PROTECT3D

protect3d

The Center for Investigative Reporting Inc. v. OpenAI Court Filing, retrieved on June 27, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 6 of 18. DEFENDANTS’ UNAUTHORIZED REGURGITATION OF COPYRIGHTPROTECTED WORKS OF JOURNALISM 76. ChatGPT and Copilot provide responses to questions or other prompts. Their ability to provide these responses is the key value proposition of Defendants’ products, which they are able to sell to their customers for enormous sums of money, soon likely to be in the billions of dollars. 77. To train ChatGPT, the OpenAI Defendants retain users’ chat histories with ChatGPT unless the user takes the affirmative step of disabling that feature.[12] Thus, the OpenAI Defendants possess a repository of every regurgitation of Plaintiff’s works apart from those whose storage users have affirmatively disabled. 78. At least some of the time, ChatGPT and Copilot provide or have provided responses to users that regurgitate verbatim or nearly verbatim copyright-protected works of journalism without providing author, title, copyright, or terms of use information contained in those works. Examples of such regurgitations are included in Exhibit J to the Complaint in Daily News, LP v. Microsoft Corporation, No. 24-cv-03285 (S.D.N.Y. Apr. 30, 2024). 79. At least some of the time, ChatGPT and Copilot provide or have provided responses to users that mimic significant amounts of material from copyright-protected works of journalism without providing any author, title, copyright, or terms of use information contained in those works. For example, if a user asks ChatGPT or Copilot about a current event or the results of a work of investigative journalism, ChatGPT or Copilot will provide responses that mimic copyright-protected works of journalism that covered those events, not responses that are based on any journalism efforts by Defendants. 80. At least some of the time, ChatGPT memorizes and regurgitates material. The OpenAI Defendants have publicly admitted their knowledge of this fact.[13] The OpenAI Defendants have also effectively admitted that regurgitation of copyrighted works is infringement: when Plaintiff attempted to obtain the same regurgitations set forth in the Daily News case using the same methodology, Plaintiff received in one instance a message stating, “I’m sorry, but I can’t generate the original ending for the article or any copyrighted content.” Thus, upon information and belief, the OpenAI Defendants have recently changed ChatGPT to reduce regurgitations for copyright reasons. 81. Nonetheless, ChatGPT has produced regurgitations of Plaintiff’s copyrightprotected works. Examples of three such regurgitations, along with the prompts that generated them, are attached as Exhibit 7. 82. Such memorization and regurgitation constitute unauthorized copies or derivative works of the Plaintiff’s work. Defendants directly engage in the unauthorized public display of CIR’s articles as part of generative output provided by their products built on the GPT models. Continue Reading Here. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings.
This court case retrieved on June 27, 2024, motherjones.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. [12] New ways to manage your data in ChatGPT (Apr. 25, 2023), https://openai.com/index/newways-to-manage-your-data-in-chatgpt/. [13] OpenAI and journalism (Jan. 8, 2024), https://openai.com/index/openai-and-journalism/. The Center for Investigative Reporting Inc. v. OpenAI Court Filing, retrieved on June 27, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 6 of 18. The Center for Investigative Reporting Inc. v. OpenAI Court Filing, retrieved on June 27, 2024, is part of HackerNoon’s Legal PDF Series . You can jump to any part in this filing here . This part is 6 of 18. HackerNoon’s Legal PDF Series here DEFENDANTS’ UNAUTHORIZED REGURGITATION OF COPYRIGHTPROTECTED WORKS OF JOURNALISM 76. ChatGPT and Copilot provide responses to questions or other prompts. Their ability to provide these responses is the key value proposition of Defendants’ products, which they are able to sell to their customers for enormous sums of money, soon likely to be in the billions of dollars. 77. To train ChatGPT, the OpenAI Defendants retain users’ chat histories with ChatGPT unless the user takes the affirmative step of disabling that feature.[12] Thus, the OpenAI Defendants possess a repository of every regurgitation of Plaintiff’s works apart from those whose storage users have affirmatively disabled. 78. At least some of the time, ChatGPT and Copilot provide or have provided responses to users that regurgitate verbatim or nearly verbatim copyright-protected works of journalism without providing author, title, copyright, or terms of use information contained in those works. Examples of such regurgitations are included in Exhibit J to the Complaint in Daily News, LP v. Microsoft Corporation, No. 24-cv-03285 (S.D.N.Y. Apr. 30, 2024). 79. At least some of the time, ChatGPT and Copilot provide or have provided responses to users that mimic significant amounts of material from copyright-protected works of journalism without providing any author, title, copyright, or terms of use information contained in those works. For example, if a user asks ChatGPT or Copilot about a current event or the results of a work of investigative journalism, ChatGPT or Copilot will provide responses that mimic copyright-protected works of journalism that covered those events, not responses that are based on any journalism efforts by Defendants. 80. At least some of the time, ChatGPT memorizes and regurgitates material. The OpenAI Defendants have publicly admitted their knowledge of this fact.[13] The OpenAI Defendants have also effectively admitted that regurgitation of copyrighted works is infringement: when Plaintiff attempted to obtain the same regurgitations set forth in the Daily News case using the same methodology, Plaintiff received in one instance a message stating, “I’m sorry, but I can’t generate the original ending for the article or any copyrighted content.” Thus, upon information and belief, the OpenAI Defendants have recently changed ChatGPT to reduce regurgitations for copyright reasons. 81. Nonetheless, ChatGPT has produced regurgitations of Plaintiff’s copyrightprotected works. Examples of three such regurgitations, along with the prompts that generated them, are attached as Exhibit 7. 82. Such memorization and regurgitation constitute unauthorized copies or derivative works of the Plaintiff’s work. Defendants directly engage in the unauthorized public display of CIR’s articles as part of generative output provided by their products built on the GPT models. Continue Reading Here. Continue Reading Here . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on June 27, 2024, motherjones.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on June 27, 2024, motherjones.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. motherjones.com [12] New ways to manage your data in ChatGPT (Apr. 25, 2023), https://openai.com/index/newways-to-manage-your-data-in-chatgpt/. [13] OpenAI and journalism (Jan. 8, 2024), https://openai.com/index/openai-and-journalism/.

OpenAI’s Unauthorized Regurgitation of Copyright-Protected Works of Journalism

In a market as volatile as crypto, features such as stability and price protection of some sort could be very welcome for all users. They’re not always available, though, let alone if you’re looking to earn some rewards. Luckily, the token LINE deployed on the Kava network and connected to Obyte is offering this opportunity to everyone. LINE operates as a price-protected digital asset, designed to safeguard your investment through a unique borrowing system deployed on Kava. Users can acquire LINE tokens by locking up an equivalent value of GBYTE (Obyte native currency) collateral through linetoken.org. Then, if the price of LINE tokens rises, users can profitably sell them on the same platform and settle their loans. Conversely, if the price decreases, users can repay the loan with their LINE tokens and retrieve their GBYTE collateral, minus fees, ensuring that their principal investment remains almost intact. The price of LINE tokens is determined by market dynamics, and to stabilize it, mechanisms such as interest rate adjustments and origination fees are employed. Additionally, it’s important to note that LINE token loans have their own market as put options. They’re financial contracts that give the holder the right, but not the obligation, to sell a certain number of tokens at a predetermined price (known as the strike price) within a specified period. In this case, if you borrow LINE tokens with collateral, you get as well your put option in the form of a Non-Fungible Token (NFT) that can be freely traded. On the other hand, if you buy LINE tokens directly (without collateral) or sell your NFT-loan to make a profit, you’ll lose the feature of price protection. Kava Rise Program LINE was designed to work in tandem with the Counterstake Bridge in Obyte and the Kava Rise Program to offer rewards to its users. The Kava Rise Program serves as an initiative by Kava to incentivize decentralized applications (Dapps) operating on its network by rewarding their developers based on their Total Value Locked (TVL) —a measure of the total funds held within a DeFi protocol. Participating Dapps, including Counterstake and LINE, are eligible to receive a portion of the monthly rewards, amounting to 1,000,000 KAVA tokens (around $1 million), distributed in proportion to the TVL they generate on Kava. This setup creates an incentive structure where Dapps are prized for attracting and retaining users, fostering growth within the Kava ecosystem. ** ** Obyte is distributing 90% of the rewards acquired from the Kava Rise Program to participating users (50% since June). Anyone can leverage the LINE token by borrowing it against GBYTE collateral and bridging it to the Obyte network through Counterstake. Holding LINE tokens in Obyte wallets automatically qualifies users for a share of the Kava Rise rewards, proportional to twice their LINE balances. This mechanism not only encourages participation but also provides a means for users to earn rewards while minimizing risk, as the price-protected nature of the LINE token ensures that users can manage potential price fluctuations effectively. Currently, the Annual Percentage Yield (APY) of this method is around 60% (see kava.obyte.org for the actual rate). How to Use LINE to earn rewards? Besides trading with the tokens and the NFT-loans (in the “Market” section on the official webpage), you can take advantage of the Kava Rise Program or offer liquidity to its pools on Equilibre DEX. In the first case, you’ll need to use the Counterstake Bridge to move the assets across Kava and Obyte. ** ** You can follow some simple steps: Bridge your GBYTEs from Obyte to Kava using Counterstake.


