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11 Disadvantages Of ChatGPT Content

Published

2 months ago

January 31, 2023

EntirewebNewsBot

ChatGPT produces content that is comprehensive and plausibly accurate.

But researchers, artists, and professors warn of shortcomings to be aware of which degrade the quality of the content.

In this article, we’ll look at 11 disadvantages of ChatGPT content. Let’s dive in.

1. Phrase Usage Makes It Detectable As Non-Human

Researchers studying how to detect machine-generated content have discovered patterns that make it sound unnatural.

One of these quirks is how AI struggles with idioms.

An idiom is a phrase or saying with a figurative meaning attached to it, for example, “every cloud has a silver lining.”

A lack of idioms within a piece of content can be a signal that the content is machine-generated – and this can be part of a detection algorithm.

This is what the 2022 research paper Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers says about this quirk in machine-generated content:

“Complex phrasal features are based on the frequency of specific words and phrases within the analyzed text that occur more frequently in human text.

…Of these complex phrasal features, idiom features retain the most predictive power in detection of current generative models.”

This inability to use idioms contributes to making ChatGPT output sound and read unnaturally.

2. ChatGPT Lacks Ability For Expression

An artist commented on how the output of ChatGPT mimics what art is, but lacks the actual qualities of artistic expression.

Expression is the act of communicating thoughts or feelings.

ChatGPT output doesn’t contain expressions, only words.

It cannot produce content that touches people emotionally on the same level as a human can – because it has no actual thoughts or feelings.

Musical artist Nick Cave, in an article posted to his Red Hand Files newsletter, commented on a ChatGPT lyric that was sent to him, which was created in the style of Nick Cave.

He wrote:

“What makes a great song great is not its close resemblance to a recognizable work.

…it is the breathless confrontation with one’s vulnerability, one’s perilousness, one’s smallness, pitted against a sense of sudden shocking discovery; it is the redemptive artistic act that stirs the heart of the listener, where the listener recognizes in the inner workings of the song their own blood, their own struggle, their own suffering.”

Cave called the ChatGPT lyrics a mockery.

This is the ChatGPT lyric that resembles a Nick Cave lyric:

“I’ve got the blood of angels, on my hands
I’ve got the fire of hell, in my eyes
I’m the king of the abyss, I’m the ruler of the dark
I’m the one that they fear, in the shadows they hark”

And this is an actual Nick Cave lyric (Brother, My Cup Is Empty):

“Well I’ve been sliding down on rainbows
I’ve been swinging from the stars
Now this wretch in beggar’s clothing
Bangs his cup across the bars
Look, this cup of mine is empty!
Seems I’ve misplaced my desires
Seems I’m sweeping up the ashes
Of all my former fires”

It’s easy to see that the machine-generated lyric resembles the artist’s lyric, but it doesn’t really communicate anything.

Nick Cave’s lyrics tell a story that resonates with the pathos, desire, shame, and willful deception of the person speaking in the song. It expresses thoughts and feelings.

It’s easy to see why Nick Cave calls it a mockery.

3. ChatGPT Does Not Produce Insights

An article published in The Insider quoted an academic who noted that academic essays generated by ChatGPT lack insights about the topic.

ChatGPT summarizes the topic but does not offer a unique insight into the topic.

Humans create through knowledge, but also through their personal experience and subjective perceptions.

Professor Christopher Bartel of Appalachian State University is quoted by The Insider as saying that, while a ChatGPT essay may exhibit high grammar qualities and sophisticated ideas, it still lacked insight.

Bartel said:

“They are really fluffy. There’s no context, there’s no depth or insight.”

Insight is the hallmark of a well-done essay and it’s something that ChatGPT is not particularly good at.

This lack of insight is something to keep in mind when evaluating machine-generated content.

4. ChatGPT Is Too Wordy

A research paper published in January 2023 discovered patterns in ChatGPT content that makes it less suitable for critical applications.

The paper is titled, How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.

The research showed that humans preferred answers from ChatGPT in more than 50% of questions answered related to finance and psychology.

But ChatGPT failed at answering medical questions because humans preferred direct answers – something the AI didn’t provide.

The researchers wrote:

“…ChatGPT performs poorly in terms of helpfulness for the medical domain in both English and Chinese.

The ChatGPT often gives lengthy answers to medical consulting in our collected dataset, while human experts may directly give straightforward answers or suggestions, which may partly explain why volunteers consider human answers to be more helpful in the medical domain.”

ChatGPT tends to cover a topic from different angles, which makes it inappropriate when the best answer is a direct one.

