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ChatGPT 4.0 Is Coming

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ChatGPT 4.0 Is Coming

GPT-4, is said by some to be “next-level” and disruptive, but what will the reality be?

CEO Sam Altman answers questions about the GPT-4 and the future of AI.

Hints that GPT-4 Will Be Multimodal AI?

In a podcast interview (AI for the Next Era) from September 13, 2022, OpenAI CEO Sam Altman discussed the near future of AI technology.

Of particular interest is that he said that a multimodal model was in the near future.

Multimodal means the ability to function in multiple modes, such as text, images, and sounds.

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OpenAI interacts with humans through text inputs. Whether it’s Dall-E or ChatGPT, it’s strictly a textual interaction.

An AI with multimodal capabilities can interact through speech. It can listen to commands and provide information or perform a task.

Altman offered these tantalizing details about what to expect soon:

“I think we’ll get multimodal models in not that much longer, and that’ll open up new things.

I think people are doing amazing work with agents that can use computers to do things for you, use programs and this idea of a language interface where you say a natural language – what you want in this kind of dialogue back and forth.

You can iterate and refine it, and the computer just does it for you.

You see some of this with DALL-E and CoPilot in very early ways.”

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Altman didn’t specifically say that GPT-4 will be multimodal. But he did hint that it was coming within a short time frame.

Of particular interest is that he envisions multimodal AI as a platform for building new business models that aren’t possible today.

He compared multimodal AI to the mobile platform and how that opened opportunities for thousands of new ventures and jobs.

Altman said:

“…I think this is going to be a massive trend, and very large businesses will get built with this as the interface, and more generally [I think] that these very powerful models will be one of the genuine new technological platforms, which we haven’t really had since mobile.

And there’s always an explosion of new companies right after, so that’ll be cool.”

When asked about what the next stage of evolution was for AI, he responded with what he said were features that were a certainty.

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“I think we will get true multimodal models working.

And so not just text and images but every modality you have in one model is able to easily fluidly move between things.”

AI Models That Self-Improve?

Something that isn’t talked about much is that AI researchers want to create an AI that can learn by itself.

This ability goes beyond spontaneously understanding how to do things like translate between languages.

The spontaneous ability to do things is called emergence. It’s when new abilities emerge from increasing the amount of training data.

But an AI that learns by itself is something else entirely that isn’t dependent on how huge the training data is.

What Altman described is an AI that actually learns and self-upgrades its abilities.

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Furthermore, this kind of AI goes beyond the version paradigm that software traditionally follows, where a company releases version 3, version 3.5, and so on.

He envisions an AI model that is trained and then learns on its own, growing by itself into an improved version.

Altman didn’t indicate that GPT-4 will have this capability.

He just put this out there as something that they’re aiming for, apparently something that is within the realm of distinct possibility.

He explained an AI with the ability to self-learn:

“I think we will have models that continuously learn.

So right now, if you use GPT whatever, it’s stuck in the time that it was trained. And the more you use it, it doesn’t get any better and all of that.

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I think we’ll get that changed.

So I’m very excited about all of that.”

It’s unclear if Altman was talking about Artificial General Intelligence (AGI), but it sort of sounds like it.

Altman recently debunked the idea that OpenAI has an AGI, which is quoted later in this article.

Altman was prompted by the interviewer to explain how all of the ideas he was talking about were actual targets and plausible scenarios and not just opinions of what he’d like OpenAI to do.

The interviewer asked:

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“So one thing I think would be useful to share – because folks don’t realize that you’re actually making these strong predictions from a fairly critical point of view, not just ‘We can take that hill’…”

Altman explained that all of these things he’s talking about are predictions based on research that allows them to set a viable path forward to choose the next big project confidently.

He shared,

“We like to make predictions where we can be on the frontier, understand predictably what the scaling laws look like (or have already done the research) where we can say, ‘All right, this new thing is going to work and make predictions out of that way.’

And that’s how we try to run OpenAI, which is to do the next thing in front of us when we have high confidence and take 10% of the company to just totally go off and explore, which has led to huge wins.”

Can OpenAI Reach New Milestones With GPT-4?

One of the things necessary to drive OpenAI is money and massive amounts of computing resources.

Microsoft has already poured three billion dollars into OpenAI, and according to the New York Times, it is in talks to invest an additional $10 billion.

The New York Times reported that GPT-4 is expected to be released in the first quarter of 2023.

