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TDI Advice wanted!
Hi TD fans! I'm planning a rewrite of TDI, the cast will be 18 for in-universe reasons (think legal contracts, I'm not gonna be weird about them). I'm aiming to make it more realistic and in line with the 2007 aesthetic, i.e era appropriate lingo & references, mobile phones are rare, homophobia is a bigger concern etc, but I'm wondering how far I should take it?
In the end I'll write what I enjoy, but should I lean more heavily into the gritty side of reality TV both on and behind the screen, include more notable sexism, potential slurs and creepy behaviours etc? The point is for there to be believable drama in-universe and the topics planned all have some merit to be present. I have some hard lines I'll never cross (see last tags on the post for those curious) and I want people familiar with the themes to feel seen rather than exploited reading it.
At the end of the day the cast are just youngsters getting to know each other and themselves. I want to humanize them and write believable conflicts without demonizing anyone, it is intended as a character driven story after all. But I also want to know what others think would make for an enjoyable read/take on the show.
The cast will inevitably diverge from their canon counterparts, but I am unsure how to handle certain characters, an example being LeShawna. She's clearly based on a racist stereotype, but her personality, background and lingo are a huge part of her appeal and I'd rather portray her in a better light than change her from the ground up. If you have any pointers I can keep in mind for her or anyone else you think is often portrayed poorly in canon or fanon then please let me hear your takes! This goes for non-TDI castmates as well, even if they don't show up in the story I wanna know what people think does and doesn't work for them and their tropes/traits cause it might still be relevant!
#Td#Tdi#Total drama#Id love any opinions no matter how personal or miniscule. Even outside of fic writing I love hearing theories/analyses.#Also: I already have some things very strongly set in stone so I won't change this project to perfectly appease someone else's vision#Some charas will inevitably be OOC at points but I am using canon information and what we know from stuff like other seasons and their bios#-as my basis for most things. Because while I want to explore some unrelated topics I still want this to be the TD cast. Not my OCs.#That said there will be personal headcanons thrown in. But I hope they flow well with canon and don't stand out as a sore thumb.#Some HCs might replace canon traits but only if I think they were bad/random or underdeveloped.#And if you have songs you think fit the campers pls send them my way! Good character playlists really helps w getting into their headspace#While I am a huge IOTS fan I don't intend to reference it in my work. No gore or character deaths because that stuff is too impactful both-#-for the characters and for the show in-universe. It would derail everything which is what makes IOTS work but is unfitting here.#All TWs will be listed once I start writing. I'm happy to tag niche phobias/squicks/TWs as well so if you're interested in reading but-#-worry that something specific might be included then just ask! No matter how silly it might seem I've got you covered.#What I won't include: SA nor heavy sexism/racism. I might not touch racism much at all outside of beauty standards/racist tv tropes.#Any heavy topic included will be approached with a lot of care and consideration for those affected. There will be 0 shock value inclusions
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#difference between standard sim cards and m2m sim cards#m2m esim card#m2m sim card#legacy iot#internet of things#iot platform
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Weekly output: AT&T's car-connectivity road map, 5G performance tests, Twitter and journalism, Meta launches Threads, social-media ruling, Matter's visibility
I have somehow escaped writing about Amazon Prime Day over more than 12 years of freelancing, and I’m pleased to report that none of my editors have asked me for any coverage of that marketing exercise this coming week.
7/3/2023: AT&T’s car-connectivity formula: 5G plus edge compute plus standalone 5G, Light Reading
I sat down with AT&T’s Igal Elbaz and Mike Troiano at the Collision conference in…
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#Amazon#AT&T#Best Buy#Collision#connected car#Connectivity Standards Alliance#content moderation#Elon Musk Twitter#free speech#Internet of Things#IoT#Matter#smart home#Threads
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AMTSO Publishes Guidance for Testing IoT Security Products
AMTSO Publishes Guidance for Testing IoT Security Products
Home › ICS/OT
AMTSO Publishes Guidance for Testing IoT Security Products
By Ionut Arghire on September 06, 2022
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The Anti-Malware Testing Standards Organization (AMTSO) has published guidelines for testers and vendors looking to check the efficiency and functionality of security products designed to protect Internet of Things (IoT) devices.
The Guidelines for Testing of IoT Security Products…
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With the number of IoT devices is on increase, cases of DDoS are also being witnessed. To reduce these attacks it is necessary to know about the IoT protocols and standards that can help to reduce these attacks. IoT communication protocols are modes of communication that help to secure the data being exchanged between connected devices.
