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Fifty Shades of SexTech: How Sexuality Meets Technology

Integrating Large Language Models (LLMs) into mobile apps is becoming increasingly important as AI advances. LLMs can significantly enhance features like chatbots, language translation, and personalized content. However, deploying these models on Android comes with challenges, such as limited resources and processing power. This guide will walk you through how to effectively deploy LLMs on Android using TensorFlow Lite, covering everything from setting up to implementing a chatbot. Setting Up TensorFlow Lite for LLMs 1. Adding TensorFlow Lite to Your Android Project First, include TensorFlow Lite in your Android project by adding the following dependencies to your build.gradle file: dependencies {
    implementation 'org.tensorflow:tensorflow-lite:2.7.0'
    implementation 'org.tensorflow:tensorflow-lite-support:0.3.0'
} 2. Loading the Model Load your pre-trained LLM model into your app. Here’s an example code snippet: import org.tensorflow.lite.Interpreter;
import java.nio.MappedByteBuffer;
import java.nio.channels.FileChannel;
import android.content.res.AssetFileDescriptor;

public class LLMActivity extends AppCompatActivity {
    private Interpreter interpreter;

    private MappedByteBuffer loadModelFile() throws IOException {
        AssetFileDescriptor fileDescriptor = this.getAssets().openFd("model.tflite");
        FileInputStream inputStream = new FileInputStream(fileDescriptor.getFileDescriptor());
        FileChannel fileChannel = inputStream.getChannel();
        long startOffset = fileDescriptor.getStartOffset();
        long declaredLength = fileDescriptor.getDeclaredLength();
        return fileChannel.map(FileChannel.MapMode.READ_ONLY, startOffset, declaredLength);
    }

    private void initializeInterpreter() {
        try {
            interpreter = new Interpreter(loadModelFile());
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
} 3. Running Inference Run inference by passing input data and processing the output. Here’s an example: public String generateText(String inputText) {
    float[][] input = preprocessInput(inputText);  // Tokenize and process input
    float[][] output = new float[1][outputLength]; // Define the output array

    interpreter.run(input, output); // Run inference to generate a response

    return postprocessOutput(output); // Convert model output to text
} Optimizing the Model Optimizing LLMs is crucial for performance on mobile devices. Use TensorFlow Lite's Model Optimization Toolkit to reduce model size and improve speed, such as by applying quantization: import tensorflow as tf

converter = tf.lite.TFLiteConverter.from_saved_model('path_to_your_model')
converter.optimizations = [tf.lite.Optimize.DEFAULT]
quantized_model = converter.convert()

with open('quantized_model.tflite', 'wb') as f:
    f.write(quantized_model) Use Case: Implementing a Chatbot with LLMs on Android Introduction LLMs are ideal for creating chatbots, providing intelligent, real-time responses that enhance customer interaction. This section will guide you through building an AI-powered chatbot on Android, focusing on integrating an LLM, optimizing it for mobile, and effectively deploying it. 1. Setting Up the Environment Add TensorFlow Lite: As demonstrated above, include TensorFlow Lite in your project.


Prepare the Model: Choose a pre-trained conversational LLM optimized for mobile and convert it to TensorFlow Lite format. 2. Loading and Running the Model Load the Model: Use the loadModelFile function shown earlier to load your chatbot model.


Run Inference: Implement a generateResponse function to process user input and generate a response. 3. Building the Chatbot Interface Design the UI: Create a simple UI with a text input field, send button, and chat history window.
Handle User Input: Capture user input, pass it to the LLM, and display the response in the chat history. history. java Button sendButton = findViewById(R.id.sendButton);
EditText inputField = findViewById(R.id.inputField);
TextView chatHistory = findViewById(R.id.chatHistory);

sendButton.setOnClickListener(new View.OnClickListener() {
@Override
public void onClick(View v) {
String userInput = inputField.getText().toString();
String response = generateResponse(userInput);
chatHistory.append("You: " + userInput +");
chatHistory.append("Bot: " + response +");
}
}); Testing and Deployment Testing: Thoroughly test the chatbot under different conditions, including varying network speeds and device specs.
Deployment: Prepare the chatbot for deployment, possibly through staged releases to gather feedback and make improvements. Challenges and Best Practices Deploying LLMs on Android presents challenges: Memory Constraints: Optimize models to fit within device memory limits.
Latency: Maintain low latency to ensure a smooth user experience.
Battery Consumption: Reduce battery usage through optimizations like quantization. Conclusion Integrating LLMs into Android apps can significantly enhance user experiences by adding advanced AI-driven features like chatbots. Following the steps outlined and leveraging tools like TensorFlow Lite will help you efficiently deploy these powerful models on mobile devices. As AI evolves, mastering these techniques will be crucial for staying competitive in mobile app development. References TensorFlow Lite: https://www.tensorflow.org/lite
TensorFlow Lite Model Optimization: https://www.tensorflow.org/lite/performance/model_optimization
Android Developer Guide: https://developer.android.com
Implementing AI on Mobile: https://ai.googleblog.com/2020/02/implementing-ml-on-mobile.html
TensorFlow Lite for Android: https://www.tensorflow.org/lite/guide/android Integrating Large Language Models (LLMs) into mobile apps is becoming increasingly important as AI advances. LLMs can significantly enhance features like chatbots, language translation, and personalized content. However, deploying these models on Android comes with challenges, such as limited resources and processing power. This guide will walk you through how to effectively deploy LLMs on Android using TensorFlow Lite, covering everything from setting up to implementing a chatbot. TensorFlow Setting Up TensorFlow Lite for LLMs Setting Up TensorFlow Lite for LLMs 1. Adding TensorFlow Lite to Your Android Project First, include TensorFlow Lite in your Android project by adding the following dependencies to your build.gradle file: build.gradle dependencies {
    implementation 'org.tensorflow:tensorflow-lite:2.7.0'
    implementation 'org.tensorflow:tensorflow-lite-support:0.3.0'
} dependencies {
    implementation 'org.tensorflow:tensorflow-lite:2.7.0'
    implementation 'org.tensorflow:tensorflow-lite-support:0.3.0'
} 2. Loading the Model Load your pre-trained LLM model into your app. Here’s an example code snippet: import org.tensorflow.lite.Interpreter;
import java.nio.MappedByteBuffer;
import java.nio.channels.FileChannel;
import android.content.res.AssetFileDescriptor;

