Tech – Morgan Editing https://morganediting.com An editorial blog. Mon, 27 Apr 2026 20:27:22 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 https://i0.wp.com/morganediting.com/wp-content/uploads/2024/08/cropped-1nS2ct-LogoMakr-favicon-3.png?fit=32%2C32&ssl=1 Tech – Morgan Editing https://morganediting.com 32 32 194906956 How AI Is Shaping the Future of Academic Publishing in Canada https://morganediting.com/how-ai-is-shaping-the-future-of-academic-publishing-in-canada/ Mon, 14 Jul 2025 20:28:16 +0000 https://morganediting.com/?p=2288 AI is doing more than just writing emails these days. It’s now helping researchers summarize papers, pick journals, clean up writing, and even recommend reviewers. And it’s doing all this in record time.

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robot holding a research paper

Academic publishing in Canada is changing fast and artificial intelligence (AI) is a big reason why. 

Whether you’re a student, researcher, or just someone curious about science, you’ve probably heard that AI is doing more than just writing emails these days. It’s now helping researchers summarize papers, pick journals, clean up writing, and even recommend reviewers. And it’s doing all this in record time.

But while the tech is exciting, it’s also raising questions: Who controls it? Is it fair? And what happens to human authors when machines start taking on their work?

The Rise of AI in Research

AI is becoming a regular part of the research process. Tools like ChatGPT and other language models are used to draft text, summarize articles, suggest citations, and clean up grammar. Publishers are using AI to screen submissions, detect plagiarism, and match papers with reviewers.

As journalist Diane Peters from University Affairs explains, many academics already use AI‑enabled grammar checkers and translators. Generative AI can also conduct literature searches and help build reviews.

In this way, AI acts like an assistant that never sleeps.

That said, there’s a consensus that AI can help, but it can’t be listed as an author. Publishers like Elsevier, Springer Nature, and Canadian Science Publishing have all said only humans can take responsibility for research.

Rapid Growth

This trend isn’t small. 

In 2024, a Grand View Research report estimated that the Canadian market for AI in academic publishing—about USD 37 million in 2023—could grow to over USD 180 million by 2030.

Research is pouring out daily, and AI helps sort it all, highlight key findings, and even translate science into plain language.

Open Access: Still a Work in Progress

Canada supports open access, the idea that publicly funded research should be free for anyone to read. But it’s not quite there yet.

Right now, if a researcher is funded by the government, they usually have to make their paper open within 12 months of publication. That’s called an embargo. 

But by early 2026, new rules from the Tri-Agency (Canada’s main research funders) are expected to require immediate open access, no delays.

AI tools also make open access papers easier to find and digest, leading to better knowledge sharing, especially for students, independent scholars, and the general public.

Challenges and Concerns

AI is useful but it’s not perfect. Bias is one big issue. 

Since AI learns from existing data, it may favor dominant regions, institutions, or languages, and overlook voices from Indigenous or underrepresented researchers.

There’s also growing concern about AI writing parts of papers. Most publishers, including Elsevier and Springer Nature, ban listing AI tools as authors. They argue that real responsibility lies with human authors.

Cost is another worry. Cutting-edge AI tools often come with high fees. If only well-funded labs can afford them, smaller schools and early-career scholars could fall behind.

The Road Ahead

AI isn’t going away. It is becoming part of the academic resources, alongside databases, citation managers, and peer review processes. The real challenge is ensuring fairness and accuracy.

Canada is responding. New funding rules, open access reforms, and ethical AI guidelines are in the works. Leading voices encourage a balance between innovation and responsibility.

With thoughtful design—mixing smart tools, strong rules, and human oversight—Canada has a real chance to build a fair, open, and tech-savvy academic publishing system.✿

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]]> 2288 How Humans Train Large Language Models: 5 Steps https://morganediting.com/how-humans-train-large-language-models-5-steps/ Fri, 30 May 2025 03:17:10 +0000 https://morganediting.com/?p=2224 AI requires a huge amount of written words to begin producing text before it starts generating any output. The training data includes all forms of text from books to articles and websites and even conversations.

Researchers collect text data from all parts of the internet to construct the foundation of the AI model. The AI lacks the capacity to understand words like a human being.

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Introduction

ChatGPT alongside Google’s Gemini and other LLMs have stunned everyone with their capacity to generate text in a way that resembles human speech. 

These models display capabilities which include story creation alongside question response and conversation performance that seems natural. How exactly do these models achieve such effective communication? 

The solution involves a mixture between advanced computational power and extensive text information and essential human direction. In this article, we will explore the process of human involvement in training AI models.

