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Statistician at Carnegie Mellon; writes on complex systems, machine learning and inference, and has kept a books-read notebook since 2000 that is now thousands of entries long.

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  The Thinking Woman's Guide to Real Magic

  Their words

  Mind candy fantasy: in which an early-21st-century American young woman, whose English-lit thesis and love life are going equally poorly, does a good deed; gets rewarded with three wishes, without realizing it; and, in consequence, wanders off, first into Faery and then into a Fantasyland which is convincingly poor, sexist and dirty, but also magical.

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Chief Scientist at Google DeepMind and Google Research, at Google since 1999, where he co-created MapReduce, Bigtable, TensorFlow and the TPU.

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  Inference, not training, is now the constraint, and specialized low-energy hardware will beat general-purpose GPUs and TPUs on latency.

  energy

  Their words

  Yeah, I mean it's a little different, but I think uh you're going to see more and more uh uh high performance and um low energy uh inference hardware systems because I think everyone is now realizing that inference is the key to making you know these agent-based systems be available to more and more people and that latency is really important and that specialization of the hardware is a really key way you can make uh things that are more energy efficient and lower latency than more general purpose uh computational devices like say GPUs or TPUs

  Jeff Dean: The 1% Rule for Building in AIyoutube.com

Co-founder of NVIDIA and, as of 2026, its chief executive; the company designs the GPUs most large AI models are trained on.

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  AlexNet's real breakthrough was not computer vision but the discovery of a universal function approximator that can learn any function.

  Their words

  the the breakthrough for us was realizing that AlexNet was not AlexNet. That AlexNet was an approach with deep deep learning that allows you to learn any function.

  Jensen Huang: The Mindset That Built NVIDIAyoutube.com

Professor of psychology at UCLA, where he studies human memory, attention and cognitive ageing, and author of Better with Age: The Psychology of Successful Aging.

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  Photographing a moment can weaken your memory of it, because the reason you took the picture was not to have to remember.

  Their words

  Now, it can also make your memory worse because you're realizing I want to I'm taking this photo so I don't need to remember it later. And so, you could see it going both ways, but that selection process is important.

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Writer and teacher on productivity and personal knowledge management. Author of Building a Second Brain and founder of Forte Labs, which runs the course of the same name.

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  Realizing AI's potential to expand human potential requires humans and AI working together, not AI acting alone.

  Their words

  AI has the potential to trigger an explosion of human potential, but it will require both humans and AIs working together to realize that potential.

  Introducing the Alumni Mentor Corpsfortelabs.com

Scientist and writer on quantum computing, memory systems and metascience; co-wrote the standard quantum computation textbook and wrote Reinventing Discovery.

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  Technological determinism is only believable low down the tech tree; higher up we already choose which paths not to take.

  Their words

  I'm willing to buy it sort of low enough down when, you know, progress is relatively simple, um, but but higher up you start to get to shape the way in which you you do the exploration and it's interesting, you know, people we are starting to shape it in in in interesting ways.

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Programmer and essayist who has worked at Amazon, Google, Grab and Sourcegraph. Best known for the long-form essays collected as Stevey's Drunken Blog Rants and Stevey's Blog Rants.

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  AI's business results are lagging because organisations have a low tolerance for non-determinism, not because the models are not good enough.

  Their words

  My my feeling is that probably people have a low tolerance for non-determinism. And these things are fundamentally non-deterministic. So, they can't just go replace customer call center software because they they could be wrong.

  From IDEs to AI Agents with Steve Yeggeyoutube.com

Software engineer at PlanetScale and creator of the vim-go plugin. Writes at arslan.io about Go, tooling, industrial design and books.

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  Constant social media bombardment harms people without them realizing it

  Their words

  And just like with social media, we're very easily affected by the bombardment of small pieces every single day, without realizing how bad it is for us.

  Books I Read in 2025arslan.io

Co-founder and chief scientist of Safe Superintelligence Inc., and previously co-founder and chief scientist of OpenAI.

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  There is no human analogue to pre-training — neither childhood nor evolution is the same thing as it.

  Their words

  I don't think there is a human analog to pre-training.

  youtube.com

Computer performance engineer working on datacenter performance at OpenAI, previously Netflix and Sun/Joyent. Author of Systems Performance and BPF Performance Tools, and creator of flame graphs.

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  Giving a vendor brutally honest feedback helps the vendor and the customer's own company more than polite praise given out of fear

  Their words

  It isn't easy dealing with peer pressure and a room of warm and friendly staff begging you say something, anything nice about their terrible product for fear of losing their jobs -- and realizing you must be brutal to their faces otherwise you're not helping the vendor or your own company.

  Intel is listening, don't waste your shotbrendangregg.com

Co-founder and CEO of Shopify; long-time Linux user and Omarchy contributor.

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  Everything you dislike doing is somebody else's dream job, so a founder should delegate the work they hate rather than the work they enjoy.

  Their words

  And I I just ended up like realizing everything I don't like is someone else's dream job. And that's like incredibly liberating.

  youtube.com

Software engineer and essayist who writes about programming, formal methods, philosophy and literature at thoughts.wyounas.com.

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  Principles of the SPIN Model Checker

  Their 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.

  thoughts.wyounas.com

Theoretical physicist and philosopher, Homewood Professor of Natural Philosophy at Johns Hopkins and fractal faculty at the Santa Fe Institute. Writes the Preposterous Universe blog and hosts the Mindscape podcast.

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  Assuming you are a typical observer in the universe is not humility but a hilariously presumptuous claim that typical observers are like you.

  Their words

  But then you draw some conclusions from this, and what you end up realizing is you’ve been hilariously presumptuous because by saying, “I’m a typical observer in the universe,” you’re saying, “Typical observers in the universe are like me,” and that is completely unjustified by anything.

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Front-end web developer at Paravel and co-host of the ShopTalk Show podcast; blogs at daverupert.com.

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  Analog

  Their words

  Hands down the best productivity system I have ever used.

  daverupert.com

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  Heil PR-40

  Their words

  Heil PR-40 Hanging on to this in case I ever go analog again.

  daverupert.com