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This week I came across two posts with more moderate takes on how AI will influence our work.
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One of the consequences of LLM proliferation is that significantly more academic papers are uploaded to arXiv and submitted to conferences.
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Really interesting Dwarkesh podcast episode with Ada Palmer, a history Professor at the University of Chicago.
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A post shared by antirezthat resonated with me (as of January 2026).
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This week the Lunch with the FT is with Yann LeCun.
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This is such a well-produced video by one of my favorite youtube channels, Veritasium.
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Sean Goedecke verbalized something I had on my mind for quite some time, but couldn’t put into words.
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Interesting post from the great blog Construction Physics on the evolution of solar energy cost in the last 20 years, and what that means for solar’s role as an alternative way of powering your home.
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One of the best ways to become a more effective user of LLMs is to watch other people use them.
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Interesting discussion of git config options that the git core developers favor and that are not (yet) defaults.
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This is an interesting podcast conversation with Brandon Sanderson that I came across accidentally (I enjoyed particularly the parts from [00:37:57] onwards).
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“Getting from a rough idea to a working proof of concept of something like this with less than 15 minutes of prompting is extraordinarily valuable.
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Casey Handmer’s perspective on how to think about your job and career, especially relevant for people transitioning into tech after a PhD/Postdoc: “It’s not enough to have mastered your job to get moved up.
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A couple of senior developer best practices that I can relate to, especially: “Avoid, at all costs, arriving at a scenario where the ground-up rewrite starts to look attractive.” and “Nobody cares about the golden path.
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I am at least sceptical that the current LLM approach will allow the necessary step change in capability, autonomy, and robustness.
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I think most people (that get to choose) know deep down about the major things they need to do to be more productive, have a more fulfilling career and family life.
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I agree with this blog post on good (impact, leverage, vision) and bad (money, status, growth) reasons for becoming a manager.
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“[…] much of the point of a model like o1 is not to deploy it, but to generate training data for the next model.
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I am a big fan of the decentralized and simple nature of RSS.
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I wanted to add a link blog section to this blog since some time.