#Analysis - Custom Essay Writing Service

[mostlysignssomeportents]

Mass tech worker layoffs and the soft landing

As tech giants reach terminal enshittification, hollowed out to the point where they are barely able to keep their end-users or business customers locked in, the capital classes are ready for the final rug-pull, where all the value is transfered from people who make things for a living to people who own things for a living.

If you’d like an essay-formatted version of this post to read or share, here’s a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/03/21/tech-workers/#sharpen-your-blades-boys

“Activist investors” have triggered massive waves of tech layoffs, firing so many tech workers so quickly that it’s hard to even come up with an accurate count. The total is somewhere around 280,000 workers:

https://layoffs.fyi/

These layoffs have nothing to do with “trimming the fat” or correcting the hiring excesses of the lockdown. They’re a project to transfer value from workers, customers and users to shareholders. Google’s layoff of 12,000 workers followed fast on the heels of gargantuan stock buyback where the company pissed away enough money to pay those 12,000 salaries…for the next 27 years.

The equation is simple: the more companies invest in maintenance, research, development, moderation, anti-fraud, customer service and all the other essential functions of the business, the less money there is to remit to people who do nothing and own everything.

The tech sector has grown and grown since the first days of the PC — which were also the first days of neoliberalism (literally: the Apple ][+ went on sale the same year Ronald Reagan hit the campaign trail). But despite a long-run tight labor market for tech workers, there have been two other periods of mass layoffs — the 2001 dotcom collapse and the Great Financial Crisis of 2008.

Both of those were mass extinction events for startups and the workers who depended on them. The mass dislocations of those times were traumatic, and each one had its own aftermath. The dotcom collapse freed up tons of workers, servers, offices and furniture, and a massive surge in useful, user-centric technologies. The Great Financial Crisis created the gig economy and a series of exploitative, scammy “bro” startups, from cryptocurrency grifts to services like Airbnb, bent on converting the world’s housing stock into unlicensed hotel rooms filled with hidden cameras.

Likewise, the post-lockdown layoffs have their own character: as Eira May writes on StackOverflow, many in the vast cohort of laid-off tech workers is finding it relatively easy to find new tech jobs, outside of the tech sector:

https://stackoverflow.blog/2023/03/19/whats-different-about-these-layoffs/

May cites a Ziprecruiter analysis that claims that 80% of laid-off tech workers found tech jobs within 3 months, and that there are 375,000 open tech roles in American firms today (and that figure is growing):

https://www.ziprecruiter.com/blog/laid-off-tech-workers/

There are plenty of tech jobs — just not in tech companies. They’re in “energy and climate technology, healthcare, retail, finance, agriculture, and more” — firms with intensely technical needs and no technical staff. Historically, many of these firms would have outsourced their technological back-ends to the Big Tech firms that just destroyed so many jobs to further enrich the richest people on Earth. Now, those companies are hiring ex-Big Tech employees to run their own services.

The Big Tech firms are locked in a race to see who can eat their seed corn the fastest. Spreading tech expertise out of the tech firms is a good thing, on balance. Big Tech’s vast profits come from smaller businesses in the real economy who couldn’t outbid the tech giants for tech talent — until now.

These mass layoff speak volumes about the ethos of Silicon Valley. The same investors who rent their garments demanding a bailout for Silicon Valley Bank to “help the everyday workers” are also the loudest voices for mass layoffs and transfers to shareholders. The self-styled “angel investor” who spent the weekend of SVB’s collapse all-caps tweeting dire warnings about the impact on “the middle class” and “Main Street” also gleefully DM’ed Elon Musk in the runup to his takeover of Twitter:

Day zero

Sharpen your blades boys 🔪

2 day a week Office requirement = 20% voluntary departures.

https://newsletter.mollywhite.net/p/the-venture-capitalists-dilemma

For many technologists, the allure of digital tools is the possibility of emancipation, a world where we can collaborate to make things without bosses or masters. But for the bosses and masters, automation’s allure is the possibility of getting rid of workers, shattering their power, and replacing them with meeker, cheaper, more easily replaced labor.

That means that workers who go from tech firms to firms in the real economy might be getting lucky — escaping the grasp of bosses who dream of a world where technology lets them pit workers against each other in a race to the bottom on wages, benefits and working conditions, to employers who are glad to have them as partners in their drive to escape Big Tech’s grasp.

