Deepfake Technology Pros & Cons For Digital Marketing

Published

1 year ago

June 22, 2022

Deepfake Technology Pros & Cons For Digital Marketing

Deepfake technology is changing the way people see digital marketing.

Though marketers are still in the early stages of experimenting with deepfakes and deepfake technology, these videos convey a more immersive marketing experience through storytelling.

Deepfake technology is a type of “deep learning.”

Deep learning is a machine learning type that allows computers to learn tasks independently without being explicitly programmed.

Deepfake technology also involves computer vision, allowing computers to recognize objects in images.

For example, computer vision uses deep learning algorithms to identify objects in photos or videos. So it can tell you whether there’s a dog in your photo or not!

In addition to computer vision and deep learning technologies, the creation process for deepfakes involves image synthesis:

Taking one image (like someone holding up an American flag).
Combining it with another image (a person holding up an Australian flag).
And creating something new from these two components (a person holding up both flags).

Deepfake Examples

If the concept of deepfakes is still hard to grasp, here are examples of deepfake videos that have circled the web:

Deepfake Pros

This type of technology is beneficial for marketers in three ways:

First, it can lower the cost of video campaigns.
Second, it can create better omnichannel campaigns.
Third, it can provide a hyper-personalized experience for the customer.

Low Cost

Marketers can save money on video campaigns using deepfakes because in-person actors are unnecessary.

Instead, they can purchase a license for an actor’s identity, use previous digital recordings, insert the appropriate dialogue and create a new video.

This process also saves time for businesses that want to use their employees for ads.

So, for example, if a CEO doesn’t have time to record a new ad, marketers only need a few previous recordings to create a new campaign.

Additionally, when creating a deepfake, there’s no need to reshoot the footage.

This is particularly useful for marketers on a tight budget who still want to produce high-quality content for their campaigns.

Better Omni Channel Campaigns

Since deepfakes don’t need in-person actors, marketers can easily repurpose content for numerous marketing channels with less time and money.

Instead of reshooting the campaign to accommodate different media, marketers can edit the video cuts to create a social campaign.

Or, they can create new synthetic dialogue to create a podcast or radio ad.

Hyper-Personalization

This technology has led to an increase in hyper-personalization.

Brands can provide more relevant messaging and experiences for individual customers based on their personal preferences — such as the color of their skin.

Say a customer was a different ethnicity than a brand’s model for marketing.

Deepfake technology can change the skin tone of that model so the customer can experience what the product would look like on their skin tone.

This process helps brands increase inclusivity and reach a broader market.

Also, if a video is needed in multiple languages, deepfake technology can help.

Marketing messages can be personalized by location at the push of a button.

Deepfake Cons

Unfortunately, deepfake videos have been used for more nefarious purposes.

For marketers, this can mean fake customer complaints, fake product reviews, and an overall decrease in customer trust.

Lack Of Trust

The most apparent impact of deepfakes is that they are used to create fake videos, which means that verifying the authenticity of any given video becomes more challenging.

Even if you could tell for sure whether or not someone’s image was actual or not before viewing a video, it is still impossible for anyone who didn’t know the person personally.

For marketers, using deepfake videos could violate ethics if consumers feel manipulated by the campaign.

For example, if marketers use deepfakes to create fake positive reviews, that practice would be considered unethical.

On the other hand, if marketers use deepfakes to further a brand’s storytelling, that could be regarded as ethical.

Increase In Scams

Deepfake technology could increase potential scams, such as creating false accusations against companies.

These videos are made by taking recordings of actual incidents and changing the audio with new dialogue to make it seem like something that it isn’t.

For example, a German energy firm’s U.K. subsidiary handed over nearly $250,000 to a Hungarian bank account after a scammer used deepfake technology to mimic the CEO’s voice.

In addition, manufacturers can use this type of deepfake technology to create fake customer testimonials or product reviews that make their products appear more appealing than they are.

How Marketers Can Use Deepfakes In Their Campaigns

Despite the unfortunate ways people use deepfakes, marketers can make their campaigns come to life quickly with this technology.

Influencer Campaigns

Imagine booking one of the top influencers for a campaign.

You only need a bank of digital footage instead of requiring them to shoot a video for hours.

Artificial intelligence and machine learning do the rest.

Or, you could use historical influencers, such as Marilyn Monroe or Audrey Hepburn.

Since there are a plethora of video and voice recordings of them, marketers can use their likeness in a deepfake to boost their campaign.