Utilize your GBYTE-on-Kava to borrow LINE tokens from linetoken.org.


Bridge the borrowed LINE tokens back to your Obyte wallet using Counterstake.


Hold your LINE tokens in your Obyte wallet to automatically qualify for a share of the Kava Rise rewards, distributed monthly based on your LINE token holdings. You'll receive your rewards directly to your Obyte wallet without any additional steps required.


To reclaim your collateral, bridge your LINE tokens back to Kava, repay the loan on linetoken.org, and bridge the received GBYTEs back to Obyte. Alternatively, if the LINE token price has increased since you opened the loan, you can sell your LINE tokens on the market for a potentially higher return. In the second case, by providing liquidity to select pools trading LINE tokens, you can earn rewards in LINE tokens. Simply stake your LP (liquidity provider) tokens on the staking page to start earning rewards. ** ** Additionally, you have the option to stake your LINE tokens directly to receive a share of rewards. These rewards are sourced from fees collected from borrowers and are distributed to participants based on their contributions to liquidity. The staking section is available on the website. This way, LINE presents as a potentially profitable investment. Whether earning rewards through the Kava Rise program, leveraging liquidity provision for additional income, or simply holding LINE tokens for potential appreciation, users have diverse avenues to maximize their earnings while contributing to the growth of the LINE ecosystem. Featured Vector Image by vectorjuice / Freepik In a market as volatile as crypto, features such as stability and price protection of some sort could be very welcome for all users. They’re not always available, though, let alone if you’re looking to earn some rewards. Luckily, the token LINE deployed on the Kava network and connected to Obyte is offering this opportunity to everyone. LINE operates as a price-protected digital asset, designed to safeguard your investment through a unique borrowing system deployed on Kava. Users can acquire LINE tokens by locking up an equivalent value of GBYTE (Obyte native currency) collateral through linetoken.org. LINE operates as a price-protected digital asset, designed to safeguard your investment through a unique borrowing system deployed on Kava. LINE LINE Then, if the price of LINE tokens rises, users can profitably sell them on the same platform and settle their loans. Conversely, if the price decreases, users can repay the loan with their LINE tokens and retrieve their GBYTE collateral, minus fees, ensuring that their principal investment remains almost intact. The price of LINE tokens is determined by market dynamics, and to stabilize it, mechanisms such as interest rate adjustments and origination fees are employed. Additionally, it’s important to note that LINE token loans have their own market as put options. They’re financial contracts that give the holder the right, but not the obligation, to sell a certain number of tokens at a predetermined price (known as the strike price) within a specified period. In this case, if you borrow LINE tokens with collateral, you get as well your put option in the form of a Non-Fungible Token (NFT) that can be freely traded. Non-Fungible Token Non-Fungible Token On the other hand, if you buy LINE tokens directly (without collateral) or sell your NFT-loan to make a profit, you’ll lose the feature of price protection. Kava Rise Program Kava Rise Program LINE was designed to work in tandem with the Counterstake Bridge in Obyte and the Kava Rise Program to offer rewards to its users. The Kava Rise Program serves as an initiative by Kava to incentivize decentralized applications (Dapps) operating on its network by rewarding their developers based on their Total Value Locked (TVL) —a measure of the total funds held within a DeFi protocol. Kava Rise Program Kava Rise Program Participating Dapps, including Counterstake and LINE, are eligible to receive a portion of the monthly rewards, amounting to 1,000,000 KAVA tokens (around $1 million), distributed in proportion to the TVL they generate on Kava. This setup creates an incentive structure where Dapps are prized for attracting and retaining users, fostering growth within the Kava ecosystem. Participating Dapps, including Counterstake and LINE, are eligible to receive a portion of the monthly rewards, amounting to 1,000,000 KAVA tokens (around $1 million), Counterstake Counterstake ** ** Obyte is distributing 90% of the rewards acquired from the Kava Rise Program to participating users (50% since June). Anyone can leverage the LINE token by borrowing it against GBYTE collateral and bridging it to the Obyte network through Counterstake. Holding LINE tokens in Obyte wallets automatically qualifies users for a share of the Kava Rise rewards, proportional to twice their LINE balances. This mechanism not only encourages participation but also provides a means for users to earn rewards while minimizing risk, as the price-protected nature of the LINE token ensures that users can manage potential price fluctuations effectively. Currently, the Annual Percentage Yield (APY) of this method is around 60% (see kava.obyte.org for the actual rate). kava.obyte.org kava.obyte.org How to Use LINE to earn rewards? Besides trading with the tokens and the NFT-loans (in the “Market” section on the official webpage), you can take advantage of the Kava Rise Program or offer liquidity to its pools on Equilibre DEX. In the first case, you’ll need to use the Counterstake Bridge to move the assets across Kava and Obyte . “Market” “Market” Obyte Obyte ** ** You can follow some simple steps: Bridge your GBYTEs from Obyte to Kava using Counterstake. Utilize your GBYTE-on-Kava to borrow LINE tokens from linetoken.org. Bridge the borrowed LINE tokens back to your Obyte wallet using Counterstake. Hold your LINE tokens in your Obyte wallet to automatically qualify for a share of the Kava Rise rewards, distributed monthly based on your LINE token holdings. You'll receive your rewards directly to your Obyte wallet without any additional steps required. To reclaim your collateral, bridge your LINE tokens back to Kava, repay the loan on linetoken.org, and bridge the received GBYTEs back to Obyte. Alternatively, if the LINE token price has increased since you opened the loan, you can sell your LINE tokens on the market for a potentially higher return. Bridge your GBYTEs from Obyte to Kava using Counterstake. Bridge your GBYTEs from Obyte to Kava using Counterstake . Counterstake Counterstake Utilize your GBYTE-on-Kava to borrow LINE tokens from linetoken.org. Utilize your GBYTE-on-Kava to borrow LINE tokens from linetoken.org . linetoken.org linetoken.org Bridge the borrowed LINE tokens back to your Obyte wallet using Counterstake. Bridge the borrowed LINE tokens back to your Obyte wallet using Counterstake. Hold your LINE tokens in your Obyte wallet to automatically qualify for a share of the Kava Rise rewards, distributed monthly based on your LINE token holdings. You'll receive your rewards directly to your Obyte wallet without any additional steps required. Hold your LINE tokens in your Obyte wallet to automatically qualify for a share of the Kava Rise rewards, distributed monthly based on your LINE token holdings. You'll receive your rewards directly to your Obyte wallet without any additional steps required. Hold your LINE tokens in your Obyte wallet to automatically qualify for a share of the Kava Rise rewards, distributed monthly based on your LINE token holdings. To reclaim your collateral, bridge your LINE tokens back to Kava, repay the loan on linetoken.org, and bridge the received GBYTEs back to Obyte. Alternatively, if the LINE token price has increased since you opened the loan, you can sell your LINE tokens on the market for a potentially higher return. To reclaim your collateral, bridge your LINE tokens back to Kava, repay the loan on linetoken.org, and bridge the received GBYTEs back to Obyte. Alternatively, if the LINE token price has increased since you opened the loan, you can sell your LINE tokens on the market for a potentially higher return. In the second case, by providing liquidity to select pools trading LINE tokens, you can earn rewards in LINE tokens. Simply stake your LP (liquidity provider) tokens on the staking page to start earning rewards. staking page staking page ** ** Additionally, you have the option to stake your LINE tokens directly to receive a share of rewards. These rewards are sourced from fees collected from borrowers and are distributed to participants based on their contributions to liquidity. The staking section is available on the website. This way, LINE presents as a potentially profitable investment. Whether earning rewards through the Kava Rise program, leveraging liquidity provision for additional income, or simply holding LINE tokens for potential appreciation, users have diverse avenues to maximize their earnings while contributing to the growth of the LINE ecosystem. LINE LINE Featured Vector Image by vectorjuice / Freepik Featured Vector Image by vectorjuice / Freepik Freepik Freepik

