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Last Updated on April 18, 2023
With the emergence of numerous AI writing tools, such as ChatGPT and Jasper AI, you may be wondering: does Google penalize AI articles?
Considering these new AI bots can write articles in a fraction of the time it would take a human, the discussion around Google’s position on the matter mounts. Could there really be a punishment for using AI to compose an article?
In the past, Google has penalized sites for including generic, low-quality AI-generated content – and thank heavens they did.
Back in the day, some SEO specialists would use AI to manipulate Google’s ranking algorithm. They achieved this by including fragmented content on their pages, which would trick Google into awarding their articles with the top positions.
However, as time has passed the tech giant has shifted its stance. Google does not penalize all AI-generated content, it now only targets and punishes “spammy automatically-generated content” instead.
Given that the digital media company, Buzzfeed, has announced it will be integrating AI-generated content into its site, it seems that Google’s shift was inevitable.
Google has since updated its Search Essentials documentation to include the specifics on what they mean by “spammy” content.
Under the “Spammy automatically-generated content” section, they state you should avoid “text generated through automated processes without regard for quality or user experience”.
This would, of course, include AI-generated articles. So, if you are concerned about being penalized by Google, make sure your AI-generated text does not fall under the spam category.
If you need further reassurance Google’s Public Liaison for Search, Danny Sullivan, has also tweeted that the company is not against AI content. In fact, they are only against AI content that doesn’t consider the user.Is AI content bad for SEO?
As you would expect, there are pros and cons to everything. So, is AI content bad for SEO? The thing is, AI-generated articles are not always SEO-friendly.
They won’t necessarily be optimized for search engines or be keyword-rich. However, if you make sure to edit and optimize your AI-generated content before publishing, you can mitigate most of these issues.Can AI articles rank on Google?
The fact that Google does not explicitly penalize content generated by AI tools like ChatGPT means that these AI articles can still rank well on Google and other search engines.
However, they need to be considered somewhat to ensure they are not ‘spammy’. Any inaccuracies or poorly, unnaturally worded text will likely rank lower on Google.Should I use AI to write articles?
If you’re on a tight schedule and need to get lots of content out quickly, using AI might be a good idea. However, most articles written by an AI service like ChatGPT will need a degree of human input in order to give them any kind of personal touch. If you are writing an opinion piece or anything that requires critical thinking, it might be a better idea to do it yourself.Final Thoughts
We can safely say that Google is not fully against AI-generated articles. If you decide to integrate AI into your website, it’s important to make sure it adheres to Google’s guidelines regarding spammy content.
If you found this article useful, why not read How can you access Google Bard AI next?
You're reading Does Google Penalize Ai Articles?
Google Bard AI is an AI chatbot developed by Google that can generate human-like responses. It is based on Google’s Large language model (LLM), LaMDA, similar to how ChatGPT is based on GPT. Bard is separate from Google Search and is meant to be an assistive AI chatbot that can generate text for cover letters, homework, computer code, Excel formulas, question answers, and detailed translations. Bard is now available in India and can be accessed by visiting chúng tôi and logging in using your Google account.
To start using Google Bard AI in India, follow these simple steps:
Check More: How to Use Bard in Google Sheets: A Comprehensive Guide
Google Bard AI offers a range of useful features for users. Some of the key features include:
Text generation for various purposes: Google Bard AI can generate text for cover letters, homework assignments, computer code, Excel formulas, question answers, and detailed translations. It is designed to assist users in various tasks that require well-crafted text.
User-friendly interface: Bard AI is optimized to be user-friendly, allowing users to interact with the chatbot easily. The interface is intuitive and straightforward, making it accessible to users with different levels of technical expertise.
Utilizes Google’s search tools: Since Google Bard AI is developed by Google, it leverages the search tools and capabilities of Google. This enables the chatbot to provide accurate and reliable information when answering user queries.
