For this week’s book club, I was supposed to read Normal People, which is supposed to be an acclaimed book. Frankly, I couldn’t read it. The style is horrendous and unreadable (and I managed to read the Hunger Games books which were ranked at the lowest in my opinion). A few reasons are the fact that it’s a first person-present tense book, which I always fail to dive in. By definition, these books don’t allow me to immerse myself in their environment. Then the other reason is that when the book start, in the first few pages, you don’t get any information, any goal to go on reading.

So instead, I turned myself to an older book I read when I came in the UK (I think), Beat the Reaper.

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During the coronavirus confinement, I found myself reading less, at least at the beginning. The main reason was that I used to read 1 hour during my commute, but this commute didn’t exist anymore! But to save me, I had my newly created CrossFit book club. We share book ideas, and each week read one book or some science articles. This book was one of them.

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While I was reading an article on Google last Deep Learning achievement, I was reminded of a previous discussion with former colleagues about replacing reservoir simulations with neural networks. At the time, I dismissed the idea as ridiculous due to the complexity of the task and the requirement for the training.

But now, Google seems to have done it. Or have they?

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I had to wonder. In my previous computer science positions, my coworkers were rarely computer scientist majors. They had a varied background, like chemistry, and I have myself an odd background (majored in signal processing, digital electronics and automation, then music and also a PhD in machine learning in partnership with a neuroscience lab).

In finance, lots of people are finance first and only, and they take everything at face value. Then came Epstein’s book. Could it explain what I was seeing?

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I create a model of the Boss SD1 and the Ibanez TS9 some time ago. Now it’s time to get on modelling another pedal, the famous Boss MT2 Metal Zone.

There are many pages online that also analyse this pedal, but I’d like to start from the schema, split in independent pieces and analyze them with my Modelling  Lite tool. The end result will probably end up as a new plugin, but this is currently outside the scope of this new subserie.

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