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Infographic: Generative AI Explained by AI

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infographic explaining generative ai created using generative ai tools

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Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

  • Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
  • Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
  • Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

  • Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
  • Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
  • Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

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How Long it Took for Popular Apps to Reach 100 Million Users

Threads reached 100 million users in just five days. Here is a timeline of how long other popular platforms took to reach the milestone.

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A line chart showing the time it took popular apps to register 100 million users on their platforms.

How Long it Took for Popular Apps to Reach 100 Million Users

Of Twitter’s many new rivals, Meta’s newest social media platform Threads has established its presence with a bang.

According to Meta founder Mark Zuckerberg, Threads took only 5 days to reach the key threshold of 100 million users. It achieved this milestone through organic demand—and no paid promotions required—smashing all previous records.

But how long have other popular platforms—TikTok, Instagram, and YouTube to name a few—taken to build their user base? Pulling data from PwC and Yahoo, we rank how long it took popular platforms to get to 100 million users.

Ranking Every Apps Journey to 100 Million Users

In first place, Threads has a significant lead over the rest of the pack with its five day achievement, and may have built a significant moat in holding on to this record.

Firstly, its launch coincided with Twitter’s viewing limit decision, and rode the wave of dissatisfaction aimed at Twitter’s current owner, Elon Musk.

Secondly, new users on Threads need an Instagram account to register, thus eliminating sign-up barriers and leveraging Instagram’s 1.2 billion-strong user base.

Here’s the journey length of popular platforms to attaining 100 million users:

RankPlatformLaunchTime to 100M Users
1Threads20235 days
2ChatGPT20222 months
3TikTok20179 months
4WeChat20111 year, 2 months
5Instagram20102 years, 6 months
6Myspace20033 years
7WhatsApp20093 years, 6 months
8Snapchat20113 years, 8 months
9YouTube20054 years, 1 month
10Facebook20044 years, 6 months
11Spotify20064 years, 7 months
12Telegram20135 years, 1 month
13Twitter20065 years, 5 months
14Uber20115 years, 10 months
15Pinterest20105 years, 11 months
16Google Translate20066 years, 6 months
17World Wide Web19917 years
18LinkedIn20037 years, 11 months

Ranked second, Open AI’s ChatGPT launched in November 2022 and hit 100 million users by the start of the new year. ChatGPT introduced the incredible capabilities of large language models to the masses, prompting a rush of sign-ups, and reviving old conversations around the potential consequences of AI.

Coming in at third place, ByteDance’s TikTok took just 9 months to reach 100 million users after its launch in 2017. Like Threads, TikTok benefited from another app, accessing popular lip syncing app Musical.ly’s existing user base after it was acquired and folded into TikTok.

WeChat and Instagram round out the top-five, also with interesting advantages. WeChat, an instant messaging platform similar to WhatsApp, benefited from its unique access to China’s notoriously closed internet market of 500 million users in 2012.

Meanwhile, Meta acquired Instagram when the photo-sharing platform had 30 million users, and more than tripled that number past 100 million in just one year.

And while Facebook ranks solidly middle-of-the-pack for fastest to 100 million users, it remains the platform with the most monthly active accounts, at nearly 3 billion. In fact, Meta’s lessons learned from Facebook have been well-leveraged, and the company owns 4 of the fastest apps to register 100 million users.

So What Does Threads Success Mean for Twitter?

Coming back to Threads’ incredible feat, however, it’s still early days whether an en-masse switch from Twitter is on the cards for Meta’s newest platform.

For one, Threads has faced significant criticism due to its intensive data collection practices and lack of accessibility features. It also is missing some key features from its rival, including trending topics, hashtags, and direct messages.

Meanwhile Elon Musk has been less than pleased with Threads’ success, deeming it a copy of Twitter and even threatening legal action.

 

So where does this leave the increasingly-crowded social media space? The next decade will set the stage for either more platform consolidation, or even further audience fragmentation.

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