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annoyingly the most influential thing in my head from Murderbot is the Feed. The Feed is so appealing as a concept. A universally comprehensible and widely accessible mesh-based standard for mixed machine and human communication with a reliable subscription service, that has a ton of things publishing constantly by default but with a robust (assuming no rogue antisocial biological hypercomputers) cryptographic system for secret data. The Feed very clearly can scale up to an entire space station network or down to one person and their accoutrements forming a personal area network.
Some kind of hierarchical MQTT implemented on a mesh network with public key cryptography could get you so close if you just standardized ways to get the MQTT schema of any given endpoint. After that it's all dashboarding. Publish as much or as little information as you want and allow any given device to access that data and respond to it.
Some of this is probably leftovers from $PREVJOB. When I was doing industrial automation our entire fleet of devices lived on a strict schema under one MQTT server that I had complete read/write for so by doing clever subscriptions I could sample anything from a temperature reading from a single appliance in the back of the restaurant I was standing in to accumulating the overall power draw of every single business we were working with all at once.
On more than one occasion something silently broke and I drove up near the back of a facility in my car where I knew the IoT gateway was, connected to our local IoT network over wifi, fixed the issue, and left without telling anyone.
Unfortunately if the Feed existed people like me would make extremely annoying endpoints. To be fair canonically the Feed is absolute dogshit unless you have an Adblock. So really it would be exactly the same as in the books.
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Before the students left Rek, the rakii had been in the process of developing their own AI. At first they were gifted such intelligence by the students, providing washed-down copies of themselves to add to their tech and craft management. But when the need for more personalized AI and general curiosity arose, they went to work, using the student provided AI as a base or reference point.
From there, three types of AI sprouted off these projects:
• Student AI
- Highly valuable, practical holy relics of what remains of the students. These are "purest" AI and are strictly held within Iot's control, only able to function off student tech. There are only 4 existing and 2 remain within the Idle Library. These AI are again, much more watered-down and while are fairly sentient they aren't 100% sapient.
• Hybrid or Steward AI
- A mix between student and rakii coding. Since rakii couldn't exactly copy paste the student AI's themselves, what was given, they managed add on it. These AI were specialized and trained to understand the workings of rakii history, and language, while also being able to work on both student and rakii devices. They are still held under Iot control but with special permission, they can be granted to important government official or funded servers. These AI are a tad more self-aware, understanding their purpose and history just fine.
• Factotum AI
- Completely rakii made and trained AI. With little to no student involvement, these AI are either standard algorithmic run assistants or commercially used for things like personal computers, phones, self-driven vehicles (mainly rail cars and public transit) or vending machines. Not ALL devices have AI of course, as the general public have a lot of mixed feelings towards, not such distain but prefer to be the only one in control of their tools. On the upside, they are heavily regulated and lack any possibility for self-awareness or sapience.
The ones displayed here are two steward AI named Wyrr'Yoii (left) and Booror (right).
Wyrr'Yoii is currently housed on the lunar settlement, Wubu maintaining life support and security, taking the avatar of a temperate. They were handed over to the rakii aerospace committee by Iot, which is heavily funded by the city for the investment of seeking out their missing gods.
Wyrr'Yoii is described to be standardly monotone and critical, yet easy-going and understanding. They know exactly where their functionally lies and are always willing to lookout for the inhabitants within them. They have long-range communication with ground control, and furthest orbiting station in their system, "The Needle of Shwati"
(A Wubu settler checking in with Wyrr'Yoii)
Booror, is housed within an arctic government building in the Shto Dominion hence taking an arctic avatar. Having accepted trading offers and territory with Iot, they were later granted a steward to keep purpose tabs and documents on community. Ensuring those higher up are up-to-date with any possible trading changes.
Though the general public are often wary of this development as recently there has been a project in the works of providing AI with RC units, wanting to see how these AI can interact with the physical world. One unit being an elaborate success, however the reactions of many were generally, "It looks creepy." and it became more of an underground project.
(Cartographer Wa'chaa "Quiibii" Iot, speaking with Saiba in their RC unit)
#rakii#sci fi#alien#aliens#spec evo#possibly the longest info dump I've ever made woo#my bf had come up with some interesting ideas for rakii display tech too#stay tuned
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In the subject of data analytics, this is the most important concept that everyone needs to understand. The capacity to draw insightful conclusions from data is a highly sought-after talent in today's data-driven environment. In this process, data analytics is essential because it gives businesses the competitive edge by enabling them to find hidden patterns, make informed decisions, and acquire insight. This thorough guide will take you step-by-step through the fundamentals of data analytics, whether you're a business professional trying to improve your decision-making or a data enthusiast eager to explore the world of analytics.