Experiential Campaigns

To stand out against the crowd, brands can use deepfakes to immerse the consumer into a shopping experience.

For example, ecommerce stores can superimpose a shopper’s face onto a model’s body to see how the clothes look.

Nostalgic Ad Campaigns

State Farm created one famous example of deepfake technology.

The insurance company created an ad for the series The Last Dance by superimposing 1998 Sportscenter footage to make it look like Kenny Mayne predicted the documentary.

This deepfake was made purely for entertainment and created nostalgia with viewers that remember that iconic time for the Chicago Bulls basketball team.

Product Demos

Product demos could become experiential for customers.

Instead of using the same b-roll for all clients, marketers could create personalized demos that show the actual client using their product. It can’t get more personal than that, can it?

This technology is here to stay, and it will continue to evolve.

In the digital marketing space, deepfake technology has both advantages and disadvantages.

While there are ethical implications, deepfake videos allow brands to stretch their marketing budgets and reach new audiences.

As long as marketers avoid making campaigns with malicious intent, deepfakes can help both the brand and the consumer by creating a more personalized, immersive experience.

More resources:

Featured Image: Andrii Symonenko/Shutterstock

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4 Ways To Try The New Model From Mistral AI

Published

8 hours ago

December 11, 2023

Max

4 Ways To Try The New Model From Mistral AI

In a significant leap in large language model (LLM) development, Mistral AI announced the release of its newest model, Mixtral-8x7B.

magnet:?xt=urn:btih:5546272da9065eddeb6fcd7ffddeef5b75be79a7&dn=mixtral-8x7b-32kseqlen&tr=udp%3A%2F%https://t.co/uV4WVdtpwZ%3A6969%2Fannounce&tr=http%3A%2F%https://t.co/g0m9cEUz0T%3A80%2Fannounce

RELEASE a6bbd9affe0c2725c1b7410d66833e24

— Mistral AI (@MistralAI) December 8, 2023

What Is Mixtral-8x7B?

Mixtral-8x7B from Mistral AI is a Mixture of Experts (MoE) model designed to enhance how machines understand and generate text.

Imagine it as a team of specialized experts, each skilled in a different area, working together to handle various types of information and tasks.

A report published in June reportedly shed light on the intricacies of OpenAI’s GPT-4, highlighting that it employs a similar approach to MoE, utilizing 16 experts, each with around 111 billion parameters, and routes two experts per forward pass to optimize costs.

This approach allows the model to manage diverse and complex data efficiently, making it helpful in creating content, engaging in conversations, or translating languages.

Mixtral-8x7B Performance Metrics

Mistral AI’s new model, Mixtral-8x7B, represents a significant step forward from its previous model, Mistral-7B-v0.1.

It’s designed to understand better and create text, a key feature for anyone looking to use AI for writing or communication tasks.

New open weights LLM from @MistralAI

params.json:
– hidden_dim / dim = 14336/4096 => 3.5X MLP expand
– n_heads / n_kv_heads = 32/8 => 4X multiquery
– “moe” => mixture of experts 8X top 2 👀

Likely related code: https://t.co/yrqRtYhxKR

Oddly absent: an over-rehearsed… https://t.co/8PvqdHz1bR pic.twitter.com/xMDRj3WAVh

— Andrej Karpathy (@karpathy) December 8, 2023

This latest addition to the Mistral family promises to revolutionize the AI landscape with its enhanced performance metrics, as shared by OpenCompass.

Mixtral-8x7B: 4 Ways To Try The New Model From Mistral AI

What makes Mixtral-8x7B stand out is not just its improvement over Mistral AI’s previous version, but the way it measures up to models like Llama2-70B and Qwen-72B.

mixtral-8x7b performance metrics compared to llama 2 open source ai models

It’s like having an assistant who can understand complex ideas and express them clearly.

One of the key strengths of the Mixtral-8x7B is its ability to handle specialized tasks.

For example, it performed exceptionally well in specific tests designed to evaluate AI models, indicating that it’s good at general text understanding and generation and excels in more niche areas.

This makes it a valuable tool for marketing professionals and SEO experts who need AI that can adapt to different content and technical requirements.

The Mixtral-8x7B’s ability to deal with complex math and coding problems also suggests it can be a helpful ally for those working in more technical aspects of SEO, where understanding and solving algorithmic challenges are crucial.

This new model could become a versatile and intelligent partner for a wide range of digital content and strategy needs.

