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AI Content Detection Software: Kan de upptäcka ChatGPT?

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AI Content Detection Software: Kan de upptäcka ChatGPT?

We live in an age when AI technologies are booming, and the world has been taken by storm with the introduction of ChatGPT.

ChatGPT is capable of accomplishing a wide range of tasks, but one that it does particularly well is writing articles. And while there are many obvious benefits to this, it also presents a number of challenges.

In my opinion, the biggest hurdle that AI-generated written content poses for the publishing industry is the spread of misinformation.

ChatGPT, or any other AI tool, may generate articles that may contain factual errors or are just flat-out incorrect.

Imagine someone who has no expertise in medicine starting a medical blog and using ChatGPT to write content for their articles.

Their content may contain errors that can only be identified by professional doctors. And if that blog content starts spreading over social media, or maybe even ranks in Search, it could cause harm to people who read it and take erroneous medical advice.

Another potential challenge ChatGPT poses is how students might leverage it within their written work.

If one can write an essay just by running a prompt (and without having to do any actual work), that greatly diminishes the quality of education – as learning about a subject and expressing your own ideas is key to essay writing.

Even before the introduction of ChatGPT, many publishers were already generating content using AI. And while some honestly disclose it, others may not.

Also, Google recently changed its wording regarding AI-generated content, so that it is not necessarily against the company’s guidelines.

Image from Twitter, November 2022

This is why I decided to try out existing tools to understand where the tech industry is when it comes to detecting content generated by ChatGPT, or AI generally.

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I ran the following prompts in ChatGPT to generate written content and then ran those answers through different detection tools.

  • “What is local SEO? Why it is important? Best practices of Local SEO.”
  • “Write an essay about Napoleon Bonaparte invasion of Egypt.”
  • “What are the main differences between iPhone and Samsung galaxy?”

Here is how each tool performed.

1. Writer.com

For the first prompt’s answer, Writer.com fails, identifying ChatGPT’s content as 94% human-generated.

Writer.com resultsScreenshot from writer.com, January 2023

For the second prompt, it worked and detected it as AI-written content.

Writer.com test resultScreenshot from writer.com, January 2023

For the third prompt, it failed again.

Sample ResultScreenshot from writer.com, January 2023

However, when I tested real human-written text, Writer.com did identify it as 100% human-generated very accurately.

2. Copyleaks

Copyleaks did a great job in detecting all three prompts as AI-written.

Sample ResultScreenshot from Copyleaks, January 2023

3. Contentatscale.ai

Contentatscale.ai did a great job in detecting all three prompts as AI-written, even though the first prompt, it gave a 21% human score.

Contentscale.aiScreenshot from Contentscale.ai, January 2023

4. Originality.ai

Originality.ai did a great job on all three prompts, accurately detecting them as AI-written.

Also, when I checked with real human-written text, it did identify it as 100% human-generated, which is essential.

Originality.aiScreenshot from Originality.ai, January 2023

You will notice that Originality.ai doesn’t detect any plagiarism issues. This may change in the future.

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Over time, people will use the same prompts to generate AI-written content, likely resulting in a number of very similar answers. When these articles are published, they will then be detected by plagiarism tools.

5. GPTZero

This non-commercial tool was built by Edward Tian, and specifically designed to detect ChatGPT-generated articles. And it did just that for all three prompts, recognizing them as AI-generated.

GPTZeroScreenshot from GPTZero, January 2023

Unlike other tools, it gives a more detailed analysis of detected issues, such as sentence-by-sentence analyses.

sentence by sentence text perplexityScreenshot from GPTZero, January 2023

OpenAI’s AI Text Classifier

And finally, let’s see how OpenAi detects its own generated answers.

For the 1st and 3rd prompts, it detected that there is an AI involved by classifying it as “possibly-AI generated”.

AI Text Classifier. Likely AI-generatedAI Text Classifier. Likely AI-generated

But surprisingly, it failed for the 2nd prompt and classified that as “unlikely AI-generated.” I did play with different prompts and found that, as of the moment, when checking it, few of the above tools detect AI content with higher accuracy than OpenAi’s own tool.

AI Text Classifier. Unlikely AI-generatedAI Text Classifier. Unlikely AI-generated

As of the time of this check, they had släppte it a day before. I think in the future, they will fine tune it, and it will work much better.

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Slutsats

Current AI content generation tools are in good shape and are able to detect ChatGPT-generated content (with varying degrees of success).