Step 1: Feeding the AI a Lot of Text

AI requires a huge amount of written words to begin producing text before it starts generating any output. The training data includes all forms of text from books to articles and websites and even conversations. 

Researchers collect text data from all parts of the internet to construct the foundation of the AI model. The AI lacks the capacity to understand words like a human being. 

The AI develops knowledge by identifying regularities in text patterns through learning which sequences of words tend to appear together.

Step 2: Teaching the AI to Predict Words

After obtaining a massive text dataset, the AI begins to discover word relationships. Neural networks function as powerful computer systems that conduct the training process. 

The system provides a sentence with an omitted word to the AI for it to make a prediction about which word should replace it. The system makes adjustments after every incorrect prediction with the goal of improvement for the next attempt. 

The AI repeats this process millions or billions of times until it develops exceptional word prediction abilities.

Step 3: Human Trainers Take Charge of the Process

AI benefits from data learning but still requires human intervention to reach its full potential. This is where trainers come in. 

These trainers interact with the AI, asking it questions and rating its responses. When the AI produces an unusual or erroneous answer, trainers provide feedback to direct the AI toward creating better responses. 

The human assessment plays a vital role because it enables the AI to grasp what constitutes a helpful response as well as polite or amusing interactions.

Step 4: Reinforcement Learning—Making AI Smarter

The AI receives extensive training from text data combined with human feedback before undergoing reinforcement learning. It receives ongoing improvement through feedback input from human evaluators. 

The AI system receives ranking feedback from trainers regarding multiple responses starting from the best to the worst and uses this information to learn. 

The system gradually enhances its ability to deliver precise and useful answers while also improving the entertainment value of its outputs.

Step 5: Avoiding Mistakes and Biases

The technology exhibits imperfections through sporadic mistakes and preserves existing biases. 

Research teams together with human trainers dedicate themselves to decreasing errors in the system. Researchers eliminate dangerous content from training data then modify the AI to operate within established ethical standards. 

The system operates to provide maximum fairness and helpfulness in its output.

Conclusion

The Large Language Models demonstrate impressive capabilities yet they need human assistance to function. 

These models need extensive text information along with sophisticated computing training and, most critically, human trainers to direct them. 

As AI systems advance, human oversight will play an essential role in enhancing their accuracy while maintaining ethical standards to benefit all users.✿

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]]> 2224 Biotech Breakthroughs: Will Lab-Grown Meat and Gene Editing Transform Humanity? https://morganediting.com/biotech-breakthroughs-will-lab-grown-meat-and-gene-editing-transform-humanity/ https://morganediting.com/biotech-breakthroughs-will-lab-grown-meat-and-gene-editing-transform-humanity/#comments Sun, 30 Mar 2025 21:54:07 +0000 https://morganediting.com/?p=2150 Human gene editing raises two fundamental questions: Should people have access to gene editing technology and what boundaries should exist regarding human genetic modifications?

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A scientist creating lab-grown meat.

The future of biotechnology in 2025 shows unprecedented development through lab-grown meat and gene editing technologies that lead to revolutionary changes.

These technological advancements show potential to transform food manufacturing alongside medical care while simultaneously affecting human evolutionary development.

The innovative techniques produce critical moral, financial and wellness questions. Are we prepared for this biotech-driven future? We need to examine the potential effects.

What is Lab-Grown Meat?

Scientists develop lab-grown meat by cultivating animal cells inside controlled containers outside animal bodies.

This new production approach enables meat manufacturing to happen without raising traditional livestock which might address environmental issues and ethical questions related to animal meat consumption.

The companies Upside Foods, Eat Just, and Mosa Meat pursue commercialization of this technology to deliver lab-grown meat to stores and dining establishments.

Potential Benefits

Meat production from traditional livestock operations remains among the leading causes of greenhouse gas emissions as well as deforestation and water utilization. The production of lab-grown meat demonstrates a promising solution to minimize the environmental effects of the meat industry.

A study from Oxford University indicates cultivated meat could decrease traditional beef production emissions by 96% which represents a major environmental benefit.

Lab-grown meat provides an animal rights-friendly solution for consumers who want to eat meat but dislike animal slaughter.

Engineered cultivated meat allows scientists to remove antibiotics and hormones and eliminate harmful pathogens that commonly occur in factory-farmed meat products thus lowering antibiotic resistance risks and foodborne diseases.

Nutritional Concerns

The protein structure of conventional meat found in lab-grown meat is replicated yet scientists continue their efforts to ensure the presence of essential nutrients like vitamin B12 that naturally occurs in animal products, helps maintain nerve function, and produces red blood cells.

The human body absorbs heme iron which exists in animal meat better than iron compounds derived from plants.