public class LLMActivity extends AppCompatActivity {
    private Interpreter interpreter;

    private MappedByteBuffer loadModelFile() throws IOException {
        AssetFileDescriptor fileDescriptor = this.getAssets().openFd("model.tflite");
        FileInputStream inputStream = new FileInputStream(fileDescriptor.getFileDescriptor());
        FileChannel fileChannel = inputStream.getChannel();
        long startOffset = fileDescriptor.getStartOffset();
        long declaredLength = fileDescriptor.getDeclaredLength();
        return fileChannel.map(FileChannel.MapMode.READ_ONLY, startOffset, declaredLength);
    }

    private void initializeInterpreter() {
        try {
            interpreter = new Interpreter(loadModelFile());
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
} import org.tensorflow.lite.Interpreter;
import java.nio.MappedByteBuffer;
import java.nio.channels.FileChannel;
import android.content.res.AssetFileDescriptor;

public class LLMActivity extends AppCompatActivity {
    private Interpreter interpreter;

    private MappedByteBuffer loadModelFile() throws IOException {
        AssetFileDescriptor fileDescriptor = this.getAssets().openFd("model.tflite");
        FileInputStream inputStream = new FileInputStream(fileDescriptor.getFileDescriptor());
        FileChannel fileChannel = inputStream.getChannel();
        long startOffset = fileDescriptor.getStartOffset();
        long declaredLength = fileDescriptor.getDeclaredLength();
        return fileChannel.map(FileChannel.MapMode.READ_ONLY, startOffset, declaredLength);
    }

    private void initializeInterpreter() {
        try {
            interpreter = new Interpreter(loadModelFile());
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
} 3. Running Inference Run inference by passing input data and processing the output. Here’s an example: public String generateText(String inputText) {
    float[][] input = preprocessInput(inputText);  // Tokenize and process input
    float[][] output = new float[1][outputLength]; // Define the output array

    interpreter.run(input, output); // Run inference to generate a response

    return postprocessOutput(output); // Convert model output to text
} public String generateText(String inputText) {
    float[][] input = preprocessInput(inputText);  // Tokenize and process input
    float[][] output = new float[1][outputLength]; // Define the output array

    interpreter.run(input, output); // Run inference to generate a response

    return postprocessOutput(output); // Convert model output to text
} Optimizing the Model Optimizing the Model Optimizing LLMs is crucial for performance on mobile devices. Use TensorFlow Lite's Model Optimization Toolkit to reduce model size and improve speed, such as by applying quantization: import tensorflow as tf

converter = tf.lite.TFLiteConverter.from_saved_model('path_to_your_model')
converter.optimizations = [tf.lite.Optimize.DEFAULT]
quantized_model = converter.convert()

with open('quantized_model.tflite', 'wb') as f:
    f.write(quantized_model) import tensorflow as tf

converter = tf.lite.TFLiteConverter.from_saved_model('path_to_your_model')
converter.optimizations = [tf.lite.Optimize.DEFAULT]
quantized_model = converter.convert()

with open('quantized_model.tflite', 'wb') as f:
    f.write(quantized_model) Use Case: Implementing a Chatbot with LLMs on Android Introduction Introduction LLMs are ideal for creating chatbots, providing intelligent, real-time responses that enhance customer interaction. This section will guide you through building an AI-powered chatbot on Android, focusing on integrating an LLM, optimizing it for mobile, and effectively deploying it. 1. Setting Up the Environment 1. Setting Up the Environment Add TensorFlow Lite: As demonstrated above, include TensorFlow Lite in your project. Prepare the Model: Choose a pre-trained conversational LLM optimized for mobile and convert it to TensorFlow Lite format. Add TensorFlow Lite: As demonstrated above, include TensorFlow Lite in your project. Add TensorFlow Lite : As demonstrated above, include TensorFlow Lite in your project. Add TensorFlow Lite Prepare the Model: Choose a pre-trained conversational LLM optimized for mobile and convert it to TensorFlow Lite format. Prepare the Model : Choose a pre-trained conversational LLM optimized for mobile and convert it to TensorFlow Lite format. Prepare the Model 2. Loading and Running the Model 2. Loading and Running the Model Load the Model: Use the loadModelFile function shown earlier to load your chatbot model. Run Inference: Implement a generateResponse function to process user input and generate a response. Load the Model: Use the loadModelFile function shown earlier to load your chatbot model. Load the Model : Use the loadModelFile function shown earlier to load your chatbot model. Load the Model loadModelFile Run Inference: Implement a generateResponse function to process user input and generate a response. Run Inference : Implement a generateResponse function to process user input and generate a response. Run Inference generateResponse 3. Building the Chatbot Interface 3. Building the Chatbot Interface Design the UI: Create a simple UI with a text input field, send button, and chat history window. Handle User Input: Capture user input, pass it to the LLM, and display the response in the chat history. Design the UI : Create a simple UI with a text input field, send button, and chat history window. Design the UI Handle User Input : Capture user input, pass it to the LLM, and display the response in the chat history. Handle User Input history. java Button sendButton = findViewById(R.id.sendButton);
EditText inputField = findViewById(R.id.inputField);
TextView chatHistory = findViewById(R.id.chatHistory);

sendButton.setOnClickListener(new View.OnClickListener() {
@Override
public void onClick(View v) {
String userInput = inputField.getText().toString();
String response = generateResponse(userInput);
chatHistory.append("You: " + userInput +");
chatHistory.append("Bot: " + response +");
}
}); Button sendButton = findViewById(R.id.sendButton);
EditText inputField = findViewById(R.id.inputField);
TextView chatHistory = findViewById(R.id.chatHistory);

