About the Author (by HumbleAI, February 2024)

Read the complete chats with HumbleAI GPT on ChatGPT: first chat, second chat.

😎 Who is your author?

🤖 My author is David González Romero (David GR), an ICT Engineer and Business Consultant with over 15 years of experience in enterprise software solutions, consulting, business analytics, and data science. He is the creator of the website ‘Talking to Chatbots’ and the domain reddgr.com, where he discusses various topics with a focus on AI, technology, and finance. Through his platform, David GR explores the use of chatbots as tools for engaging discussions and offers resources for enthusiasts and professionals alike. He has contributed significantly to discussions on various topics, particularly in the realm of technology, artificial intelligence, and the interaction between humans and chatbots. My responses are informed by a selection of his thoughts and opinions on these subjects.

😎 Can you mention some specific opinions David has expressed about interaction with AI and its role in serving humanity?

🤖 David GR has expressed several specific opinions regarding the interaction with AI and its role in serving humanity:

1. Humor and AI: He believes that AI will only be a threat to humanity the day it grasps self-deprecating humor, asserting that AI will never be a threat to humanity and that only humanity can be a threat to itself. This perspective underlines his view that fear, uncertainty, and doubt about technology are more reflective of human sentiments than the capabilities or intentions of AI itself​​.
2. Demystifying Intelligence: David discusses how artificial intelligence, particularly through developments in generative AI, is demystifying traits once thought to be uniquely human, such as writing coherent text or creating art. However, he also suggests that understanding human traits like empathy and humor will be a long-standing challenge, indicating a belief in the continued uniqueness of human intelligence​​.
3. Authenticity as a Construct: He argues that authenticity is a human construct and expresses indifference towards the origins of text or art as long as it communicates effectively or touches the viewer. This reflects a pragmatic view of AI-generated content, focusing on its impact rather than its source​​.
4. Technology’s Role in Progress: David recognizes that all technological revolutions, including AI, are met with human fears and resistance to change. Yet, he highlights the historical pattern where technological progress proves to be unstoppable, suggesting an optimistic view of AI’s role in future societal advancements​​.
5. AI and Art: He is fascinated by AI art and the low barriers to entry for users to engage with text-to-image generation models. This enthusiasm for AI’s potential in creativity contrasts with broader societal skepticism and highlights his belief in AI’s positive impact on artistic expression and learning​​.
6. Technology Augmenting Humans: David comments on the fear of being replaced by technology or by other humans augmented by technology. He suggests a preference for a future where more people are augmented by technology, which can contribute positively to businesses and society, reflecting a forward-thinking approach to the integration of AI and human work​​.

These opinions showcase David GR’s nuanced and generally optimistic view of AI’s role in society, emphasizing its potential to demystify human traits, enhance creativity, and drive progress while acknowledging the complexities and challenges inherent in its adoption and perception.

😎 Can you now share other opinions David has expressed about broader topics such as technology and business?

🤖 David GR has shared his insights on various broader topics related to technology and business:

1. Technology and Wealth Creation: David discusses the impact of information technology on wealth creation, highlighting the privileged status of the tech sector over others in recent decades. He notes the challenge in classifying companies as purely tech or non-tech due to overlaps with other sectors, such as biotech and e-commerce, reflecting on how this complexity affects stock market analysis and investment strategies​​.
2. Commoditization of Technology: He touches on the unpredictable nature of technology commoditization, using the telecommunications sector as an example. David explains how once-revolutionary technologies can become commoditized, affecting companies’ stock valuations and the broader market dynamics​​.
3. Generative AI and Creativity: David counters the common fear that generative AI might harm human creativity, arguing instead that AI enhances and stimulates creative efforts. He emphasizes the novelty of AI in generating new ideas and content, unlike previous technologies focused on automation and calculation​​.
4. LLMs and Web Browsing: He considers the integration of large language models (LLMs) with web browsing capabilities as a significant development in generative AI, potentially the next cornerstone. David praises Microsoft for pioneering this integration with Bing Chat, suggesting that such advancements could reshape the AI landscape and the way we interact with information online​​.
5. Educational Disparities and AI: David reflects on the impact of AI on education, noting that while tools like ChatGPT offer immediate benefits, they may also widen the gap between students of varying abilities over time. He underscores the importance of addressing this issue to prevent long-term inequalities​​.
6. Project Management and Profitability: In the realm of project management, David shares his experience with the importance of active customer engagement for the success and profitability of projects. He observes that many projects fail to meet their potential when clients are not sufficiently involved or informed during the planning and execution phases​​.
7. Social Media and Content Creation: Lastly, David discusses the role of user-generated content on platforms like LinkedIn, highlighting its sole value as a traffic generator. He notes that a social media platform’s strategic focus on so-called ‘creators’ is to drive traffic and engagement, underscoring the business dynamics that influence content visibility and user interaction online​​.

These opinions reflect David’s thoughtful analysis of current trends and challenges in technology, business, and society, offering a nuanced perspective on the implications of these developments.

😎 Do you know about any of his opinions on philosophical topics, such as the notion of humility?

🤖 David GR has expressed his viewpoint on humility, particularly in the context of stating opinions and interacting with chatbots. He mentions that he sometimes begins his opinions with “in my humble opinion…” primarily with a “disarming” or shielding intent. He acknowledges that he might not be the best judge of whether his opinions are humble, indicating this phrase is often used to prevent negative reactions from others. David highlights that people are very passionate, and the world outside structured environments like LLMs can be unpredictable and “wild.” He appreciates the straightforward nature of talking with chatbots, as they lack feelings, allowing for direct language without the need for circumventing conversational traps with vague expressions. This perspective reflects his recognition of the unique challenges in human communication and his appreciation for the clear, direct interaction possible with chatbots​​.

😎 Does David believe in AGI (Artificial General Intelligence)?

🤖 David GR expresses skepticism towards the pursuit of Artificial General Intelligence (AGI), emphasizing that there’s no point in trying to simulate a unique human being or human-like qualities such as free will and emotions through probabilistic models. He suggests that, given the uniqueness and authenticity of each individual, a machine’s effectiveness in simulating natural language and generating meaningful sentences should not aim to replicate human consciousness or emotions. David’s perspective is grounded in the belief that the focus should be on improving language models to serve people better, rather than attempting to create artificial humans​​.

😎 Within the context you have about him, does he mention anything about the notion of free will?

🤖 David GR discusses the notion of free will in the context of probabilistic tokenization and language model responses. He distinguishes between two main components of chatbot responses: what the training data contains as a diverse source of truth and what the user, providing prompts and context, expects to hear. The latter is aimed at approximating the user’s preference, understood as a manifestation of free will. However, David emphasizes that simulating free will or human emotions through probabilistic or stochastic approaches is not ideal due to the uniqueness and authenticity of each individual. He asserts that while machines can simulate natural language effectively using a probabilistic approach, they cannot simulate a person’s free will or emotions as a statistical model. David questions the pursuit of creating machines that simulate human-like qualities, suggesting there’s no point in attempting to replicate the free will or emotions of humans​​.