Did you ever wonder what happened at id Software when they created their famous first games? This book sheds a novelized light on the life in id Software and the main characters that made happened, focused on the relationship between the two Johns.
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.
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.
It has been a long time since my last blog entry, and confinement didn’t help. But let’s try to use this time to read more, and what more to the point than a book on the NHS, the UK National Health Service in these times where it’s pushed to the limit?
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?
I watched a YouTube video recently on writing a (nonfiction) book, and the vlogger was talking about this book. As an avide reader, I have been sometimes frustrated by some of the my reads’ storyline. Could this book help me?
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?
It’s time for the annual review of the Lego Technic flagship, and this year Lego partnered with Liebherr for an impressive excavator.
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.