Marketers using ChatGPT must take note of this because site visitors requiring a direct answer will not be satisfied with a verbose webpage.

And good luck ranking an overly wordy page in Google’s featured snippets, where a succinct and clearly expressed answer that can work well in Google Voice may have a better chance to rank than a long-winded answer.

OpenAI, the makers of ChatGPT, acknowledges that giving verbose answers is a known limitation.

The announcement article by OpenAI states:

“The model is often excessively verbose…”

The ChatGPT bias toward providing long-winded answers is something to be mindful of when using ChatGPT output, as you may encounter situations where shorter and more direct answers are better.

5. ChatGPT Content Is Highly Organized With Clear Logic

ChatGPT has a writing style that is not only verbose but also tends to follow a template that gives the content a unique style that isn’t human.

This inhuman quality is revealed in the differences between how humans and machines answer questions.

The movie Blade Runner has a scene featuring a series of questions designed to reveal whether the subject answering the questions is a human or an android.

These questions were a part of a fictional test called the “Voigt-Kampff test“.

One of the questions is:

“You’re watching television. Suddenly you realize there’s a wasp crawling on your arm. What do you do?”

A normal human response would be to say something like they would scream, walk outside and swat it, and so on.

But when I posed this question to ChatGPT, it offered a meticulously organized answer that summarized the question and then offered logical multiple possible outcomes – failing to answer the actual question.

Screenshot Of ChatGPT Answering A Voight-Kampff Test Question

Screenshot from ChatGPT, January 2023

The answer is highly organized and logical, giving it a highly unnatural feel, which is undesirable.

6. ChatGPT Is Overly Detailed And Comprehensive

ChatGPT was trained in a way that rewarded the machine when humans were happy with the answer.

The human raters tended to prefer answers that had more details.

But sometimes, such as in a medical context, a direct answer is better than a comprehensive one.

What that means is that the machine needs to be prompted to be less comprehensive and more direct when those qualities are important.

From OpenAI:

“These issues arise from biases in the training data (trainers prefer longer answers that look more comprehensive) and well-known over-optimization issues.”

7. ChatGPT Lies (Hallucinates Facts)

The above-cited research paper, How Close is ChatGPT to Human Experts?, noted that ChatGPT has a tendency to lie.

It reports:

“When answering a question that requires professional knowledge from a particular field, ChatGPT may fabricate facts in order to give an answer…

For example, in legal questions, ChatGPT may invent some non-existent legal provisions to answer the question.

…Additionally, when a user poses a question that has no existing answer, ChatGPT may also fabricate facts in order to provide a response.”

The Futurism website documented instances where machine-generated content published on CNET was wrong and full of “dumb errors.”

CNET should have had an idea this could happen, because OpenAI published a warning about incorrect output:

“ChatGPT sometimes writes plausible-sounding but incorrect or nonsensical answers.”

CNET claims to have submitted the machine-generated articles to human review prior to publication.

A problem with human review is that ChatGPT content is designed to sound persuasively correct, which may fool a reviewer who is not a topic expert.

8. ChatGPT Is Unnatural Because It’s Not Divergent

The research paper, How Close is ChatGPT to Human Experts? also noted that human communication can have indirect meaning, which requires a shift in topic to understand it.

ChatGPT is too literal, which causes the answers to sometimes miss the mark because the AI overlooks the actual topic.

The researchers wrote:

“ChatGPT’s responses are generally strictly focused on the given question, whereas humans’ are divergent and easily shift to other topics.

In terms of the richness of content, humans are more divergent in different aspects, while ChatGPT prefers focusing on the question itself.

Humans can answer the hidden meaning under the question based on their own common sense and knowledge, but the ChatGPT relies on the literal words of the question at hand…”

Humans are better able to diverge from the literal question, which is important for answering “what about” type questions.

For example, if I ask:

“Horses are too big to be a house pet. What about raccoons?”

The above question is not asking if a raccoon is an appropriate pet. The question is about the size of the animal.

ChatGPT focuses on the appropriateness of the raccoon as a pet instead of focusing on the size.

Screenshot of an Overly Literal ChatGPT Answer

Screenshot from ChatGPT, January 2023

9. ChatGPT Contains A Bias Towards Being Neutral

The output of ChatGPT is generally neutral and informative. It’s a bias in the output that can appear helpful but isn’t always.

The research paper we just discussed noted that neutrality is an unwanted quality when it comes to legal, medical, and technical questions.

Humans tend to pick a side when offering these kinds of opinions.

