ai writing jobs
AI Writing Jobs: The Future of Content Creation
On September 12th OpenAI made great noise in the world. Their language model called GPT-3 (273GB, 175 Billion parameters) was finally released. I remember when, at the end of October 2019, OpenAI released the predecessor of GPT-3, GPT-2 (24GB, pre-training stages from 117M to 1.5B parameters). I was excited and also eloquent. GPT-3 is much more powerful and can generate entire news articles in various languages which are almost human-like in style. Given that GPT fielded very well not only in the English speaking culture but also in several other European ones, journalists and bloggers in the AI world have acknowledged it as the introduction of a very important milestone for us. Not to mention what scientists are saying and doing to create increasingly better and powerful Generative models (let’s just think about DALL-E and CLIP). As understandable, the company that created GPT-3 decided not to release it publicly as they had done with the previous model, but to keep it within OpenAI (stressing how dangerous the new model could be in the wrong hands).
Today I am 100% convinced that we are witnessing the birth of the Generative Economy. It’s a future where everything (data, text, images, videos, audio recordings, software, etc.) will be visibly and perpetually created by Generative models which work thanks to the GAN technology. These Generative models are fed with data from the real world and can generate anything we asked them for. And in the near future all these generative models will be connected with each other, because the real intelligence is only in doing it alone. This will change not only our way of living with technology, but will definitively create a new kind of “Epistemic Society”.
The flexible working system associated with AI writing jobs is one of the biggest pulling factors. The type of work schedule and the amount of work done is at the discretion of the writer. This can help fill in the time gap at the start of a new year or give a part-time worker the opportunity to earn more based on flexible routines apart from the regular vocation. The requirement for these AI tasks is having a reliable computer accessed to the internet and be at least 18 years old, which means there is no educational background restriction. This appeal has broadened the scope of writers into the millions, thereby solving the problem of unemployment further.
It is no news that AI-enhanced services have come to stay. Thus, it is refreshing to know the numerous benefits surrounding AI writing jobs. There are countless fulfillment of jobs available on secured venues and platforms for every level of writer, ranging from novice to pro, specially equipped with machine intelligence. The monetary incentives alone are mouth-watering, enough to force a lifetime change from another type of vocation just to focus on AI writing jobs full time. The HiSky platform, for instance, usually pays in HI credits which can be changed into Ethereum subsequently. The future of work and corporate responsibility is laid bare on the AI writing jobs platform.
In a presentation for the Presidential Commission for the Study of Bioethical Issues, Tatiana Gossen (2019) created a survey to rate possible threats developing from writing AI models, which were completed by experts like scholars and journalists. 35.2% think that increased use of AI in content creation leads to an utter disaster, more than 20% anticipate substantial reductions in job opportunities and a decrease in independent writing. In contrast, only 1.2% are pessimistic regarding the performance of a future AI functioning totally error-free and as efficiently as a human writer does. Considering the available AI models such as GPT-3 (Brown 2020), BERT (Devlin et al. 2019), and MST (Guu et al. 2020), including Gossen’s survey, writing AI is thought to leave workers jobless and consequently affects the quality of writing and the social and cognitive development.
Writing is more than just a craft; it is the ability to express thoughts by putting words, sentences, and paragraphs together. Nonetheless, one could not simply attach an AI like GPT-3 or Ryan-scheme to a webpage like Upwork or Fiverr to outsource writing-related jobs and problems. For the time being, there are only limited publishers and companies capable of affording a huge AI pricing to headline their content, with freelancers worldwide happy about the rates the AI is unable to afford. Therefore, this paper simultaneously presents the dream job of the future and the restrained reality. The following paragraph introduces similarly restricted writing AI models, whereas the subsequent sections inform about the impacts companies may face.
Based on the knowledge tests presented by Christmann and Stahl, what would a future set of questions look like for AI writing? What weaknesses and limitations lay ahead for these machines? In Yang’s research, they discussed an overlooked but important limitation of these language models as part of an ongoing discussion in the fields of AI ethics and responsibility. They tackled how models are capable of solving human subject-verb agreement sentences at a 60-70% accuracy, lowest amongst advanced models, reminding readers that these statements are learned from data where true understanding of the content has not been achieved.
Quite often, the job postings we see for AI writing do not specify which skills are actually required, what experience and expertise these roles entail, or how these skills are typically used. So, what types of skills should a candidate have to be competitive in the coming job market for AI writers? Drawing upon the collective work of Christmann and Stahl, Goodfellow and Bengio, as well as the 2021 OpenAI paper on GPT-3, these tasks can be categorized under more established AI problem types.
The recent advancements in artificial intelligence have introduced us to new ways to create content in the form of writing systems or skill sets. Since the birth of AI Guru and his ever-growing creation of GPT-3, there has been a plethora of these kinds of tools, and with them, a variety of writing jobs have become available. While AI writing models may be able to write short stories, marketing copy, blogs, and journalist pieces, these typically still require some human intervention. They’re not as powerful for all forms of writing, especially in the face of some unique challenges.
Creating products or services and making a brand, marketing material or journalistic and narrative work for them, I believe, will continue to be a responsibility of human beings. This concept is very similar to what the AI Writer Pro says: the very idea is the wave of words. This is great because while the machines are taking care of repetitive monotonous work, people can spend time on innovative and differentiating tasks that machines still cannot do. And there is a lot. This is life, We made the machines to win physical work for us, and that was the best thing we could do. With the wave of AI writing jobs the machines are taking over the emotional work of the writing. With that, we can and should dedicate ourselves to the beautiful work of browsing the digital stack, to find the love, to conduct installations and repairs and without forgetting our essence: to build value. Having said that, what is the guarantee that the machine will not always like us? What guarantees that robots will not replace us? It is hard to say, but one thing is certain, AI writing jobs are one of the signs that the future will be reformulated and it is necessary that we are ready for change.
Like I said at the beginning, we’re still a long way from a future where absolutely all writing is generated by a machine. It’s no secret that AI Writer Nor is behind my own writing work, but I am writing this article right now. A sound of my creation has a lot of my personal flair. The thing is, creating products or services and doing a brand, marketing material or journalistic and storytelling work for them, I believe, will continue to be the responsibility of human beings. The concept is, as AI writer Pro says, the very gooser of words. This is great because while the machines are taking care of the monotonous and repetitive work, humans can dedicate themselves to saying. And innovation, which is just one of bringing the machine to the next level. It’s like life, the machines took industrial physical labor from us and we are all better off for it. With AI writing jobs on the horizon, the machines are taking emotional work.
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