Educational Byte: What is the Price-Protected Token LINE?

শিক্ষাগত বাইট: মূল্য-সুরক্ষিত টোকেন লাইন কি?

Bildungsbyte: Was ist der preisgeschützte Token LINE?

Byte educativo: ¿Qué es el token LINE con precio protegido?

Octet éducatif : qu'est-ce que la LIGNE de jetons à prix protégé ?

शैक्षिक बाइट: मूल्य-संरक्षित टोकन लाइन क्या है?

教育バイト: 価格保護トークン LINE とは何ですか?

교육 바이트: 가격 보호 토큰 LINE이란 무엇입니까?

Byte Educacional: O que é a LINHA de Token Protegido por Preço?

Образовательный байт: что такое защищенный от цены токен LINE?

Eğitim Baytı: Fiyat Korumalı Token HATTI Nedir?

Byte giáo dục: LINE Token được bảo vệ bằng giá là gì?

教育字节：什么是价格保护代币 LINE？

Quartz is an open-source Java job scheduling framework that provides powerful capabilities for scheduling tasks. In DolphinScheduler, Quartz is used to implement task scheduling and management. DolphinScheduler integrates with Quartz through the QuartzExecutorImpl class, combining workflow and schedule management operations with Quartz's scheduling framework to achieve task execution. This article provides a detailed analysis of Quartz's principles and implementation within DolphinScheduler. Quartz Entity-Relationship Diagram QRTZ_JOB_DETAILS and QRTZ_TRIGGERS are the central tables, defining the relationship between jobs and triggers.


The QRTZ_TRIGGERS table links with multiple trigger-type tables, such as QRTZ_SIMPLE_TRIGGERS and QRTZ_CRON_TRIGGERS, to enable different trigger mechanisms.


QRTZ_FIRED_TRIGGERS records execution history, associating with both the job and trigger tables.


QRTZ_CALENDARS defines calendar exclusion rules for triggers, while QRTZ_PAUSED_TRIGGER_GRPS manages the pause state of trigger groups.


QRTZ_SCHEDULER_STATE and QRTZ_LOCKS are used for scheduling coordination in clustered environments, ensuring high availability. Quartz in DolphinScheduler We will focus on the principle analysis of the use of quartz in DolphinScheduler, so the steps for using quartz in DolphinScheduler will be introduced briefly. Generally speaking, there are 4 steps: Creating a New SHELL Task
Defining and Configuring Workflow Scheduling
Scheduling Activation
Workflow Instance Execution Principle Analysis Creating a Schedule org.apache.dolphinscheduler.api.controller.SchedulerController#createSchedule  
--org.apache.dolphinscheduler.api.service.impl.SchedulerServiceImpl#insertSchedule  
...  
Schedule scheduleObj = new Schedule();  
Date now = new Date();  
scheduleObj.setTenantCode(tenantCode);  
scheduleObj.setProjectName(project.getName());  
scheduleObj.setProcessDefinitionCode(processDefineCode);  
scheduleObj.setProcessDefinitionName(processDefinition.getName());  
ScheduleParam scheduleParam = JSONUtils.parseObject(schedule, ScheduleParam.class);  
scheduleObj.setCrontab(scheduleParam.getCrontab());  
scheduleObj.setTimezoneId(scheduleParam.getTimezoneId());  
scheduleObj.setWarningType(warningType);  
scheduleObj.setWarningGroupId(warningGroupId);  
scheduleObj.setFailureStrategy(failureStrategy);  
scheduleObj.setCreateTime(now);  
scheduleObj.setUpdateTime(now);  
scheduleObj.setUserId(loginUser.getId());  
scheduleObj.setUserName(loginUser.getUserName());  
scheduleObj.setReleaseState(ReleaseState.OFFLINE);  
scheduleObj.setProcessInstancePriority(processInstancePriority);  
scheduleObj.setWorkerGroup(workerGroup);  
scheduleObj.setEnvironmentCode(environmentCode);  
scheduleMapper.insert(scheduleObj);  
... At its core, this operation inserts a new entry into the schedule table, as shown below: Activating a Schedule org.apache.dolphinscheduler.api.controller.SchedulerController#publishScheduleOnline  
--org.apache.dolphinscheduler.api.service.impl.SchedulerServiceImpl#onlineScheduler  
----org.apache.dolphinscheduler.api.service.impl.SchedulerServiceImpl#doOnlineScheduler  
------org.apache.dolphinscheduler.scheduler.quartz.QuartzScheduler#insertOrUpdateScheduleTask  

// Simplified code:  
JobKey jobKey = QuartzTaskUtils.getJobKey(schedule.getId(), projectId);  
Map<String, Object> jobDataMap = QuartzTaskUtils.buildDataMap(projectId, schedule);  
String cronExpression = schedule.getCrontab();  
String timezoneId = schedule.getTimezoneId();  

Date startDate = DateUtils.transformTimezoneDate(schedule.getStartTime(), timezoneId);  
Date endDate = DateUtils.transformTimezoneDate(schedule.getEndTime(), timezoneId);  
JobDetail jobDetail = newJob(ProcessScheduleTask.class).withIdentity(jobKey).build();  
jobDetail.getJobDataMap().putAll(jobDataMap);  
scheduler.addJob(jobDetail, false, true);  

TriggerKey triggerKey = new TriggerKey(jobKey.getName(), jobKey.getGroup());  
CronTrigger cronTrigger = newTrigger()  
                    .withIdentity(triggerKey)  
                    .startAt(startDate)  
                    .endAt(endDate)  
                    .withSchedule(  
                            cronSchedule(cronExpression)  
                                    .withMisfireHandlingInstructionIgnoreMisfires()  
                                    .inTimeZone(DateUtils.getTimezone(timezoneId)))  
                    .forJob(jobDetail).build();  

scheduler.scheduleJob(cronTrigger); Related Tables Job Details Table: Stores detailed information about each task. Trigger Base Table: Stores basic information for all trigger types. Cron Trigger Table: Stores information about Cron expression triggers. Schedule Execution org.apache.dolphinscheduler.scheduler.quartz.ProcessScheduleTask

protected void executeInternal(JobExecutionContext context) {  
    JobDataMap dataMap = context.getJobDetail().getJobDataMap();  
    int projectId = dataMap.getInt(QuartzTaskUtils.PROJECT_ID);  
    int scheduleId = dataMap.getInt(QuartzTaskUtils.SCHEDULE_ID);  