sendButton.setOnClickListener(new View.OnClickListener() {
@Override
public void onClick(View v) {
String userInput = inputField.getText().toString();
String response = generateResponse(userInput);
chatHistory.append("You: " + userInput +");
chatHistory.append("Bot: " + response +");
}
}); Testing and Deployment Testing and Deployment Testing and Deployment Testing: Thoroughly test the chatbot under different conditions, including varying network speeds and device specs. Deployment: Prepare the chatbot for deployment, possibly through staged releases to gather feedback and make improvements. Testing : Thoroughly test the chatbot under different conditions, including varying network speeds and device specs. Testing Deployment : Prepare the chatbot for deployment, possibly through staged releases to gather feedback and make improvements. Deployment Challenges and Best Practices Challenges and Best Practices Deploying LLMs on Android presents challenges: Memory Constraints: Optimize models to fit within device memory limits. Latency: Maintain low latency to ensure a smooth user experience. Battery Consumption: Reduce battery usage through optimizations like quantization. Memory Constraints : Optimize models to fit within device memory limits. Memory Constraints Latency : Maintain low latency to ensure a smooth user experience. Latency Battery Consumption : Reduce battery usage through optimizations like quantization. Battery Consumption Conclusion Conclusion Integrating LLMs into Android apps can significantly enhance user experiences by adding advanced AI-driven features like chatbots. Following the steps outlined and leveraging tools like TensorFlow Lite will help you efficiently deploy these powerful models on mobile devices. As AI evolves, mastering these techniques will be crucial for staying competitive in mobile app development. References References TensorFlow Lite: https://www.tensorflow.org/lite TensorFlow Lite Model Optimization: https://www.tensorflow.org/lite/performance/model_optimization Android Developer Guide: https://developer.android.com Implementing AI on Mobile: https://ai.googleblog.com/2020/02/implementing-ml-on-mobile.html TensorFlow Lite for Android: https://www.tensorflow.org/lite/guide/android TensorFlow Lite: https://www.tensorflow.org/lite TensorFlow Lite Model Optimization: https://www.tensorflow.org/lite/performance/model_optimization Android Developer Guide: https://developer.android.com https://developer.android.com Implementing AI on Mobile: https://ai.googleblog.com/2020/02/implementing-ml-on-mobile.html TensorFlow Lite for Android: https://www.tensorflow.org/lite/guide/android

How to Deploy Large Language Models on Android with TensorFlow Lite

From Nuisance to News Sense: Conclusion, Limitations and Ethic, and References

The massive growth of data capacity in the cloud and big data era poses new challenges for data storage and protection, shifting from traditional familiar IT architecture to cloud architecture, virtualization, and hyper-convergence as representative technology upgrade iterations, accelerating the technical means of data protection. Cyber-attacks have become more common in recent years. According to the SonicWALL , ransomware attacks have surged by 232% since 2019. Here are a few examples of severe data breaches caused by ransomware. 2022 Cyber Threat Report Accenture Accenture left at least four AWS S3 storage buckets insecure in 2017, according to UpGuard, the world's first cyber resiliency startup, which discovered this in its cyber risk analysis. Unrestricted authentication details, private API data, digital certificates, decryption keys, user data, and meta information were all exposed in the hack. According to UpGuard's security investigation, the public had access to 137GB of data. As a result, cybercriminals exploited this information to defame people and extort money. Some of the stolen data were also made public on the dark web. Accenture was hit by the LockBit ransomware once more in August 2021. This time, the company was aware of the infiltration during an audit in the fourth quarter of 2021. As a result of the 2021 data breach, Accenture suspected a series of attacks on client networks, including misconceptions of vital systems, unintended leaks, and subsequent malware infections. The perpetrators, the LockBit ransomware, claim to have stolen 6 gigabytes of data from the attack and are holding it for a $50 million ransom. Verizon Due to an AWS S3 configuration issue, Verizon's third-party queue NiceSystems inadvertently disclosed user PPI in 2017. Because of Nice's blunder, the attacker was able to obtain more consumer call data. Verizon recorded 29,207 security incidents in 2020, with 5,200 of them confirmed as intrusions. DDoS attacks targeted the telecom behemoth; social engineering and client-side web application infections drove each attack, exposing server-side systems. Kaseya Kaseya, based in Miami, made a statement on July 2, 2021, stating that their Kaseya VSA software is vulnerable and has been compromised by the REvil hacker ransom organization and that it has shut down its SaaS servers and advised all clients to take down their VSA servers. Kaseya provides remote management software services for Managed Service Providers (MSPs), and this incident is widespread due to the global reach of MSP providers' customers, with Coop, one of Sweden's largest supermarket chains, being forced to shut down services at more than 800 stores nationwide as a result of the supply chain ransom attack. In February 2019, the Gandcrab ransomware organization exploited a vulnerability in the Kaseya plugin for ConnectWise Manage software to spread malware on MSP's customer network, marking the third time Kaseya products have been utilized in a ransomware deployment event. The REvil ransomware organization used an open RDP service to launch an attack against MSPs using the Webroot SecureAnywhere and Kaseya VSA solutions to distribute malware to their customers' networks in June 2019. Cognyte Cognyte, a cybersecurity analytics company, committed a mistake in May 2021 that rendered their database unprotected without authentication protocols. This blunder allowed cybercriminals to access 5 billion user records. Customers were notified of the third-party data breach by the comparative data provided by Cognyte's database. User credentials such as names, email addresses, passwords, and susceptible data points in the system were among the information disclosed. Raychat Raychat, an Iranian chat program, has managed to withstand a huge cyberattack. Nearly 267 million usernames, emails, passwords, information, and encrypted chat logs were exposed as a result of a database configuration breach. All of the company's data was destroyed by a targeted bot attack. According to Gizmodo, data was made public due to a MongoDB misconfiguration, allowing cyber attackers to manage the chat application's private data at any time. It demonstrates that bots may easily target NoSQL databases. Enterprises have long been concerned about , and they have gone to tremendous lengths to ensure that essential data is preserved. Every business does not take data backup and disaster recovery of crucial information lightly. The loss of key data spells the end for the company. When data is damaged by irresistible natural forces or human factors, it not only causes significant difficulties in the running of the business but also damages the company's reputation and puts it at a competitive disadvantage, resulting in incalculable losses. data backup and disaster recovery Documents, contacts, contracts, letters, and account numbers are essential for the great majority of enterprises. While contemporary technology aids businesses in managing critical data, it may also allow data to vanish in the blink of an eye. For most businesses, losing data means pausing operations, which will undoubtedly result in a loss of revenue, reputational damage, and the cost of recovery. Statistics show that the average financial loss suffered by small businesses in data loss cases amounts to $120,000, and $1.23 million for large enterprises. We therefore recommend: n Choose an affordable and reliable backup solution that meets your company's demands, and budget for data protection. n Back up at the very least the most crucial data, and better yet, all of it. n Backing up data on a frequent basis and automating it as much as possible; otherwise, it's easy to become engrossed in day-to-day duties and forget to back it up. n Back up your data in two copies, one on physical media and retained on-site, and the other in cloud storage.