Step 1: Data Collection - Building the Foundation
Identify Data Sources: Begin by pinpointing the relevant sources of data, which could include databases, surveys, web scraping, or IoT devices, aligning them with your analysis objectives.
Define Clear Objectives: Clearly articulate the goals and objectives of your analysis to ensure that the collected data serves a specific purpose.
Include Structured and Unstructured Data: Collect both structured data, such as databases and spreadsheets, and unstructured data like text documents or images to gain a comprehensive view.
Establish Data Collection Protocols: Develop protocols and procedures for data collection to maintain consistency and reliability.
Ensure Data Quality and Integrity: Implement measures to ensure the quality and integrity of your data throughout the collection process.
Step 2: Data Cleaning and Preprocessing - Purifying the Raw Material
Handle Missing Values: Address missing data through techniques like imputation to ensure your dataset is complete.
Remove Duplicates: Identify and eliminate duplicate entries to maintain data accuracy.
Address Outliers: Detect and manage outliers using statistical methods to prevent them from skewing your analysis.
Standardize and Normalize Data: Bring data to a common scale, making it easier to compare and analyze.
Ensure Data Integrity: Ensure that data remains accurate and consistent during the cleaning and preprocessing phase.
Step 3: Exploratory Data Analysis (EDA) - Understanding the Data
Visualize Data with Histograms, Scatter Plots, etc.: Use visualization tools like histograms, scatter plots, and box plots to gain insights into data distributions and patterns.
Calculate Summary Statistics: Compute summary statistics such as means, medians, and standard deviations to understand central tendencies.
Identify Patterns and Trends: Uncover underlying patterns, trends, or anomalies that can inform subsequent analysis.
Explore Relationships Between Variables: Investigate correlations and dependencies between variables to inform hypothesis testing.
Guide Subsequent Analysis Steps: The insights gained from EDA serve as a foundation for guiding the remainder of your analytical journey.
Step 4: Data Transformation - Shaping the Data for Analysis
Aggregate Data (e.g., Averages, Sums): Aggregate data points to create higher-level summaries, such as calculating averages or sums.
Create New Features: Generate new features or variables that provide additional context or insights.
Encode Categorical Variables: Convert categorical variables into numerical representations to make them compatible with analytical techniques.
Maintain Data Relevance: Ensure that data transformations align with your analysis objectives and domain knowledge.
Step 5: Statistical Analysis - Quantifying Relationships
Hypothesis Testing: Conduct hypothesis tests to determine the significance of relationships or differences within the data.
Correlation Analysis: Measure correlations between variables to identify how they are related.
Regression Analysis: Apply regression techniques to model and predict relationships between variables.
Descriptive Statistics: Employ descriptive statistics to summarize data and provide context for your analysis.
Inferential Statistics: Make inferences about populations based on sample data to draw meaningful conclusions.
Step 6: Machine Learning - Predictive Analytics
Algorithm Selection: Choose suitable machine learning algorithms based on your analysis goals and data characteristics.
Model Training: Train machine learning models using historical data to learn patterns.
Validation and Testing: Evaluate model performance using validation and testing datasets to ensure reliability.
Prediction and Classification: Apply trained models to make predictions or classify new data.
Model Interpretation: Understand and interpret machine learning model outputs to extract insights.
Step 7: Data Visualization - Communicating Insights
Chart and Graph Creation: Create various types of charts, graphs, and visualizations to represent data effectively.
Dashboard Development: Build interactive dashboards to provide stakeholders with dynamic views of insights.
Visual Storytelling: Use data visualization to tell a compelling and coherent story that communicates findings clearly.
Audience Consideration: Tailor visualizations to suit the needs of both technical and non-technical stakeholders.
Enhance Decision-Making: Visualization aids decision-makers in understanding complex data and making informed choices.
Step 8: Data Interpretation - Drawing Conclusions and Recommendations
Recommendations: Provide actionable recommendations based on your conclusions and their implications.
Stakeholder Communication: Communicate analysis results effectively to decision-makers and stakeholders.
Domain Expertise: Apply domain knowledge to ensure that conclusions align with the context of the problem.
Step 9: Continuous Improvement - The Iterative Process
Monitoring Outcomes: Continuously monitor the real-world outcomes of your decisions and predictions.
