Until major companies achieve artificial general intelligence (AGI), their primary focus will be on that goal, leaving a significant opportunity for startups to improve people's lives and businesses with existing tools.

To succeed in AI, startups should focus on vertical-specific and function-specific solutions that address complex problems requiring human involvement.

Investing in a startup that claims to have discovered the secret to artificial general intelligence (AGI) is a mistake; progress will come from collective research, not a single entity.

Achieving engineering AGI requires not only understanding the design process but also the ability to generalize across different domains without needing specific training for each one.

Companies like OpenAI and Anthropic are focused on building Artificial General Intelligence (AGI), not just improving existing AI applications like customer relationship management or search engines.

Startups should begin with the best AI model available to ensure success, as leveraging cutting-edge technology is essential for gaining a competitive edge in the market.

The creation of self-improving systems could accelerate the development of AGI, as seen in previous AI advancements where models learned and improved rapidly in specific domains.

The development of AI models should include layers of specialization for industries and specific companies to meet unique needs.

We're seeing incredible progress in AI, with existing techniques being pushed to their limits and new inventions being developed continuously. However, achieving Artificial General Intelligence (AGI) may require one or two more breakthroughs.