Tomorrow (Mar 22), I’m doing a remote talk for the Institute for the Future’s “Changing the Register” series.

Image: University of North Texas Libraries (modified) https://texashistory.unt.edu/ark:/67531/metapth586821/

[Image ID: A group of firefighters holding a safety net under a building from which a man is falling; he is supine and has his hands behind his head. The sky has a faint, greyscale version of the 'Matrix Waterfall' effect. The building bears a Google logo.]

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[peter-pett]

Statistics for the Curious: Understanding Key Statistical Concepts for Non-Math Majors

Why Statistics Matter

Before delving into specific concepts, let's understand why statistics are relevant in various fields:

Data Interpretation: Statistics help us make sense of large datasets, allowing us to draw meaningful conclusions.

Decision Making: In business, healthcare, social sciences, and more, data-driven decisions are crucial for success.

Research: Whether you're conducting scientific research or a market analysis, statistics play a key role in drawing reliable conclusions.

Key Statistical Concepts for Non-Math Majors

Descriptive vs. Inferential Statistics:

Descriptive statistics involve organizing and summarizing data to describe its main features. Common descriptive measures include mean (average), median (middle value), and mode (most frequent value).

Inferential statistics go beyond description and involve making predictions or inferences about a population based on a sample of data.

Probability:

Probability is the likelihood of an event occurring. It is expressed as a number between 0 (impossible) and 1 (certain). Understanding probability helps in making decisions in uncertain situations.

Normal Distribution:

The normal distribution, often referred to as a bell curve, is a common pattern in data. Many natural phenomena, like human height or exam scores, follow this distribution. It's characterized by a symmetrical shape.

Sampling and Sampling Methods:

Sampling involves selecting a subset (sample) from a larger group (population). Common sampling methods include random sampling, stratified sampling, and convenience sampling.

Hypothesis Testing:

Hypothesis testing is a method used to determine if there's a significant difference between two or more groups or conditions. It involves formulating a hypothesis, collecting data, and using statistical tests to make conclusions.

Confidence Intervals:

Confidence intervals provide a range of values within which a population parameter is likely to fall. For example, a 95% confidence interval for the average height of a population might be 160-170 cm.

Statistical Significance:

Statistical significance indicates whether an observed effect or difference in data is likely to be genuine or if it could have occurred by chance. It's commonly used in research to validate findings.

Correlation vs. Causation:

Correlation is a statistical relationship between two variables. However, it doesn't imply causation, meaning that just because two variables are correlated doesn't mean one causes the other.

Regression Analysis:

Regression analysis explores the relationship between a dependent variable and one or more independent variables. It's used for prediction and understanding relationships in data.

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Conclusion: Embracing Statistics with Confidence

Statistics is a valuable tool for making informed decisions and understanding the world around us. By grasping these key statistical concepts and seeking support when needed, you can approach statistical challenges with confidence. For academic guidance, case study assistance, and support in your educational journey, consider exploring the services offered by PaperCoach. They are dedicated to helping learners excel and gain a deeper understanding of the world through case studies. Visit us at PaperCoach to learn more about how we can support your academic and professional endeavors.

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[essaywritertool]

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[effigyofowls]

FG, New OC

Name: Frances Gwen (known in Wonderland as ??? or FG as she calls herself for Faceless Girl) Age: 22 Height: 5′6 Sexuality: demiromantic bisexual Likes: visual novels and certain dating sims, sweet coffee/tea, her pet cat Peaches, walks in the woods, literary/media analysis Dislikes: carbonated beverages, being bored (more to come as I make her) Hobbies: writing fanfiction/in-depth essays on her fictional faves, experimenting with drink recipes, people-watching, making collages, filming Peaches or herself doing rants/raves about topics Backstory: she was a regular young gal who was a fan, and was especially into HNKNA, then ends up in Wonderland as a faceless and gradually works several jobs as she’s killed/brought back several times (how/why? who knows, she doesn’t and it’ll eventually make her freak ⊙.☉)

She tends to talk like a vtuber/someone who does video essays about media when she’s alone to cope with being lonely and not knowing how to talk to anyone about her situation

