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Ethan Mollick Newsletter
The the words it uses that this site has seen least often elsewhere. Posts are matched on those words alone — nothing here is a summary of this one.
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19 September
13 September
10 September
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Their words
AI has always been very jagged, and we are making models which are superhuman goal-seekers at math and software engineering, but they have massive limitations on intuitions, creativity, and other types of reasoning that humans are strong at.
9 September
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korrents.com
Verifying whether a photo is authentic (unaltered by AI) is becoming an increasingly difficult problem.Their words
In an era where validating image authenticity is turning into a real challenge, I think we have to commend Apple for trying to do something in this field.
8 September
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Their words
Nous has some of the best damn visuals and brand wizards in the game.
1 September
28 August
24 August
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Likedrcmnd.app
gpt-5.6-luna-fastTheir words
openai/gpt-5.6-luna-fast xhigh is *really* good at boring web dev tasks eg. migrations, ports, verifying work with agent-browser
29 July
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Their words
Then the actual system might still have bugs, but we can iron out the issues in the abstraction such that we don't actually build them in the real system.
6 April
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Their words
This makes it likely that there could be big gaps between when different definitions of AGI are fulfilled.
The term “AGI” is almost useless at this pointhelentoner.substack.com
22 March
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korrents.com
Release management is human group sense-making, and it does not scale to the volume of change AI now produces.Their words
so many times that process has been managed by humans because you're selecting the right candidate build and you're verifying it and you're thinking, you know, you're figuring out cherry picks and then you like rebundle and then you send it out and that doesn't scale if you have one or two or a handful of people trying to make group decisions and do group sense making.
20 March
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Their words
So, we're now in a situation where suddenly people can generate thousands of theories for a given scientific problem. And now we have to to verify them, evaluate them and this is something which we we have to to change our structures of science to actually sort this out.
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Their words
And so you're kind of like you're either on rails and you're part of the super intelligence circuits or you're not on rails and you're outside of the verifiable domains and suddenly everything kind of just like meanders.
13 January
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Their words
But the "Fall" into agriculture turns out to be a much more nuanced-and jagged-story than the standard account would have it.
17 November 2025
5 June 2025
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Their words
I feel like we are in the AJI phase where dramatic progress, some things don't work well, but overall you're seeing lots of progress.
24 May 2025
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Recommendsaffiliate linkrcmnd.app
Where Wizards Stay Up LateTheir words
Where Wizards Stay Up Late - Katie Hafner, Matthew Lyon (Simon & Schuster, 1998)
30 December 2024
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Likedrcmnd.app
A Wizard of EarthseaTheir words
I picked this book up, and I liked it. On the surface, it's about wizards and magic, but there's more to it. Every now and then, Ursula Le Guin sprinkles in some wisdom.
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Likedrcmnd.app
Principles of the SPIN Model CheckerTheir words
This book gave me both insight and a deeper curiosity about the subject. This book introduces the SPIN model checker and exposes the reader to the nuances of verifying programs using SPIN. A nice feature of the book is how it explains concepts using thoughtfully developed, freely available tools (such as jSpin) that the author created for pedagogical purposes. It's a demanding book, but the content was interesting. The book presents details about concurrency, temporal logic, non-determinism, advanced SPIN topics, and even case studies. I've already written a few blog posts about the topics I explored while reading this book, and I plan to write more. Overall, it's a good book. I'm sure I'll revisit the latter half again.
12 October 2022
26 April 2022
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