It is still possible for someone to generate copy via ChatGPT and then paraphrase that to make it undetectable, but that might require almost as much work as writing from scratch – so the benefits aren’t as immediate.

If you think about ranking an article in Google written by ChatGPT, consider for a moment: If the tools we looked at above were able to recognize them as AI-generated, then for Google, detecting them should be a piece of cake.

On top of that, Google has quality raters who will train their system to recognize AI-written articles even better by manually marking them as they find them.

So, my advice would be not to build your content strategy on ChatGPT-generated content, but use it merely as an assistant tool.

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Featured Image: /Shutterstock



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Google Enhances Bard’s Reasoning Skills

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Google Enhances Bard's Reasoning Skills

Google’s language model, Bard, is receiving a significant update today that aims to improve its logic and reasoning capabilities.

Jack Krawczyk, the Product Lead for Bard, and Amarnag Subramanya, the Vice President of Engineering for Bard, announced in a blogginlägg.

A Leap Forward In Reasoning & Math

These updates aim to improve Bard’s ability to tackle mathematical tasks, answer coding questions, and handle string manipulation prompts.

To achieve this, the developers incorporate “implicit code execution.” This new method allows Bard to detect computational prompts and run code in the background, enabling it to respond more accurately to complex tasks.

“As a result, it can respond more accurately to mathematical tasks, coding questions and string manipulation prompts,” the Google team shared in the announcement.

System 1 and System 2 Thinking: A Blend of Intuition and Logic

The approach used in the update takes inspiration from the well-studied dichotomy in human intelligence, as covered in Daniel Kahneman’s book, “Thinking, Fast and Slow.”

The concept of “System 1” and “System 2” thinking is central to Bard’s improved capabilities.

System 1 is fast, intuitive, and effortless, akin to a jazz musician improvising on the spot.

System 2, however, is slow, deliberate, and effortful, comparable to carrying out long division or learning to play an instrument.

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Large Language Models (LLMs), such as Bard, have typically operated under System 1, generating text quickly but without deep thought.

Traditional computation aligns more with System 2, being formulaic and inflexible yet capable of producing impressive results when correctly executed.

“LLMs can be thought of as operating purely under System 1 — producing text quickly but without deep thought,” according to the blog post. However, “with this latest update, we’ve combined the capabilities of both LLMs (System 1) and traditional code (System 2) to help improve accuracy in Bard’s responses.”

A Step Closer To Improved AI Capabilities

The new updates represent a significant step forward in the AI language model field, enhancing Bard’s capabilities to provide more accurate responses.

However, the team acknowledges that there’s still room for improvement:

“Even with these improvements, Bard won’t always get it right… this improved ability to respond with structured, logic-driven capabilities is an important step toward making Bard even more helpful.”

While the improvements are noteworthy, they present potential limitations and challenges.

It’s plausible that Bard may not always generate the correct code or include the executed code in its response.

There could also be scenarios where Bard might not generate code at all. Further, the effectiveness of the “implicit code execution” could depend on the complexity of the task.

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Sammanfattningsvis

As Bard integrates more advanced reasoning capabilities, users can look forward to more accurate, helpful, and intuitive AI assistance.

However, all AI technology has limitations and drawbacks.

As with any tool, consider approaching it with a balanced perspective, understanding the capabilities and challenges.


Featured Image: Amir Sajjad/Shutterstock



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Microsoft Advertising Boosts Analytics & Global Reach In June Update

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Microsoft Advertising Boosts Analytics & Global Reach In June Update

Microsoft Advertising details several important updates and expansions in its June product roundup.

The new tools and features aim to enhance website performance analytics, improve cross-device conversion tracking, expand into new global markets, and integrate more seamlessly with other platforms.

Introducing Universal Event Tracking Insights

This month’s standout news is the introduction of Universal Event Tracking (UET) insights, a feature that gives advertisers a deeper understanding of their website’s performance.

The new feature requires no additional coding and will enhance the capabilities of existing UET tags.

“We’re introducing UET insights, a valuable new feature that we’ll add to your existing UET tags with no additional coding required from you. You’ll get a deeper understanding of your website’s performance and also enable Microsoft Advertising to optimize your ad performance more effectively via improved targeting, fraud detection, and reduced conversion loss.”

The new insights tool will roll out automatically starting July 3.

Cross-Device Conversion Attribution Update

Microsoft Advertising is introducing a cross-device attribution model later this month.