She feeds/talks to any of the stray cats in Wonderland, eventually earning a reputation as a cat lady (😂)

She protects her coworkers and takes the fall for them if a roleholder directs their wrath towards them

She appreciated the faceless before she ended up in Wonderland but realized how they truly are/their lives outside of the roleholders and what a crappy deal they got and resolved to help them whenever and however she can

Preferred weapon is a knife, becomes fascinated by them after a while

Ends up being quite skilled in sanitation work/customer service from all the jobs she’s had

#I know she has a face but since there's not much dressups where you can be faceless this had to do... #it's mostly how she looked b4 she ended up in Wonderland anyway (since she changes all the time) #I might make a doodle of her later idk #usamun #usa's ocs #anyway that's all I have about her for now but feel free to ask about her/talk to me about HNKNA/OCs and whatnot!!

[starks-spareparts]

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[aiwriterkpo]

Polish Your KPO Copy: Free Online AI Writer for KPO

In the realm of Knowledge Process Outsourcing (KPO), the advent of Artificial Intelligence (AI) has ushered in a new era of efficiency and productivity. Among the myriad AI-powered tools, the AI Writer for KPO stands out as a transformative force, revolutionizing the way businesses handle content creation, data analysis, and information processing. In this essay, we delve into the capabilities and impact of AI Writer for KPO, exploring its potential to redefine traditional outsourcing practices. The AI Writer for KPO embodies the fusion of advanced natural language processing algorithms with machine learning techniques, enabling it to generate high-quality content autonomously. Whether it’s crafting blog posts, reports, or product descriptions, AI Writer can produce coherent, engaging, and error-free content in a fraction of the time it would take a human counterpart. By harnessing vast datasets and sophisticated language models, it can adapt its writing style to suit various industries and target audiences with remarkable precision. One of the primary advantages of employing AI Writer for KPO is its ability to streamline content production processes. Traditional outsourcing often involves extensive coordination between clients and service providers, leading to delays and miscommunication. In contrast, AI Writer operates round-the-clock, delivering content on demand without the need for human supervision. This not only accelerates turnaround times but also reduces operational costs, making it an attractive solution for businesses seeking to optimize their KPO workflows. Moreover, AI Writer enhances the scalability of KPO operations by eliminating resource constraints associated with human writers. Whether scaling up to meet growing demand or tackling large-scale projects with tight deadlines, businesses can rely on AI Writer to maintain consistency and quality without compromising on speed. This scalability factor is particularly beneficial for enterprises operating in dynamic industries where agility and adaptability are paramount for success. Furthermore, AI Writer augments the analytical capabilities of KPO providers by extracting insights from vast volumes of unstructured data. Through sentiment analysis, trend identification, and topic modeling, it can distill complex information into actionable intelligence, empowering businesses to make informed decisions swiftly. This analytical prowess extends beyond content creation, encompassing market research, competitor analysis, and customer profiling, thereby enriching the value proposition of KPO services. Despite its undeniable benefits, the integration of AI Writer into KPO workflows necessitates careful consideration of ethical and regulatory implications. Concerns regarding data privacy, intellectual property rights, and algorithmic bias must be addressed proactively to foster trust and transparency between stakeholders. Additionally, ongoing investment in talent development is crucial to ensure that human workers can adapt to the evolving role of AI in KPO, focusing on tasks that require creativity, critical thinking, and domain expertise. In conclusion, AI Writer for KPO represents a paradigm shift in the outsourcing landscape, offering unparalleled efficiency, scalability, and analytical capabilities.

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[goodmanlantern]

The Future of AI Content Writing – How Will It Impact Your Business?

The world of marketing is rapidly evolving. Artificial intelligence (AI) content writing, especially, has been making waves in recent years. The latest algorithms have become capable of generating high-quality deliverables tailored to specific audiences. 

However, this has left many businesses confused about how this advanced technology works and anxious about how it impacts them. In fact, less than 50% of consumers believe they understand AI tools.

As a business owner or marketer, you surely want to stay ahead of the curve and improve your business. As AI content writing tools flood the market, it’s crucial to understand their effects in your sector. 

This blog will explore the future of AI content writing and its impact on businesses. We’ll explore the limitations of AI content writers and how human writers can help offset the drawbacks. This can help you make an informed decision on how to best use AI in your marketing strategy. 