10. ChatGPT Is Biased To Be Formal

ChatGPT output has a bias that prevents it from loosening up and answering with ordinary expressions. Instead, its answers tend to be formal.

Humans, on the other hand, tend to answer questions with a more colloquial style, using everyday language and slang – the opposite of formal.

ChatGPT doesn’t use abbreviations like GOAT or TL;DR.

The answers also lack instances of irony, metaphors, and humor, which can make ChatGPT content overly formal for some content types.

The researchers write:

“…ChatGPT likes to use conjunctions and adverbs to convey a logical flow of thought, such as “In general”, “on the other hand”, “Firstly,…, Secondly,…, Finally” and so on.

11. ChatGPT Is Still In Training

ChatGPT is currently still in the process of training and improving.

OpenAI recommends that all content generated by ChatGPT should be reviewed by a human, listing this as a best practice.

OpenAI suggests keeping humans in the loop:

“Wherever possible, we recommend having a human review outputs before they are used in practice.

This is especially critical in high-stakes domains, and for code generation.

Humans should be aware of the limitations of the system, and have access to any information needed to verify the outputs (for example, if the application summarizes notes, a human should have easy access to the original notes to refer back).”

Unwanted Qualities Of ChatGPT

It’s clear that there are many issues with ChatGPT that make it unfit for unsupervised content generation. It contains biases and fails to create content that feels natural or contains genuine insights.

Further, its inability to feel or author original thoughts makes it a poor choice for generating artistic expressions.

Users should apply detailed prompts in order to generate content that is better than the default content it tends to output.

Lastly, human review of machine-generated content is not always enough, because ChatGPT content is designed to appear correct, even when it’s not.

That means it’s important that human reviewers are subject-matter experts who can discern between correct and incorrect content on a specific topic.

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TikTok CEO To Testify In Hearing On Data Privacy And Online Harm Reduction

Published

5 hours ago

March 22, 2023

EntirewebNewsBot

TikTok CEO To Testify In Hearing On Data Privacy And Online Harm Reduction

TikTok CEO Shou Chew will testify in a hearing before the U.S. House Committee on Energy and Commerce this Thursday, March 23, at 10:00 a.m. ET.

As CEO, Chew is responsible for TikTok’s business operations and strategic decisions.

The “TikTok: How Congress Can Safeguard American Data Privacy and Protect Children from Online Harms” hearing will be streamed live on the Energy and Commerce Committee’s website.

According to written testimony submitted by Chew, the hearing will focus on TikTok’s alleged commitment to transparency, teen safety, consumer privacy, and data security.

It also appears to broach the topic of misconceptions about the platform, such as its connection to the Chinese government through its parent company, ByteDance.

Chew shared a special message with TikTok yesterday from Washington, D.C., to thank 150 million users, five million businesses, and 7,000 employees in the U.S. for helping build the TikTok community.

@tiktokOur CEO, Shou Chew, shares a special message on behalf of the entire TikTok team to thank our community of 150 million Americans ahead of his congressional hearing later this week.♬ original sound – TikTok

The video has received over 85k comments from users, many describing how TikTok has allowed them to interact with people worldwide and find unbiased news, new perspectives, educational content, inspiration, and joy.

TikTok Updates Guidelines And Offers More Educational Content

TikTok has been making significant changes to its platform to address many of these concerns before this hearing to evade a total U.S. ban on the platform.

Below is an overview of some efforts by TikTok to rehab its perception before the hearing.

Updated Community Guidelines – TikTok updated community guidelines and shared its Community Principles to demonstrate commitment to keeping the platform safe and inclusive for all users.

For You Feed Refresh – TikTok recommends content to users based on their engagement with content and creators. For users who feel that recommendations no longer align with their interests, TikTok introduced the ability to refresh the For You Page, allowing them to receive fresh recommendations as if they started a new account.

STEM Feed – To improve the quality of educational content on TikTok, it will introduce a STEM feed for content focused on Science, Technology, Engineering, and Mathematics. Unlike the content that appears when users search the #STEM hashtag, TikTok says that Common Sense Networks and Poynter will review STEM feed content to ensure it is safe for younger audiences and factually accurate.

This could make it more like the version of TikTok in China – Douyin – that promotes educational content to younger audiences over entertaining content.

Series Monetization – To encourage creators to create in-depth, informative content, TikTok introduced a new monetization program for Series content. Series allows creators to earn income by putting up to 80 videos with up to 20 minutes in length, each behind a paywall.

