Tech

AI will go mainstream in 2023

Very expected: One of the many challenges in analyzing and predicting trends in the tech industry is that some topics get so much coverage long before they’re ready that by the time they start to really impact the market, they already sound old. news. Artificial intelligence (AI) is a great example of this phenomenon.

The tech industry and even the general press have been discussing the concept and early implementations of AI for a long time, but real examples have been relatively hard to come by.

To be clear, AI-based features have been used in things like computational photography on smartphones for several years, as well as high-performance cloud-based data analytics applications. However, many of them are practically invisible to most people.

This year, however, both consumers and businesses should expect to see many egregious examples of the power of AI in their day-to-day operations. Launch and huge success of Dall-E imaging tool (and similar) and ChatGPT An offline chatbot late last year began hinting at where things were going.

I expect to see significantly more high-profile examples like these in 2023. In short, although it has been predicted many times, I expect 2023 to be the year AI finally becomes mainstream.

What’s interesting about both Dall-E and ChatGPT is that they are examples of what is called generative AI – or the ability to create original content, information (or even program code!) from very limited input.

Also see: How to run Stable Diffusion on your PC to create AI images.

With Dall-E, for example, you can ask it to generate images in various styles from a simple text description of the things you want to include (for example, draw a red Porsche driving through Northern California wine country during a pointillist blizzard).

In the case of ChatGPT, the possibilities are even more extensive. You can, for example, ask him to create original lyrics, or a bedtime story, or even a college essay (a huge new problem for educators concerned about cheating) on ​​any topic and in any style you ask.

Imagine, for example, being able to immediately create an article describing how OLED TVs work in the stream-of-consciousness style of author James Joyce, which includes characters from the Harry Potter series of books.

No generative AI tool is perfect, and many of their most glaring shortcomings are starting to be documented. However, they are both good enough – amazing in many ways, in fact – and can give a much clearer picture of what’s possible with AI to just about anyone. Also, as with most technologies, new and improved versions are already in development, with ChatGPT4 and extended versions of other tools expected this year.

The other interesting thing about these types of tools is that their applications extend far beyond their basic functions. It turns out that one of the most interesting applications for a tool like ChatGPT, for example, could be a complete rethinking of search engines.

To tap into its incredible creative power, the software algorithm that runs ChatGPT has been processed most of the textual information available on the Internet and then trained to create links to all of that information. Modern search engines are good at finding information related to a query, but they are not good at putting it together in a way that is understandable to ordinary people. So, instead of checking different links individually when searching for a topic, imagine being presented with a summary of the most relevant information. This type of AI based search takes it to a whole other level.

Recognizing this, Microsoft is rumored to be porting some ChatGPT features to an updated version of the Bing search engine as early as March. (Microsoft is a significant financial contributor to OpenAI, the company behind ChatGPT and Dall-E.)

Additionally, alarming flags have apparently been raised at Google about the potential impact of these types of tools, so many expect a combination of the company’s own tools. LaMDA, MOTHER and Palm generative language models that will be included in a future version of Google Search.

However, the importance of AI applications, which are becoming commonplace and affecting a large part of the population, goes far beyond the abilities themselves. As with many technologies that are essentially hidden from view before being widely understood and appreciated, these core AI capabilities will open people’s eyes to the many other types of AI-based features that currently exist (and continue to improve). ).

Everything from the ability to automatically generate photorealistic background images from simple sketches, as Nvidia does with its Canvas tool, to the ability to improve 5G signal reception in smartphones using modems that “learn” to adapt to signals in a given region. As Qualcomm is doing with its X70 chips, AI-powered “background” tasks will begin to gain more recognition and acceptance this year.

As with many technologies that are essentially hidden from view before being widely understood and appreciated, these core AI capabilities will open people’s eyes to the many other types of AI-based features that currently exist (and continue to improve). ).

In addition, the need for devices that can help accelerate AI-based software functions will be recognized as important.

For example, at CES 2023, Intel and AMD showcased new hardware acceleration capabilities for AI-based software in their latest processors. Intel is bringing technologies from its Movidius line of AI accelerators to select versions of its 13th Gen Intel Core processors, and AMD has introduced an all-new AI architecture for some of its recently announced Ryzen 7000 chips.

Called Ryzen AI and introduced in the new Ryzen 7040 line, this technology includes a dedicated engine designed to accelerate AI applications. The efforts of both Intel and AMD are similar to the early days of integrating the GPU graphics engine into their processors. Because of this, expect a lot of new developments on this front in the PC world.

The bottom line is that the side effects of major AI tools like Dall-E and ChatGPT are likely to be just as important, and perhaps even more far-reaching, than they are. As a result, expect to see much more focus on AI-related opportunities across products, software, and services of all types over the course of the new year.

Bob O’Donnell – Founder and Principal Analyst Techanalysis Research LLC technology consulting firm that provides strategic consulting and market research services to the technology industry and the financial professional community. You can follow him on Twitter @bobodtech.




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