What is Artificial Intelligence Content Writing?

Artificial Intelligence (AI) content writing tools use computer algorithms to generate text. They especially use a process known as natural language processing (NLP). It uses algorithms to teach computers to understand, interpret, and generate language. 

The algorithms analyse large amounts of data and use it to produce human-like responses correspondingly. With NLP, AI can write simple pieces like product descriptions and markedly more complex ones like legal documents. 

Several AI content writing tools are available today, each with unique features and capabilities. Some examples of popular AI tools include GPT-3, Jasper, and Article Forge. GPT-3 is a language processing tool that can generate a wide range of deliverables, including articles, essays, and even poetry. 

Jasper is an AI copywriting tool that can create compelling headlines, social media posts, and ad copy, amongst other texts. Article Forge is another tool that can create unique articles on any topic. 

Much like the diverse range of novel AI technologies, the consequences of these tools on the future of many industries are also far-reaching. Let’s dig a little bit deeper into the impact AI content writers have on businesses.  

How Will The Future of AI Content Impact Your Businesses

Artificial intelligence content writing is revolutionising how we approach marketing. AI content writers have become a sophisticated and powerful tool. The result is a new era where businesses can concurrently create highly targeted and personalised marketing campaigns at scale. 

Here are some glimpses into the future of AI content and how it will affect your business:

1. Improved Natural Language Processing

A huge advancement in artificial intelligence content writing is indeed the improvement of natural language processing (NLP) algorithms. Simply put, NLP is the ability of machines to understand and interpret human language. It has a wide range of applications, from language translation to chatbots. This surely makes it an evolving field that’ll lead to new and innovative ways of interacting with machines. 

NLP enables computers to better understand and interpret human language. This can help you automate various processes, such as customer service and data analysis. Newer NLP tools can also better comprehend the information from web pages. AI content writers can analyse audience preferences and identify sentiment and trends. Human writers can use these improvements to create text that’s better tailored to the target audience. 

Improved NLP algorithms make the future of AI content writing promising. AI content writers can automate research, outlining, and writing tasks. They can analyse vast amounts of data in seconds. This eventually enables human writers to create high-quality, engaging content in less time. 

For instance, bloggers who use AI spend about 30% less time writing a blog post. And AI can increase business productivity by 40%. Having content writers use AI to create at scale and at a faster rate is crucial in today’s fast-paced digital landscape, where sharing timely content ensures your brand stays relevant and competitive.  

2. Better Understanding of Context and Tone

Artificial intelligence content writing tools are undoubtedly getting better at understanding context and tone. This helps in two ways. First, AI can better analyse the context and tone of the web pages it reads. This, in turn, helps the algorithm write text in the desired tone and style. 

For example, if a blog needs to be convincing, AI can use persuasive language to create a more compelling piece. The right use of tone is crucial. If the tone of the final product is inappropriate or insensitive, it can negatively impact your brand’s reputation.  

The future of AI content also includes newer tools that can ensure consistency in tone and style. By analysing your business’s existing marketing materials, these tools can create text that adheres to your brand’s voice. This ensures that the AI-generated piece doesn’t diverge from your brand identity but reinforces it. 

A strong, consistent brand voice has many perks. Readers who encounter a marketing campaign with a clear voice are more likely to recognise and engage with your brand. This results in more engagement and conversion. A powerful brand voice also helps to establish your company as a thought leader in its industry, which boosts credibility and trust.

3. Ability to Generate Unique and Creative Text

Artificial intelligence content writing has faced criticism for producing generic and unoriginal text. But improved tools can now generate unique and creative material. With the help of deep learning algorithms, artificial intelligence content writing tools can find original and insightful angles to the prompts given. 

The ability to generate creative text means content writers can use AI tools to generate versatile marketing material. This can help your business diversify its marketing offerings and experiment with new formats. It can also increase your output and engagement with your audience. In this way, AI tools boost human creativity, leading to better business marketing. 

The versatility of AI content writing also helps with scalability. With AI, content writers can easily scale your brand’s marketing depending on the needs of your business. This scalability is particularly important if your business experiences seasonal fluctuations in demand or sudden spikes in traffic. 