    Date scheduledFireTime = context.getScheduledFireTime();  
    Date fireTime = context.getFireTime();  

    Command command = new Command();  
    command.setCommandType(CommandType.SCHEDULER);  
    command.setExecutorId(schedule.getUserId());  
    command.setFailureStrategy(schedule.getFailureStrategy());  
    command.setProcessDefinitionCode(schedule.getProcessDefinitionCode());  
    command.setScheduleTime(scheduledFireTime);  
    command.setStartTime(fireTime);  
    command.setWarningGroupId(schedule.getWarningGroupId());  
    String workerGroup = StringUtils.isEmpty(schedule.getWorkerGroup()) ? Constants.DEFAULT_WORKER_GROUP  
            : schedule.getWorkerGroup();  
    command.setWorkerGroup(workerGroup);  
    command.setTenantCode(schedule.getTenantCode());  
    command.setEnvironmentCode(schedule.getEnvironmentCode());  
    command.setWarningType(schedule.getWarningType());  
    command.setProcessInstancePriority(schedule.getProcessInstancePriority());  
    command.setProcessDefinitionVersion(processDefinition.getVersion());  

    commandService.createCommand(command);  
} Essentially, this is a callback function in Quartz that ultimately generates a Command. Quartz is an open-source Java job scheduling framework that provides powerful capabilities for scheduling tasks. In DolphinScheduler, Quartz is used to implement task scheduling and management. DolphinScheduler integrates with Quartz through the QuartzExecutorImpl class, combining workflow and schedule management operations with Quartz's scheduling framework to achieve task execution. QuartzExecutorImpl This article provides a detailed analysis of Quartz's principles and implementation within DolphinScheduler. Quartz Entity-Relationship Diagram QRTZ_JOB_DETAILS and QRTZ_TRIGGERS are the central tables, defining the relationship between jobs and triggers. The QRTZ_TRIGGERS table links with multiple trigger-type tables, such as QRTZ_SIMPLE_TRIGGERS and QRTZ_CRON_TRIGGERS, to enable different trigger mechanisms. QRTZ_FIRED_TRIGGERS records execution history, associating with both the job and trigger tables. QRTZ_CALENDARS defines calendar exclusion rules for triggers, while QRTZ_PAUSED_TRIGGER_GRPS manages the pause state of trigger groups. QRTZ_SCHEDULER_STATE and QRTZ_LOCKS are used for scheduling coordination in clustered environments, ensuring high availability. QRTZ_JOB_DETAILS and QRTZ_TRIGGERS are the central tables, defining the relationship between jobs and triggers. QRTZ_JOB_DETAILS and QRTZ_TRIGGERS are the central tables, defining the relationship between jobs and triggers. QRTZ_JOB_DETAILS QRTZ_TRIGGERS The QRTZ_TRIGGERS table links with multiple trigger-type tables, such as QRTZ_SIMPLE_TRIGGERS and QRTZ_CRON_TRIGGERS, to enable different trigger mechanisms. The QRTZ_TRIGGERS table links with multiple trigger-type tables, such as QRTZ_SIMPLE_TRIGGERS and QRTZ_CRON_TRIGGERS , to enable different trigger mechanisms. QRTZ_TRIGGERS QRTZ_SIMPLE_TRIGGERS QRTZ_CRON_TRIGGERS QRTZ_FIRED_TRIGGERS records execution history, associating with both the job and trigger tables. QRTZ_FIRED_TRIGGERS records execution history, associating with both the job and trigger tables. QRTZ_FIRED_TRIGGERS QRTZ_CALENDARS defines calendar exclusion rules for triggers, while QRTZ_PAUSED_TRIGGER_GRPS manages the pause state of trigger groups. QRTZ_CALENDARS defines calendar exclusion rules for triggers, while QRTZ_PAUSED_TRIGGER_GRPS manages the pause state of trigger groups. QRTZ_CALENDARS QRTZ_PAUSED_TRIGGER_GRPS QRTZ_SCHEDULER_STATE and QRTZ_LOCKS are used for scheduling coordination in clustered environments, ensuring high availability. QRTZ_SCHEDULER_STATE and QRTZ_LOCKS are used for scheduling coordination in clustered environments, ensuring high availability. QRTZ_SCHEDULER_STATE QRTZ_LOCKS Quartz in DolphinScheduler We will focus on the principle analysis of the use of quartz in DolphinScheduler, so the steps for using quartz in DolphinScheduler will be introduced briefly. Generally speaking, there are 4 steps: Creating a New SHELL Task Defining and Configuring Workflow Scheduling Scheduling Activation Workflow Instance Execution Creating a New SHELL Task Defining and Configuring Workflow Scheduling Scheduling Activation Workflow Instance Execution Principle Analysis Creating a Schedule org.apache.dolphinscheduler.api.controller.SchedulerController#createSchedule  
--org.apache.dolphinscheduler.api.service.impl.SchedulerServiceImpl#insertSchedule  
...  
Schedule scheduleObj = new Schedule();  
Date now = new Date();  
scheduleObj.setTenantCode(tenantCode);  
scheduleObj.setProjectName(project.getName());  
scheduleObj.setProcessDefinitionCode(processDefineCode);  
scheduleObj.setProcessDefinitionName(processDefinition.getName());  
ScheduleParam scheduleParam = JSONUtils.parseObject(schedule, ScheduleParam.class);  
scheduleObj.setCrontab(scheduleParam.getCrontab());  
scheduleObj.setTimezoneId(scheduleParam.getTimezoneId());  
scheduleObj.setWarningType(warningType);  
scheduleObj.setWarningGroupId(warningGroupId);  
scheduleObj.setFailureStrategy(failureStrategy);  
scheduleObj.setCreateTime(now);  
scheduleObj.setUpdateTime(now);  
scheduleObj.setUserId(loginUser.getId());  
scheduleObj.setUserName(loginUser.getUserName());  
scheduleObj.setReleaseState(ReleaseState.OFFLINE);  
scheduleObj.setProcessInstancePriority(processInstancePriority);  
scheduleObj.setWorkerGroup(workerGroup);  
scheduleObj.setEnvironmentCode(environmentCode);  
scheduleMapper.insert(scheduleObj);  
... org.apache.dolphinscheduler.api.controller.SchedulerController#createSchedule  
--org.apache.dolphinscheduler.api.service.impl.SchedulerServiceImpl#insertSchedule  
...  
Schedule scheduleObj = new Schedule();  
Date now = new Date();  
scheduleObj.setTenantCode(tenantCode);  
scheduleObj.setProjectName(project.getName());  
scheduleObj.setProcessDefinitionCode(processDefineCode);  
scheduleObj.setProcessDefinitionName(processDefinition.getName());  
ScheduleParam scheduleParam = JSONUtils.parseObject(schedule, ScheduleParam.class);  
scheduleObj.setCrontab(scheduleParam.getCrontab());  
scheduleObj.setTimezoneId(scheduleParam.getTimezoneId());  
scheduleObj.setWarningType(warningType);  
scheduleObj.setWarningGroupId(warningGroupId);  
scheduleObj.setFailureStrategy(failureStrategy);  
scheduleObj.setCreateTime(now);  
scheduleObj.setUpdateTime(now);  
scheduleObj.setUserId(loginUser.getId());  
scheduleObj.setUserName(loginUser.getUserName());  
scheduleObj.setReleaseState(ReleaseState.OFFLINE);  
scheduleObj.setProcessInstancePriority(processInstancePriority);  
scheduleObj.setWorkerGroup(workerGroup);  
scheduleObj.setEnvironmentCode(environmentCode);  
scheduleMapper.insert(scheduleObj);  
... At its core, this operation inserts a new entry into the schedule table, as shown below: schedule Activating a Schedule org.apache.dolphinscheduler.api.controller.SchedulerController#publishScheduleOnline  
--org.apache.dolphinscheduler.api.service.impl.SchedulerServiceImpl#onlineScheduler  
----org.apache.dolphinscheduler.api.service.impl.SchedulerServiceImpl#doOnlineScheduler  
------org.apache.dolphinscheduler.scheduler.quartz.QuartzScheduler#insertOrUpdateScheduleTask  