How To Try Mixtral-8x7B: 4 Demos

You can experiment with Mistral AI’s new model, Mixtral-8x7B, to see how it responds to queries and how it performs compared to other open-source models and OpenAI’s GPT-4.

Please note that, like all generative AI content, platforms running this new model may produce inaccurate information or otherwise unintended results.

User feedback for new models like this one will help companies like Mistral AI improve future versions and models.

1. Perplexity Labs Playground

In Perplexity Labs, you can try Mixtral-8x7B along with Meta AI’s Llama 2, Mistral-7b, and Perplexity’s new online LLMs.

In this example, I ask about the model itself and notice that new instructions are added after the initial response to extend the generated content about my query.

Screenshot from Perplexity, December 2023 mixtral-8x7b perplexity labs playground

While the answer looks correct, it begins to repeat itself.

Screenshot from Perplexity Labs, December 2023 mixtral-8x7b errors

The model did provide an over 600-word answer to the question, “What is SEO?”

Again, additional instructions appear as “headers” to seemingly ensure a comprehensive answer.

Screenshot from Perplexity Labs, December 2023 what is seo by mixtral-8x7b

2. Poe

Poe hosts bots for popular LLMs, including OpenAI’s GPT-4 and DALL·E 3, Meta AI’s Llama 2 and Code Llama, Google’s PaLM 2, Anthropic’s Claude-instant and Claude 2, and StableDiffusionXL.

These bots cover a wide spectrum of capabilities, including text, image, and code generation.

The Mixtral-8x7B-Chat bot is operated by Fireworks AI.

Screenshot from Poe, December 2023 poe bot for mixtral-8x7b firebase

It’s worth noting that the Fireworks page specifies it is an “unofficial implementation” that was fine-tuned for chat.

When asked what the best backlinks for SEO are, it provided a valid answer.

Screenshot from Poe, December 2023 mixtral-8x7b poe best backlinks response

Compare this to the response offered by Google Bard.

Mixtral-8x7B: 4 Ways To Try The New Model From Mistral AI

Screenshot from Google Bard, December 2023 Mixtral-8x7B: 4 Ways To Try The New Model From Mistral AI

3. Vercel

Vercel offers a demo of Mixtral-8x7B that allows users to compare responses from popular Anthropic, Cohere, Meta AI, and OpenAI models.

Screenshot from Vercel, December 2023 vercel mixtral-8x7b demo compare gpt-4

It offers an interesting perspective on how each model interprets and responds to user questions.

Screenshot from Vercel, December 2023 mixtral-8x7b vs cohere on best resources for learning seo

Like many LLMs, it does occasionally hallucinate.

Screenshot from Vercel, December 2023 mixtral-8x7b hallucinations

4. Replicate

The mixtral-8x7b-32 demo on Replicate is based on this source code. It is also noted in the README that “Inference is quite inefficient.”

Screenshot from Replicate, December 2023 Mixtral-8x7B: 4 Ways To Try The New Model From Mistral AI

In the example above, Mixtral-8x7B describes itself as a game.

Conclusion

Mistral AI’s latest release sets a new benchmark in the AI field, offering enhanced performance and versatility. But like many LLMs, it can provide inaccurate and unexpected answers.

As AI continues to evolve, models like the Mixtral-8x7B could become integral in shaping advanced AI tools for marketing and business.

Featured image: T. Schneider/Shutterstock

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SEO

OpenAI Investigates ‘Lazy’ GPT-4 Complaints On Google Reviews, X

Published

1 day ago

December 10, 2023

Max

OpenAI, the company that launched ChatGPT a little over a year ago, has recently taken to social media to address concerns regarding the “lazy” performance of GPT-4 on social media and Google Reviews.

Screenshot from X, December 2023 OpenAI Investigates ‘Lazy’ GPT-4 Complaints On Google Reviews, X

This move comes after growing user feedback online, which even includes a one-star review on the company’s Google Reviews.

OpenAI Gives Insight Into Training Chat Models, Performance Evaluations, And A/B Testing

OpenAI, through its @ChatGPTapp Twitter account, detailed the complexities involved in training chat models.

Screenshot from X, December 2023 chatgpt openai a/b testing

The organization highlighted that the process is not a “clean industrial process” and that variations in training runs can lead to noticeable differences in the AI’s personality, creative style, and political bias.

Thorough AI model testing includes offline evaluation metrics and online A/B tests. The final decision to release a new model is based on a data-driven approach to improve the “real” user experience.