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It was hinted that GPT-4 might have multimodal capabilities, quoting a venture capitalist Matt McIlwain who has knowledge of GPT-4.

The Times reported:

“OpenAI is working on an even more powerful system called GPT-4, which could be released as soon as this quarter, according to Mr. McIlwain and four other people with knowledge of the effort.

…Built using Microsoft’s huge network for computer data centers, the new chatbot could be a system much like ChatGPT that solely generates text. Or it could juggle images as well as text.

Some venture capitalists and Microsoft employees have already seen the service in action.

But OpenAI has not yet determined whether the new system will be released with capabilities involving images.”

The Money Follows OpenAI

While OpenAI hasn’t shared details with the public, it has been sharing details with the venture funding community.

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It is currently in talks that would value the company as high as $29 billion.

That is a remarkable achievement because OpenAI is not currently earning significant revenue, and the current economic climate has forced the valuations of many technology companies to go down.

The Observer reported:

“Venture capital firms Thrive Capital and Founders Fund are among the investors interested in buying a total of $300 million worth of OpenAI shares, the Journal reported. The deal is structured as a tender offer, with the investors buying shares from existing shareholders, including employees.”

The high valuation of OpenAI can be seen as a validation for the future of the technology, and that future is currently GPT-4.

Sam Altman Answers Questions About GPT-4

Sam Altman was interviewed recently for the StrictlyVC program, where he confirms that OpenAI is working on a video model, which sounds incredible but could also lead to serious negative outcomes.

While the video part was not said to be a component of GPT-4, what was of interest and possibly related, is that Altman was emphatic that OpenAI would not release GPT-4 until they were assured that it was safe.

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The relevant part of the interview occurs at the 4:37 minute mark:

The interviewer asked:

“Can you comment on whether GPT-4 is coming out in the first quarter, first half of the year?”

Sam Altman responded:

“It’ll come out at some point when we are like confident that we can do it safely and responsibly.

I think in general we are going to release technology much more slowly than people would like.

We’re going to sit on it much  longer than people would like.

And eventually people will be like happy with our approach to this.

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But at the time I realized like people want the shiny toy and it’s frustrating and I totally get that.”

Twitter is abuzz with rumors that are difficult to confirm. One unconfirmed rumor is that it will have 100 trillion parameters (compared to GPT-3’s 175 billion parameters).

That rumor was debunked by Sam Altman in the StrictlyVC interview program, where he also said that OpenAI doesn’t have Artificial General Intelligence (AGI), which is the ability to learn anything that a human can.

Altman commented:

“I saw that on Twitter.  It’s complete b——t.

The GPT rumor mill is like a ridiculous thing.

…People are begging to be disappointed and they will be.

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…We don’t have an actual AGI and I think that’s sort of what’s expected of us and you know, yeah… we’re going to disappoint those people. “

Many Rumors, Few Facts

The two facts about GPT-4 that are reliable are that OpenAI has been cryptic about GPT-4 to the point that the public knows virtually nothing, and the other is that OpenAI won’t release a product until it knows it is safe.

So at this point, it is difficult to say with certainty what GPT-4 will look like and what it will be capable of.

But a tweet by technology writer Robert Scoble claims that it will be next-level and a disruption.

Nevertheless, Sam Altman has cautioned not to set expectations too high.

More resources:


Featured Image: salarko/Shutterstock

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How To Write ChatGPT Prompts To Get The Best Results

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How To Write ChatGPT Prompts To Get The Best Results

ChatGPT is a game changer in the field of SEO. This powerful language model can generate human-like content, making it an invaluable tool for SEO professionals.

However, the prompts you provide largely determine the quality of the output.

To unlock the full potential of ChatGPT and create content that resonates with your audience and search engines, writing effective prompts is crucial.

In this comprehensive guide, we’ll explore the art of writing prompts for ChatGPT, covering everything from basic techniques to advanced strategies for layering prompts and generating high-quality, SEO-friendly content.

Writing Prompts For ChatGPT

What Is A ChatGPT Prompt?

A ChatGPT prompt is an instruction or discussion topic a user provides for the ChatGPT AI model to respond to.

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The prompt can be a question, statement, or any other stimulus to spark creativity, reflection, or engagement.

Users can use the prompt to generate ideas, share their thoughts, or start a conversation.

ChatGPT prompts are designed to be open-ended and can be customized based on the user’s preferences and interests.