See More: How To Make Money With Google Bard AI
Google has recently announced the addition of new features to Bard AI, further enhancing its capabilities. These new features include:
Enhanced coding capabilities: Bard AI now has improved coding capabilities, allowing users to receive assistance with coding tasks. Whether it’s debugging code, writing algorithms, or exploring programming concepts, Bard AI can help users navigate the world of coding.
These new additions expand the functionality of Google Bard AI, making it an even more powerful tool for users in India.
Here are some frequently asked questions about Google Bard AI:
Yes, Google Bard AI has the ability to generate text in various languages, including English, Hindi, Bengali, Tamil, and more. It offers comprehensive translation capabilities for a wide range of languages.
Yes, Google Bard AI is free to use in India. Users can access the chatbot by visiting the official website and logging in with their Google account.
Yes, Google Bard AI can assist with complex research or academic writing tasks. It can help generate well-structured paragraphs, provide information and references, and offer suggestions to improve the quality of the writing.
Yes, Google Bard AI is accessible on mobile devices. You can access the Bard AI website on your smartphone or tablet’s web browser and use it just like you would on a computer.
While Google Bard AI strives to provide accurate and reliable information, it’s important to note that the content generated by the AI is based on patterns and information from the web. It’s always a good practice to verify and cross-check the information provided by any AI tool.
Yes, Google Bard AI can provide assistance with creative writing and storytelling. It can offer suggestions for plot development, character creation, and even generate sample dialogues or descriptions to inspire your writing.
It’s important to keep in mind that while Google Bard AI is a powerful tool, it’s always beneficial to critically evaluate and verify the information it provides. The AI can assist you in various tasks, but human judgment and expertise are still essential for ensuring accuracy and reliability.
ChatGPT is an AI redefining the use of the current way of using the internet. However, it may not take over Google’s Search Engine for long.
With similar functions that Google’s Search Engine possesses, ChatGPT is becoming a great contender for Google and its technical prowess.
However, this has also raised a few concerns for the future. Keep reading to find out what these concerns are.Will ChatGPT Take Over Google’s Consumers?
The concern has consumers making statements such as, “ChatGPT might become the Google Search Engine killer.”
Google has also introduced its own AI, called Bard AI which has the majority of the features similar to ChatGPT.
The development of Google’s AI has consumers speculating that Bard may become the ChatGPT killer instead.
Let us discuss more on this topic and try to understand if ChatGPT is a Google Search Engine Killer.ChatGPT Vs. Google – What Makes Them Similar?
ChatGPT is an AI tool, while the Google Search Engine is not completely reliant on AI.
Even though they are different, ChatGPT and the Google Search Engine are similar.
Here are a few features that make them similar;
Content Search: ChatGPT and the Google Search Engine implement Machine Learning Algorithms in their content Search. They generate logical, applicable content depending on the information the user provides.
Writing Code: The Google Search Engine and ChatGPT can provide users with various codes catered to their requirements.
Concept Explanation: ChatGPT and the Google Search Engine can put out information explaining various concepts through related data.Features Of ChatGPT
ChatGPT has various features and continues to improve as time passes. Let’s look at some noteworthy features of ChatGPT:
Writing Various Forms Of Content: ChatGPT can write various content for its users, such as books, content, and even songs.
Explaining Various Concepts: ChatGPT can explain very complex topics. Additionally, it could crack exams set by top-level education foundations as well.
Writing Complex Codes: ChatGPT has displayed its ability to write various codes. Even though ChatGPT can write codes, it still has difficulty writing complex codes.
Moreover, GPT-4 is already available for the general public to use.
The team stated, “GPT-4 can solve difficult problems with greater accuracy, thanks to its broader general knowledge and problem-solving abilities.”
A few keynotes to mention about the new ChatGPT 4 are as follows:
Higher level of creativity
Ability to take visual input to provide information
Able to handle more than 25000 words for a better, more informative conversation with the users
With the features of ChatGPT being discussed, let us look into some of the key features of the Google Search Engine.Features Of Google Chrome
Google itself has various features that other companies have used.