More Congressional Efforts To Restrict TikTok

The TikTok hearing tomorrow isn’t the only Congressional effort to limit or ban technologies like TikTok.

Earlier this month, Sen. Mark Warner (D-VA) introduced the RESTRICT Act (Restricting the Emergence of Security Threats that Risk Information and Communications Technology), which would create a formal process for the government to review and mitigate risks of technology originating in countries like China, Cuba, Iran, North Korea, Russia, and Venezuela.

Organizations like the Tech Oversight Project have pointed out that Congress should look beyond TikTok and investigate similar risks to national security and younger audiences posed by other Big Tech platforms like Amazon, Apple, Google, and Meta.

We will follow tomorrow’s hearing closely – be sure to come back for our coverage to determine how this will affect users and predict what will happen next.

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How Is It Different From GPT-3.5?

Published

12 hours ago

March 22, 2023

EntirewebNewsBot

GPT-4, the latest version of ChatGPT, OpenAI’s language model, is a breakthrough in artificial intelligence (AI) technology that has revolutionized how we communicate with machines.

ChatGPT’s multimodal capabilities enable it to process text, images, and videos, making it an incredibly versatile tool for marketers, businesses, and individuals alike.

What Is GPT-4?

GPT-4 is 10 times more advanced than its predecessor, GPT-3.5. This enhancement enables the model to better understand context and distinguish nuances, resulting in more accurate and coherent responses.

Furthermore, GPT-4 has a maximum token limit of 32,000 (equivalent to 25,000 words), which is a significant increase from GPT-3.5’s 4,000 tokens (equivalent to 3,125 words).

“We spent 6 months making GPT-4 safer and more aligned. GPT-4 is 82% less likely to respond to requests for disallowed content and 40% more likely to produce factual responses than GPT-3.5 on our internal evaluations.” – OpenAI

GPT-3.5 Vs. GPT-4 – What’s Different?

GPT-4 offers several improvements over its predecessor, some of which include:

1. Linguistic Finesse

While GPT-3.5 is quite capable of generating human-like text, GPT-4 has an even greater ability to understand and generate different dialects and respond to emotions expressed in the text.

For example, GPT-4 can recognize and respond sensitively to a user expressing sadness or frustration, making the interaction feel more personal and genuine.

Screenshot from OpenAI, March 2023

One of the most impressive aspects of GPT-4 is its ability to work with dialects, which are regional or cultural variations of a language.

Dialects can be extremely difficult for language models to understand, as they often have unique vocabulary, grammar, and pronunciation that may not be present in the standard language.

However, GPT-4 has been specifically designed to overcome these challenges and can accurately generate and interpret text in various dialects.

2. Information Synthesis

GPT-4 can answer complex questions by synthesizing information from multiple sources, whereas GPT-3.5 may struggle to connect the dots.

For example, when asked about the link between the decline of bee populations and the impact on global agriculture, GPT-4 can provide a more comprehensive and nuanced answer, citing different studies and sources.

Screenshot from OpenAI, March 2023

Unlike its predecessor, GPT-4 now includes a feature that allows it to properly cite sources when generating text.

This means that when the model generates content, it cites the sources it has used, making it easier for readers to verify the accuracy of the information presented.

3. Creativity And Coherence

While GPT-3.5 can generate creative content, GPT-4 goes a step further by producing stories, poems, or essays with improved coherence and creativity.

For example, GPT-4 can produce a short story with a well-developed plot and character development, whereas GPT-3.5 might struggle to maintain consistency and coherence in the narrative.

Screenshot from OpenAI, March 2023

Screenshot from OpenAI, March 2023

4. Complex Problem-Solving

GPT-4 demonstrates a strong ability to solve complex mathematical and scientific problems beyond the capabilities of GPT-3.5.

For example, GPT-4 can solve advanced calculus problems or simulate chemical reactions more effectively than its predecessor.

Screenshot from OpenAI, March 2023

Screenshot from OpenAI, March 2023

GPT-4 has significantly improved its ability to understand and process complex mathematical and scientific concepts. Its mathematical skills include the ability to solve complex equations and perform various mathematical operations such as calculus, algebra, and geometry.

In addition, GPT-4 is also capable of handling scientific subjects such as physics, chemistry, biology, and astronomy.

Its advanced processing power and language modeling capabilities allow it to analyze complex scientific texts and provide insights and explanations easily.

As the technology continues to evolve, it is likely that GPT-4 will continue to expand its capabilities and become even more adept at a wider range of subjects and tasks.

