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Generative AI meets AI regulations head-on, while societal and political issues heat up. What’s the future hold? Dive into Tooploox AI Trends 2024 for answers!
Remember Captain Kirk and his casual conversations with the Starship Enterprise computer? Today, millions have similar experiences with pocket-sized devices.
2023 witnessed the ChatGPT revolution, sparking a wave of interest in AI trends. Staying ahead of the curve is crucial, so let’s explore what “trend” truly means.
In a nutshell, a trend encompasses a broader phenomenon, not just a single technology. Think of it as an umbrella grouping related events. ChatGPT might not be a trend, but generative AI certainly is.
Were We Right About 2023’s AI Trends?
Last year, Tooploox predicted these key trends:
- Generative AI
- Trustworthy AI and AI ethics
- AI and society
- Workforce augmentation
- Step-by-step improvements in existing techniques
Looking back, these predictions held true. Generative AI gained momentum, the EU adopted the AI Act, and larger, more powerful neural networks were built.
This year’s list builds upon those foundations, but also includes new twists:
- Generative AI
- The AI legal situation
- AI’s impact on society
- Hyperautomation and AI integration everywhere
- Environmental impact and chip shortages
Ready to explore these trends in detail? Let’s dive in!
Recent Trends in Artificial Intelligence for 2024
Navigating the ever-changing AI and ML landscape can be overwhelming. Picking the essential elements from a constant stream of information can feel like searching for gems in a noisy marketplace.
But fear not! The Tooploox research team has done the heavy lifting for you.
AI Trend 1: Generative AI
Undoubtedly dominant in 2023 and 2024, generative AI holds the potential to be the transformative tech of the decade. It encompasses techniques and technologies that create new data from existing data.
Large Language Models (LLMs) are prime examples, generating text from text or code from prompts (short instructions). Want to learn more about prompts? Check out our guide: “50+ Awesome Prompts for ChatGPT that Every Company Should Use.”
Here are some key aspects of generative AI to watch:
Everyone Becomes a Creator: The 10,000-hour rule for mastering a skill might be challenged. Generative AI tools democratize creation, enabling anyone to produce outputs comparable to professional writers, designers, or musicians.
A Billion Images in Three Months: Adobe’s Firefly tool generated over a billion images in just three months after its launch, showcasing the accessibility and popularity of these tools.
ChatGPT Books and Beyond: Self-publishing platforms are flooded with ChatGPT-generated books, with warnings against some, like mushroom-picking guides. Parents are even creating entire books with AI-generated text and images, blurring the lines between human and AI creation.
GPT Market and Custom Chatbots: Users can now publish and sell their own GPTs trained for specific purposes, like email writing or advice. This market is expected to grow, along with chatbots designed to help with prompting and writing.
Video Generation: Tech giants are entering the text-to-video race, with Meta’s Emu and Google’s VideoPoet. Transforming static images or prompts into films is the next battleground, offering new avenues for self-expression. Tooploox Research is actively contributing to this field with projects like “Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation.”
Hallucinations: “Hallucination” was Dictionary.com’s Word of the Year for a reason. LLMs’ tendency to fabricate plausible but untrue facts is a major concern in 2024, limiting their potential. Remember Pak’n’Save’s chatbot suggesting chlorine gas production?
Open-Source LLMs Gain Traction: Security risks and lack of control over data in market-leading LLMs will push companies towards open-source models. Running models in-house, training them with their own data, and keeping everything secure will likely become more attractive.
AI Trend 2: The AI Legal Situation
Changes and challenges in the legal landscape will undoubtedly shape AI in 2024. Finding common ground between content creators and AI companies over training data usage is a growing issue, with both government and private actors proposing solutions.
- Content Creator Deals and Lawsuits: Axel Springer struck a deal with OpenAI for ChatGPT to access their content, while The New York Times sued