OpenAI’s Google Review Score Affected By GPT-4 Performance, Billing Issues

This explanation comes after weeks of user feedback about GPT-4 becoming worse on social media networks like X.

Idk if anyone else has noticed this, but GPT-4 Turbo performance is significantly worse than GPT-4 standard.

I know it’s in preview right now but it’s significantly worse.

— Max Weinbach (@MaxWinebach) November 8, 2023

There has been discussion if GPT-4 has become “lazy” recently. My anecdotal testing suggests it may be true.

I repeated a sequence of old analyses I did with Code Interpreter. GPT-4 still knows what to do, but keeps telling me to do the work. One step is now many & some are odd. pic.twitter.com/OhGAMtd3Zq

— Ethan Mollick (@emollick) November 28, 2023

Complaints also appeared in OpenAI’s community forums.

Screenshot from OpenAI, December 2023 openai community forums gpt-4 user feedback

The experience led one user to leave a one-star rating for OpenAI via Google Reviews. Other complaints regarded accounts, billing, and the artificial nature of AI.

Screenshot from Google Reviews, December 2023 openai google reviews star rating

A recent user on Product Hunt gave OpenAI a rating that also appears to be related to GPT-4 worsening.

Screenshot from Product Hunt, December 2023 openai reviews

GPT-4 isn’t the only issue that local reviewers complain about. On Yelp, OpenAI has a one-star rating for ChatGPT 3.5 performance.

OpenAI is now only 3.8 stars on Google Maps and a dismal 1 star on Yelp!

GPT-4’s degradation has really hurt their rating. Hope the business survives.https://t.co/RF8uJH1WQ5 pic.twitter.com/OghAZLCiVu

— Nate Chan (@nathanwchan) December 9, 2023

The complaint:

Screenshot from Yelp, December 2023 yelp openai chatgpt review

In related OpenAI news, the review with the most likes aligns with recent rumors about a volatile workplace, alleging that OpenAI is a “Cutthroat environment. Not friendly. Toxic workers.”

Screenshot from Google Reviews, December 2023 google review for openai toxic workers

The reviews voted the most helpful on Glassdoor about OpenAI suggested that employee frustration and product development issues stem from the company’s shift in focus on profits.

openai employee review on glassdoor

Screenshots from Glassdoor, December 2023 openai employee reviews

This incident provides a unique outlook on how customer and employee experiences can impact any business through local reviews and business ratings platforms.

Screenshot from Google, December 2023 openai inc google business profile local serps google reviews

Google SGE Highlights Positive Google Reviews

In addition to occasional complaints, Google reviewers acknowledged the revolutionary impact of OpenAI’s technology on various fields.

The most positive review mentions about the company appear in Google SGE (Search Generative Experience).

Screenshot from Google SGE, December 2023 Google SGE response on OpenAI

Conclusion

OpenAI’s recent insights into training chat models and response to public feedback about GPT-4 performance illustrate AI technology’s dynamic and evolving nature and its impact on those who depend on the AI platform.

Especially the people who just received an invitation to join ChatGPT Plus after being waitlisted while OpenAI paused new subscriptions and upgrades. Or those developing GPTs for the upcoming GPT Store launch.

As AI advances, professionals in these fields must remain agile, informed, and responsive to technological developments and the public’s reception of these advancements.

Featured image: Tada Images/Shutterstock

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SEO

ChatGPT Plus Upgrades Paused; Waitlisted Users Receive Invites

Published

2 days ago

December 9, 2023

Max

ChatGPT Plus Upgrades Paused; Waitlisted Users Receive Invites

ChatGPT Plus subscriptions and upgrades remain paused after a surge in demand for new features created outages.

Some users who signed up for the waitlist have received invites to join ChatGPT Plus.

Screenshot from Gmail, December 2023 ChatGPT Plus Upgrades Paused; Waitlisted Users Receive Invites

This has resulted in a few shares of the link that is accessible for everyone. For now.

Found a hack to skip chatGPT plus wait list.

Follow the steps
– login to ChatGPT
– now if you click on upgrade
– Signup for waitlist(may not be necessary)
– now change the URL to https://t.co/4izOdNzarG
– Wallah you are in for payment #ChatGPT4 #hack #GPT4 #GPTPlus pic.twitter.com/J1GizlrOAx

— Ashish Mohite is building Notionpack Capture (@_ashishmohite) December 8, 2023

In addition to the invites, signs that more people are getting access to GPTs include an introductory screen popping up on free ChatGPT accounts.

