Generate AI in 2024

The tech trend of 2023 that went viral was generative AI, which attracted the interest of both general audiences and tech enthusiasts due to its capacity to produce material that appears human.

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With digital behemoths like Microsoft, Google, and Meta investing almost endless sums of money in the field, 2024 should bring forth even more revolutionary breakthroughs.

The democratization of access to AI’s revolutionary potential will be greatly aided by the tremendous capability of generative AI. And I think that in order to really think about how it will affect our lives, we all need to be informed of what’s going to happen.

So here’s my summary of the main themes I anticipate, which include both societal challenges and new technical advancements.

Larger and Stronger Models

The reason generative AI applications are so amazing is that large datasets are used for their training. The ChatGPT engine, GPT-4, is believed to have been trained on more than one trillion parameters. Many large language models (LLMs) are trained using hundreds of billions of parameters, such as DeepMind’s Gopher and Google’s PaLM2. There are increasing rumors that GPT-5 may be on the horizon, thus we should anticipate a significant increase in size. While there are other approaches to increase an LLM’s intelligence, expanding the dataset has proven to be the most effective method thus far. I anticipate that new generative AI models will be developed in this way as a result.

Interference with Elections

Many nations, like the United States, the United Kingdom, and India, will have elections for leadership in 2024. I have no doubt that generative AI will be used to disseminate false information and sabotage the political system. This will probably happen as a result of the employment of more realistic deepfakes in conjunction with the widespread production and distribution of propaganda through the usage of platforms like ChatGPT. Naturally, it will also be used by political parties and politicians to create customized emails and campaign messages.

Design Generative

Another area where generative AI adoption is likely to occur quickly is in the creation of tangible goods and services. An new class of technologies known as “generative design” gives designers the ability to simply input criteria and accessible resources to receive blueprints and recipes. In order to create more reliable, efficient, or sustainable product designs, generative AI capability is being integrated into design platforms like Autodesk. This enables product designers to quickly create an unlimited number of digital twin prototypes and test them simultaneously

Generative Video

Video is the preferred media format among the younger generations, so it comes as no surprise that AI toolmakers have been quick to come up with tools that tap into this trend. Creation of video content has traditionally been expensive, mainly due to the need to hire a trained human professional to create, capture or edit footage. With generative video tools, anyone will be able to produce professional-looking video content for a fraction of the price in 2024.

Generative Audio And Speech

As with video and design tools, 2024 will be the year when AI-generated audio and speech become as ubiquitous as AI-generated words and pictures have become in 2023. I expect to see the subtly robotic qualities that are still usually detectable in all but the most sophisticated AI-generated speech start to vanish as tools become better at simulating the tones and inflections that make up human speech.

Multi-Modal Models

Most generative AI tools, algorithms and LLMs specialize in simulating one “mode” of expression – language, visuals, or sounds, for example. The trend, however, is towards “multi-modal” generative AI. The coming version of OpenAI’s ChatGPT will be capable of understanding and interpreting images, as well as taking voice commands and talking back to us. Meta has also demonstrated a model that can pull together images, text, audio, depth, and inertial data. This is something that will become more common over the next year, and it should soon be normal to be able to talk to an AI about a picture or a video in the same way we can talk to it about text today.

Prompt Engineers In High Demand

Prompt engineers “program” generative AI systems by describing what they want them to do in the terms most likely to lead to optimal results. It’s been described as “the hottest new job in tech” in 2023, and demand for it is likely to grow in 2024. The job has also been called “AI whispering” as it’s about being able to coax the best out of systems that can occasionally seem complex, incomprehensible and intimidating.

Autonomous Generative AI

Autonomous Agents is a term being used to describe a class of generative AI applications that effectively operate themselves by continuously generating and responding to prompts. By doing this, they are able to carry out more sophisticated operations than chatbot-style generative agents, which simply respond to a prompt and then wait for the user to tell them what to do next. One well-known example of an autonomous agent that emerged during 2023 is AutoGPT. In 2024, I expect to see further progress in this field as AI engineers continue the quest for “generalized” AI that can turn it’s hand to any job we set it.

Generative AI-Augmented Apps And Services

By 2024, 40 percent of enterprise applications will come with conversational AI as an embedded feature, according to AIM Research. We see it happening already with developers like Microsoft and Adobe practically falling over themselves to build chatbots and natural language interfaces into their platforms. Popular social messaging app Snapchat adds a generative AI bot to its users’ contact lists that they can use to get answers to questions or just treat as a virtual friend. In 2024, anyone who sells apps is going to be adding chat interfaces to improve engagement and customer experience.

Generative AI in Schools And Education

During the last century, traditionalists railed against the introduction of electronic calculators in classrooms, predicting students would become over-reliant and unable to do basic calculations without them. What actually happened was students became capable of doing far more advanced calculations at a younger age. Calculators then became so universal that the question of whether we could cope without them became moot. We will see similar debates around the use of generative AI by students during 2024. Teachers and lecturers, meanwhile, will grow used to using it to generate notes, reports, lesson plans and course summaries.

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