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Swedish programmer with degrees in engineering and psychology, author of Your Code as a Crime Scene and founder of CodeScene.

• Likedrcmnd.app

  Multi-Paradigm Design for C++

  Their words

  Multi-Paradigm Design for C++ by James O. Coplien. Twenty years after reading this, the core techniques are still with me. These are commonality analysis, where the purpose is to identify families of systems, and variability analysis, which focuses on capturing the domain parameters that vary. In essence: the foundation of great software design.

  adamtornhill.substack.com

Professor of international affairs at Johns Hopkins SAIS and co-author, with Abraham Newman, of Underground Empire: How America Weaponized the World Economy.

• Our readingkorrents.com

  Ireland's colonial wars helped set the template Britain later applied elsewhere in its empire

  Their words

  The brutal war and its aftermath set some of the parameters for what Britain did later in other parts of the world.

  John Crowley has diedprogrammablemutter.com

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

From one piece Jeff Dean: The 1% Rule for Building in AI 2 beliefs, in the piece's order there

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  What sits in a model's context is far clearer to it than its training data, which is trillions of tokens stirred into a soup of parameters.

  Their words

  And the nice thing about that is that information is really clear to the model, unlike the training data the model was trained on where it's all kind of like trillions of tokens stirred together into a soup of of hundreds of billions or trillions of parameters, but it's all less clear than the actual context uh that the model sees directly for this particular problem or uses use case.

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

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  You improve a model you cannot retrain by writing better guidelines and skills for it, not by adjusting its parameters.

  Their words

  And often you can actually make the model work better and succeed at that kind of problem by not just adjusting the model parameters which is hard to do from the outside but from you know creating better guidelines for the model you know writing skills for the model to know how to use different tools that would be incredibly useful for solving this particular class of problem.

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

Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".

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  Process supervision by an LLM judge cannot be run for long, because a judge with billions of parameters is gameable and RL will find its cracks.

  LLMs

  Their words

  the reason that I think this is kind of tricky is quite subtle. And it's the fact that anytime you use an LLM to assign a reward, those LLMs are giant things with billions of parameters and they're gameable.

  youtube.com

Coffee consultant and author of books on espresso, roasting and brewing, including The Professional Barista's Handbook and The Coffee Roaster's Companion; writes about brewing gear and roast control at scottrao.com.

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  Decent DE1

  Their words

  In the early days, the DE1 was considered "unforgiving" by many. I didn't mind, as the DE1's ability to control shot parameters more than made up for its early challenges.

  scottrao.com

Deep-learning researcher and Turing Award laureate; founder of the Mila institute.

• Our readingkorrents.com

  Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source.

  Their words

  At the same time, in order to reduce the probability of someone intentionally or unintentionally bringing about a rogue AI, we need to increase governance and we should consider limiting access to the large-scale generalist AI systems that could be weaponized, which would mean that the code and neural net parameters would not be shared in open-source and some of the important engineering tricks to make them work would not be shared either.

  FAQ on Catastrophic AI Risksyoshuabengio.org