The Truth Behind AI Text Genrator

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The Truth Behind AI Text Generators
Empowered by machine learning and natural
language processing, AI-text generators are the
latest rage, but the truth isnt so black and
white.
AI development is accelerating at a pace that is
unfathomable to many. Though AI-powered tools
such as text generators are exceptionally swift,
theres a dark side to it that we
must contemplate.
But before we dive into the ramifications, lets
understand how an AI-powered text
generator works.
It is a computer program that imitates human
writing and is adept at language structure
and patterns. Following a prompt, an AI text
generator uses ML algorithms to create human-like
text. These tools can work wonders for
businesses that need to produce gigantic volumes
of content at a breakneck speed, but at what
price? Theres a lot to lose.
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The Implications
Firstly, AI text generators arent as great as
you think. These tools leverage existing data,
so the text may replicate bias and inaccuracies
they see in training data.
In a live-streamed event for Googles Bard demo,
the chatbot incorrectly attributed a discovery
to Webb, costing the company a whopping 100
billion.
Though it mimics human writing styles, an AI text
generator lacks the human-thought process. So for
brands like Ciente that believe in connecting the
dots and having an original voice, it doesnt
add any value. We live in a content-inundated,
mundane world, and AI-text generators could not
be a possible solution because they lack
originality and are incapable of creating a new,
fresh perspective to look at things.
Sure, they can educate you in a way, but how
about making your audience feel emotions? Well,
thats what marketing should do. AI can help
writers in certain lines, but it cant
take their job, especially if the writers are
good at what they do.
The new cohorts of large language models (LLMs)
demonstrate higher intelligence than
the previous ones. But theres more to the story.
According to a Forbes article, to make ChatGPT
appear less racist, OpenAI hired Kenyans
to filter the text. But paying these workers less
than 2 per hour makes for another
quintessential example of labor exploitation.
The next big issue is cybercrime. Hackers can use
these platforms to write undetected malware
scripts. New research by CheckPoint revealed
OpenAI helped a threat actor finish his first
script.
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The Editors Note
None of these AI-powered text generators are
immune to error. The perfect platform has to
be an amalgamation of tech and human advisory. If
brands are using these tools to create content,
they must consider how these platforms are
capable of amplifying bias. In the end, AI-text
generators only mimic what theyve been trained
on, so no matter how appealing they might look as
a solution- they still come with pitfalls, and we
cant bank on their responses entirely.
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