A person who knows a lot about computers said that the way we talk to computer programs now is not how it will be in the future. He thinks that soon, computer programs can help us more with our work and be like good friends to us. This might change how people make friends and do their jobs. Read from source...

- The author uses the term "laughably bad" to describe ChatGPT and other AI systems, which is a subjective and exaggerated expression that does not reflect the actual state of the art or the potential for improvement. This shows a lack of professionalism and objectivity in reporting on such topics.
- The author quotes Lightcap's opinion without providing any context, evidence, or sources to support his claims about the future of AI models and their capabilities. This makes it difficult to evaluate the credibility and validity of his statements, and also creates a bias towards his perspective.
- The author does not mention any alternative or opposing views on the topic, such as the limitations, challenges, ethical issues, or potential risks of developing more advanced AI models. This gives a one-sided and unbalanced view of the issue, which may mislead or misinform readers who are not familiar with the subject matter.
- The author uses emotional language and imagery to describe the relationship between humans and AI systems, such as "teamwork", "assistive", and "friendship". This implies a positive and optimistic attitude towards the role of AI in society, which may not be shared by everyone, especially those who are concerned about the implications for human autonomy, privacy, dignity, or identity.
- The author ends with a call to action for readers to subscribe to his newsletter, which is irrelevant and inappropriate for the purpose of informing or educating them on the topic. This shows a lack of respect for the audience and their interests, and also an attempt to manipulate them for personal gain.

The article titled `ChatGPT Is Not A 'Long-Term' Engagement Model, OpenAI's Top Executive Says: 'Today's Systems Are Laughably Bad'` discusses the limitations of current chatbot systems and the potential for future advancements in artificial intelligence (AI). The article cites Lightcap, an analyst from Milken Institute, who believes that AI models will evolve beyond simple question-answering systems like ChatGPT and become more assistive and complex.

One of the most significant impacts of this evolution is on the investment landscape. As AI models become more capable and versatile, they can provide valuable insights and recommendations for various types of investments, such as stocks, bonds, real estate, cryptocurrencies, etc. Furthermore, these AI-driven systems will be able to analyze market trends, identify opportunities and risks, and make informed decisions based on data-driven algorithms.

Some potential investment recommendations and risks are:

1. Microsoft (NASDAQ:MSFT) - As the company behind OpenAI, Microsoft has a vested interest in developing and promoting advanced AI models like AI. MSFT is also a major player in other tech sectors, such as cloud computing, gaming, and hardware. Investing in MSFT could provide exposure to the future of AI and its applications across various industries. However, MSFT's stock price may be influenced by market fluctuations, competition from rivals like Google and Amazon, and regulatory uncertainties surrounding AI ethics and privacy issues.

2. CME Group (NASDAQ:CME) - CME Group is the world's largest derivatives exchange, offering futures and options contracts on a wide range of assets, including commodities, currencies, indices, and interest rates. AI models like AI can potentially enhance trading strategies and improve risk management for investors who use CME Group's platforms. Investing in CME could benefit from the growing demand for AI-driven financial services and products. However, CME's stock price may also be affected by market volatility, economic conditions, and regulatory changes affecting the derivatives industry.

3. Penny Stocks - Penny stocks are low-priced securities that trade in the over-the-counter (OTC) market or on smaller exchanges. They often have high risks and volatile prices due to their lack of liquidity, transparency, and financial disclosure. AI models like AI could potentially identify hidden gems among penny stocks by analyzing their fundamentals, news, and social media sentiment