Generative Artificial Intelligence book by Dr. Jerry Kaplan

I admit. I have been fascinated by the history of technological advancement in Silicon Valley and have amassed many business books about Silicon Valley throughout my career. Earlier in my career, I was known to bring 500+ page programming manuals to my vacation trips (sorry Rita Salonen). When my wife enjoyed the pool and sunbathing, I enjoyed books and learning. Don't tell anybody, but we did our honeymoon to Silicon Valley as I always wanted to see headquarters such as Borland. Object Pascal was the name of the game for me at that time and that was the language that finally got me to understand object-oriented programming. I even gave a guest speech at a Borland event as a young Product Manager. Anyway, enough of that as it is ancient history.

This time, I selected a book from a well-known Artificial intelligence expert, serial entrepreneur, technical innovator, educator, and bestselling author, Dr.Jerry Kaplan. Dr. Kaplan is also known as the founder of GO Corporation, which he founded in 1987, and here is a fantastic book about his journey with GO Corporation. I wanted to pick Dr. Kaplan's latest book because he has seen the development of AI in Silicon Valley and has his Ph.D. in the AI domain.

Dr. Kaplan's new book "Generative Artificial Intelligence: What Everyone Needs to Know® is a great resource and written in a way that will help people with a general interest in GAI and people who want to really understand how, for example, LLMs are constructed and all the different concepts around GAI. The book nicely highlights the history of artificial intelligence quoting the famous Assistant Professor John McCarthy from Dartmouth College in Hanover, New Hampshire Dartmouth as one of the first uses of the "artificial intelligence" concept back in 1956 in a summer conference in Dartmouth with Marvin Minsky (Harvard), Nathan Rochester (IBM), and Claude Shannon (Bell Telephone Laboratories). I think it is important to recognize and understand the evolution of AI technology to understand where we are today and how quickly things have evolved due to digitalization, computer power, and limitless storage.

The book layout consists of the following chapters:

The history of Artificial Intelligence - the chapter portrays nicely the origins of AI, how early AI researchers approached AI, the rise of machine learning etc.

Generative Artificial Intelligence - the chapter explains concepts such as LLMs, embeddings, Neural Networks, Transformers, tokens, jailbreaking, hallucination, etc.

Likely Impact - the chapter explains how AI will impact different industries such as healthcare, legal systems, education, software engineering, creative arts and industries

Future of Work - the chapter deals with topics such as how GAI will increase unemployment, how automation affects labor markets, which jobs will probably fade away, jobs that will not go away, which jobs will thrive and grow, and what new industries and professions are likely to arise.

Risks and Dangers - the chapter explains how GAI will promote disinformation and what algorithmic bias means and includes a discussion of whether "killer robots" are just around the corner.

The Legal Status of GAIs- the chapter includes a discussion of different aspects of legalities such as ownership, how GAI can be held accountable, and whether people should be held accountable for their intelligent agents' actions

Regulation, Public Policy, Global Competition - the chapter includes a discussion of whether GAIs are protected by free-speech laws, whether the output of GAI can be copyrighted, and many other topics

Philosophical Issues and Implications- the chapter includes an interesting discussion of whether a computer can think, be creative, have a conscience, or have a feeling. We

Outroduction- the final chapter is where Dr. Kaplan makes predictions and prognostications about GAI.

The book's layout allows you to skip chapters that you already know well or are not interested in. I specifically liked how Dr. Kaplan described the logic of LLMs and the historical review of AI.

There are lots of books about AI, GAI, and LLMs, but what made me select this is that Dr. Kaplan has a long history within the domain, he has a software background, and as an academic, he has the skills to select topics that are relevant to portrayed in a book like this.

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Yours,

Dr. Petri I. Salonen

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