// Simplified code:  
JobKey jobKey = QuartzTaskUtils.getJobKey(schedule.getId(), projectId);  
Map<String, Object> jobDataMap = QuartzTaskUtils.buildDataMap(projectId, schedule);  
String cronExpression = schedule.getCrontab();  
String timezoneId = schedule.getTimezoneId();  

Date startDate = DateUtils.transformTimezoneDate(schedule.getStartTime(), timezoneId);  
Date endDate = DateUtils.transformTimezoneDate(schedule.getEndTime(), timezoneId);  
JobDetail jobDetail = newJob(ProcessScheduleTask.class).withIdentity(jobKey).build();  
jobDetail.getJobDataMap().putAll(jobDataMap);  
scheduler.addJob(jobDetail, false, true);  

TriggerKey triggerKey = new TriggerKey(jobKey.getName(), jobKey.getGroup());  
CronTrigger cronTrigger = newTrigger()  
                    .withIdentity(triggerKey)  
                    .startAt(startDate)  
                    .endAt(endDate)  
                    .withSchedule(  
                            cronSchedule(cronExpression)  
                                    .withMisfireHandlingInstructionIgnoreMisfires()  
                                    .inTimeZone(DateUtils.getTimezone(timezoneId)))  
                    .forJob(jobDetail).build();  

scheduler.scheduleJob(cronTrigger); org.apache.dolphinscheduler.api.controller.SchedulerController#publishScheduleOnline  
--org.apache.dolphinscheduler.api.service.impl.SchedulerServiceImpl#onlineScheduler  
----org.apache.dolphinscheduler.api.service.impl.SchedulerServiceImpl#doOnlineScheduler  
------org.apache.dolphinscheduler.scheduler.quartz.QuartzScheduler#insertOrUpdateScheduleTask  

// Simplified code:  
JobKey jobKey = QuartzTaskUtils.getJobKey(schedule.getId(), projectId);  
Map<String, Object> jobDataMap = QuartzTaskUtils.buildDataMap(projectId, schedule);  
String cronExpression = schedule.getCrontab();  
String timezoneId = schedule.getTimezoneId();  

Date startDate = DateUtils.transformTimezoneDate(schedule.getStartTime(), timezoneId);  
Date endDate = DateUtils.transformTimezoneDate(schedule.getEndTime(), timezoneId);  
JobDetail jobDetail = newJob(ProcessScheduleTask.class).withIdentity(jobKey).build();  
jobDetail.getJobDataMap().putAll(jobDataMap);  
scheduler.addJob(jobDetail, false, true);  

TriggerKey triggerKey = new TriggerKey(jobKey.getName(), jobKey.getGroup());  
CronTrigger cronTrigger = newTrigger()  
                    .withIdentity(triggerKey)  
                    .startAt(startDate)  
                    .endAt(endDate)  
                    .withSchedule(  
                            cronSchedule(cronExpression)  
                                    .withMisfireHandlingInstructionIgnoreMisfires()  
                                    .inTimeZone(DateUtils.getTimezone(timezoneId)))  
                    .forJob(jobDetail).build();  

scheduler.scheduleJob(cronTrigger); Related Tables Job Details Table: Stores detailed information about each task. Job Details Table: Trigger Base Table: Stores basic information for all trigger types. Trigger Base Table: Cron Trigger Table: Stores information about Cron expression triggers. Cron Trigger Table: Schedule Execution org.apache.dolphinscheduler.scheduler.quartz.ProcessScheduleTask

protected void executeInternal(JobExecutionContext context) {  
    JobDataMap dataMap = context.getJobDetail().getJobDataMap();  
    int projectId = dataMap.getInt(QuartzTaskUtils.PROJECT_ID);  
    int scheduleId = dataMap.getInt(QuartzTaskUtils.SCHEDULE_ID);  

    Date scheduledFireTime = context.getScheduledFireTime();  
    Date fireTime = context.getFireTime();  

    Command command = new Command();  
    command.setCommandType(CommandType.SCHEDULER);  
    command.setExecutorId(schedule.getUserId());  
    command.setFailureStrategy(schedule.getFailureStrategy());  
    command.setProcessDefinitionCode(schedule.getProcessDefinitionCode());  
    command.setScheduleTime(scheduledFireTime);  
    command.setStartTime(fireTime);  
    command.setWarningGroupId(schedule.getWarningGroupId());  
    String workerGroup = StringUtils.isEmpty(schedule.getWorkerGroup()) ? Constants.DEFAULT_WORKER_GROUP  
            : schedule.getWorkerGroup();  
    command.setWorkerGroup(workerGroup);  
    command.setTenantCode(schedule.getTenantCode());  
    command.setEnvironmentCode(schedule.getEnvironmentCode());  
    command.setWarningType(schedule.getWarningType());  
    command.setProcessInstancePriority(schedule.getProcessInstancePriority());  
    command.setProcessDefinitionVersion(processDefinition.getVersion());  

    commandService.createCommand(command);  
} org.apache.dolphinscheduler.scheduler.quartz.ProcessScheduleTask

protected void executeInternal(JobExecutionContext context) {  
    JobDataMap dataMap = context.getJobDetail().getJobDataMap();  
    int projectId = dataMap.getInt(QuartzTaskUtils.PROJECT_ID);  
    int scheduleId = dataMap.getInt(QuartzTaskUtils.SCHEDULE_ID);  

    Date scheduledFireTime = context.getScheduledFireTime();  
    Date fireTime = context.getFireTime();  

    Command command = new Command();  
    command.setCommandType(CommandType.SCHEDULER);  
    command.setExecutorId(schedule.getUserId());  
    command.setFailureStrategy(schedule.getFailureStrategy());  
    command.setProcessDefinitionCode(schedule.getProcessDefinitionCode());  
    command.setScheduleTime(scheduledFireTime);  
    command.setStartTime(fireTime);  
    command.setWarningGroupId(schedule.getWarningGroupId());  
    String workerGroup = StringUtils.isEmpty(schedule.getWorkerGroup()) ? Constants.DEFAULT_WORKER_GROUP  
            : schedule.getWorkerGroup();  
    command.setWorkerGroup(workerGroup);  
    command.setTenantCode(schedule.getTenantCode());  
    command.setEnvironmentCode(schedule.getEnvironmentCode());  
    command.setWarningType(schedule.getWarningType());  
    command.setProcessInstancePriority(schedule.getProcessInstancePriority());  
    command.setProcessDefinitionVersion(processDefinition.getVersion());  

    commandService.createCommand(command);  
} Essentially, this is a callback function in Quartz that ultimately generates a Command . Command

The Heart of DolphinScheduler: In-Depth Analysis of the Quartz Scheduling Framework

