Technology
The Smart Home of Tomorrow
Today, people want everything to be “smart”.
Smart phones, smart appliances, smart autos, smart cities, smart grids, and even smart trash cans are either already in our lives today, or will be in our near future.
In some cases the “smart” moniker may be applied loosely to new products, but the trend is real and overarching. It all stems from spreading adoption of the internet of things. With smart technology, many objects that were once quite simple are now automated, controlled by a phone, or optimized based on your personal preferences – and over time, this is going to change many aspects of our personal and professional lives.
One “smart” trend that is on a trajectory to impact almost everyone is one that concerns the most basic rung of our hierarchy of needs: our shelter.
Introducing The Smart Home of Tomorrow
Today’s infographic from Vibrant Doors shows how the new smart home will change everyday living for most people. It also shows consumer preferences, expected demand, and the obstacles to widespread adoption of this new “smart” technology.
The biggest obstacle for adoption of smart home technology is an interesting one: choice.
It’s expected that the smart home market will be worth $122 billion by 2022, and every company wants a piece of that pie. As a result, there is a multitude of brands trying to solve the smart home equation in order to break through as market leaders for this technology. The names in this battle range from giant tech companies like Apple, Amazon, Samsung, and Alphabet, to upstart competitors focusing on small niches within the home.
Consumers, for the most part, are willing to wait until the timing is right. Currently there is intense competition in the early stages of the smart home market and consumers are willing to watch brands duke it out. After all, adopting smart home devices and infrastructure is not cheap, and consumers only want to buy brands that are going to stand the test of time.
Technology
Infographic: Generative AI Explained by AI
What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.

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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