Below are a few noteworthy features of the Google Chrome/Google web Search Engine:
Content Search Through Image: Users provide the Search Engine with an image, which the Search Engine processes and provides every information about the given input.
Searching For Various Educational Documents: Users can Search for educational resources from the website called Google Scholar. The website contains paid and free books that allow users to learn.
Coding With Chrome: Users can code using Google’s extension, Coding with Google. The extension provides the users with lines of code to which they make changes.
Continue reading to learn the similarities and differences between ChatGPT and Google Bard.Is ChatGPT A Google Killer?
ChatGPT can perform nearly every task that the Google Search Engine can do.
While some features may not be as properly implemented as Google’s Search Engine, ChatGPT can still perform them efficiently.
The answer to ChatGPT becoming the Google killer would be a stern No.
Moreover, in an interview with The Wall Street Journal, Sundar Pichai was asked about Google’s own AI, Bard. Sundar Pichai stated,”The opportunity space if anything, is more significant than before.”
In the recent Google I/O, CEO Sundar Pichai Unveiled PaLM 2, which is supposedly the successor of PaLM.
Bard AI previously used PaLM, but now Bard AI will be using PaLM 2 to give the users a better experience than before.
Continue reading to learn the differences between Google PaLM Vs. PaLM 2.The Bottom Line
The current concern on the ChatGPT is warranted. Moreover, Google has decided to put its hand on the AI situation.
However, Google’s Search Engine may not be taken over by ChatGPT for the foreseeable future.
When you think of LinkedIn, you think of a social network that’ll help you find the perfect job for you. That’s obviously true, but LinkedIn is also a great social media platform where you can read up on exciting information. You can read interesting articles others write about all sorts of subjects. Since there is such great content out there, sooner or later, you will come across an article you want to save. The good news is that the saving and finding process is easy. It doesn’t matter if you’re on your computer or your Android device.How to Save an Article on LinkedIn
Even if you usually use LinkedIn for job hunting, you’ll see an article that you find interesting. Maybe you don’t have time to read it carefully now and want to save it for later. You can save that article for later on your computer or your Android device. But there is no point in saving an article if you can find it to read it. See how you can do both and enjoy LinkedIn’s content and the different paths to find your saved article.
In the My Items section, you’ll see different options, such as:
Send in a private message
Copy link to post
Embed this post
Report this postHow to Save Posts on LinkedIn – Android
Since you probably do most of your job searching from your Android device, you can also save any interesting information from it as well. Once you have the LinkedIn app open and the post you want to save as well. You should see dots to the right of the article, and the option to save it will be the first on the list.
That’s all you need to do to save any article. You’ll need to repeat the process to save future articles. If you think you saved the wrong article, tap on the dots again and the option to unsave the article.How to Find Your Saved LinkedIn Articles – Android
There is no point in saving your articles if you can find them to read them later. You can access your saved article on your Android device by tapping on your profile picture at the top left of your display, followed by the profile option.
Swipe down a little until you see the option that says Show all five resources. You’ll find your saved LinkedIn articles in the My Items section, and you’ll find that option at the bottom of the list. You’ll see four options on the next page, but your saved articles will be in the Saved Posts section.
Unless you want a long list of articles that will only clutter your Saved Article section, make sure you only save articles that you’re confident you’re going back to read. If you start saving articles that you might go back to read, that one you love will get lost in the sea of articles you’re beginning to regret you saved.Further Reading
Are you new to LinkedIn, or are you unfamiliar with what you can do? Maybe you might want to read up on how you can block sponsored messages if they are getting annoying. There is also a way you can prevent others from knowing you viewed their profile.