Model Refinement: Adapt and refine models based on new data and changing circumstances.
Iterative Analysis: Embrace an iterative approach to data analysis to maintain relevance and effectiveness.
Feedback Loop: Incorporate feedback from stakeholders and users to improve analytical processes and models.
Step 10: Ethical Considerations - Data Integrity and Responsibility
Data Privacy: Ensure that data handling respects individuals' privacy rights and complies with data protection regulations.
Bias Detection and Mitigation: Identify and mitigate bias in data and algorithms to ensure fairness.
Fairness: Strive for fairness and equitable outcomes in decision-making processes influenced by data.
Ethical Guidelines: Adhere to ethical and legal guidelines in all aspects of data analytics to maintain trust and credibility.
Data analytics is an exciting and profitable field that enables people and companies to use data to make wise decisions. You'll be prepared to start your data analytics journey by understanding the fundamentals described in this guide. To become a skilled data analyst, keep in mind that practice and ongoing learning are essential. If you need help implementing data analytics in your organization or if you want to learn more, you should consult professionals or sign up for specialized courses. The ACTE Institute offers comprehensive data analytics training courses that can provide you the knowledge and skills necessary to excel in this field, along with job placement and certification. So put on your work boots, investigate the resources, and begin transforming.
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In this research, CEA-Leti fabricated innovative thin-film batteries on the institute's TINY platform. Standard microfabrication techniques and a 200 mm wafer integration process flow were used to produce sub-square-millimeter microbatteries with a specific areal capacity five times that of today's commercially-available products.
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How India Became a Global Leader in Telecom
If you are interested in learning how India became a global leader in telecom equipment manufacturing and 5G innovation, this article is for you. You will discover how India leveraged its engineering talent, policy reforms, and open standards.
Equipment Manufacturing and 5G Innovation
India is one of the fastest growing telecom markets in the world, with over 1.2 billion subscribers and 700 million internet users. But how did India achieve this remarkable feat? How did India transform itself from a net importer of telecom equipment to a net exporter and a global leader in telecom technology and innovation? How did India leverage its…
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#5G#6G#AI#Ashwini Vaishnaw#cyber security#equipment#export#India#Innovation#IoT#manufacturing#Narendra Modi#O-RAN#PLI scheme#standardization#telecom#VVDN Technologies#women empowerment
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The Future of AWS: Innovations, Challenges, and Opportunities
As we stand on the top of an increasingly digital and interconnected world, the role of cloud computing has never been more vital. At the forefront of this technological revolution stands Amazon Web Services (AWS), a A leader and an innovator in the field of cloud computing. AWS has not only transformed the way businesses operate but has also ignited a global shift towards cloud-centric solutions. Now, as we gaze into the horizon, it's time to dive into the future of AWS—a future marked by innovations, challenges, and boundless opportunities.
In this exploration, we will navigate through the evolving landscape of AWS, where every day brings new advancements, complex challenges, and a multitude of avenues for growth and success. This journey is a testament to the enduring spirit of innovation that propels AWS forward, the challenges it must overcome to maintain its leadership, and the vast array of opportunities it presents to businesses, developers, and tech enthusiasts alike.
Join us as we embark on a voyage into the future of AWS, where the cloud continues to shape our digital world, and where AWS stands as a beacon guiding us through this transformative era.
Constant Innovation: The AWS Edge
One of AWS's defining characteristics is its unwavering commitment to innovation. AWS has a history of introducing groundbreaking services and features that cater to the evolving needs of businesses. In the future, we can expect this commitment to innovation to reach new heights. AWS will likely continue to push the boundaries of cloud technology, delivering cutting-edge solutions to its users.
This dedication to innovation is particularly evident in AWS's investments in machine learning (ML) and artificial intelligence (AI). With services like Amazon SageMaker and AWS Deep Learning, AWS has democratized ML and AI, making these advanced technologies accessible to developers and businesses of all sizes. In the future, we can anticipate even more sophisticated ML and AI capabilities, empowering businesses to extract valuable insights and create intelligent applications.
Global Reach: Expanding the AWS Footprint
AWS's global infrastructure, comprising data centers in numerous regions worldwide, has been key in providing low-latency access and backup to customers globally. As the demand for cloud services continues to surge, AWS's expansion efforts are expected to persist. This means an even broader global presence, ensuring that AWS remains a reliable partner for organizations seeking to operate on a global scale.