Top 5 Cloud Data Breaches of Recent Years

200 Black Women in Tech to Follow on Twitter

NEW YORK, United States of America, October 29th, 2024/Chainwire/--Student Coin, an educational crypto project established in 2019, has initiated a structured token redemption process following the decision to wind down its primary operations. This move aims to protect the interests of STC token holders as the team transitions its focus towards new ventures. Originally launched by undergraduates from Kozminski University in Warsaw, Poland, Student Coin began as a student-focused initiative designed to explore blockchain applications in academia. The project quickly expanded, reaching over 15,000 students at more than 500 universities by the end of 2020. Throughout its development, Student Coin introduced various products, including the STC Wallet, STC Terminal, STC Academy, and Coinpaper, which supported blockchain education and fostered community engagement. Following the success of its 2021 STC Launchpad, the project experienced continued growth, culminating in a user base of over 200,000. However, as the crypto market evolved, the team faced challenges ranging from legal obstacles and university resistance to the collapse of major exchanges, all of which impacted its operational outlook. Challenges and Strategic Reassessment Despite significant milestones, Student Coin encountered mounting difficulties in achieving its goals. Efforts to scale the STC Wallet as a multi-functional exchange faced legal risks and the collapse of exchanges like FTX forced a rethink. Attempts to expand the STC Terminal were met with resistance from institutions wary of token-based applications. By 2023, it became evident that scaling $STC to meet its desired utility and market value was increasingly difficult. After careful consideration, the Student Coin team opted to phase out products such as the STC Terminal, STC Academy, and other initiatives. This decision reflects the company’s intention to act responsibly by redeeming $STC tokens instead of continuing with limited prospects for growth. The decision was made to distribute all remaining project funds between token holders, ensuring that through winding down the token, everyone receives fair compensation based on their individual situation. The established redemption prices range between $0.006 and $0.0137 per STC Token and are tailored to individual user profiles. Factors such as purchase price, purchase date, token holdings, and participation in programs like the Premium Program influence the final redemption value. This tiered system rewards those who have been with the project from the start and actively engaged with the Student Coin ecosystem. Image: STC token's historical price index along with the major events affecting its fluctuations. STC Token Redemption Process Student Coin’s token redemption program began on April 9, 2024, with an initial window for STC Wallet users that closed on June 9. An additional deadline for redeeming tokens via redemption request on October 9, 2024, marks the closure of the STC Wallet, while on-chain token holders have time until April 9, 2029, to redeem their tokens. This extended timeline accommodates the shutdown of on-chain support and ensures ample opportunity for token holders to complete the redemption process. On-chain holders can transfer tokens to a designated burn address. Users should expect a processing time of up to three months to receive the USDC back to the address. Keep in mind that USDC can only be sent to the address that burned $STC. Users cannot receive USDC at any other address. Furthermore, it is extremely important to remember that users cannot send $STC to the burn address directly from an exchange, as they would lose all of their funds. Read the detailed on-chain burn procedure. About Student Coin Founded in 2019 by a group of university students in Warsaw, Poland, Student Coin sought to harness blockchain technology for educational and community-building purposes. Initially targeting students and academia, the project grew to encompass a global community of over 200,000 users and introduced products such as the STC Wallet, STC Terminal, STC Academy, and Coinpaper. Focused on accessible blockchain education and tokenized solutions, Student Coin rapidly expanded to more than 500 universities worldwide. As the project winds down, the team remains committed to supporting the community through a comprehensive token redemption program and plans to pursue new initiatives in the crypto media sector. For more information, please visit StudentCoin.org. Contact Coinpaper contact@coinpaper.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here NEW YORK, United States of America, October 29th, 2024/Chainwire/--Student Coin, an educational crypto project established in 2019, has initiated a structured token redemption process following the decision to wind down its primary operations. This move aims to protect the interests of STC token holders as the team transitions its focus towards new ventures. Originally launched by undergraduates from Kozminski University in Warsaw, Poland, Student Coin began as a student-focused initiative designed to explore blockchain applications in academia. The project quickly expanded, reaching over 15,000 students at more than 500 universities by the end of 2020. Throughout its development, Student Coin introduced various products, including the STC Wallet, STC Terminal, STC Academy, and Coinpaper , which supported blockchain education and fostered community engagement. Coinpaper Coinpaper Following the success of its 2021 STC Launchpad, the project experienced continued growth, culminating in a user base of over 200,000. However, as the crypto market evolved, the team faced challenges ranging from legal obstacles and university resistance to the collapse of major exchanges, all of which impacted its operational outlook. Challenges and Strategic Reassessment Despite significant milestones, Student Coin encountered mounting difficulties in achieving its goals. Efforts to scale the STC Wallet as a multi-functional exchange faced legal risks and the collapse of exchanges like FTX forced a rethink. FTX FTX Attempts to expand the STC Terminal were met with resistance from institutions wary of token-based applications. By 2023, it became evident that scaling $STC to meet its desired utility and market value was increasingly difficult. After careful consideration, the Student Coin team opted to phase out products such as the STC Terminal, STC Academy, and other initiatives. This decision reflects the company’s intention to act responsibly by redeeming $STC tokens instead of continuing with limited prospects for growth. The decision was made to distribute all remaining project funds between token holders, ensuring that through winding down the token, everyone receives fair compensation based on their individual situation. The established redemption prices range between $0.006 and $0.0137 per STC Token and are tailored to individual user profiles. Factors such as purchase price, purchase date, token holdings, and participation in programs like the Premium Program influence the final redemption value. This tiered system rewards those who have been with the project from the start and actively engaged with the Student Coin ecosystem. Image: STC token's historical price index along with the major events affecting its fluctuations. STC Token Redemption Process Student Coin’s token redemption program began on April 9, 2024, with an initial window for STC Wallet users that closed on June 9. An additional deadline for redeeming tokens via redemption request on October 9, 2024, marks the closure of the STC Wallet, while on-chain token holders have time until April 9, 2029, to redeem their tokens. This extended timeline accommodates the shutdown of on-chain support and ensures ample opportunity for token holders to complete the redemption process. On-chain holders can transfer tokens to a designated burn address. Users should expect a processing time of up to three months to receive the USDC back to the address. Keep in mind that USDC can only be sent to the address that burned $STC. Users cannot receive USDC at any other address. Furthermore, it is extremely important to remember that users cannot send $STC to the burn address directly from an exchange, as they would lose all of their funds. Read the detailed on-chain burn procedure . on-chain burn procedure on-chain burn procedure About Student Coin Founded in 2019 by a group of university students in Warsaw, Poland, Student Coin sought to harness blockchain technology for educational and community-building purposes. Initially targeting students and academia, the project grew to encompass a global community of over 200,000 users and introduced products such as the STC Wallet, STC Terminal, STC Academy, and Coinpaper. Focused on accessible blockchain education and tokenized solutions, Student Coin rapidly expanded to more than 500 universities worldwide. As the project winds down, the team remains committed to supporting the community through a comprehensive token redemption program and plans to pursue new initiatives in the crypto media sector. For more information, please visit StudentCoin.org . StudentCoin.org StudentCoin.org Contact Coinpaper contact@coinpaper.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Student Coin Announces Comprehensive STC Token Redemption Following Operational Shutdown

