiaotong University for their outstanding contributions to the development of China's computer industry.

5. 220 million Brazilians' private information leaked

The leaked data was 14 GB, containing detailed information on 104 million vehicles and 40 million companies, and 220 million potentially affected people. Brazil has a population of 210 million, which means that information about almost all Brazilians has been leaked (and some foreign residents living in Brazil).

The leaked information included name, date of birth and CPF number. The CPF number is a number assigned by the Brazilian Taxation Agency to residents and foreign residents who need to pay taxes. The network security company issued a warning against phishing scams.

6. Apple loses the lawsuit, and the software that simulates running iOS on the computer is open to individual users

On January 26, after software virtualization company Corellium defeated Apple in court, the company announced on Monday that it would expand its services to enable customers to simulate virtualized iPhone and iPad devices on their personal accounts.

Previously, only corporate customers could use Corellium's CORSEC platform to simulate iOS devices, while Android virtualization tools were for corporate and individual users.

This change allows security researchers and other interested parties to run virtual iPhone and iPad models on their computers without the need for corporate licenses. Pricing is based on the number of virtualized cores or devices, and the service is provided as a monthly subscription or pay-as-you-go. (IT House)

7. French President Macron warned Google and Microsoft to comply with EU regulations

According to reports, French President Emmanuel Macron recently warned Google and Microsoft, hoping that they will work with the European Union to coordinate online content and limit their market power. On Monday, Macron spoke on the phone with Microsoft CEO Satya Nadella (Satya Nadella) and Alphabet CEO Sundar Pichai (Sundar Pichai). Macron said that any unfair practices will be regarded as an attack on European democracy.

8. Google claims that the "privacy sandbox" has almost no impact on advertising revenue, but privacy is still unclear

The new technology "Privacy Sandbox" launched by the tech giant Google is still under review due to potential competition risks. Google issued a statement stating that it is developing an experimental ad targeting technology as a way to reduce the impact of the Chrome browser. Part of a third-party cookie support program whose results are "almost as effective as cookie-based methods."

Google has been busy with a technology called Federated Learning of Cohorts (FLoC), which targets ads based on gathering users into groups with similar interests. The company claims that from a privacy perspective, this technology is superior to the current (bad) “normal” based on third-party tracking of users’ online behavior.

2. Exclusive to programmers

1. pip 21.0 stops supporting Python 3.5

The Changelog of the Python package manager pip 21.0 shows that the most important change in this version is to stop supporting Python 2 and Python 3.5. Python 2 will be retired in January 2020 and Python 3.5 will be retired in March 2020. Both are no longer supported.

2. Apache ECharts becomes ASF top-level project

The Apache Software Foundation (ASF) today announced Apache® ECharts™ as a top-level project (TLP).

Apache ECharts is an intuitive, interactive, and powerful visualization chart library, very suitable for commercial-level chart presentations. The project originated from Baidu in 2013 and entered the Apache incubator in January 2018.

Apache ECharts is written in JavaScript and based on the ZRender rendering engine that supports Canvas and SVG. It provides a series of dynamic and highly customizable chart types, including line charts, bar charts, scatter charts, pie charts, radar charts, and candlestick charts. , Instrument diagram, funnel diagram, heat diagram, etc.

The project recently released the latest version of ECharts 5, which provides rendering capabilities for tens of millions of data, and supports accessibility requirements that comply with W3C's Web Accessibility Initiative Accessible Rich Internet Applications Suite (WAI-ARIA) standard.

3. Mozilla Firefox 86.0 beta 1 is released, enabling multiple picture-in-picture and AVIF support

Mozilla today issued the Firefox 86.0 beta 1 version on FTP, which mainly brings support for multiple picture-in-pictures. The reader can support local HTML pages, and AVIF image support is enabled by default.

new function

  • Extend credit card management and auto-fill functions to the Canadian version of Firefox.
  • By default, multiple picture-in-picture support is enabled.

Fix

  • Reader mode can now use local HTML pages.

3. Github daily selection

1. Browsing without noise: hush

GitHub address: https://github.com/oblador/hush

Prevent experts from accepting cookies and privacy violation tracking in Safari

Four, CSDN community high-quality blog post selection

1. Three school tyrants are going to IPO to ring the bell: Born in Yaoban, make a valuation of 30 billion yuan

On January 12, the Beijing Securities Regulatory Bureau's filing announcement showed that Megvii Technology is accepting CITIC Securities' listing guidance and plans to be listed on the Science and Technology Innovation Board through the public issuance of China Depository Receipts (CDR). Subsequently, Megvii Technology also confirmed the news to the investment community.

This is an AI unicorn jointly created by three students from Tsinghua University. In 2011, Yin Qi, Tang Wenbin, and Yang Mu, who met in Yaoban at Tsinghua University, joined the entrepreneurial road in an entrepreneurial competition and co-founded Megvii Technology. After ten years, Megvii Technology has grown from focusing on face recognition to providing customers with artificial intelligence products and solutions, and has grown into a unicorn with a valuation of 30 billion. Read the original text

2. Tens of thousands of code files were "stolen" within 3 days of employment, and Tesla sued the former software engineer!

In early January this year, after hiring a software automation engineer, Tesla immediately dismissed it because Tesla discovered that the employee was suspected of stealing proprietary information about self-driving cars.

Now, Tesla is also suing the engineer. Read the original text

3. Look at the evolution of recall and ranking in the Youtube recommendation system based on the paper (Part 2)

The previous article (Looking at the Evolution of Recall and Sorting in the Youtube Recommendation System (Part 1) combined with the papers) mainly introduced three papers published by Youtube, but mainly focused on the direction of machine learning. Next, I will use several papers to explain Let’s take a look at Youtube’s work in the direction of deep learning recommendation systems.

Before introducing Youtube’s DNN, let’s first introduce a Google’s very classic deep learning recommendation algorithm Wide & Deep. Although Youtube also belongs to Google, the reason for introducing Wide & Deep first is because I personally think this should be a deep learning application. The "cornerstone" of the recommendation system ranking, and the framework it proposes is also very classic. Read the original text

4. I was messy for half an hour in the cold wind, just because the health code could not be read out

The other day in the morning, I waited for half an hour at the entrance of the office building. The reason behind it was that the QR code of the health code couldn’t be read. The security guard kept telling me that Alipay can’t get out. You can use WeChat. Use WeChat. what.

They use the same interface. I use WeChat to use it. In the cold wind, I tossed my few hairs and drove away.

As a programmer, I started to spit out my heart: How can I do this? No, I can’t open it anymore. I definitely didn’t optimize it. I definitely didn’t use caching. I definitely didn’t do a stress test.

The following is a technical perspective to analyze the realization of this scene and how to optimize it. This is just my YY, and I don’t know how other people realize it in the real scene. Read the original text

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Origin blog.csdn.net/weixin_39786569/article/details/113240255