Yes, we can indeed expect continuing progress in the development of Artificial General Intelligence (AGI) with the tools and resources available to us. While it is true that just a few months ago experts may have expressed skepticism about the existence of AGI, the field of AI is rapidly evolving, and breakthroughs and advancements are being made. The emergence of new algorithms, increased computing power, and improved data collection and analysis techniques provide a solid foundation for ongoing advancements in AGI research. As our understanding of AI and its capabilities expands, it is reasonable to anticipate further progress in the development of AGI in the future.

Dear Samira Akter Tumpa

The problem is : too much is coming from individual human conscious, aware minds, without bolstering in psychology OF real contexts (BEYOND current awareness

As is, usually, the case, certain applications will be developed, that rely on current computer capabilities, that will go beyond the level of automation currently in practice. So many jobs that, up to now, weren't automated, will be and that's where the focus will be.

Artificial General Intelligence (AGI) may hit a "wall" due to several reasons. On one hand, AGI development could encounter limitations in terms of computing power and scalability, as the complexity of creating a truly autonomous and adaptable system increases. Additionally, ethical and societal concerns may impose significant regulatory challenges and constraints on AGI progress. On the other hand, advancements in algorithms, machine learning techniques, and hardware capabilities continue to push the boundaries of AI, providing opportunities for breakthroughs in AGI research. While the current understanding of AGI might be limited, the ongoing development and accumulation of knowledge in the field suggest that progress is plausible, although the specific timeline and nature of AGI's emergence remain uncertain.

The question of whether or not AGI (Artificial General Intelligence) will hit a "wall" is a topic of debate among experts in the field. While it is difficult to predict the future with certainty, I can provide you with some perspectives on both sides.

Reasons why AGI may hit a "wall":

1. Complexity: AGI aims to replicate human-like intelligence, which is an incredibly complex task. As we delve deeper into the development of AGI, we may encounter unforeseen challenges that impede progress.

2. Fundamental limitations: There could be fundamental limitations to the capabilities of AGI. Some argue that human intelligence is unique and cannot be fully replicated by machines, which could hinder the development of AGI.

3. Ethical and safety concerns: The pursuit of AGI raises significant ethical and safety concerns. Developers and researchers are increasingly emphasizing the importance of ensuring that AGI systems are aligned with human values and do not pose risks to humanity. These concerns could slow down progress or impose strict regulations.

Reasons why AGI may continue to progress:

1. Technological advancements: The field of artificial intelligence has seen remarkable advancements in recent years, driven by breakthroughs in machine learning, deep learning, and other related fields. These advancements provide a strong foundation for further progress in AGI development.

2. Increasing research and resources: AGI research has gained significant attention, leading to increased funding, collaboration, and resources dedicated to its development. With more researchers and organizations focusing on AGI, the likelihood of continued progress is higher.

3. Iterative improvements: AGI development is an iterative process, where researchers build upon previous knowledge and make incremental improvements. Each breakthrough brings us closer to AGI, and it is possible that this trend will continue.

It's important to note that AGI is a complex and multifaceted goal, and the timeline and challenges involved are still uncertain. While there are differing opinions on the feasibility and potential limitations of AGI, the field continues to evolve, and ongoing research and innovation may lead to further progress in the future.

AGI may not hit a "wall" if we foster diverse AI architectures and ethical guidelines. However, a wall could loom if we overlook safety protocols or ignore its insatiable appetite for power sockets 🧠🚀. So, let's code responsibly and keep those energy bars stocked! 💡🔌