In 2024, the AI landscape is poised for significant developments and transformations.
Predictions span various areas, and they begin with the highly anticipated release of LLaMA 3 in the first half of the year. This release is expected to narrow the gap between open-source and proprietary models like GPT-4, demonstrating the rapid advancement in open-source language models. Additionally, LLaMA 2’s integration into consumer products highlights its readiness for practical applications.
Google’s Gemini Ultra AI model is predicted to debut in 2024, with claims that it could rival GPT-4 in capabilities. However, controversy surrounds its video demonstrations, raising questions about authenticity. The competition in closed-source proprietary models intensifies, with Gemini Ultra offering Nano, Pro, and Ultra versions for different use cases. These models may require payment, disrupting the economics of bot networks and enhancing security.
The robot industry is also expected to advance in 2024, with Boston Dynamics and Tesla leading the way. Tesla’s Optimus humanoid robot prototype is gaining momentum, and experts anticipate significant progress and announcements in Q1, potentially leading to the production of dozens or even hundreds of Optimus robots by year-end. Tesla’s foray into robotics could redefine the company’s focus.
Open-source AI is set to thrive in 2024, with open-source language models catching up to closed-source models like GPT-4. There will be a growing number of open-source AI models, including industry-specific ones. Apple’s ML Ferret represents a shift toward open-source AI, emphasizing on-device AI powered by Apple’s silicon chips. However, challenges related to data protection may emerge.
AI agents are expected to improve significantly in 2024, both in terms of capabilities and real-world applications. These agents may exhibit human-like behaviors and even emergent behavior, raising questions about consciousness. Predictive AI agents will find applications in various domains. Collaboration tools for AI teams are also anticipated to enhance teamwork and performance.
Regarding the quest for Artificial General Intelligence (AGI), it’s unlikely to be achieved in 2024. Defining AGI remains challenging, and organizations and structures already exhibit intelligence surpassing individuals, as seen in collective decision-making and the stock market.
Synthetic data generation is expected to rise in 2024 to address the growing value of data and its protection. Synthetic data can help bridge the gap when companies are reluctant to share their valuable datasets. This technology is seen as a foundational element for achieving AGI.
Multimodal AI is predicted to become the standard in 2024, enabling AI models to process diverse types of data beyond text-only, enhancing their versatility and applications.
However, in terms of security, there’s a concerning trend. Bots are becoming increasingly difficult to detect, thanks to the accumulation of synthetic data. Bots designed for scams and spam are expected to improve, and they already outperform humans in solving CAPTCHA tests. This poses challenges for platforms, especially in the context of the 2024 election cycle. Elon Musk’s solution is to charge users a small fee, disrupting the economics of bot networks and leveraging robust identity verification systems.
Finally, GPT 4.5 is anticipated to drop in 2024, bringing significant improvements in performance, speed, and cost-efficiency. While it won’t mark a major leap to GPT 5, it represents a noteworthy evolution. Rumors of its deployment were debunked, indicating that it’s not yet in use.
These predictions are just a selection from a significant more changes and significant steps forward which are possible and probable for year 2024, which is expected to continue even on a higher degree.
(Source: Matthew Berman Youtube Chanel – A.I. Breakthroughs in 2024 That Will CHANGE EVERYTHING)