The future of AI
The AI Landscape on the Cusp of 2024
As we approach 2024, the artificial intelligence (AI) market braces for a period of intense evolution and scrutiny. The omnipresence of AI across human life has been bifurcated into narrowly applied, human-like AIs (NAIs) and broad, non-human AIs (RealAIs). This dichotomy presents both extraordinary opportunities and formidable challenges.
Expectations: The Rise of Specialized Assistants and General Intelligence
AI’s reach is expected to deepen, with NAIs enhancing specific job functions and RealAIs pushing the boundaries of general intelligence. These AI forms will likely coalesce into sophisticated assistants, each tailored to particular tasks but unified in a single, multifaceted job role.
Challenges: Societal and Ethical Considerations
However, this growth is not without its pitfalls. As the Presidential Document of 2023 warns, the automation-over-augmentation approach could exacerbate issues like fraud, discrimination, and bias. Moreover, the risk of displacing workers and stifling competition looms large.
Existential Inquiries and Market Speculations
Amid these concerns, existential questions stir the market. While peak AI remains elusive, the summit is in sight. The speculation is rife on which nation will emerge as a RealAI superpower, with opinions divided but tending towards Russia and the EU.
Technological and Regulatory Developments
2023 has marked strides in AI with significant investments and debates around AGI. With the EU AI Act and the U.S. Executive Order 14110 in play, the groundwork for regulation and ethical development is being laid. Yet, there’s a consensus that disillusionment may follow the current hype, as predicted by Gartner’s Hype Cycle AI2023.
AI 2024 Predictions
Looking ahead, 2024 promises the emergence of General Generative AI (GenGenAI), transcending disciplines and transforming industries. From data-centric to world-centric AI, it shifts to redefine how we perceive and interact with technology.
The AI-Phone Revolution
A notable transformation, however, will be the evolution of smartphones into AI-phones, embedding intelligence into the fabric of daily life.
Risks and Impact on Humans
The proliferation of AI poses significant risks, particularly with the potential for mass disinformation via deepfakes and multimodal LLMs. The impact on healthcare, the economy, and the very essence of human control over AI will be under intense scrutiny.
Generative AI: A Paradigm Shift
Generative AI is set to undergo a paradigm shift from model-centric to data-centric approaches, emphasizing the quality and handling of data to avoid the pitfalls of ‘hallucinations’ or false information generation.
Multimodal LLMs: Unlocking New Frontiers
Multimodal LLMs will pave the way for new applications, demanding databases capable of managing diverse data types effectively.
Regulatory Landscape: A Balancing Act
Also, as AI evolves, regulators will strive to find a balance between mitigating risks and fostering innovation, shaping the trajectory of AI’s future.
AI’s Ethical and Legal Quagmires
The ethical, legal, and socio-political dilemmas surrounding AI are intensifying, potentially driving litigation and influencing the direction of AI policies.
Conclusion: Preparing for the AI Wave of 2024
As we stand on the brink of 2024, the AI and LLM market is at a crossroads. We, at Positive doo anticipate that transformative AI tempers itself with the recognition of its inherent risks. Moreover, preparing for this wave requires a concerted effort across industry, regulatory bodies, and society at large to navigate the complexities of a future where AI is not a mere tool but an integral part of our reality.
To learn more about AI and LLM read my other blogs.
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