Since it’s always a good idea to take security precautions on any social media platform, see what security tips you can follow to stay safe on LinkedIn. But, even if you take all the precautions you can think of, if someone is not playing nice, here are the tips to follow to block someone on LinkedIn.Conclusion on Saving Posts for Later on LinkedIn
Three of the biggest tech giants making waves right now are Google, Amazon, and Microsoft who have their respective visions for artificial intelligence. In this article, we will compare their AI projects and products, and their market share to understand who is leading the AI race.Some important statistics before we start
AI can increase productivity by 40%
The number of AI startups increased 14 times in the last two decades
Global GDP will increase by $15.7 trillion by 2030, thanks to artificial intelligence
AI-powered chatbots are estimated to reduce business coast by $8 billion by 2023
The number of AI-powered voice assistants is expected to reach 8 billion by 2023
About 77% of the devices we already use have at least one form of AI
These statistics speak loud about how AI is leading us into the future with the market expected to grow at a CAGR of 36.62% till 2025. Currently, the race to develop the best AI tools is one of the highlights of the tech world, from the battle between web browsers to fighting terminal illnesses. Here’s how Google, Microsoft, and Amazon are using artificial intelligence to create better products and services.Google
AI is embedded in Google’s core. The company has successfully moved from a mobile-first world to an AI-first world. Right from Google’s search engines, Google Maps, Google Photos, to YouTube and Gmail Smart Reply, AI is integrated inside all of the Google apps we use on a daily basis. Google is driving AI through its technological offerings like TensorFlow and Cloud AutoML (to name a few) that is helping developers and SMB’s innovate by using its open-source projects.
“We want to use AI to augment the abilities of people, to enable us to accomplish more, and to allow us to spend more time on our creative endeavors”, says Jeff Dean, Google Senior Fellow.AI Products and Projects
1. One of the many areas of artificial intelligence, deep learning, is an integral part of Google services to provide useful recommendations on YouTube. Google Brain, the AI-based technology at the foundation of YouTube monitors and records users ’ viewing habits as they use the app to stream content. Deep neural networks analyze everything about the users viewing habits and preferences to personalize their feeds in a way that they will be addicted to the app and the ad money keeps rolling in making the company profitable.
3. Google’s Cloud Video Intelligence segments and analyses all the videos stored on Google for context and content to generate video summaries automatically and alerts when the system notices suspicious activities.
5. Google plans to reshape the $3 trillion healthcare industry in the US by using AI for disease detection, diagnosis, and treatment. This comes on the lines of Google’s machine learning program being able to detect breast cancer with 89% accuracy compared to pathologists who could do it with 73% accuracy. EY reported that Alphabet filed about 186 patents between 2013 and 2013 pertaining to the healthcare industry and its AI companies
and Verily Life Science.Amazon
Amazon is a trillion-dollar company, thanks to artificial intelligence. It’s one of the first companies to provide collaborative filtering-based personalized recommendations of the products on the domains. Amazon’s investment in machine learning and AI efforts helped the company ace customer service.AI products
1. “Anticipatory shipping” is amazon’s patented feature that allows products to reach your nearest possible location before you actually place the order to purchase the product. This forecasting is powered by AI which is also the underlying technology for its Prime Now service that facilitates one-hour deliveries. Amazon calculates the number of drivers required to make deliveries using an app called Flex that depends on AI. The app considers many factors like the number of packages in the same locality, the weight of the package, etc to make every minute count.
2. Amazon also uses an Ai-powered dynamic pricing algorithm to get an edge over competitors. The algorithm uses AI to enable optimal sales and revenue automatically by decreasing the prices of the products to increase sales when it’s needed and vice-versa.
3. Amazon’s AI-backed recommendation engines generate 35% of the total revenues. This algorithm uses data from customer’s previous purchases, preferences, browsing history, search history to create a list of personalized products that a customer will likely buy.
4. The company’s AI-powered sampling strategy uses infrastructure and product purchase data to identify products that each customer is likely to buy. The company then sends samples of new products to customers that chosen by machine learning models. This has been implemented on Prime subscribers.
check-out free physical stores
have AI cameras and sensors that charge a customer automatically when they walk out of the store with the product using the Amazon Go App.
6. Alexa is also powered by AI and has helped many companies add value to their customer service.Microsoft
Microsoft has launched many AI solutions across industries like healthcare, retail, education, banking, etc. One of the oldest contenders, here is Microsoft’s AI products and plans.