Nature + Biomimicry + Bitcoin: Mutually Beneficial Partnership

Naturaleza + Biomimetismo + Bitcoin: una alianza mutuamente beneficiosa

Luonto + Biomimikri + Bitcoin: molemminpuolisesti hyödyllinen kumppanuus

प्रकृति + बायोमिमिक्री + बिटकॉइन: पारस्परिक रूप से लाभकारी साझेदारी

Nature + Biomimicry + Bitcoin. փոխշահավետ գործընկերություն

自然 + バイオミミクリー + ビットコイン: 相互に利益のあるパートナーシップ

Nature + Biomimicry + Bitcoin: ორმხრივად მომგებიანი პარტნიორობა

ធម្មជាតិ + Biomimicry + Bitcoin៖ ភាពជាដៃគូដែលមានអត្ថប្រយោជន៍ទៅវិញទៅមក

Natiora + Biomimicry + Bitcoin: Fiaraha-miombon'antoka

Masikirwo + Biomimicry + Bitcoin: Kudyidzana Kunobatsira Kudyidzana

Природа + биомимикрија + биткоин: обострано корисно партнерство

இயற்கை + பயோமிமிக்ரி + பிட்காயின்: பரஸ்பர நன்மை பயக்கும் கூட்டாண்மை

Tabiat + Biomimicry + Bitcoin: O'zaro manfaatli hamkorlik

Partnership to provide decentralized computing resources, enhancing platform scalability, security and high availability for distributed services.
Mizzle Partners with InFlux Technologies to Power DePIN Platform with Decentralized Cloud Infrastructure and Advanced Computing Resources InFlux Technologies (Flux), a leading global decentralized technology company specializing in cloud infrastructure, artificial intelligence, and decentralized cloud computing services, today announced a partnership with Mizzle, a pioneering decentralized physical infrastructure network (DePIN) platform. Under the partnership agreement, Flux will provide decentralized computing resources including CPU, GPU, storage and network capacity as required by Mizzle for its platform operations. This includes support for distributed applications and services, ensuring high availability, scalability and security. The agreement also includes monitoring and management of Mizzle’s infrastructure to ensure optimal performance along with maintenance and upgrades of the infrastructure as needed. Mizzle will work toward an estimated spend of $500,000-plus per year post-launch, with an estimated launch of January 2025. “This partnership represents a key step in our commitment to delivering decentralized computing solutions at scale. By supplying Mizzle with essential resources, we are ensuring the platform’s ability to maintain high availability, scalability, and security. This agreement highlights the growing demand for decentralized infrastructure and demonstrates its practical applications in supporting distributed services," said InFlux Technologies CEO and Co-founder, Daniel Keller. Mizzle is a hyper-efficient CI/CD with no-code development operations which simplifies server management allowing teams to innovate and scale without operational hurdles. Its confidential computing experience carries unmatched security with TEEs, eBPF and decentralized cloud compute, keeping data and operations fully protected. Mizzle has advanced storage and benefits from decentralized cloud storage enhanced with zero knowledge proofs and fully homomorphic encryption. The company is quantum ready with edge computing, is IoT-ready and committed to green computing. Flux ensures a minimum uptime of 99.99% of decentralized infrastructure services, barring any outages or maintenance windows and offers technical support to integrate and manage the compute resources. Flux offers data security and compliance and complies with all relevant data and security regulations, ensuring the infrastructure is designed to meet regulation standards. “We are excited to partner with InFlux Technologies, taking a key step toward advancing decentralized cloud solutions. By combining Mizzle's technology with Flux’s expertise, we will drive greater value for enterprises and governments worldwide. Together, we are shaping the future of decentralized applications and empowering innovation across the ecosystem,” said Founder of Mizzle Arjun Mishra. About Mizzle Mizzle is a DePIN platform designed to empower developers with no-code DevOps. We enable atomic and horizontal scaling of compute and storage, ensuring unparalleled flexibility and performance. Our platform combines advanced AI-driven infrastructure management with trusted execution environments (TEEs), leveraging eBPF technology for real-time protection and monitoring. We also incorporate  state-of-the-art cryptographic techniques, including Fully Homomorphic Encryption and Zero-Knowledge Proofs, to guarantee maximum data privacy and security. As we move into the quantum era, with a strong commitment to Green computing (ESG), Mizzle is your trusted partner for scalable, secure, and efficient decentralized infrastructure. For more information, visit the company’s website at www.mizzle.io. About InFlux Technologies InFlux Technologies (Flux) is powering a decentralized Web3 cloud infrastructure composed of user-operated, scalable, and globally distributed computational nodes. Flux provides the critical, high-availability infrastructure for the New Internet. The Flux service offers a  fully decentralized alternative to some of the world’s largest cloud infrastructure providers while offering competitive pricing. Flux is committed to developing disruptive solutions that empower individuals and businesses in the blockchain industry, emerging technologies like AI, and the broader technology space worldwide. For more information, visit the company’s website at www.runonflux.com. This article is published under HackerNoon’s Business Blogging program. Do your own research before making any financial decisions. Partnership to provide decentralized computing resources, enhancing platform scalability, security and high availability for distributed services. Mizzle Partners with InFlux Technologies to Power DePIN Platform with Decentralized Cloud Infrastructure and Advanced Computing Resources Partnership to provide decentralized computing resources, enhancing platform scalability, security and high availability for distributed services. Mizzle Partners with InFlux Technologies to Power DePIN Platform with Decentralized Cloud Infrastructure and Advanced Computing Resources InFlux Technologies (Flux), a leading global decentralized technology company specializing in cloud infrastructure, artificial intelligence, and decentralized cloud computing services, today announced a partnership with Mizzle , a pioneering decentralized physical infrastructure network (DePIN) platform. InFlux Technologies InFlux Technologies Mizzle Mizzle Under the partnership agreement, Flux will provide decentralized computing resources including CPU, GPU, storage and network capacity as required by Mizzle for its platform operations. This includes support for distributed applications and services, ensuring high availability, scalability and security. The agreement also includes monitoring and management of Mizzle’s infrastructure to ensure optimal performance along with maintenance and upgrades of the infrastructure as needed. Mizzle will work toward an estimated spend of $500,000-plus per year post-launch, with an estimated launch of January 2025. “This partnership represents a key step in our commitment to delivering decentralized computing solutions at scale. By supplying Mizzle with essential resources, we are ensuring the platform’s ability to maintain high availability, scalability, and security. This agreement highlights the growing demand for decentralized infrastructure and demonstrates its practical applications in supporting distributed services," said InFlux Technologies CEO and Co-founder, Daniel Keller. Mizzle is a hyper-efficient CI/CD with no-code development operations which simplifies server management allowing teams to innovate and scale without operational hurdles. Its confidential computing experience carries unmatched security with TEEs, eBPF and decentralized cloud compute, keeping data and operations fully protected. Mizzle has advanced storage and benefits from decentralized cloud storage enhanced with zero knowledge proofs and fully homomorphic encryption. The company is quantum ready with edge computing, is IoT-ready and committed to green computing. Flux ensures a minimum uptime of 99.99% of decentralized infrastructure services, barring any outages or maintenance windows and offers technical support to integrate and manage the compute resources. Flux offers data security and compliance and complies with all relevant data and security regulations, ensuring the infrastructure is designed to meet regulation standards. “We are excited to partner with InFlux Technologies, taking a key step toward advancing decentralized cloud solutions. By combining Mizzle's technology with Flux’s expertise, we will drive greater value for enterprises and governments worldwide. Together, we are shaping the future of decentralized applications and empowering innovation across the ecosystem,” said Founder of Mizzle Arjun Mishra. About Mizzle About Mizzle Mizzle is a DePIN platform designed to empower developers with no-code DevOps. We enable atomic and horizontal scaling of compute and storage, ensuring unparalleled flexibility and performance. Our platform combines advanced AI-driven infrastructure management with trusted execution environments (TEEs), leveraging eBPF technology for real-time protection and monitoring. We also incorporate  state-of-the-art cryptographic techniques, including Fully Homomorphic Encryption and Zero-Knowledge Proofs, to guarantee maximum data privacy and security. As we move into the quantum era, with a strong commitment to Green computing (ESG), Mizzle is your trusted partner for scalable, secure, and efficient decentralized infrastructure. For more information, visit the company’s website at www.mizzle.io . www.mizzle.io www.mizzle.io About InFlux Technologies About InFlux Technologies InFlux Technologies (Flux) is powering a decentralized Web3 cloud infrastructure composed of user-operated, scalable, and globally distributed computational nodes. Flux provides the critical, high-availability infrastructure for the New Internet. The Flux service offers a  fully decentralized alternative to some of the world’s largest cloud infrastructure providers while offering competitive pricing. Flux is committed to developing disruptive solutions that empower individuals and businesses in the blockchain industry, emerging technologies like AI, and the broader technology space worldwide. For more information, visit the company’s website at www.runonflux.com . www.runonflux.com www.runonflux.com This article is published under HackerNoon’s Business Blogging program. Do your own research before making any financial decisions. This article is published under HackerNoon’s Business Blogging program. Do your own research before making any financial decisions. This article is published under HackerNoon’s Business Blogging program. Do your own research before making any financial decisions. Business Blogging