You can use AI and content writers to effectively ramp up your marketing efforts. These tools can indeed meet these needs without incurring more costs or using more resources. This makes AI a valuable solution for businesses looking to stay nimble and adapt to changing market conditions.

4. Improved Personalisation and Customisation

Personalisation and customisation are essential to building strong customer relationships. Artificial intelligence content writing can help create highly targeted, personalised marketing material. Such pieces speak directly to the needs and interests of your target audience. 

Content writers can use AI tools to analyse user data such as search history, browsing behaviour, and social media activity. This information can help create tailored marketing campaigns to individual preferences and interests.

Personalisation shows that your brand understands the audience’s unique needs. It also reaffirms your brand’s commitment to providing relevant and valuable communication. Personalisation also increases the relevance of your brand’s message to your readers. This makes customisation essential for driving engagement and conversion. 

AI and content writers combined can help build trust and loyalty with your audience by creating messaging that resonates with readers. This can help increase sales and conversions eventually. 

Limitations of Artificial Intelligence Content Writing

As with any technology, there are limitations to what artificial intelligence content writing can achieve. While the future of AI is nearing, there are still some areas where content writers have the upper hand over AI. 

Limited Creativity 

While AI content writing can produce high-quality final products, it’s still limited in creativity and originality. Computers also struggle with harder linguistic problems. AI relies on existing data and patterns to create text. 

This can sometimes result in formulaic or repetitive phrases. Human content writers bring a fresh take that AI cannot match. They are better equipped to write text that explicitly engages and resonates with readers on an emotional level.

Lack of Emotional Intelligence 

AI content writing tools cannot understand or interpret emotions, humour, sarcasm, or irony. They lack the emotional intelligence and context that human writers possess. This can sometimes result in inappropriate or misinterpreted messaging. 

For example, an AI content writing tool may generate a seemingly humorous message. But it could come across as insensitive or offensive to some readers. Human content writers have an emotional intelligence that AI cannot replicate. 

Quality Control 

While AI content writing tools can quickly generate a large text volume, the quality can vary. Human oversight is still necessary to ensure the piece is accurate, relevant, and meets the brand’s standards. Content writers must review and edit the AI-generated text to ensure consistency in tone, style, and messaging.

Limited Scope 

AI content writing tools are currently limited to generating text-based pieces. This includes blogs, case studies, and social media posts. They cannot produce more complex materials like videos, podcasts, or interactive quizzes. This limits what businesses can create using AI content writers. They may still need to rely on human writers for more specialised or complex deliverables.

How Can Your Business Make the Most of AI Content Writing?

As artificial intelligence content writing continues to evolve and improve, the future of AI content looks promising. Better natural language processing and context recognition will lead to more accurate results. More nuanced personalisation will also make AI-generated text more relevant to audiences. As you learn to use this tool better, it will save time and improve scalability. 

You can go on to automate routine tasks, improve marketing output, and reduce costs and errors. According to a Statista survey, 66% of people say AI reduces human error. This means AI content writers can perform the heavy lifting of parsing, analysing, and dissecting enormous amounts of data. The results can free human writers to focus on more creative and specialized tasks.  

We can expect AI content writing tools to become even more sophisticated. They will gain the ability to generate text in multiple languages. These tools could then recognise and incorporate diverse perspectives and maybe even predict and adapt to changing trends and interests.

The future of AI content writing is undoubtedly exciting. You should embrace this technology to stay ahead of the competition and deliver high-quality messaging to your audience. According to Microsoft, 90% of the leading businesses have invested in AI technologies. However, only 14.6% have effectively deployed AI capabilities in their work. 

Combination of AI and Human

Incorporating AI content writing into a marketing strategy can be daunting. AI content writing tools are excellent at quickly generating large amounts of content. However, they lack the creativity and nuance that human writers bring. 

By combining AI with human creativity, you can surely produce efficient and effective content. This can certainly help your business stand out in a crowded digital landscape and run more impactful campaigns.

Connect with Goodman Lantern

Our team of skilled content writers use the latest AI technology to create marketing campaigns that engage and convert. With years of experience in the industry, we understand the importance of personalised, high-quality messaging that reflects your brand and resonates with your target audience accordingly. Book a discovery call today to learn more about our AI content writing services.

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[theaccountingsavvy]

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