5. Programming Power

GPT-4’s programming capabilities have taken social media by storm with its ability to generate code snippets or debug existing code more efficiently than GPT-3.5, making it a valuable resource for software developers.

With the help of GPT-4, weeks of work can be condensed into a few short hours, allowing extraordinary results to be achieved in record time. You can test these prompts:

“Write code to train X with dataset Y.”
“I’m getting this error. Fix it.”
“Now improve the performance.”
“Now wrap it in a GUI.”

6. Image And Graphics Understanding

Unlike GPT-3.5, which focuses primarily on text, GPT-4 can analyze and comment on images and graphics.

For example, GPT-4 can describe the content of a photo, identify trends in a graph, or even generate captions for images, making it a powerful tool for education and content creation.

Screenshot from OpenAI, March 2023

Imagine this technology integrated with Google Analytics or Matomo. You could get highly accurate analytics for all your dashboards in a few minutes.

7. Reduction Of Inappropriate Or Biased Responses

GPT-4 implements mechanisms to minimize undesirable results, thereby increasing reliability and ethical responsibility.

For example, GPT-4 is less likely to generate politically biased, offensive, or harmful content, making it a more trustworthy AI companion than GPT-3.5.

Where Can ChatGPT Go Next?

Despite its remarkable advancements, ChatGPT still has room for improvement:

Addressing neutrality: Enhancing its ability to discern the context and respond accordingly.
Understanding the user: Developing the capacity to understand who is communicating (who, where, and how).
External integrations: Expanding its reach through web, API, and robotic integrations.
Long-term memory: Improving its ability to recall past interactions and apply that knowledge to future conversations.
Reducing hallucination: Minimizing instances where the AI is convinced of false information.

As ChatGPT continues to evolve, it is poised to revolutionize marketing and AI-driven communications.

Its potential applications in content creation, education, customer service, and more are vast, making it an essential tool for businesses and individuals in the digital age.

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Should Congress Investigate Big Tech Platforms?

Published

19 hours ago

March 22, 2023

EntirewebNewsBot

Should Congress Investigate Big Tech Platforms?

This week, the House Energy and Commerce Committee will hold a full committee hearing with TikTok CEO Shou Chew to discuss how the platform handles users’ data, its effect on kids, and its relationship with ByteDance, its Chinese parent company.

This hearing is part of an ongoing investigation to determine whether TikTok should be banned in the United States or forced to split from ByteDance.

A ban on TikTok would affect over 150 million Americans who use TikTok for education, entertainment, and income generation.

It would also affect the five million U.S. businesses using TikTok to reach customers.

Is TikTok The Only Risk To National Security?

According to a memo released by the Tech Oversight Project, TikTok is not the only tech platform that poses risks to national security, mental health, and children.

As Congress scrutinizes TikTok, the Tech Oversight Project also strongly urges an investigation of risks posed by tech companies like Amazon, Apple, Meta, and Google.

These platforms have a documented history of serving content harmful to younger audiences and adversarial to U.S. interests. They have also failed on many occasions to protect users’ private data.

Many Big Tech companies have seen TikTok’s success and tried to emulate some of its features to encourage users to spend as much time within their platforms’ ecosystems as possible. Academics, activists, non-governmental organizations, and others have long raised concerns about these platforms’ risks.

To truly reduce Big Rech’s risks to our society, Congress must look beyond TikTok and hold other companies accountable for the same dangers they pose to national security, mental health, and private data.

Risks Posed By Big Tech Companies

The following are examples of the risks Big Tech companies pose to U.S. users.

Amazon

Amazon has made several controversial moves, including a partnership with a state propaganda agency to launch a China books portal and offering AWS services to Chinese companies, including a banned surveillance firm with ties to the military.

Apple

Independent research found that Apple collects detailed information about its users, even when users choose not to allow tracking by apps from the App Store. Over half of the top 200 suppliers for Apple operate factories in China.

Google

The FTC fined Google and YouTube $170 million for collecting children’s data without parental consent. YouTube also changed its algorithm to make it more addictive, increasing users’ time watching videos and consuming ads.

TikTok

TikTok employees confirmed that its Chinese parent company, ByteDance, is involved in decision-making and has access to TikTok’s user data. While testifying before the Senate Homeland Security Committee, Vanessa Pappas, TikTok COO, would not confirm whether ByteDance would give TikTok user data to the Chinese government.

Conclusion

While the dangers posed by TikTok are undeniable, it’s clear that Congress should also address the risks posed throughout the tech industry. By holding all major offenders accountable, we can create a safe, secure, and responsible digital landscape for everyone.

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