A Beginner's Guide to AI
Why Small AI Mistakes Become Massive Disasters - Peter McAllister Tells Us
20 Apr 2026
Transcript generated automatically by AI and may contain errors.
Chapter 1: What is the main topic discussed in this episode?
I expected it to sit on the bookshelves under dystopian fiction, and now it seems to be appearing under current affairs.
Chapter 2: What sparked Peter McAllister's interest in AI?
An AI going rogue could just be something that is capable of doing something fairly simple and straightforward, but ridiculously fast in a ridiculous number of times.
Chapter 3: How does Peter's book address AI mental illness?
Bad data, bad outcomes, they are the early warning sign.
Chapter 4: Why can small AI mistakes lead to massive disasters?
Once it's done something small wrong, it's going to get to something large wrong very, very quickly. We make way more mistakes than we ever admit to. LLMs are just a really, really, really, really, really overblown autocorrect.
Chapter 5: Can governments effectively regulate AI technologies?
Yeah, so today we talk about what could go wrong with AI. Peter McAllister has this great book, The Code, and we look at the details and dangers that are not
science fiction okay in this book this is science fiction but the it's it's it should be eye-opening for you and to point you at dangers that are out there but before i talk too long first of all welcome to another episode of the beginner's guide to ai it's Dietmar from Argo Berlin at the microphone
And you all know, please go to beginnersguide.nl to get the newsletter, to get tips, tricks, and the latest episodes in your mailbox. Also go to AI for the 99%, the podcast for the small and medium-sized firms with tips and tricks, how to use AI for your business. And the last thing is, let's give the microphone to Peter and see what he has to say.
Chapter 6: What social bargains do we make with dangerous technology?
Yeah, so I can talk a lot about Peter McAllister, who is the guest today. The best thing he would tell you something about him. But first of all, Peter, welcome to the podcast.
Thank you very much, Dietmar. It's a pleasure to be here.
Chapter 7: How do optimism and pessimism shape our view of AI's future?
Yeah. Peter, you authored a book with AI. So what did interest you about AI?
Chapter 8: What are the implications of AI rights and sentience?
Why AI for you?
Well, that's actually a very hard question and I really mean to start with that one first. I guess the key thing about AI for me is that as it's developed and as we've worked through it over the last several, well, couple of decades into machine learning and those kinds of areas, there's been this desire to, for want of a better term, mimic the way human brain works, mimic those processes.
um and make them better faster stronger um and that's to effectively take and use the good parts of our brain the bits that are doing the processing the bits that are doing the calculating the bits that are doing the reasoning and the logic but we've got another part of our brain we've got another part of our brain which is is emotional and has negative attitudes and and is prepared to do bad things so the the idea of the book was well
what if that comes across as well and how does that actually end up presenting so um the the title the um the uh the code um if your ai loses its mind can it take meds was really about the idea of if an ai starts exhibiting the behavior that we would consider mental illness in a human what are you going to do about it? What can you do?
Because you've got this souped up, amped up thing that's used to running at a million miles an hour that's amplifying that the same way as it might amplify something good. So the book was sort of exploring that approach in an AI and in parallel takes a main chasm, one of the protagonists that is also battling mental illness themselves.
So it sort of takes a machine through that process and a human through that process.
That's great because it's an interesting parallel. And the machines we work now with, I mean, you wrote the book in 2020 and the book has aged well because everybody, I would really recommend you out there read the book because it's like what struck me first was this thing.
You don't have, in this case, it is a really intelligent AI, but you don't have to have an intelligent AI in a sense of that it can make damage. Let's say no superhuman AI. It just needs to do things on a scale we can't do. And if that makes it problematic, yeah, this is really like, wow.
Yeah. So right now an AI going rogue could just be something that is capable of doing something fairly simple and straightforward, but ridiculously fast and a ridiculous number of times.
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