Student Coin anuncia un canje integral de tokens STC tras el cierre operativo

Student Coin annonce le rachat complet des jetons STC après l'arrêt opérationnel

Student Coin、運用停止後の包括的なSTCトークン償還を発表

Studentų moneta praneša apie visapusišką STC žetonų išpirkimą po veiklos nutraukimo

Studenta monēta paziņo par visaptverošu STC marķiera izpirkšanu pēc darbības pārtraukšanas

Syiling Pelajar Mengumumkan Penebusan Token STC Komprehensif Selepas Penutupan Operasi

Študentská minca oznamuje komplexné vyplatenie tokenov STC po operačnom odstavení

Studentmynt tillkännager omfattande inlösen av STC-token efter driftstopp

Sarafu ya Mwanafunzi Inatangaza Ukombozi Kabambe wa Tokeni ya STC Kufuatia Kuzimwa kwa Utendaji

Student Coin оголошує про комплексне погашення токенів STC після припинення роботи

Student Coin thông báo về việc đổi toàn bộ token STC sau khi ngừng hoạt động

Uhlamvu Lwemali Lwezitshudeni Lumemezela Ukukhishwa Kwethokheni Ye-STC Okuphelele Ngemva Kokuvala Umsebenzi

Last week, Apple revealed its largest buyback program in history. Apple plans to repurchase $110 billion worth of its stock. This is not the first time Apple buys back its own shares. The previous record was set in 2018 when Apple announced a $100 billion buyback. Share buybacks are a part of Apple’s investment strategy. Specific numbers vary from quarter to quarter, but Apple is increasing the size of regular share repurchases over time. The fiscal second-quarter report indicated that Apple’s revenue declined by 4% year-over-year. The material decrease in product sales served as the key catalyst for the decline. Meanwhile, services revenue increased by 14.35%. Apple produces boatloads of cash and spends it on buybacks and dividends. The fiscal second-quarter report showed that payments for acquisition of property, plant, and equipment were almost 10 times smaller than repurchases of common stock in the last six months. Why? Apple has no big investment ideas, so it has to buy its own shares. Boosting investments in its core business, iPhone production, does not make much sense for Apple. There’s almost no room for growth without risking damaging the special status of the product, cheaper competitors are gaining market share, so it’s not surprising to see that Apple’s revenue from product sales is falling. Services, which benefit from Apple’s closed ecosystem, serve as the core of the investment thesis for the company’s stock. Importantly, the growth of services’ revenue does not require investments of the $110 billion magnitude. Interestingly, Apple is more than twice as big as Bitcoin in terms of market cap. At this point, investors are ready to pay more for a stagnating business with falling revenue than for an asset that represents the future of money. The finance world is conservative. Closing the gap between one of the most popular stocks and the world’s main crypto may take some time, which provides an excellent opportunity to build a crypto position at reasonable prices. Last week, Apple revealed its largest buyback program in history. Apple plans to repurchase $110 billion worth of its stock. revealed revealed This is not the first time Apple buys back its own shares. The previous record was set in 2018 when Apple announced a $100 billion buyback. Share buybacks are a part of Apple’s investment strategy. Specific numbers vary from quarter to quarter , but Apple is increasing the size of regular share repurchases over time. quarter to quarter quarter to quarter The fiscal second-quarter report indicated that Apple’s revenue declined by 4% year-over-year. The material decrease in product sales served as the key catalyst for the decline. Meanwhile, services revenue increased by 14.35%. fiscal second-quarter report fiscal second-quarter report Apple produces boatloads of cash and spends it on buybacks and dividends. The fiscal second-quarter report showed that payments for acquisition of property, plant, and equipment were almost 10 times smaller than repurchases of common stock in the last six months. Why? Apple has no big investment ideas, so it has to buy its own shares. Boosting investments in its core business, iPhone production, does not make much sense for Apple. There’s almost no room for growth without risking damaging the special status of the product, cheaper competitors are gaining market share, so it’s not surprising to see that Apple’s revenue from product sales is falling. Services, which benefit from Apple’s closed ecosystem, serve as the core of the investment thesis for the company’s stock. Importantly, the growth of services’ revenue does not require investments of the $110 billion magnitude. Interestingly, Apple is more than twice as big as Bitcoin in terms of market cap. At this point, investors are ready to pay more for a stagnating business with falling revenue than for an asset that represents the future of money. The finance world is conservative. Closing the gap between one of the most popular stocks and the world’s main crypto may take some time, which provides an excellent opportunity to build a crypto position at reasonable prices.

Apple Announces Record Buyback: the Company is Running Out of Investing Ideas

অ্যাপল রেকর্ড বাইব্যাক ঘোষণা করেছে: কোম্পানির বিনিয়োগের ধারণা ফুরিয়ে যাচ্ছে

Apple kündigt Rekordrückkauf an: Dem Unternehmen gehen die Investitionsideen aus

Apple anuncia una recompra récord: la empresa se está quedando sin ideas de inversión

Apple annonce un rachat record : l'entreprise est à court d'idées d'investissement

एप्पल ने रिकॉर्ड बायबैक की घोषणा की: कंपनी के पास निवेश के लिए विचार खत्म हो रहे हैं

アップルが記録的な自社株買いを発表：同社は投資アイデアが枯渇しつつある

Apple, 기록적인 자사주 매입 발표: 회사에 투자 아이디어가 부족함

Apple anuncia recompra recorde: a empresa está ficando sem ideias de investimento

Apple объявляет о рекордном обратном выкупе: у компании заканчиваются инвестиционные идеи