How To Write Prompts For ChatGPT

Start by giving ChatGPT a writing prompt, such as, “Write a short story about a person who discovers they have a superpower.”

ChatGPT will then generate a response based on your prompt. Depending on the prompt’s complexity and the level of detail you requested, the answer may be a few sentences or several paragraphs long.

Use the ChatGPT-generated response as a starting point for your writing. You can take the ideas and concepts presented in the answer and expand upon them, adding your own unique spin to the story.

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If you want to generate additional ideas, try asking ChatGPT follow-up questions related to your original prompt.

For example, you could ask, “What challenges might the person face in exploring their newfound superpower?” Or, “How might the person’s relationships with others be affected by their superpower?”

Remember that ChatGPT’s answers are generated by artificial intelligence and may not always be perfect or exactly what you want.

However, they can still be a great source of inspiration and help you start writing.

Must-Have GPTs Assistant

I recommend installing the WebBrowser Assistant created by the OpenAI Team. This tool allows you to add relevant Bing results to your ChatGPT prompts.

This assistant adds the first web results to your ChatGPT prompts for more accurate and up-to-date conversations.

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It is very easy to install in only two clicks. (Click on Start Chat.)

Screenshot from ChatGPT, April 2024

For example, if I ask, “Who is Vincent Terrasi?,” ChatGPT has no answer.

With WebBrower Assistant, the assistant creates a new prompt with the first Bing results, and now ChatGPT knows who Vincent Terrasi is.

Enabling reverse prompt engineeringScreenshot from ChatGPT, March 2023

You can test other GPT assistants available in the GPTs search engine if you want to use Google results.

Master Reverse Prompt Engineering

ChatGPT can be an excellent tool for reverse engineering prompts because it generates natural and engaging responses to any given input.

By analyzing the prompts generated by ChatGPT, it is possible to gain insight into the model’s underlying thought processes and decision-making strategies.

One key benefit of using ChatGPT to reverse engineer prompts is that the model is highly transparent in its decision-making.

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This means that the reasoning and logic behind each response can be traced, making it easier to understand how the model arrives at its conclusions.

Once you’ve done this a few times for different types of content, you’ll gain insight into crafting more effective prompts.

Prepare Your ChatGPT For Generating Prompts

First, activate the reverse prompt engineering.

  • Type the following prompt: “Enable Reverse Prompt Engineering? By Reverse Prompt Engineering I mean creating a prompt from a given text.”
Enabling reverse prompt engineeringScreenshot from ChatGPT, March 2023

ChatGPT is now ready to generate your prompt. You can test the product description in a new chatbot session and evaluate the generated prompt.

  • Type: “Create a very technical reverse prompt engineering template for a product description about iPhone 11.”
Reverse Prompt engineering via WebChatGPTScreenshot from ChatGPT, March 2023

The result is amazing. You can test with a full text that you want to reproduce. Here is an example of a prompt for selling a Kindle on Amazon.

  • Type: “Reverse Prompt engineer the following {product), capture the writing style and the length of the text :
    product =”
Reverse prompt engineering: Amazon productScreenshot from ChatGPT, March 2023

I tested it on an SEJ blog post. Enjoy the analysis – it is excellent.

  • Type: “Reverse Prompt engineer the following {text}, capture the tone and writing style of the {text} to include in the prompt :
    text = all text coming from https://www.searchenginejournal.com/google-bard-training-data/478941/”
Reverse prompt engineering an SEJ blog postScreenshot from ChatGPT, March 2023

But be careful not to use ChatGPT to generate your texts. It is just a personal assistant.

Go Deeper

Prompts and examples for SEO:

  • Keyword research and content ideas prompt: “Provide a list of 20 long-tail keyword ideas related to ‘local SEO strategies’ along with brief content topic descriptions for each keyword.”
  • Optimizing content for featured snippets prompt: “Write a 40-50 word paragraph optimized for the query ‘what is the featured snippet in Google search’ that could potentially earn the featured snippet.”
  • Creating meta descriptions prompt: “Draft a compelling meta description for the following blog post title: ’10 Technical SEO Factors You Can’t Ignore in 2024′.”