1. Microsoft uses AI to fight against cybercriminals by learning from the data of every company that uses its services. The company’s
Azure security team
customizes security to a client’s online behavior. By this, they were successful at bringing its false-positive rate down from 2.8% to 0.001% by tracking down fake logins.
2. With its AI initiative project Hanover, Microsoft is bringing a change to the healthcare industry by helping to find the best cancer treatment. A group of researchers have created algorithms to understand how cancer develops and predict the best drug combinations to fight it.
3. Maritime ships transport 90% of goods across the sea which produces at least 3% of the global carbon emissions. As many companies don’t know how much fuel the ships actually consume, Microsoft’s AI solutions help in determining fuel efficiency with frequent data on climate and vessel speed to reduce fuel charges.
5. With an aim to help farmers, Microsoft partnered with ICRISAT to AI in increasing the crop yields by 10 to 30% by predicting the best sowing date for crops.
6. Carlsberg, a leading beer and beverages company, uses Microsoft’s AI solutions to detect various aromas and flavors of beer, and also improve the quality of existing beers.
GDPR regulations give European citizens a legal right to see all the personal data held on them, among other rights. But a tech writer requesting data from Apple, Amazon, Facebook and Google found that the data isn’t as easy to understand as it should be …
The Verge’s Jon Porter conducted the test.
What I found suggested that while you can certainly get the raw data, actually understanding it is another matter, which makes it harder to make informed decisions about your data.
[The law requires that personal data] be provided to the individual in a “concise, transparent, intelligible and easily accessible form, using clear and plain language” in a “commonly used electronic format.”
But the extent to which companies comply with the ‘intelligible and easily accessible’ part of that varies, with Facebook ironically doing the best job, followed by Amazon, then Apple, and finally Google.
Facebook, wrote Porter, was the gold standard.
Facebook actually had the most comprehensible data of the four services. For starters, every single file Facebook gives you is an HTML file. Each is sorted into its own clearly labeled folder, and an index file gives you an overview of what each document contains. The files themselves are clearly laid out and formatted, and browsing them feels almost like browsing a page on Facebook itself, albeit one that’s stored entirely locally on your computer.
Apple provided a mix of different file formats, and didn’t make it easy to parse.
The majority of the data Apple provided was in file types that were easy to read and understand like CSV, TXT, and JPG, with only a couple of JSON files to confuse things.
But once you get into these files, there’s still a lot of information that’s difficult to understand. A file titled, “Apple ID Account Information” appeared to contain 11 nearly identical records about my Apple account, all created on exactly the same date in 2014, with no explanation as to what they were. Another CSV file with the ambiguous title of “Apps and Service Analytics” appears to contain an entire list of every single one of my App Store searches, but it has so many empty cells that I only noticed it had data in it when I saw its 6.7MB file size.
Amazon was a little better, but Google did very poorly.
All of my location data from Google was contained within a single 61MB JSON file, and opening it with Chrome revealed a bewildering array of fields labeled “timestampMs,” “latitudeE7,” “logitudeE7,” and estimations about whether I was sitting still or in some kind of transport (I assume).
I don’t doubt that this is all the location history information that Google has associated with my account, but without context, this data is meaningless. It’s a series of numbers that I’d have to make a serious effort to even begin to understand and import into another piece of software to properly parse.
Other Google data was equally hard to understand. Indeed, the company recently received the largest GDPR fine to date for lack of transparency.
You can argue that file formats like CSV comply with the letter of the law. They are commonly used, and most consumers have software that will open them – as text files if nothing else. CSV is also a good format if you want to run some kind of analysis on the data.
But the spirit of the law is that ordinary consumers can easily understand how much a company knows about them, and whether they are happy for it to have that data. I can’t help feeling that Facebook’s approach is the right one here. HTML lets consumers easily browse the data in the familiar environment of a web-browser, easily getting a sense of whether or not they are comfortable with what they see.
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