Mizzle Partners with InFlux Technologies to Power DePIN Platform

Mizzle werk saam met InFlux Technologies om DePIN-platform aan te dryf

Mizzle se asocia con InFlux Technologies para impulsar la plataforma DePIN

Mizzle kumppanuus InFlux Technologies Power DePIN Platform

Mizzle partnerek az InFlux Technologies segítségével a Power DePIN platformon

Mizzle が InFlux Technologies と提携して DePIN プラットフォームを強化

Mizzle, DePIN 플랫폼 구동을 위해 InFlux Technologies와 협력

DePIN платформасын иштетүү үчүн InFlux Technologies менен Mizzle өнөктөштөрү

Mizzle dia miara-miasa amin'ny InFlux Technologies amin'ny Power DePIN Platform

Mizzle партнери со InFlux Technologies to Power DePIN платформата

Mizzle Partners neInFlux Technologies kune Power DePIN Platform

Mizzle samarbetar med InFlux Technologies för att driva DePIN-plattformen

ሚዝል ምስ ኢንፍሉክስ ቴክኖሎጂስ ብምትሕብባር ንዲፒን ፕላትፎርም ሓይሊ ይህብ

In recent years, meme-based and tap-to-earn games have surged in popularity, combining internet culture and rewarding gameplay for a novel experience. Meme-based games leverage humor and culturally relevant themes, giving players a playful, relatable environment where humor is as central as gameplay. Meanwhile, tap-to-earn games, as the name suggests, are highly accessible – users can simply tap to earn points or tokens. The concept taps into the appeal of casual gaming and adds an incentive layer through rewards, often in the form of cryptocurrencies or NFTs. These games stand out in an era where gamers are seeking both entertainment and engagement that goes beyond traditional gameplay. Among popular meme-based tap-to-earn games, Tap Warrior has emerged as a leading example on the Solana blockchain. It’s a tap-to-earn game that brings meme culture and crypto gaming together in a seamless, engaging package. Tap Warrior’s gameplay is straightforward yet engaging: players tap their way to higher scores, competing with others while earning rewards for their efforts. Designed for broad appeal, it caters to both experienced crypto enthusiasts and casual gamers who may just be venturing into blockchain gaming. The tap-to-earn model means that players can accumulate rewards by actively participating, making each tap a step toward ranking up, earning crypto, or collecting exclusive digital items. However it should be clear, Tap Warrior is a free-to-play game where users tap to accumulate points and unlock rewards without financial obligations. Players can enjoy the competitive, meme-driven environment while choosing whether or not to engage in cryptocurrency-related options like mining or staking. Tap Warrior makes it clear that it is not an investment platform, emphasizing that any crypto activity is optional and solely for entertainment. The game includes disclaimers about potential risks associated with cryptocurrency, such as market volatility, liquidity issues, and security vulnerabilities. These qualifications highlight that players should not expect financial returns and should only engage with crypto aspects if comfortable with the risks. This commitment to transparency and optional engagement with cryptocurrency makes Tap Warrior an accessible way to experience the crypto world. For those interested, Tap Warrior leverages Solana’s blockchain transparency and security, assuring users that their rewards and progress are protected. The game’s token-based economy allows players to earn cryptocurrency and collectible NFTs, adding tangible value to their gameplay. As they progress, players find themselves in a friendly competition to tap more, rank higher, and earn more rewards. This gamified experience keeps them engaged while drawing on the humor and accessibility that meme games are known for. As a free-to-play, meme-based tap-to-earn game, Tap Warrior offers an ideal balance for gamers looking for entertainment, community, and optional crypto engagement. With its emphasis on meme culture, transparency, and user choice, Tap Warrior redefines casual blockchain gaming, blending accessible fun with the potential to explore digital assets at one's discretion. Whether aiming to collect points, climb the ranks, or dabble in crypto, players can enjoy a flexible gaming experience that values both humor and security, creating a space where gaming meets decentralized innovation on their terms. Disclaimer and Disclosure The information provided in this article is for general informational purposes only and should not be construed as financial, investment, legal, or other advice. The views expressed are solely those of the author or contributor and do not necessarily reflect the official policy or position of Tap Warrior. This article does not constitute a solicitation or offer to buy or sell any assets, securities, or financial instruments, nor does it endorse or recommend any specific products, services, or investment strategies. Readers are encouraged to conduct their own research and seek the advice of a licensed professional regarding any financial decisions. Tap Warrior makes no representation as to the accuracy, completeness, or reliability of the information provided. Any reliance you place on such information is strictly at your own risk. Cryptocurrency and Web3 markets carry a high level of risk and may not be suitable for all investors. Please exercise caution, as there is a potential for significant financial loss. Tap Warrior and its affiliates, including marketing and PR agencies, disclaim any liability for any direct, indirect, or consequential losses or damages of any kind arising from reliance upon any information contained within this article or linked resources. In recent years, meme-based and tap-to-earn games have surged in popularity, combining internet culture and rewarding gameplay for a novel experience. Meme-based games leverage humor and culturally relevant themes, giving players a playful, relatable environment where humor is as central as gameplay. Meanwhile, tap-to-earn games, as the name suggests, are highly accessible – users can simply tap to earn points or tokens. The concept taps into the appeal of casual gaming and adds an incentive layer through rewards, often in the form of cryptocurrencies or NFTs. These games stand out in an era where gamers are seeking both entertainment and engagement that goes beyond traditional gameplay. Among popular meme-based tap-to-earn games, Tap Warrior has emerged as a leading example on the Solana blockchain. It’s a tap-to-earn game that brings meme culture and crypto gaming together in a seamless, engaging package. Tap Warrior’s gameplay is straightforward yet engaging: players tap their way to higher scores, competing with others while earning rewards for their efforts. Designed for broad appeal, it caters to both experienced crypto enthusiasts and casual gamers who may just be venturing into blockchain gaming. The tap-to-earn model means that players can accumulate rewards by actively participating, making each tap a step toward ranking up, earning crypto, or collecting exclusive digital items. However it should be clear, Tap Warrior is a free-to-play game where users tap to accumulate points and unlock rewards without financial obligations. Players can enjoy the competitive, meme-driven environment while choosing whether or not to engage in cryptocurrency-related options like mining or staking. Tap Warrior makes it clear that it is not an investment platform, emphasizing that any crypto activity is optional and solely for entertainment. The game includes disclaimers about potential risks associated with cryptocurrency, such as market volatility, liquidity issues, and security vulnerabilities. These qualifications highlight that players should not expect financial returns and should only engage with crypto aspects if comfortable with the risks. This commitment to transparency and optional engagement with cryptocurrency makes Tap Warrior an accessible way to experience the crypto world. For those interested, Tap Warrior leverages Solana’s blockchain transparency and security, assuring users that their rewards and progress are protected. The game’s token-based economy allows players to earn cryptocurrency and collectible NFTs, adding tangible value to their gameplay. As they progress, players find themselves in a friendly competition to tap more, rank higher, and earn more rewards. This gamified experience keeps them engaged while drawing on the humor and accessibility that meme games are known for. As a free-to-play, meme-based tap-to-earn game, Tap Warrior offers an ideal balance for gamers looking for entertainment, community, and optional crypto engagement. With its emphasis on meme culture, transparency, and user choice, Tap Warrior redefines casual blockchain gaming, blending accessible fun with the potential to explore digital assets at one's discretion. Whether aiming to collect points, climb the ranks, or dabble in crypto, players can enjoy a flexible gaming experience that values both humor and security, creating a space where gaming meets decentralized innovation on their terms. Disclaimer and Disclosure The information provided in this article is for general informational purposes only and should not be construed as financial, investment, legal, or other advice. The views expressed are solely those of the author or contributor and do not necessarily reflect the official policy or position of Tap Warrior. This article does not constitute a solicitation or offer to buy or sell any assets, securities, or financial instruments, nor does it endorse or recommend any specific products, services, or investment strategies. Readers are encouraged to conduct their own research and seek the advice of a licensed professional regarding any financial decisions. Tap Warrior makes no representation as to the accuracy, completeness, or reliability of the information provided. Any reliance you place on such information is strictly at your own risk. Cryptocurrency and Web3 markets carry a high level of risk and may not be suitable for all investors. Please exercise caution, as there is a potential for significant financial loss. Tap Warrior and its affiliates, including marketing and PR agencies, disclaim any liability for any direct, indirect, or consequential losses or damages of any kind arising from reliance upon any information contained within this article or linked resources.