Important Considerations:

  • Always Fact-Check: While ChatGPT can be a helpful tool, it’s crucial to remember that it may generate inaccurate or fabricated information. Always verify any facts, statistics, or quotes generated by ChatGPT before incorporating them into your content.
  • Maintain Control and Creativity: Use ChatGPT as a tool to assist your writing, not replace it. Don’t rely on it to do your thinking or create content from scratch. Your unique perspective and creativity are essential for producing high-quality, engaging content.
  • Iteration is Key: Refine and revise the outputs generated by ChatGPT to ensure they align with your voice, style, and intended message.

Additional Prompts for Rewording and SEO:
– Rewrite this sentence to be more concise and impactful.
– Suggest alternative phrasing for this section to improve clarity.
– Identify opportunities to incorporate relevant internal and external links.
– Analyze the keyword density and suggest improvements for better SEO.

Remember, while ChatGPT can be a valuable tool, it’s essential to use it responsibly and maintain control over your content creation process.

Experiment And Refine Your Prompting Techniques

Writing effective prompts for ChatGPT is an essential skill for any SEO professional who wants to harness the power of AI-generated content.

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Hopefully, the insights and examples shared in this article can inspire you and help guide you to crafting stronger prompts that yield high-quality content.

Remember to experiment with layering prompts, iterating on the output, and continually refining your prompting techniques.

This will help you stay ahead of the curve in the ever-changing world of SEO.

More resources: 


Featured Image: Tapati Rinchumrus/Shutterstock

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Measuring Content Impact Across The Customer Journey

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Measuring Content Impact Across The Customer Journey

Understanding the impact of your content at every touchpoint of the customer journey is essential – but that’s easier said than done. From attracting potential leads to nurturing them into loyal customers, there are many touchpoints to look into.

So how do you identify and take advantage of these opportunities for growth?

Watch this on-demand webinar and learn a comprehensive approach for measuring the value of your content initiatives, so you can optimize resource allocation for maximum impact.

You’ll learn:

  • Fresh methods for measuring your content’s impact.
  • Fascinating insights using first-touch attribution, and how it differs from the usual last-touch perspective.
  • Ways to persuade decision-makers to invest in more content by showcasing its value convincingly.

With Bill Franklin and Oliver Tani of DAC Group, we unravel the nuances of attribution modeling, emphasizing the significance of layering first-touch and last-touch attribution within your measurement strategy. 

Check out these insights to help you craft compelling content tailored to each stage, using an approach rooted in first-hand experience to ensure your content resonates.

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Whether you’re a seasoned marketer or new to content measurement, this webinar promises valuable insights and actionable tactics to elevate your SEO game and optimize your content initiatives for success. 

View the slides below or check out the full webinar for all the details.

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How to Find and Use Competitor Keywords

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How to Find and Use Competitor Keywords

Competitor keywords are the keywords your rivals rank for in Google’s search results. They may rank organically or pay for Google Ads to rank in the paid results.

Knowing your competitors’ keywords is the easiest form of keyword research. If your competitors rank for or target particular keywords, it might be worth it for you to target them, too.

There is no way to see your competitors’ keywords without a tool like Ahrefs, which has a database of keywords and the sites that rank for them. As far as we know, Ahrefs has the biggest database of these keywords.

How to find all the keywords your competitor ranks for

  1. Go to Ahrefs’ Site Explorer
  2. Enter your competitor’s domain
  3. Go to the Organic keywords report

The report is sorted by traffic to show you the keywords sending your competitor the most visits. For example, Mailchimp gets most of its organic traffic from the keyword “mailchimp.”

Mailchimp gets most of its organic traffic from the keyword, “mailchimp”.Mailchimp gets most of its organic traffic from the keyword, “mailchimp”.

Since you’re unlikely to rank for your competitor’s brand, you might want to exclude branded keywords from the report. You can do this by adding a Keyword > Doesn’t contain filter. In this example, we’ll filter out keywords containing “mailchimp” or any potential misspellings:

Filtering out branded keywords in Organic keywords reportFiltering out branded keywords in Organic keywords report

If you’re a new brand competing with one that’s established, you might also want to look for popular low-difficulty keywords. You can do this by setting the Volume filter to a minimum of 500 and the KD filter to a maximum of 10.

Finding popular, low-difficulty keywords in Organic keywordsFinding popular, low-difficulty keywords in Organic keywords

How to find keywords your competitor ranks for, but you don’t

  1. Go to Competitive Analysis
  2. Enter your domain in the This target doesn’t rank for section
  3. Enter your competitor’s domain in the But these competitors do section
Competitive analysis reportCompetitive analysis report

Hit “Show keyword opportunities,” and you’ll see all the keywords your competitor ranks for, but you don’t.

