Many companies still lack an understanding of the advancements in AI technology, often repeating outdated beliefs about its limitations, which can hinder innovation.

Many startups are still unaware of the transformative potential of AI, with only a few exploring its capabilities deeply within their organizations.

Many companies, especially older ones, are not taking AI advancements seriously, which may be due to a generational gap in understanding the technology's rapid evolution.

The introduction of AI could exacerbate existing inequalities, as those with ill intent may benefit more from AI advancements than those who are pro-social and wealth-creating.

The economic gains from AI advancements may not translate into purchasing power for the average person, which could lead to social unrest.

The expectation versus reality of AI adoption is often skewed; while expectations are high, the actual capabilities of current models may not meet those expectations, leading to a rapid adjustment in perception as models improve.

New AI models are unlocking startup opportunities in fields like engineering, where they can significantly improve productivity and innovation.

The current tech landscape is ripe for startups because many established companies are unaware of the rapid advancements in AI.

Training AI models is an exciting field with much potential for progress, and it's essential to involve more people in shaping AI's future.