Innovation and Challenges in the AI Boom

The focus of the tech industry has quickly shifted to AI and robotics, overshadowing the current innovation cycle in cryptocurrency. The narrative around stablecoins and tokenization in cryptocurrency has stalled, with exchanges and meme-driven token issuances dominating the competitive landscape. Robinhood is bridging fintech and tokenized assets, becoming a strong competitor.

The new releases in the AI and robotics field are exciting, while cryptocurrencies are undergoing a reconstruction process. Currently, the narrative in the cryptocurrency space mainly focuses on stablecoins and tokenization, which essentially involves putting traditional assets on the blockchain. Many institutions are launching their own stablecoins, but from an innovation perspective, there doesn't seem to be anything truly new.

The competition between exchanges is becoming increasingly fierce. A certain trading platform's response to Hyperliquid's event has been interpreted as a desire for its failure. The platform has also listed tokens from a certain DEX, which is seen as a response to its competitors. Currently, major platforms are vying for market share against multiple rivals.

Robinhood held a press conference, emphasizing their commitment to "tokenizing everything." They aim to tokenize real estate, allowing users to trade exposure to real estate assets. Robinhood also launched a cash delivery service, possibly to attract more users to deposit funds onto the platform.

A certain stablecoin issuer paid half of its reserve income to a particular trading platform. This reveals a clear power dynamic: the trading platform possesses user relationships and is the main distribution channel for the stablecoin. The stablecoin issuer seems to be fighting a losing battle; although there is currently a regulatory moat, traditional financial competitors are emerging.

The development of AI assistants is advancing rapidly. Tools like Google's Gemini, Mistral, and Perplexity each have their own features. The realism of the voice model Sesame AI is impressive. Google is re-emerging in the AI field, leveraging its advantages in real-time data extraction to gain a favorable position. OpenAI has raised funds again, with a valuation of $30 billion. All tech giants, except Apple, are fully investing in the AI field.

AI is changing the landscape of programming and entrepreneurship. Non-technical founders can now leverage AI tools to quickly develop front-ends, directly turning ideas into product prototypes. This significantly shortens the innovation cycle and accelerates the entrepreneurial process. In the future, we may see a surge of "micro-unicorn" companies solving niche problems.

The younger generation is skipping traditional education and diving directly into entrepreneurship. Some teenage entrepreneurs have achieved remarkable success, despite being rejected by top universities. New types of schools, such as Alpha School, are using AI tutors, allowing students to achieve excellent results in a short amount of time and get exposed to entrepreneurial practices earlier.

The application prospects of AI in the healthcare field are vast. AI health assistants can integrate data from wearable devices to provide personalized health advice. This may replace some of the work of primary care physicians. Similarly, AI is also impacting entry-level positions in industries such as law and financial analysis.

In the AI era, both generalists and specialists have opportunities. The key is to maintain the ability to learn and adapt. For the next generation, it is crucial to cultivate an active and curiosity-driven learning approach. Parents can encourage children to learn and explore actively by setting appropriate incentive mechanisms.