Tap Warrior: The Newest Meme-Based Tap-to-Earn Game

Tap Warrior: Najnovija igra tap-to-earn zasnovana na memima

Tap Warrior: Nejnovější hra založená na Meme Tap-to-Earn

Tap Warrior: Det nyeste meme-baserede Tap-to-Earn-spil

Tap Warrior: el nuevo juego basado en memes en el que tocar para ganar dinero

Tap Warrior : le tout nouveau jeu Tap-to-Earn basé sur les mèmes

タップ ウォリアー: 最新のミームをベースにしたタップして稼ぐゲーム

Tap Warrior: het nieuwste meme-gebaseerde tap-to-earn-spel

Tap Warrior: Papadi ye Mpsha yeo e Theilwego go Meme ya Tap-go-Earn

Kanda Warrior: Umukino mushya wa Meme-Kanda-Kuri-Kunguka

I-tap ang Warrior: Ang Pinakabagong Meme-Based Tap-to-Earn Game

Tap Warrior: En Yeni Meme Tabanlı Dokunarak Kazanma Oyunu

IQhawe lokucofa: Owona Mdlalo umtsha weMeme usekwe kuCofa ukuze ufumane

Best Practices for API Security: JavaScript and Python Examples 

This morning, after watching President-Elect Donald Trump's announcement regarding his plan to "shatter" the censorship regime, I experienced a profound epiphany. The discussion surrounding free speech and the manipulation of information sparked thoughts about the potential for change in the current political landscape, particularly concerning figures like Edward Snowden. For years, Snowden has been a polarizing figure—celebrated by many as a whistleblower and condemned by others as a traitor. His revelations about government surveillance practices opened a critical dialogue about privacy, security, and the role of government in the lives of citizens. Yet, despite the importance of his contributions to public discourse, he has remained in exile, away from his homeland. In Trump's speech, he emphasized the need to dismantle what he described as a "censorship cartel" created by various entities, including government agencies and corporate media. This call to action resonated with me, especially when considering Snowden's situation. If there is indeed a movement towards restoring free speech and challenging the status quo, could this pave the way for Snowden's return to the United States? Since 2013, Snowden has made a life for himself in Russia. His story has become emblematic of the complex relationship between government secrecy and the public's right to know. The speech I watched, with its bold promises about preventing federal agencies from "colluding" to control information and its calls for investigations into what it termed "online censorship," made me wonder about the possibility of change. The words echoed through the transcript – departments like Homeland Security, Health and Human Services, the FBI, and Department of Justice all mentioned by name. Each reference carried the weight of potential transformation in how our government handles information and those who choose to reveal it. President Trump's emphasis on "reclaiming" free speech struck a particular chord, though the reality of whistleblower protection remains far more complex than any single speech or policy proposal can address. Just as Julian Assange recently returned to Australia, there may be hope for Snowden as well. The political climate appears to be shifting, with more citizens becoming aware of the importance of transparency and the dangers of unchecked power. If the Trump administration truly prioritizes the restoration of free speech, it might also reconsider the stance towards those who have fought for that very principle. Snowden's return would not only symbolize a victory for whistleblowers everywhere but also serve as a reminder that accountability and justice can prevail. It is essential for our democracy to embrace those who have risked everything to expose the truth. As we look towards the future, the light at the end of the tunnel seems brighter. With ongoing conversations about censorship and the rights of individuals, perhaps we are on the brink of a significant shift. It is time to advocate for a system where whistleblowers are protected and celebrated rather than vilified. In conclusion, my hope for Edward Snowden's return is intertwined with the broader movement towards reclaiming free speech and accountability. As we navigate these complex issues, let us remain vigilant and support those who dare to stand up for the truth, for they are the ones who illuminate the path toward a more just society. This piece represents my own personal observations and thoughts on complex issues. Readers should pursue their own research and consult official sources for ground-truthing. Follow me here on Hackernoon for more insights and updates. This morning, after watching President-Elect Donald Trump's announcement regarding his plan to "shatter" the censorship regime, I experienced a profound epiphany. The discussion surrounding free speech and the manipulation of information sparked thoughts about the potential for change in the current political landscape, particularly concerning figures like Edward Snowden. For years, Snowden has been a polarizing figure—celebrated by many as a whistleblower and condemned by others as a traitor. His revelations about government surveillance practices opened a critical dialogue about privacy, security, and the role of government in the lives of citizens. Yet, despite the importance of his contributions to public discourse, he has remained in exile, away from his homeland. In Trump's speech, he emphasized the need to dismantle what he described as a "censorship cartel" created by various entities, including government agencies and corporate media. This call to action resonated with me, especially when considering Snowden's situation. If there is indeed a movement towards restoring free speech and challenging the status quo, could this pave the way for Snowden's return to the United States? Since 2013, Snowden has made a life for himself in Russia. His story has become emblematic of the complex relationship between government secrecy and the public's right to know. The speech I watched, with its bold promises about preventing federal agencies from "colluding" to control information and its calls for investigations into what it termed "online censorship," made me wonder about the possibility of change. The words echoed through the transcript – departments like Homeland Security, Health and Human Services, the FBI, and Department of Justice all mentioned by name. Each reference carried the weight of potential transformation in how our government handles information and those who choose to reveal it. President Trump's emphasis on "reclaiming" free speech struck a particular chord, though the reality of whistleblower protection remains far more complex than any single speech or policy proposal can address. Just as Julian Assange recently returned to Australia, there may be hope for Snowden as well. The political climate appears to be shifting, with more citizens becoming aware of the importance of transparency and the dangers of unchecked power. If the Trump administration truly prioritizes the restoration of free speech, it might also reconsider the stance towards those who have fought for that very principle. Snowden's return would not only symbolize a victory for whistleblowers everywhere but also serve as a reminder that accountability and justice can prevail. It is essential for our democracy to embrace those who have risked everything to expose the truth. As we look towards the future, the light at the end of the tunnel seems brighter. With ongoing conversations about censorship and the rights of individuals, perhaps we are on the brink of a significant shift. It is time to advocate for a system where whistleblowers are protected and celebrated rather than vilified. In conclusion, my hope for Edward Snowden's return is intertwined with the broader movement towards reclaiming free speech and accountability. As we navigate these complex issues, let us remain vigilant and support those who dare to stand up for the truth, for they are the ones who illuminate the path toward a more just society. This piece represents my own personal observations and thoughts on complex issues. Readers should pursue their own research and consult official sources for ground-truthing. Follow me here on Hackernoon for more insights and updates. This piece represents my own personal observations and thoughts on complex issues. Readers should pursue their own research and consult official sources for ground-truthing. Follow me here on Hackernoon for more insights and updates. Hackernoon

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