Industry-Specific Solutions: Tailored for Success
Every industry has its unique challenges and requirements. AWS recognizes this and has been increasingly tailoring its services to cater to specific industries, including healthcare, finance, manufacturing, and more. This trend is likely to intensify in the future, with AWS offering industry-specific solutions and compliance certifications. This ensures that organizations in regulated sectors can leverage the power of the cloud while adhering to strict industry standards.
Edge Computing: A Thriving Frontier
The rise of the Internet of Things (IoT) and the growing importance of edge computing are reshaping the technology landscape. AWS is positioned to capitalize on this trend by investing in edge services. Edge computing enables real-time data processing and analysis at the edge of the network, a capability that's becoming increasingly critical in scenarios like autonomous vehicles, smart cities, and industrial automation.
Sustainability Initiatives: A Greener Cloud
Sustainability is a primary concern in today's mindful world. AWS has already committed to sustainability with initiatives like the "AWS Sustainability Accelerator." In the future, we can expect more green data centers, eco-friendly practices, and a continued focus on reducing the harmful effects of cloud services. AWS's dedication to sustainability aligns with the broader industry trend towards environmentally responsible computing.
Security and Compliance: Paramount Concerns
The ever-growing importance of data privacy and security cannot be overstated. AWS has been proactive in enhancing its security services and compliance offerings. This trend will likely continue, with AWS introducing advanced security measures and compliance certifications to meet the evolving threat landscape and regulatory requirements.
Serverless Computing: A Paradigm Shift
Serverless computing, characterized by services like AWS Lambda and AWS Fargate, is gaining rapid adoption due to its simplicity and cost-effectiveness. In the future, we can expect serverless architecture to become even more mainstream. AWS will continue to refine and expand its serverless offerings, simplifying application deployment and management for developers and organizations.
Hybrid and Multi-Cloud Solutions: Bridging the Gap
AWS recognizes the significance of hybrid and multi-cloud environments, where organizations blend on-premises and cloud resources. Future developments will likely focus on effortless integration between these environments, enabling businesses to leverage the advantages of both on-premises and cloud-based infrastructure.
Training and Certification: Nurturing Talent
AWS professionals with advanced skills are in more demand. Platforms like ACTE Technologies have stepped up to offer comprehensive AWS training and certification programs. These programs equip individuals with the skills needed to excel in the world of AWS and cloud computing. As the cloud becomes increasingly integral to business operations, certified AWS professionals will continue to be in high demand.
In conclusion, the future of AWS shines brightly with promise. As a expert in cloud computing, AWS remains committed to continuous innovation, global expansion, industry-specific solutions, sustainability, security, and empowering businesses with advanced technologies. For those looking to embark on a career or excel further in the realm of AWS, platforms like ACTE Technologies offer industry-aligned training and certification programs.
As businesses increasingly rely on cloud services to drive their digital transformation, AWS will continue to play a key role in reshaping industries and empowering innovation. Whether you are an aspiring cloud professional or a seasoned expert, staying ahead of AWS's evolving landscape is most important. The future of AWS is not just about technology; it's about the limitless possibilities it offers to organizations and individuals willing to embrace the cloud's transformative power.
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Exploring Python: Features and Where It's Used
Python is a versatile programming language that has gained significant popularity in recent times. It's known for its ease of use, readability, and adaptability, making it an excellent choice for both newcomers and experienced programmers. In this article, we'll delve into the specifics of what Python is and explore its various applications.
What is Python?
Python is an interpreted programming language that is high-level and serves multiple purposes. Created by Guido van Rossum and released in 1991, Python is designed to prioritize code readability and simplicity, with a clean and minimalistic syntax. It places emphasis on using proper indentation and whitespace, making it more convenient for programmers to write and comprehend code.
Key Traits of Python :
Simplicity and Readability: Python code is structured in a way that's easy to read and understand. This reduces the time and effort required for both creating and maintaining software.
Python code example: print("Hello, World!")
Versatility: Python is applicable across various domains, from web development and scientific computing to data analysis, artificial intelligence, and more.
Python code example: import numpy as np
Extensive Standard Library: Python offers an extensive collection of pre-built libraries and modules. These resources provide developers with ready-made tools and functions to tackle complex tasks efficiently.
Python code example: import matplotlib.pyplot as plt
Compatibility Across Platforms: Python is available on multiple operating systems, including Windows, macOS, and Linux. This allows programmers to create and run code seamlessly across different platforms.
Strong Community Support: Python boasts an active community of developers who contribute to its growth and provide support through online forums, documentation, and open-source contributions. This community support makes Python an excellent choice for developers seeking assistance or collaboration.