Screenshot from ChatGPT, December 2023 ChatGPT Plus Upgrades Paused; Waitlisted Users Receive Invites

Unfortunately, they still aren’t accessible without a Plus subscription.

Screenshot from ChatGPT, December 2023 chatgpt plus subscriptions upgrades paused waitlist

You can sign up for the waitlist by clicking on the option to upgrade in the left sidebar of ChatGPT on a desktop browser.

Screenshot from ChatGPT, December 2023 ChatGPT Plus Upgrades Paused; Waitlisted Users Receive Invites

OpenAI also suggests ChatGPT Enterprise for those who need more capabilities, as outlined in the pricing plans below.

Screenshot from OpenAI, December 2023 ChatGPT Plus Upgrades Paused; Waitlisted Users Receive Invites

Why Are ChatGPT Plus Subscriptions Paused?

According to a post on X by OpenAI’s CEO Sam Altman, the recent surge in usage following the DevDay developers conference has led to capacity challenges, resulting in the decision to pause ChatGPT Plus signups.

we are pausing new ChatGPT Plus sign-ups for a bit 🙁

the surge in usage post devday has exceeded our capacity and we want to make sure everyone has a great experience.

you can still sign-up to be notified within the app when subs reopen.

— Sam Altman (@sama) November 15, 2023

The decision to pause new ChatGPT signups follows a week where OpenAI services – including ChatGPT and the API – experienced a series of outages related to high-demand and DDoS attacks.

Demand for ChatGPT Plus resulted in eBay listings supposedly offering one or more months of the premium subscription.

chatgpt plus accounts selling ebay for a premium 🫡🇺🇸 https://t.co/VdN8tuexKM pic.twitter.com/W522NGHsRV

— surya (@sdand) November 15, 2023

When Will ChatGPT Plus Subscriptions Resume?

So far, we don’t have any official word on when ChatGPT Plus subscriptions will resume. We know the GPT Store is set to open early next year after recent boardroom drama led to “unexpected delays.”

Therefore, we hope that OpenAI will onboard waitlisted users in time to try out all of the GPTs created by OpenAI and community builders.

What Are GPTs?

GPTs allow users to create one or more personalized ChatGPT experiences based on a specific set of instructions, knowledge files, and actions.

Search marketers with ChatGPT Plus can try GPTs for helpful content assessment and learning SEO.

Two SEO GPTs I’ve created for assessment + learning 👀👇

1. Content Helpfulness and Quality SEO Analyzer: Assess a page content helpfulness, relevance, and quality for your targeted query based on Google’s guidelines vs your competitors and get tips: https://t.co/LsoP2UhF4N pic.twitter.com/O77MHiqwOq

— Aleyda Solis 🕊️ (@aleyda) November 12, 2023

2. The https://t.co/IFmKxxVDpW SEO Teacher: A friendly SEO expert teacher who will help you to learn SEO using reliable https://t.co/sCZ03C7fzq resources: https://t.co/UrMPUYwblH

I hope they’re helpful 🙌🤩

PS: Love how GPT opens up to SO much opportunity 🤯 pic.twitter.com/yqKozcZTDc

— Aleyda Solis 🕊️ (@aleyda) November 12, 2023

There are also GPTs for analyzing Google Search Console data.

oh wow. I think this GPT works.

Export data from GSC comparing keyword rankings before and after an update and upload it to ChatGPT and it will spit out this scatter plot for you.

It’s an easy way to see if most of your keyword declined or improved.

This site was impacted by… pic.twitter.com/wFGSnonqoZ

— Marie Haynes (@Marie_Haynes) November 9, 2023

And GPTs that will let you chat with analytics data from 20 platforms, including Google Ads, GA4, and Facebook.

Google search has indexed hundreds of public GPTs. According to an alleged list of GPT statistics in a GitHub repository, DALL-E, the top GPT from OpenAI, has received 5,620,981 visits since its launch last month. Included in the top 20 GPTs is Canva, with 291,349 views.

Weighing The Benefits Of The Pause

Ideally, this means that developers working on building GPTs and using the API should encounter fewer issues (like being unable to save GPT drafts).

But it could also mean a temporary decrease in new users of GPTs since they are only available to Plus subscribers – including the ones I tested for learning about ranking factors and gaining insights on E-E-A-T from Google’s Search Quality Rater Guidelines.