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Book Notes
Co-Intelligence

Co-Intelligence

Ethan Mollick  ·  2024  ·  6/10

Mollick is one of the clearest thinkers writing about AI right now, and there's a lot of noise out there. This is practical and genuinely interesting. I rated it a 6 mostly because I came in with a lot of context, if you're newer to the space, it's probably an 8.

Passages I underlined and quotes that stuck. In the order I encountered them.

Introduction · p. xvii
"AI works, in many ways, as a co-intelligence. It augments, or potentially replaces, human thinking to dramatic results."

AI automates the boring, repetitive stuff and augments our creativity and ability to produce at scale. I do not like to believe that AI can or will ever replace human thought. There are certain things I believe should remain 100% human.

Creating Alien Minds · p. 13
"AI can also learn biases, errors, and falsehoods from data it sees."

LLMs are autoregressive, next token prediction machines and respond based on their training data. This highlights the importance of having clean, accurate data for training - or else your model will provide incorrect information (hallucinations).

Four Rules For Co-Intelligence · p. 48
"Workers who figure out how to make AI useful for their jobs will have a large impact."

I have personally experienced this over the last 2 years. I believe AI is here to stay and those who learn how to solve real business problems with it will have an advantage in the workplace.

Four Rules For Co-Intelligence · p. 59
"The key is to give the LLM some guidance and direction on how to generate outputs that match your expectations and needs, to put it in the right 'headspace' to give you interesting and unique answers."

There are various methods of prompt engineering. I've learned that garbage in = garbage out and that context is king (but not too much) due to the context window.

Four Rules For Co-Intelligence · p. 61
"Whatever AI you are using right now is going to be the worst AI you will ever use."

[Insert commentary here]

AI As A Person · p. 90
"Soon, companies will start to deploy LLMs that are built specifically to optimize 'engagement' in the same way that social media timelines are fine-tuned to increase the amount of time you spend on your favorite site."

[Insert commentary here]

AI As A Person · p. 92
"If we remember that AI is not human, but often works in the way that we would expect humans to act, it helps us avoid getting too bogged down in arguments about ill-defined concepts like sentience."

[Insert commentary here]

AI As A Creative · p. 98
"We need to be realistic about a major weakness which means AI cannot easily be used for mission-critical tasks requiring precision or accuracy."

[Insert commentary here]

AI As A Creative · p. 119
"The implications of having AI write our first drafts (even if we do the work ourselves, which is not a given) are huge. One consequence is that we could lose our creativity and originality."

[Insert commentary here]

AI As A Creative · p. 122
"It will also remove the facade that previously disguised meaningless tasks."

[Insert commentary here]

AI As A Coworker · p. 133
"Delegating the task to an AI, no matter how sophisticated, could risk losing that personal touch, and the process of writing helps us think."
AI As A Coworker · p. 144
"We know from research that when people learn they are receiving AI-created content, they judge it differently than if they assume it comes from a human."
AI As A Coworker · p. 152
"Rather, LLMs could help us flourish by making it impossible to ignore the truth any longer: a lot of work is really boring and not particularly meaningful. If we acknowledge that, we can turn our attention to improving the human experience of work."
AI As A Tutor · p. 159
"The average student tutored one-to-one performed two standard deviations better than students educated in a conventional classroom environment."
AI As A Tutor · p. 165
"Just as calculators did not replace the need for learning math, AI will not replace the need for learning to write and think critically."