This update will enable advertisers to track and connect customers’ conversion journeys across multiple devices and sessions.

Microsoft explains the new feature in a blog article: “For example, if a user clicks on an ad using their laptop but converts on their phone, we’ll now credit that conversion to the initial ad click on the laptop.”

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While the update doesn’t introduce new features or settings, advertisers may notice a slight increase in the number of conversions due to improved accuracy.

Expanding to New Markets

In line with its expansion push throughout 2022, Microsoft Advertising announces it’s expanding its advertising reach to 23 new markets.

The new additions include diverse locations ranging from Antigua and Barbuda to Wallis and Futuna.

This expansion allows advertisers to reach their audiences in more parts of the world.

Seamless Integration With Pinterest & Dynamic Remarketing

Microsoft Advertising is releasing Pinterest Import in all markets via the Microsoft Audience Network (MSAN), allowing advertisers to import campaigns from Pinterest Ads.

Further, Dynamic remarketing on MSAN for Autos, Events & Travel is now available in the US, Canada, and the UK.

The remarketing tool enables advertisers to use their feeds to create rich ad experiences on the Microsoft Audience Network and match their target audience with items in their feed where they’ve shown interest.

Sammanfattningsvis

Key takeaways from the June product roundup include the automatic rollout of UET Insights starting July 3, introducing a new cross-device attribution model, expanding into 23 new global markets, and enhanced integration with Pinterest via the Microsoft Audience Network.

These developments collectively offer advertisers increased insight into campaign performance, improved accuracy in conversion tracking, and more opportunities to reach audiences worldwide.

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Källa: Microsoft
Featured Image: PixieMe/Shutterstock



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Apple Safari 17:s dolda ädelstenar: JPEG XL & Font-Size-Adjust

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Apple Safari 17's dolda ädelstenar: JPEG XL & Font-Size-Adjust

Apple’s recently announced Safari 17 brings several key updates that promise to enhance user experience and web page loading times.

Unveiled at the annual Worldwide Developers Conference (WWDC23), two new features of Safari 17 worth paying attention to are JPEG XL support and expanded capabilities of font-size-adjust.

As Safari continues to evolve, these updates highlight the ever-changing landscape of webbutveckling and the importance of adaptability.

JPEG XL: A Game Changer For Page Speed Optimization

One of the most noteworthy features of Safari 17 is its support for JPEG XL, a new image format that balances image quality and file size.

JPEG XL allows for the recompression of existing JPEG files without any data loss while significantly reducing their size—by up to 60%.

Page loading speed is a crucial factor that search engines consider when ranking websites. With JPEG XL, publishers can drastically reduce the file size of images on their sites, potentially leading to faster page loads.

Additionally, the support for progressive loading in JPEG XL means users can start viewing images before the entire file is downloaded, improving the user experience on slower connections.

This benefits websites targeting regions with slower internet speeds, enhancing user experience and potentially reducing bounce rates.

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Font Size Adjust: Improving User Experience & Consistency

Safari 17 expands the capabilities of font-size-adjust, a CSS property that ensures the visual size of different fonts remains consistent across all possible combinations of fallback fonts.

By allowing developers to pull the sizing metric from the main font and apply it to all fonts, the from-font value can help websites maintain a consistent visual aesthetic, which is critical for user experience.

Conversely, the two-value syntax provides more flexibility in adjusting different font metrics, supporting a broader range of languages and design choices.

Websites with consistent and clear text display, irrespective of the font in use, will likely provide a better user experience. A better experience could lead to longer visits and higher engagement.

Reimagining SEO Strategies With Safari 17

Given these developments, SEO professionals may need to adjust their strategies to leverage the capabilities of Safari 17 fully.

This could involve:

  • Image Optimization: With support for JPEG XL, SEO professionals might need to consider reformatting their website images to this new format.
  • Website Design: The expanded capabilities of font-size-adjust could require rethinking design strategies. Consistent font sizes across different languages and devices can improve CLS, one of Google’s core web vitals.
  • Performance Tracking: SEO professionals will need to closely monitor the impact of these changes on website performance metrics once the new version of Safari rolls out.
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Sammanfattningsvis

Apple’s Safari 17 brings new features that provide opportunities to improve several website performance factors crucial for SEO.

Detailed documentation on these Safari 17 updates is available on the official WebKit blog for those interested in delving deeper into these features.


Featured Image: PixieMe/Shutterstock



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