Apple Rekor Geri Alımını Duyurdu: Şirketin Yatırım Fikirleri Tükeniyor

Apple công bố mức mua lại kỷ lục: Công ty sắp hết ý tưởng đầu tư

苹果宣布创纪录股票回购：公司投资思路已枯竭

BOSTON, Massachusetts, November 28th, 2023/Cyberwire/--A severe design flaw in Google Workspace's domain-wide delegation feature discovered by threat hunting experts from , can allow attackers to misuse existing delegations, enabling privilege escalation and unauthorized access to Workspace APIs without Super Admin privileges. Hunters’ Team Axon Such exploitation could result in theft of emails from Gmail, data exfiltration from Google Drive, or other unauthorized actions within Google Workspace APIs on all of the identities in the target domain. Hunters has responsibly disclosed this to Google and worked closely with them prior to publishing this research. Domain-wide delegation permits a comprehensive delegation between Google Cloud Platform (GCP) identity objects and Google Workspace applications. In other words, it enables GCP identities to execute tasks on Google SaaS applications, such as Gmail, Google Calendar, Google Drive, and more, on behalf of other Workspace users. The design flaw, which the team at Hunters has dubbed “DeleFriend,” allows potential attackers to manipulate existing delegations in GCP and Google Workspace without possessing the high-privilege Super Admin role on Workspace, which is essential for creating new delegations. Instead, with less privileged access to a target GCP project, they can create numerous JSON web tokens (JWTs) composed of different OAuth scopes, aiming to pinpoint successful combinations of private key pairs and authorized OAuth scopes which indicate that the service account has domain-wide delegation enabled. The root cause lies in the fact that the domain delegation configuration is determined by the service account resource identifier (OAuth ID), and not the specific private keys associated with the service account identity object. Additionally, no restrictions for fuzzing of JWT combinations were implemented on the API level, which does not restrict the option of enumerating numerous options for finding and taking over existing delegations. This flaw poses a special risk due to potential impact described above and is amplified by the following: Long Life: By default, GCP Service account keys are created without an expiry date. This feature makes them ideal for establishing backdoors and ensuring long-term persistence. Easy to hide: The creation of new service account keys for existing IAMs or, alternatively, the setting of a delegation rule within the API authorization page is easy to conceal. This is because these pages typically host a wide array of legitimate entries, which are not examined thoroughly enough. Awareness: IT and Security departments may not always be cognizant of the domain-wide delegation feature. They might especially be unaware of its potential for malicious abuse. Hard to detect: Since delegated API calls are created on behalf of the target identity, the API calls will be logged with the victim details in the corresponding GWS audit logs. This makes it challenging to identify such activities. “The potential consequences of malicious actors misusing domain-wide delegation are severe. Instead of affecting just a single identity, as with individual OAuth consent, exploiting DWD with existing delegation can impact every identity within the Workspace domain,” says Yonatan Khanashvili of Hunters’ Team Axon. The range of possible actions varies based on the OAuth scopes of the delegation. For instance, email theft from Gmail, data exfiltration from the drive, or monitor meetings from Google Calendar. In order to execute the attack method, a particular GCP permission is needed on the target Service Accounts. However, Hunters observed that such permission is not an uncommon practice in organizations making this attack technique highly prevalent in organizations that don’t maintain a security posture in their GCP resources. “By adhering to best practices, and managing permissions and resources smartly, organizations can dramatically minimize the impact of the attack method” Khanashvili continued. Hunters has created a (full details are included in the full research) to assist organizations in detecting DWD misconfigurations, increasing awareness, and reducing DeleFriend’s exploitation risks. proof-of-concept tool Using this tool, red teams, pen testers, and security researchers can simulate attacks and locate vulnerable attack paths of GCP IAM users to existing delegations in their GCP Projects to evaluate (and then improve) the security risk and posture of their Workspace and GCP environments. Hunters’ Team Axon has also compiled that lays out exactly how the vulnerability works as well as recommendations for thorough threat hunting, detection techniques, and best practices for countering domain-wide delegation attacks. comprehensive research Hunters responsibly reported DeleFriend to Google as part of Google’s “Bug Hunters” program in August, and are collaborating closely with Google's security and product teams to explore appropriate mitigation strategies. Currently, Google has yet to resolve the design flaw. Read the full research , and follow Hunters’ . here Team Axon on Twitter About Hunters delivers a Security Operations Center (SOC) Platform that reduces risk, complexity, and cost for security teams. A SIEM alternative, Hunters SOC Platform provides data ingestion, built-in and always up-to-date threat detection, and automated correlation and investigation capabilities, minimizing the time to understand and respond to real threats. Hunters Organizations like Booking.com, ChargePoint, Yext, Upwork and Cimpress leverage Hunters SOC Platform to empower their security teams. Hunters is backed by leading VCs and strategic investors including Stripes, YL Ventures, DTCP, Cisco Investments, Bessemer Venture Partners, U.S. Venture Partners (USVP), Microsoft’s venture fund M12, Blumberg Capital, Snowflake, Databricks, and Okta. Contact Yael Macias yael@hunters.security This story was distributed as a release by Cyberwire under HackerNoon’s Business Blogging Program. Learn more about the program . here

Hunters Team Axon Discovers Design Flaw That Could Leave Google Workspace Vulnerable For Takeover

হান্টার্স টিম অ্যাক্সন ডিজাইনের ত্রুটি আবিষ্কার করেছে যা টেকওভারের জন্য Google ওয়ার্কস্পেসকে ঝুঁকিপূর্ণ ছেড়ে দিতে পারে

Das Hunters-Team Axon entdeckt einen Designfehler, der Google Workspace anfällig für eine Übernahme machen könnte

Hunters Team Axon descubre un defecto de diseño que podría dejar a Google Workspace vulnerable a la adquisición

L'équipe Hunters Axon découvre une faille de conception qui pourrait rendre Google Workspace vulnérable au rachat

हंटर्स टीम एक्सॉन ने डिज़ाइन दोष का पता लगाया है जो Google वर्कस्पेस को अधिग्रहण के लिए असुरक्षित बना सकता है

Hunters Team Axon が Google Workspace を乗っ取りの危険にさらす可能性のある設計上の欠陥を発見

Hunters Team Axon, Google Workspace를 인수에 취약하게 만들 수 있는 설계 결함 발견

A equipe de Hunters Axon descobre uma falha de design que pode deixar o Google Workspace vulnerável para aquisição

