Thinking Outside the Box – 7 Gen AI predictions for 2024

In 2023, headlines were dominated by the pervasive influence of generative AI, and the trend seems poised to continue into 2024. Some individuals even playfully suggested adding “.ai” to their names as a humorous nod to the AI-driven era. Across diverse sectors, professionals eagerly associated AI with their respective fields, crafting predictions tailored to the unique characteristics of each industry.

Interestingly, there’s a collective hope that the momentum generated by AI in the previous year will not wane as rapidly as the recent cryptocurrency hype. The latter surged like a tsunami, captivating attention briefly before receding, leaving uncertainty about its lasting impact. In contrast, the anticipation for AI in 2024 remains high, with expectations that it will persistently shape and redefine various facets of our world.

I am excited to share 7 forecasts for 2024, acknowledging that AI is
positioned to play a central role in driving these advancements:

1. GlobalElectionsTampered.ai

   In 2024, approximately half of the world is scheduled to undergo elections, a pivotal moment where the influence of Generation AI technologies becomes pronounced. This era of AI introduces the potential for substantial impact through the effortless generation of fake news, election tampering, and the execution of sophisticated cyber and phishing attacks.

2. OpenSource.ai

   Open source LLMs and Generation AI technologies are expected to reach a level of sophistication suitable for a wide range of general applications, particularly in the B2B space. Platforms like Llama2 and Mistral are anticipated to showcase the capabilities of these open-source models, highlighting their adaptability and versatility in various industry contexts.

3. OpenClosedGap.ai

   Open source LLMs and Generation AI technologies are expected to reach a level of sophistication suitable for a wide range of general applications, particularly in the B2B space. Platforms like Llama2 and Mistral are anticipated to showcase the capabilities of these open-source models, highlighting their adaptability and versatility in various industry contexts.

4. PortableLLM.ai

   The emergence of device-based LLMs represents a significant stride in personalized AI usage from companies like Apple for iPhones. These models are designed to operate on local devices independently, eliminating the need for a constant internet connection. This shift towards localized AI solutions enhances privacy, reduces latency, and caters to individualized use cases, marking a notable evolution in AI deployment strategies.

5. MultimodalTakesOff.ai

   Multimodal LLMs are poised to take center stage, especially in the domains of entertainment and commerce, as they extend their capabilities beyond text to include images and, importantly, video generation. This expansion into multimodal functionality opens up new creative possibilities, transforming how content is generated and consumed in various industries.

6. UbiquitousMultilingual.ai

   Language models with a specific focus on Indic languages are expected to gain prominence in 2024, with similar trends in other Asian and European countries. The recent announcements of the development of multilingual LLMs tailored to regional linguistic nuances demonstrate a commitment to inclusivity and address the diverse linguistic landscape of global user bases.

7. NoMoreLLMKeyword.ai

   As the year unfolds, the hype around the term “LLM” is projected to subside. This shift is driven by the increasing ubiquity of the technology in various tech products and the introduction of newer AI-based technologies that capture the spotlight. The maturation of AI applications will likely render the term “LLM” less common, reflecting the integration of these models into everyday tech solutions.

In conclusion, the transformative era of artificial intelligence in 2024 is set to redefine our interactions with technology on personal and professional fronts, promising a more personalized, efficient, and connected existence. As we eagerly anticipate these changes and more “.ai” businesses, it’s imperative to recognize the growing importance of ethical considerations and privacy safeguards. Navigating this evolving landscape requires a collective commitment to responsible innovation.

These forecasts are shaped by my personal opinions and observations, and I am excited to hear your thoughts on these predictions. Feel free to reach out and share your views, as we collectively shape a future where Gen AI seamlessly integrates into our lives.

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