The brain and heart require omega-3 fatty acids which are present in fish together with certain meats.

The nutritional value of lab-grown meat requires artificial nutritional enhancement if it fails to include essential nutrients such as vitamin B12, iron, and omega-3 fatty acids. The research team works to develop methods which enable natural vitamin and mineral manufacturing during lab-based cell cultivation.

Challenges & Costs

The expensive nature of lab-grown meat production stems from the high costs of cell culture media combined with bioreactor technology. The decreasing price trend of cultivated meat will require multiple years before it reaches parity with conventional meat products.

The general public expresses doubts about consuming lab-grown meat because they doubt its taste and texture and worry about future health consequences.

The public needs to understand how lab-grown meat is produced because clear explanations will build trust among consumers.

What is Gene Editing?

Scientists utilize CRISPR gene editing technology to make precise modifications to DNA sequences.

Scientists have achieved this breakthrough which enables them to prevent genetic diseases while improving human abilities as well as shape DNA traits across future generations.

Potential Medical Breakthroughs

Medical professionals employ gene therapy to treat patients suffering from sickle cell anemia as well as muscular dystrophy and several types of blindness.

Research teams investigate methods to stop inherited illnesses such as cystic fibrosis and Huntington’s disease and particular cancer types from being passed down.

Researchers study gene editing techniques for potential applications in slowing down human aging by controlling cellular repair and longevity-related genes.

Through gene editing patients can grow new organs from their own cells which would eliminate organ transplant requirements while making rejection impossible.

Creation of Designer Babies

Gene editing technology enables remarkable medical applications yet sparks moral debates about human genetic modification:

Do parents have the right to choose specific traits such as intelligence level, physical attributes, or eye shade for their children?

Genetic enhancements might produce more social distance between individuals who have access to these technologies and those without access.

Modifying genes might produce unforeseen health problems due to unexpected side effects.

Accessibility and Inequality

Biotech innovations will deepen economic inequalities because gene editing and lab-grown meat technology will remain expensive for many people.

The limited access to genetic enhancements along with healthier lab-cultivated foods will cause health and life expectancy gaps to grow between wealthy and poor populations.

Unintended Consequences

New side effects frequently accompany technological developments in biotechnology.

The disease elimination capabilities of gene editing might produce unintended genetic mutations that appear as side effects.

Researchers continue to investigate how lab-grown meat production affects the environment.

Bioreactors at large scale need substantial energy resources for operation and the durability of this technology beyond the present remains unclear.

The Big Questions for 2025 and Beyond

The future of lab-grown meat production and gene editing technologies requires us to address essential questions.

Will lab-grown meat establish itself as a common replacement for conventional meat products?

The nutritional value of lab-grown meat will require supplements to match natural meat unless it reaches full nutritional equivalence.

Human gene editing raises two fundamental questions: Should people have access to gene editing technology and what boundaries should exist regarding human genetic modifications?

Biotech advancements pose unknown risks that could damage both natural environments and human societies.

Conclusion: Are We Ready for the Future?

Biotechnology has started transforming our world by creating promising prospects and multifaceted moral challenges.

The potential of lab-grown meat as a sustainable food choice exists but its high cost and consumer skepticism and nutritional doubts need resolution.

Gene editing possesses the ability to cure diseases yet it generates substantial concerns regarding human genetic modification and social disparities.

These breakthroughs will continue to spark increasingly intense discussions. Our current decisions about biotechnology will establish both scientific progress and human destiny.✿

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]]> https://morganediting.com/biotech-breakthroughs-will-lab-grown-meat-and-gene-editing-transform-humanity/feed/ 1 2150 From Cubicles to Cloud: The Future of Remote Work https://morganediting.com/from-cubicles-to-cloud-the-future-of-remote-work/ Thu, 30 Jan 2025 04:40:31 +0000 https://morganediting.com/?p=2085 The statements made by the senior executives of various companies during the pandemic that remote work was effective and could be made permanent were no longer applicable. This time the issue was not only the necessity of face-to-face communication but also the fear of reduced productivity.

To the companies, it became more effective to work from the office. It also became more cost-effective to downsize the workforce although many companies had grown financially during the pandemic.

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A woman dressed casually sitting at a desk and typing on a laptop.

January 2025 — Three Canadian unions with more than 330,000 workers launched a campaign for remote work. The unions got together to require the federal government to have flexible work arrangements.

Sharon DeSousa, the national president of the Public Service Alliance of Canada (PSAC) said, “The evidence is clear: remote work is good work.”

The Backstory

The world has undergone significant change in the aftermath of the global pandemic.

Before the widespread invasion of COVID-19, the concept of working from home was not even thinkable to many people.