Where is Python Utilized?
Due to its versatility, Python is utilized in various domains and industries. Some key areas where Python is widely applied include:
Web Development: Python is highly suitable for web development tasks. It offers powerful frameworks like Django and Flask, simplifying the process of building robust web applications. The simplicity and readability of Python code enable developers to create clean and maintainable web applications efficiently.
Data Science and Machine Learning: Python has become the go-to language for data scientists and machine learning practitioners. Its extensive libraries such as NumPy, Pandas, and SciPy, along with specialized libraries like TensorFlow and PyTorch, facilitate a seamless workflow for data analysis, modeling, and implementing machine learning algorithms.
Scientific Computing: Python is extensively used in scientific computing and research due to its rich scientific libraries and tools. Libraries like SciPy, Matplotlib, and NumPy enable efficient handling of scientific data, visualization, and numerical computations, making Python indispensable for scientists and researchers.
Automation and Scripting: Python's simplicity and versatility make it a preferred language for automating repetitive tasks and writing scripts. Its comprehensive standard library empowers developers to automate various processes within the operating system, network operations, and file manipulation, making it popular among system administrators and DevOps professionals.
Game Development: Python's ease of use and availability of libraries like Pygame make it an excellent choice for game development. Developers can create interactive and engaging games efficiently, and the language's simplicity allows for quick prototyping and development cycles.
Internet of Things (IoT): Python's lightweight nature and compatibility with microcontrollers make it suitable for developing applications for the Internet of Things. Libraries like Circuit Python enable developers to work with sensors, create interactive hardware projects, and connect devices to the internet.
Python's versatility and simplicity have made it one of the most widely used programming languages across diverse domains. Its clean syntax, extensive libraries, and cross-platform compatibility make it a powerful tool for developers. Whether for web development, data science, automation, or game development, Python proves to be an excellent choice for programmers seeking efficiency and user-friendliness. If you're considering learning a programming language or expanding your skills, Python is undoubtedly worth exploring.
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Physical media discourse on here feels... weird (this is a long post)
I agree on a fundamental level that the move towards drm-based streaming licenses is bad, and that the perpetual-personal-content license (read: the license most DVDs are under) is a thing we should maintain, at least as a stopgap until the vanguard of communism empowers us to rewrite IP law.
That said, the language positioning Physical vs Digital, the insistence that anything other than physical media is bad, and the upholding of DVDs as a gold standard, all read to me as kinda tech-iliterate, and thus ignorant of the real issue at hand.
The primary issue with streaming, which folks on Tumblr *have* correctly identified, is to do with Access control.
The primary issue with streaming is that it requires a regular subscription payment, to exclusively view content under a license that can be revoked at any time for any reason.
This is the mechanism by which Netflix can kick you off your friend's account, this is also the mechanism by HBO can scrub Infinity Train from existence as a tax write-off.
This system is unequivocally bad, and the reason it's bad is because of DRM and Access Control. This may seem pedantic, but is an important distinction.
Let's take a look at DVDs now. Most DVDs are distributed under a license that grants you perpetual access to view in a private setting, but not to redistribute the content.
This is what that FBI warning that plays at the top of every DVD is trying to tell you, and is why ripping a DVD, while simple, is technically illegal.
Because the video file is hard-encoded into the DVD, and its proliferation largely predates the IOT zeitgeist, *most* DVDs don't contain any access control measures beyond that legal text, but this is not universal.
youtube
This is a great video outlining FlexPlay, an ill-faded technology that used a disk with light-sensitive material, that over the course of about a week or two, blacked out the disk rendering its contents un-viewable.
I bring this up because it highlights two issues.
One, DVDs aren't a physically resilient technology.
Disks are fragile, and even moderate scratches or damage can render a disk unreadable. This is a point of contention retro gamers have had for years, because while their NES cartridges still work, their PS1 disks don't.
This is not even to mention how the plastic of every broken disk still exists somewhere in the world, and will for centuries.
Two, it shows that IP conglomerates, have been at this for years, and won't be stopped in putting Access control into DVDs.
This means that buying DVDs of new shows forever is not an end-game solution. Unless you are content to stop consuming new media, eventually you're going to encounter a DRM protected disk.
To use another more recent example, remember when the Xbox One came out? They had this giant controversy over how playing a game locally on the disk still required online access to Microsoft's servers.
Your physical media could be locked right up for any reason by the platform itself. How can we trust that if DVDs or Blu Ray made a comeback that they would not suffer the same fate?