Content gap reportContent gap report

You can also add a Volume and KD filter to find popular, low-difficulty keywords in this report.

Volume and KD filter in Content gapVolume and KD filter in Content gap

How to find keywords multiple competitors rank for, but you don’t

  1. Go to Competitive Analysis
  2. Enter your domain in the This target doesn’t rank for section
  3. Enter the domains of multiple competitors in the But these competitors do section
Competitive analysis report with multiple competitorsCompetitive analysis report with multiple competitors

You’ll see all the keywords that at least one of these competitors ranks for, but you don’t.

Content gap report with multiple competitorsContent gap report with multiple competitors

You can also narrow the list down to keywords that all competitors rank for. Click on the Competitors’ positions filter and choose All 3 competitors:

Selecting all 3 competitors to see keywords all 3 competitors rank forSelecting all 3 competitors to see keywords all 3 competitors rank for
  1. Go to Ahrefs’ Site Explorer
  2. Enter your competitor’s domain
  3. Go to the Paid keywords report
Paid keywords reportPaid keywords report

This report shows you the keywords your competitors are targeting via Google Ads.

Since your competitor is paying for traffic from these keywords, it may indicate that they’re profitable for them—and could be for you, too.

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You know what keywords your competitors are ranking for or bidding on. But what do you do with them? There are basically three options.

1. Create pages to target these keywords

You can only rank for keywords if you have content about them. So, the most straightforward thing you can do for competitors’ keywords you want to rank for is to create pages to target them.

However, before you do this, it’s worth clustering your competitor’s keywords by Parent Topic. This will group keywords that mean the same or similar things so you can target them all with one page.

Here’s how to do that:

  1. Export your competitor’s keywords, either from the Organic Keywords or Content Gap report
  2. Paste them into Keywords Explorer
  3. Click the “Clusters by Parent Topic” tab
Clustering keywords by Parent TopicClustering keywords by Parent Topic

For example, MailChimp ranks for keywords like “what is digital marketing” and “digital marketing definition.” These and many others get clustered under the Parent Topic of “digital marketing” because people searching for them are all looking for the same thing: a definition of digital marketing. You only need to create one page to potentially rank for all these keywords.

Keywords under the cluster of "digital marketing"Keywords under the cluster of "digital marketing"

2. Optimize existing content by filling subtopics

You don’t always need to create new content to rank for competitors’ keywords. Sometimes, you can optimize the content you already have to rank for them.

How do you know which keywords you can do this for? Try this:

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  1. Export your competitor’s keywords
  2. Paste them into Keywords Explorer
  3. Click the “Clusters by Parent Topic” tab
  4. Look for Parent Topics you already have content about

For example, if we analyze our competitor, we can see that seven keywords they rank for fall under the Parent Topic of “press release template.”

Our competitor ranks for seven keywords that fall under the "press release template" clusterOur competitor ranks for seven keywords that fall under the "press release template" cluster

If we search our site, we see that we already have a page about this topic.

Site search finds that we already have a blog post on press release templatesSite search finds that we already have a blog post on press release templates

If we click the caret and check the keywords in the cluster, we see keywords like “press release example” and “press release format.”

Keywords under the cluster of "press release template"Keywords under the cluster of "press release template"

To rank for the keywords in the cluster, we can probably optimize the page we already have by adding sections about the subtopics of “press release examples” and “press release format.”

3. Target these keywords with Google Ads

Paid keywords are the simplest—look through the report and see if there are any relevant keywords you might want to target, too.

For example, Mailchimp is bidding for the keyword “how to create a newsletter.”

Mailchimp is bidding for the keyword “how to create a newsletter”Mailchimp is bidding for the keyword “how to create a newsletter”

If you’re ConvertKit, you may also want to target this keyword since it’s relevant.

If you decide to target the same keyword via Google Ads, you can hover over the magnifying glass to see the ads your competitor is using.

Mailchimp's Google Ad for the keyword “how to create a newsletter”Mailchimp's Google Ad for the keyword “how to create a newsletter”

You can also see the landing page your competitor directs ad traffic to under the URL column.

The landing page Mailchimp is directing traffic to for “how to create a newsletter”The landing page Mailchimp is directing traffic to for “how to create a newsletter”

Learn more

Check out more tutorials on how to do competitor keyword analysis:

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