It seemed to be a given that the best way to work was to be at the physical business of the company one was employed in.

About 7% of Canadians worked remotely in May 2016, according to Statistics Canada, compared to 40% in April 2020, and 20% in November 2023.

The concept of telecommuting was first suggested in the 1970s by rocket scientist Jack Nilles but the available technology at the time could not facilitate its widespread adoption. 

In 2020, with the advancement in technology, including the Internet, email, Software-as-a-Service (Saas), and personal computers, those technological limitations were no longer an issue. 

It was the pandemic that finally pushed the telecommuting model into a feasible and popular one. 

As more and more people were diagnosed with COVID-19, it became a concern to keep people from being in close quarters. Before long, companies had to find a way to continue operations with people’s bodies being missing from the office. 

In comes the work-at-home initiative to maintain productivity. Those who had the coronavirus and were still capable of working could do so from the safety of their homes. 

Employers could still run their operations and employees could reduce their exposure to traffic congestion—a win-win, if you will.

While lockdowns lasted, many employers had to send a large number of their employees to work from home. But when the vaccine did its magic and people started to feel normal again, the employers’ demand to go back to the office cubicles followed suit.

The Pushback

The take-up rate of remote work is different according to the industry, area, and level of employment. 

Some sectors including technology, financial services, business and professional, creative, media and entertainment have easily integrated remote work into their business models while others such as healthcare and manufacturing have stuck to the conventional method of work. 

When the first return-to-office plans started to emerge in 2021, it was the employees who were able to work from home who complained. They did not want to lose the flexibility that remote work provided. 

Employees valued remote work so much that some of them were willing to leave their jobs if they were to be asked to work from the office full-time. 

However, several big companies issued policies that stated that their employees had to go back to the office. Some of those companies include Google, Amazon, JPMorgan, and Zoom. The federal government workers were also expected to be in the office three days a week. 

The statements made by the senior executives of various companies during the pandemic that remote work was effective and could be made permanent were no longer applicable. This time the issue was not only the necessity of face-to-face communication but also the fear of reduced productivity. 

To the companies, it became more effective to work from the office. It also became more cost-effective to downsize the workforce although many companies had grown financially during the pandemic. 

The industries that have embraced remote work, for example, tech industries, have had increasing layoffs. In 2023, in an open letter to his employees, the CEO of Meta, Mark Zuckerberg announced, “Our initial analysis of the performance data suggests that engineers who either joined Meta on-site and then moved to remote or who joined remote performed, on average, worse than those who joined in-person.” 

In the same letter, he announced the layoff of about 10,000 people. As a result of increasing layoffs, many employees have had to comply with their return-to-office policies.

The Compromise

The concept of the hybrid work model appeared after the pandemic as a middle ground between the approaches of companies and employees.

Working remotely has many benefits for both the employees and the organizations. The employees get flexibility, better work-life balance, and low costs associated with travel and child care. 

As for the employers, they are able to hire from a larger talent pool, have lower costs, and often, higher productivity from a happy remote team. This way, the environment also benefits from reduced pollution and a smaller carbon footprint. 

According to a Statistics Canada study, if all the eligible remote workers in 2015 had worked from home, transportation emissions could have been reduced by 9.5 megatonnes or 12 percent of the household transportation emissions that year. 

Some issues are there and the primary concern is that of isolation of employees as certain workers face problems with less social interaction and teamwork. Furthermore, issues regarding career growth also come into the picture since remote employees may have limited opportunities for networking and visibility within the company. 

Therefore, to make remote work sustainable, businesses must tackle these issues by improving communication, providing mental health services, and spending on digital tools. Hence, it can be predicted that the trend of remote work will increase further in the future. 

It is anticipated that most organizations will adopt a hybrid model, which will combine the advantages of remote work and in-person work. Organizations that adapt to this change and devote themselves to their remote employees will be well-equipped for the future in a world that is increasingly connected. 

The Canadian federal unions have backed remote work, hence flexible work arrangements are still under consideration as the pushback persists. The unions said, “We are also calling on the public to join the movement and support remote work — not only for the federal public service, but as a new standard for workplaces across the country.”

Conclusion

Remote work is here to stay. There are challenges, but the flexibility, more job opportunities, and technological development are worth it. 

By solving the problem of the absence of connectivity, by improving the remote work policies, and by creating a solid digital workplace culture, companies can succeed in the future of work. 

PSAC’s research shows that remote options and flexible work arrangements are critical for attracting and keeping the right employees.

As individuals, businesses, and policymakers continue to adapt, one thing is clear—remote work is not just a trend but a fundamental shift in how we work and live.✿

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