So where do we go from here, if physical media isn't safe?
Let's consider what digital video *is*. It's a file, same as any other. .mp4 .mov
Some, like .mp4 support DRM-encryption (although don't always contain any). Others, like .ogv exist free from DRM, thanks open source software developers.
Likewise, with a DRM encrypted digital file, because all of the data is hosted locally, just encrypted, there are ways to remove or bypass that encryption, because the VAST majority of cyber-security depends on a lack of knowledge.
This website has a number of very good resources both on drm-free digital storage mediums, and the process of removing certain types of DRM from digital files, (and was my primary resource for this paragraph)
https://www.defectivebydesign.org/so_youve_got_some_questions_do_you#:~:text=To%20avoid%20DRM%20and%20other,webm)%2C%20or%20Daala.
Storing your media as unlocked files presents the best of both worlds.
You have full control over access to your media, you own those files just as much as you own the hard drive you store them on.
You can buy media online, so long as the distributor gives you a media file instead of a streaming portal. You can also choose to obtain media files through other means, that's none of my business.
And you can do some really cool stuff like setting up a self-hosted media server, allowing you streaming-like remote access to all of your media, without ceding any ownership over that media. (Jellyfin is the most popular open-source solution but there are others) https://jellyfin.org/
And absolutely none of this is to mention the ways in which you can SUPPORT YOUR LOCAL LIBRARY, WHO MOST LIKELY HAS STREAMING OPTIONS.
In the US most public libraries maintain Kanopy and hoopla memberships, allowing you to access streamed content from your local library.
This has the added benefit of keeping the library's usage statistics up, which often helps them with securing more funding.
While you don't own the media, you also don't have to pay for it, and you crucially don't have to give your money to streaming services and IP hoarders.
It requires 0 technical background, and presents a more sustainable and equitable view of what streaming can look like.
So in conclusion:
Make sure you own the content you're paying for, and accept nothing less.
Don't be convinced that your DVDs are immune.
Learn some basics about networking, filetypes, cyber security and self-hosting if you really care about this stuff.
Support Open Source Software
Support Your Local Library
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Larry Savage Birmingham About Logistics Challenges And How To Overcome Them
Logistics managers are now more aware of the need to obtain vital information instantly due to the pandemic. Additionally, it encouraged warehouse managers to be proactive in mitigating risks related to supply and demand. Today, machine learning software that analyzes real-time data can help prevent both overstock and out-of-stock. This is similar to IoT sensors assisting transportation businesses in tracking goods throughout the route. So, to learn more, read Larry Savage Jr Birmingham – Challenges That Necessitate The Need For An Organized Logistics Industry to level up your business performance.
Strengthen communication at all levels
A vital component of surviving in business is anticipating logistical obstacles and knowing how to overcome them. You should include improving communication with the participants in your global supply chain in your planning. You might even wish to create connections with far-off logistical companies to increase your marketing reach if your company is local. In order to stay informed about the state of the resources supporting your products and market, it's critical to keep in constant contact with your suppliers.
Establish standards for suppliers and partners
If businesses follow different standards, it could confuse some of them when arranging many deliveries daily with several supply chain managers. Logistics operations are considerably more streamlined and coherent when every service follows the same loading and unloading procedures. Supply chain visibility can also be maximized for all participants in this coordination through smart technology and interconnected electronic networks.
Invest in the right technology
Companies today are also overspending on the latest software and hardware developments due to the quick changes in business technology. Spending less on technology to achieve maximum efficiency is now possible if you use cloud technologies.
If your business is operating on a tight budget, cloud services offer the most economical options. A warehouse might think about collaborating with logistics industry specialists if it needs additional flexibility, scalability, or experience.
Using third-party logistics providers to carry goods to markets is one way for businesses that can't afford to invest in creating a logistics service that makes use of automation, robots, and artificial intelligence.
Reduce warehouse management errors
An infrastructure's likelihood of errors decreases as it becomes more digital through automation or improved access to pertinent real-time data.
Adopting warehouse management software with integrations to new and innovative technologies like 5G, AI, and IoT has become crucial in this century. You can use these technologies to gather and archive important logistics data.
Proper placement of warehouse inventory products is also crucial to avoid a cascade of disruptions.
Then, to prepare items for delivery, they must be carefully chosen and packed. Incomplete orders and incorrect delivery information are two common order fulfillment mistakes that still happen. Warehouse managers can effectively decrease these errors by using more vigilant supervision and enhanced picking and packing confirmation protocols.
