Practical advice from an GenAI expert
The book is divided into 2 parts: Part 1 - Describing AI and Part 2 - Practical Applications.
- Principle 1: Always invite AI to the Table
- Principle 2: Be the human in the loop
- Principle 3: Treat AI like a person (but tell it what kind of person it is)
- Principle 4: Assume this is the worst AI you will ever use
“The Button”- start tasks with AI or “the button”
- Just Me Tasks
- Delegate Tasks
- Automated Tasks
4 future scenarios for AI
- Scenario 1: As Good As it Gets?
- Scenario 2: Slow Growth?
- Scenario 3: Exponential Growth
- Scenario 4: The Machine God
Key Quotes (bold is my emphasis)
- I discovered something remarkably close to an alien co-intelligence (xv)
- Where previous technical revolutions often targeted more mechanical and repetitive work, AI works, in many ways, as a co-intelligence….[AI] can lead to 20-80% improvement in productivity across a wide variety of tasks….in contrast, when steam power, the most fundamental General Purpose Technology improved productivity 18-22% (xvii)
- AI has blown through both the Turning Test and the Lovelace Test…it is not entirely clear why AI can do all these things….no one knows where this is headed” (xviii)
Chapter 1: Creating Alien Minds
- The crazy thing is that no one is entirely sure why a token prediction system resulted in an AI with such seemingly extraordinary abilities (24)
- Where AI works bests, and where it fails, can be hard to know in advance (25)
Chapter 2: Aligning the Alien
- Current tools launched by small teams and used by amateurs…..it is likely that national defense organizations in a dozen countries are spinning up their own LLMs, ones without guardrails (42)….This could include consensual intimate imagery, political disinformation targeting public figures, or hoaxes aimed at manipulating stock prices… allow nearly anyone to generate convincing fakes undermining privacy, security, and truth.?? And it is definitely going to happen (42)
Chapter 3: Four Rules for Co-intelligence
- Principle 1: Always invite AI to the Table
- Principle 2: Be the human in the loop
- Principle 3: Treat AI like a person (but tell it what kind of person it is)… As imperfect as the analogy is, working with AI is easiest if you think of it like an alien person rather than a human-built machine (57)…..You must establish a clear and specific AI personal, defining who the AI is and what problems it should tackle (57)
- Principle 4: Assume this is the worst AI you will ever use…The next phase of AI development will involve more AI “agents” – semi-autonomous Ais that can be given a goal (“plan a vacation for me”) and execute it with minimal human help (61)….There is no reason to suspect the abilities of AI systems are going to stop growing anytime soon (62)
- Many things that once seemed exclusively human will be able to be done by AI.?? So, by embracing this principle, you can view AI’s limitations as transient, and remaining open to new developments will help you to adapt to change…and remain competitive in a fast-paced business world (62)
- A common misconception tends to hinder our understanding…the belief that AI, being made of software, should behave like other software….AI is terrible at behaving like traditional software (65)
- AI doesn’t act like software, but it does act like a human being.? I’m not suggesting AI systems are sentient like humans…Instead, I’m proposing a pragmatic approach: treat AI as if were human because, in many ways, it behaves like one….”treat it like a person” principle of AI can significantly improve your understanding of how and when to use AI in a practical, if not technical, sense….AI excels at tasks that are intensely human (66)
- AI struggles with tasks that machines typically excel at (67)
- Though it has no morality on its own, it can interpret our moral instructions (69)
- It can be extremely challenging, in the heat of the conversation, to remember that you’re not talking to a living, conscious person (85)`
- Treating AI as a person, then is more than convenience, it seems like an inevitability (91)
Chapter 5 AI as a Creative
- AI cannot be easily used for mission-critical tasks that require precision or accuracy (98)
- This is the paradox of AI creativity.? The same feature that makes LLMs unreliable and dangerous for factual work also makes them useful.? The real question become how to use of its strengths while avoiding its weaknesses.(99)
- Are these [things created by AI] original ideas?? It is often very hard to tell.? The AI is not explicitly searching a database of ideas; instead, it relies on its training to find connection (102)