Команда охотников Axon обнаружила недостаток в конструкции, который может сделать Google Workspace уязвимым для захвата

Hunters Team Axon, Google Workspace'i Devralınmaya Karşı Savunmasız Bırakabilecek Tasarım Kusurunu Keşfetti

Nhóm Hunters Axon phát hiện ra lỗ hổng thiết kế có thể khiến Google Workspace dễ bị tiếp quản

Hunters Team Axon 发现设计缺陷，可能导致 Google Workspace 容易被接管

Microsoft's acquisition history dates back to July 30, 1987, when it made its first acquisition. Forethought was a computer software company founded in 1983. The company developed a computer program best known as Microsoft PowerPoint today. Ten years later, Microsoft merged Hotmail into its MSN group of services after purchasing Hotmail.com for , at the time its largest acquisition. $500 million After that, Microsoft went on to acquire over . 225 companies From acquiring Hotmail.com on December 31, 1997, to moving to buy Activision Blizzard on January 2022, Microsoft seems to always make headlines each year with its buyout of companies, the company has purchased an average of a year. six companies Between 2005 and 2008, the company acquired more than ten businesses annually, with its 18 acquisitions in 2006 being the biggest in a single year. Today, Microsoft is on it again. The purchase of Activision is famed to be the biggest deal in video game history, no doubt Microsoft is paying so much for it. But why is the FTC on Microsoft's tail? “Because of the vote taken by the FTC commissioners earlier today, Microsoft is going to have a much harder time completing the acquisition of Activision Blizzard.” - Joe Troyer, CEO & Head of Growth, DigitalTriggers The enforcement of civil antitrust law and the promotion of consumer protection are the main responsibilities of the Federal Trade Commission, an independent agency of the US government. According to information on the organization's , they have been doing that for over 100 years. website The organization has a reputation for battling Big Tech.  Almost the same lawsuit it has with Microsoft now was fought head-on with in the middle of last year. Facebook The FTC aims to prevent Microsoft's acquisition of Activision, according to the agency, by giving the tech behemoth ownership over Activision's most popular video game properties, the $69 billion merger might stifle Xbox competitors. The FTC's lawsuit asserts that the Xbox maker would obtain ownership of major video game properties, giving it the ability to hurt competition in high-performance gaming systems and subscription services by limiting or weakening rivals' access to its well-liked content. “The FTC’s decision not to approve the Microsoft buyout of Activision Blizzard is a significant setback for the company. However, the FTC’s analysis is only one factor that must be considered in any antitrust decision. The key question is whether the proposed acquisition would result in anticompetitive effects. Microsoft has presented a number of arguments in support of the proposed acquisition, and the FTC will now consider these arguments.” - Rick Costa, Houselectric.com The FTC  claims that some of the most well-known video games in the world are produced by Activision and that Microsoft might raise the cost of these games or make it more difficult, if not impossible, to play them on rival platforms. “Microsoft has already shown that it can and will withhold content from its gaming rivals,” Today we seek to stop Microsoft from gaining control over a leading independent game studio and using it to harm competition in multiple dynamic and fast-growing gaming markets.” - Director of the FTC’s Bureau of Competition. Holly Vedova, However, Microsoft claims that the transaction will improve competition and benefits customers. https://twitter.com/BradSmi/status/1600939963377254400?embedable=true The US government agency will go on to give examples of how Microsoft has done in the past with its acquisition of brands and its promises of a better future. Pointing to Microsoft's history with Bethesda, a video game studio it acquired in the FTC said, “Microsoft decided to make several of Bethesda’s titles including Starfield and Redfall Microsoft exclusives despite assurances it had given to European antitrust authorities that it had no incentive to withhold games from rival consoles.” 2021 for $7.5 billion Microsoft has had quite a reputation for making acquisitions and promises, the question is, how much of the FTC concern is justified? What Has Happened To Each Studio Microsoft Has Purchased? In 1999, studios launched in 1995 under the name FASA Interactive Technologies. FASA provided two MechAssault titles for the Xbox when Microsoft first entered the console market. The studio created MechCommander 1 and 2, MechWarrior 4, Mechassault 1 and 2, and other mech-focused games. In order to produce the action arcade flying game Crimson Skies in 2003, it momentarily broke away from walking armor and in 2007, . Microsft bought FASA Microsoft shut it down Remember Halo Wars? It was an offshoot of Microsoft's longest-running video game series, produced by Ensemble. The company was bought by and Halo Wars, which was under production throughout 2006 and 2007, was almost finished when Microsoft decided to shut the studio down. Microsoft in 2001 The list goes on and on. For game studios, being acquired by Microsoft should be advantageous. Now that they are connected to a significant player in the gaming industry, success seems to be assured, doesn't it? But now we see that a company might experience anything from hugely successful games to total oblivion if the experiences of past game development companies that Microsoft acquired give any hint. Somehow, it didn't seem like Microsoft was buying Mojang, the maker of Minecraft, for its own platforms when it paid $2.5 billion for the business in 2014. The popular video game Minecraft is playable on all major platforms, including smartphones. Microsoft has been quite clear that it is not interested in exclusives, and it still says so. previously “Microsoft has entered into a 10-year commitment to bring Call of Duty to __ __following the merger of Microsoft and Activision Blizzard King.  Microsoft is committed to helping bring more games to more people – however, they choose to play. @Nintendo ” @ATVI_AB - Head of Xbox Phil Spencer, But all of a sudden the strategy seems to be focusing on exclusive games. With Bethesda games like Starfield and Elder Scrolls 6 , we can immediately question if the same thing should not be anticipated with Activision Blizzard’s catalog in the future. available only on Xbox Maybe FTC concerns are justified after all. “Ultimately the FTC blocked this acquisition because their mandate is to prevent monopolies, and I agree that it would not be ideal. It’s clear that Microsoft was interested in Activision Blizzard as a way to advance their metaverse efforts, however, the whole idea of the metaverse revolves around the concept of decentralization.” - Colin Fitzpatrick, CEO of Animal Concerts The most well-known and ambitious games from Activision Blizzard, like Call of Duty and Overwatch, have always been accessible on all major platforms, but that may suddenly change. If it does, that means that the upcoming Call of Duty game will be an Xbox exclusive and may not even be released on the PlayStation 5. Microsoft has indicated that it would not back out of the agreement and would fight in court to maintain the acquisition, and Bobby Kotick, Activision’s chief executive supports that motive. “I want to reinforce my confidence that this deal will close, the allegation that this deal is anti-competitive doesn’t align with the facts, and we believe we’ll win this challenge.” - , Vice Chair and President Microsoft. Bobby Kotick Lulu Cheng Meservey, executive vice president of corporate affairs and chief communication officer at Activision Blizzard also thinks FTC doesn’t have a business suing Microsoft. “The FTC’s job is to protect consumers, not competitors, this vote departs from precedent but the law hasn’t changed. Any claim the deal is anticompetitive ignores facts; the deal benefits gamers and the industry, especially given competition from abroad. We look forward to proving our case in court and closing our deal with Microsoft.” - , CCO, Activision Blizzard. Lulu Cheng Meservey Eventually, when (and if) the acquisition of Activision Blizzard is completed, we'll finally see how it all turns out. Is it likely that this deal will be successfully completed, or do you believe there may be obstacles or issues that could prevent it from being finalized?