Final thoughts
In the future, meeting customer needs will be the hardest task for the logistics industry. So, improving warehouse structure and layout by analyzing logistics will help you. Lastly, don’t read Larry Savage Birmingham — Know About The Basics Of Stock Options Trading to keep your fortunes thriving.
#Larry Savage Birmingham#Logistics Challenges#Logistics Expert#Logistics Industry#business owner#business ideas#business strategy
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Navigating the Cloud: Unleashing Amazon Web Services' (AWS) Impact on Digital Transformation
In the ever-evolving realm of technology, cloud computing stands as a transformative force, offering unparalleled flexibility, scalability, and cost-effectiveness. At the forefront of this paradigm shift is Amazon Web Services (AWS), a comprehensive cloud computing platform provided by Amazon.com. For those eager to elevate their proficiency in AWS, specialized training initiatives like AWS Training in Pune offer invaluable insights into maximizing the potential of AWS services.
Exploring AWS: A Catalyst for Digital Transformation
As we traverse the dynamic landscape of cloud computing, AWS emerges as a pivotal player, empowering businesses, individuals, and organizations to fully embrace the capabilities of the cloud. Let's delve into the multifaceted ways in which AWS is reshaping the digital landscape and providing a robust foundation for innovation.
Decoding the Heart of AWS
AWS in a Nutshell: Amazon Web Services serves as a robust cloud computing platform, delivering a diverse range of scalable and cost-effective services. Tailored to meet the needs of individual users and large enterprises alike, AWS acts as a gateway, unlocking the potential of the cloud for various applications.
Core Function of AWS: At its essence, AWS is designed to offer on-demand computing resources over the internet. This revolutionary approach eliminates the need for substantial upfront investments in hardware and infrastructure, providing users with seamless access to a myriad of services.
AWS Toolkit: Key Services Redefined
Empowering Scalable Computing: Through Elastic Compute Cloud (EC2) instances, AWS furnishes virtual servers, enabling users to dynamically scale computing resources based on demand. This adaptability is paramount for handling fluctuating workloads without the constraints of physical hardware.
Versatile Storage Solutions: AWS presents a spectrum of storage options, such as Amazon Simple Storage Service (S3) for object storage, Amazon Elastic Block Store (EBS) for block storage, and Amazon Glacier for long-term archival. These services deliver robust and scalable solutions to address diverse data storage needs.
Streamlining Database Services: Managed database services like Amazon Relational Database Service (RDS) and Amazon DynamoDB (NoSQL database) streamline efficient data storage and retrieval. AWS simplifies the intricacies of database management, ensuring both reliability and performance.
AI and Machine Learning Prowess: AWS empowers users with machine learning services, exemplified by Amazon SageMaker. This facilitates the seamless development, training, and deployment of machine learning models, opening new avenues for businesses integrating artificial intelligence into their applications. To master AWS intricacies, individuals can leverage the Best AWS Online Training for comprehensive insights.
In-Depth Analytics: Amazon Redshift and Amazon Athena play pivotal roles in analyzing vast datasets and extracting valuable insights. These services empower businesses to make informed, data-driven decisions, fostering innovation and sustainable growth.
Networking and Content Delivery Excellence: AWS services, such as Amazon Virtual Private Cloud (VPC) for network isolation and Amazon CloudFront for content delivery, ensure low-latency access to resources. These features enhance the overall user experience in the digital realm.
Commitment to Security and Compliance: With an unwavering emphasis on security, AWS provides a comprehensive suite of services and features to fortify the protection of applications and data. Furthermore, AWS aligns with various industry standards and certifications, instilling confidence in users regarding data protection.
Championing the Internet of Things (IoT): AWS IoT services empower users to seamlessly connect and manage IoT devices, collect and analyze data, and implement IoT applications. This aligns seamlessly with the burgeoning trend of interconnected devices and the escalating importance of IoT across various industries.
Closing Thoughts: AWS, the Catalyst for Transformation
In conclusion, Amazon Web Services stands as a pioneering force, reshaping how businesses and individuals harness the power of the cloud. By providing a dynamic, scalable, and cost-effective infrastructure, AWS empowers users to redirect their focus towards innovation, unburdened by the complexities of managing hardware and infrastructure. As technology advances, AWS remains a stalwart, propelling diverse industries into a future brimming with endless possibilities. The journey into the cloud with AWS signifies more than just migration; it's a profound transformation, unlocking novel potentials and propelling organizations toward an era of perpetual innovation.
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