- AI should be invited to any brainstorming session you hold (106)
- When faced with the tyranny of the blank page, people are going to push The Button.? It is so much easier to start with something than nothing… the implications of having AI write our first drafts are huge (119)
Chapter 6 AI as a coworker
- Just Me Tasks. They are tasks in which the AI is not useful and only gets in way, at least for now…we may reserve Just Me Tasks for personal or ethical reasons (130-1)
- Delegate Tasks.? These are tasks you assign the AI and may carefully check, but ultimately do not want to spend a lot of time on (133)
- Automated Tasks.? Ones you leave completely to the AI and don’t even check on…This is likely to be a very small category…for now (135)
- In study after study, the people who get the biggest boost from AI are those with the lowest initial ability – it turns poor performers into good performers….AI acts as a great leveler, turning everyone into an excellent worker. (157)
- I have been making the argument that expertise is going to matter more than before, because experts may be able to get the most out of AI coworkers and are likely to be able to fact-check and correct AI errors (187)
- We already know one major effect of AI:? it levels the play field….in field after field, we are finding that humans working with an AI co-intelligence outperforms all but the best humans working without AI. (188-9)
Chapter 9 AI as of Future
- Scenario 1: As Good As it Gets. ?
- Scenario 2: Slow Growth.??…Most exponential growth slows..AI hits a barrier (199). AI comes to take a larger and larger role in our lives but gradually enough that the disruption is manageable (203)
- Scenario 3: Exponential Growth…..AI companies might use AI systems to help create the next generation of AI software.? Once this process starts, it may be hard to stop.? And at this pace, AI becomes hundreds of times more capable in the next decade (203-4)….In this scenario, risks are more severe and less predictable (204)…AIs a hundred times better than GPT-4 start to actually take over human work …it will require a major rethinking of how we approach work and society… shortened work weeks, universal basic income, …
- Scenario 4: The Machine God….Machines reach AGI and some form of sentience.? They become as smart and capable as humans. Yet there is no particular reason that human intelligence should be the upper limit (207)…..There is no theoretical reason why this can’t happen, but also no reason to suspect that it might (208)
Helping Shape the Marketing Department of the Future | Fractional CMO | Digital Marketing | Content Marketing | Lead Generation | AI Enthusiast | Marketing AI | Go Giver | Founder & CEO at &Marketing | Certified MBE
9 个月Excellent summary thank you!
Advisor Ai & Healthcare for Singapore Government| AI in healthcare | 2x Tedx Speaker #DrGPT
11 个月This is excellent
To Save 1 Billion Lives with AI, Exponential Blueprint Consulting LLC, President/Founder, When the AI System Has to Be Right: Healthcare, AV, Policy, Energy. Co-Author of 2030: A Blueprint for Humanity's Exponential Leap
11 个月great summary of the book. I am part of a book club that will be reviewing part 2 of the book and I will be coving Chapter 9 AI as of Future. I think we will be between: Scenario 2: Slow Growth and Scenario 3: Exponential Growth depending on the task and functionality. We have already seen this. We have Exponential growth in computing and communication but slow growth in energy development or cancer cures.
Director ? Program Head ? Engineering Leader ? Software Developer/Architect ? Automation Expert
11 个月Thanks for the insights into this book, Paul! I especially like this quote: "Many things that once seemed exclusively human will be able to be done by AI.??So, by embracing this principle, you can view AI’s limitations as transient, and remaining open to new developments will help you to adapt to change…and remain competitive in a fast-paced business world". AI technologies are progressing very quickly. It's increasingly important that we all continue to adapt to the changes it is bringing to all areas of our lives.
2x Best Selling Author, AI Keynote Speaker, Digital Change Strategist . . . I focus on how AI can help us be better at what we do best.
11 个月So much here . . . this one struck me because I just saw a talk from Adam Cheyer that also brought home his surprise that a model designed to predict the next word being able to "understand" and "reason": "The crazy thing is that no one is entirely sure why a token prediction system resulted in an AI with such seemingly extraordinary abilities"