The Story of Microsoft Buyouts: Why the FTC Won’t Let Them Acquire Activision

La historia de las adquisiciones de Microsoft: por qué la FTC no les permite adquirir Activision

L'histoire des rachats de Microsoft : pourquoi la FTC ne les laissera pas acquérir Activision

माइक्रोसॉफ्ट बायआउट्स की कहानी: एफटीसी उन्हें सक्रियता हासिल करने क्यों नहीं देगा

マイクロソフト買収の話: FTC が Activision の買収を許可しない理由

A história das aquisições da Microsoft: por que a FTC não permite que adquiram a Activision

Câu chuyện mua lại Microsoft: Tại sao FTC không để họ mua lại Activision

微软收购的故事：为什么 FTC 不会让他们收购 Activision

Despite being a longtime lightning rod for controversy, even Twitter employees were caught off-guard by recent events. On April 25, 2022, announced Elon Musk would acquire it in an all-cash deal of about $44 billion. The founder and CEO and self-described “technoking” said he plans to “remake” the social media platform into a beacon of free speech. Twitter Tesla Reactions to Musk’s acquisition of Twitter were mixed on the Blind. Blind’s community of more than 5 million professionals includes more than 5,000 verified Twitter professionals or more than two out of three Twitter employees. professional social network What do Twitter employees think about Elon Musk’s acquisition of Twitter? Many Twitter professionals feared the company culture at Twitter might change after Musk acquires the company. “Assume EM takes over Twitter and rules with [an] iron fist,” said a verified Twitter employee on Blind, referring to Elon Musk in a discussion about the future of at Twitter. “On one hand he seems [like a] huge advocate for in person [work] but on [the] other hand he jokes about turning [the] SF office [in]to a homeless shelter because employees are at home.” remote work “Elon is notorious for firing WFH and contractors,” reported a verified SpaceX professional. “He’s went as far as to pull the plug on VPN before,” referring to virtual private networks that allow employees to connect to corporate networks while working from home or remotely. Musk is also the founder and CEO of SpaceX. Twitter is well-known for its strong work-life balance. The company has a rating of 4.4 stars out of 5 stars for work-life balance, as of April 26, 2022, among verified Twitter employees’ reviews on Blind. The rating makes it the 10th best company for work-life balance on Blind, ahead of companies such as Amazon, Apple, Facebook parent company Meta, Microsoft and Uber. How will Elon Musk’s acquisition affect Twitter employees’ pay? Musk’s acquisition of Twitter is expected to close in 2022, and once it does, the social media company will become a private company. Many Twitter professionals expressed concern about the stock-based compensation they currently receive. “I feel like going from public [to] private is [the] opposite of what you want from a comp perspective,” a verified Twitter professional said on Blind, adding they felt “pretty stressed” about the acquisition. “If comp is negative[ly] [a]ffected then we’ll lose a lot of great talent and any incentive for working at Twitter will be gone.” Some private companies offer restricted stock units or profit-sharing programs. However, many of these companies provide these compensation schemes because they expect to be publicly listed one day, which is unlikely for Twitter. The change could be significant for Twitter professionals. According to pay data shared on Blind by verified Twitter professionals, the median total compensation package across all roles is $165,000 and as high as $345,000, including the restricted stock units many employees earn. “I am pretty depressed,” another verified Twitter professional said in a discussion on Blind about the employee morale at Twitter. “I think layoffs are inevitable, plus being a private company means we won’t have RSU re freshers [sic].” Many offer “refreshes” or additional grants of restricted stock units or other stock-based compensation to reward performance or incentivize employees to stay at the company longer. Professionals typically earn an initial new-hire grant that vests anywhere from one to five years, with four years the most common. technology companies How much will Twitter employees get from Elon Musk’s acquisition? Every Twitter stockholder will receive $54.20 in cash for each share of Twitter common stock they own after the acquisition is finalized. Twitter employees who own Twitter stock will receive the same cash payment. According to a verified Twitter engineer on Blind, the company will also pay employees for any unvested stock they hold “as per [the] vesting schedule. Cash compensation would be provided instead of stocks.” After the companywide all-hands for employees, another verified Twitter professional confirmed, adding that the $54.20 per share amount “is a big jump from [the] last refresher” and that there will be “no comp changes for one year.” The bottom line Elon Musk’s acquisition of Twitter has created fear, uncertainty and doubt for many Twitter professionals. Twitter employees turned to Blind to express concerns about their pay and a potential change to its company culture, which could affect the ability to work remotely or have a meaningful work-life balance. Originally published on Teamblind's blog.

Twitter Employees Fear Elon Musk's Takeover Will Ruin Company Culture

Los empleados de Twitter temen que la adquisición de Elon Musk arruine la cultura de la empresa

Les employés de Twitter craignent que le rachat d'Elon Musk ne ruine la culture d'entreprise

ट्विटर कर्मचारियों को डर है कि एलोन मस्क का अधिग्रहण कंपनी की संस्कृति को बर्बाद कर देगा

Twitterの従業員は、Elon Muskの買収が企業文化を台無しにするのではないかと恐れています

Funcionários do Twitter temem que a aquisição de Elon Musk arruine a cultura da empresa

Nhân viên Twitter lo sợ sự tiếp quản của Elon Musk sẽ hủy hoại văn hóa công ty

Twitter员工担心埃隆马斯克的收购会破坏公司文化

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