#beyondai

[johnhmcintosh]

BEYOND AI - INTUITION - The Master Guide

NEW BOOK

by John McIntosh

https://www.johnmcintosh.info/.../new-book-beyond-ai...

[emmagrace6798]

A seismic shift in computing is on the horizon (and it’s not AI)

Creating revolutionary pharmaceutical drugs, testing new materials for cars and simulating how market scenarios can affect banks — these are just some of the tasks that could take months or years to develop, even with the most advanced computers.

see more... ⬇️⬇️

[tejkohli25]

Why Some Investors Say AI is Overhyped

Artificial Intelligence (AI) has been hailed as the biggest technological revolution of the 21st century, but not all investors are convinced of its potential. While AI is transforming industries, some experts argue that the hype exceeds reality, warning of overestimated capabilities, market saturation, and limitations in real-world applications. Tej Kohli, a billionaire investor and philanthropist, has been vocal about why AI alone is not enough and why other technologies like Artificial General Intelligence (AGI) and quantum computing deserve equal attention.

For a deeper perspective on why AI alone won’t shape the future, check out this expert analysis.

The Arguments Against AI’s Hype

1. AI is Limited by Data and Human Supervision

Most AI models rely on large datasets and cannot function without human intervention.

AI cannot perform abstract reasoning or adapt beyond its programming.

Unlike AGI, traditional AI lacks autonomous decision-making abilities.

2. AI Market Saturation and Unfulfilled Promises

Many startups market their solutions as AI-powered, but in reality, they rely on simple automation or machine learning models.

Despite the hype, only a fraction of AI innovations have led to real breakthroughs in industries.

Investors are now becoming skeptical of AI startups overpromising and underdelivering results.

3. High Costs and Ethical Challenges

Developing AI systems requires substantial computational power and investment, making it unsustainable for many businesses.

AI raises concerns about privacy, surveillance, and ethical dilemmas, slowing down adoption in regulated industries.

Bias in AI models remains a challenge, leading to flawed decision-making in critical sectors like healthcare and finance.

What’s Next Beyond AI?

1. The Rise of Artificial General Intelligence (AGI)

Unlike AI, AGI aims to match human intelligence, enabling true reasoning and adaptability.

AGI will be able to think, learn, and make decisions without predefined rules.

Investors like Tej Kohli believe that AGI, not AI, will drive the real technological revolution.

2. Quantum Computing’s Role in the Future

Quantum computing has the potential to process information exponentially faster than AI.

Industries such as pharmaceuticals, cybersecurity, and finance will benefit more from quantum-powered AI models.

Combining AI, AGI, and quantum computing will unlock innovations that today’s AI cannot achieve.

3. Investing in a Multi-Tech Future

Instead of solely focusing on AI, investors should diversify into AGI, biotech, and quantum computing.

Tej Kohli advocates for a broader tech investment strategy, emphasizing that relying on AI alone is a short-sighted approach.

The real technological breakthroughs will come from multi-tech integrations rather than standalone AI advancements.

Tej Kohli’s Perspective on AI’s Limitations

Investor and philanthropist Tej Kohli has been critical of AI’s overhyped promises and has directed his investments toward more advanced technologies like AGI and quantum computing. His key insights include:

AI alone will not shape the future—breakthroughs will come from combining AI with AGI and other deep technologies.

Investors need to look beyond AI hype cycles and focus on innovations that offer long-term impact.

The next tech wave will be defined by intelligence that surpasses today’s AI models.

Conclusion

While AI has made significant advancements, its current hype does not match its real-world impact. Many investors now realize that AGI, biotech, and quantum computing may hold greater promise for the future. The key to successful tech investments lies in understanding AI’s limitations and embracing a multi-tech approach.