comment_ran

昨年議論

Pretty much the same trajectory. I started at my T420 around 2010 and that time I just main laptop, computer. Then, as I have a more powerful desktop, this T420 becomes my secondary computer and I started to experience Linux with it. After almost 15 years I end up converted it into a PVE host and run just one or two virtual machines on it and it's quite durable I can still do functional work on it, quite remarkable how a computer can last so long.

comment_ran

昨年議論

   合抱之木，生于毫末；九层之台，起于累土；千里之行，始于足下。 [1]
   This is not secret, almost everyone knows it thousand years ago,
   but most of people won't do it. Minimum effective dose is another
   way to say be consistent on thing that you feel important. The 3rd
   chapter on Atomic Habit also give a very detailed explanation.

   And it is so easy to find real word examples:

   "Mental toughness and resilience fade if they aren't used
   consistently. I say it all the time: you are either getting better,
   or you're getting worse. You're not staying the same." [2]

   "That’s often all that’s necessary to get the snowball rolling, the
   action needed to inspire the motivation to keep going. You can
   become your own source of inspiration. You can become your own
   source of motivation. Action is always within reach. And with
   simply doing something as your only metric for success—well, then
   even failure pushes you forward." [3]

   In cycling training:

   - "I have always been a really consistent rider" [4]
   - "The biggest difference in my training in in 2018 to today is
     consistency" [5]
   - "My Top 5 Tips To Increase Cycling Power: Number one is
     consistency." [6]
   - Let's finish up with the five key points to how you can improve
     your FTP. Number one, be consistent. [7]
   - I have three kind of important specs in training, so the first
     one and arguably the very most important is consistency. [8]

   But if most people agree with this idea, why not everybody do this
   way? I think is lacking a clear goal, and a good way to measure it.

   I used to be competitive as cyclist, but as I getting older, I
   start lossing this part of motivition. Nowadays, I am not training
   for FTP anymore, but training for "I don't want to make this f*k
   run in this frozen winter". I want myself to become as hard as
   Goggins.

   Life is short, what would you like to be consistent with?

   [1] 道德经【第六十四章】
   [2] Goggins, D. (2022). Never finished: unshackle your mind and win
   the war within. David Goggins.
   [3] Manson, M. (2016). The subtle art of not giving a f*ck: a
   counterintuitive approach to living a good life. New York:
   HarperOne.
   [4] 12 questions with Greg van Avermaet
   https://www.cyclingnews.com/features/12-questions-with-greg-van-avermaet/
   [5] 300+ Watt Ramp Test, My 66 Watt Increase - Trainerroad, Zwift,
   Sufferfest https://youtu.be/HPQUgrd7zR0?t=292
   [6] How I Increased My FTP By 140 Watts & My Top 5 Tips To Increase
   Cycling Power https://youtu.be/FVetgOjQxak?t=313
   [7] How to Raise Your FTP || Workouts and Strategies to Boost Your
   FTP in 2021 https://youtu.be/ECpZ1KxUfyM?t=802
   [8] How I´ve doubled my FTP in 3 years https://youtu.be/UJTHfK-hmYw?t=336

comment_ran

2 年前議論

Really want to try to test that rotating cylinder case shown in the paper. Apprecitate anyone could pin point the source code to run a simple case like that.

comment_ran

2 年前議論

One day, I'm working on a Linux machine with my Emacs open, I'm using a Bazel to clean my today's to-do list project. And I open the browser to find a person who wrote a blog about Boost.graph which I never heard about, but I'm really interested to look at. I finish this writing, save the buffer and =C-c g= to lunch magit to write a commit message "good day", then pushed to my git repo.

comment_ran

2 年前議論

I still remember in high school, we only need two or three equations to solve a free-fall problem. In another book, basically the same question, but someone uses Hamiltonian framework to solve really complex PDEs and couple pages with those crazy equations to basically solve the same thing, and eventually got the same results.

I still remember that was mind-blowing. High school physics is so simple, whereas the Hamilton is so complex. I later on notice that Hamilton is kind of a more standard way to solve the problem. Never mind, I'm not an expert on it, but I'm just kind of amazed by the Hamiltonian mechanics.

comment_ran

2 年前議論

It descripts a system using the energy concept. The total energy of the system, which is the sum of kinetic energy and potential energy. Its formula often looks like H = T + V, where T represents kinetic energy and V represents potential energy.

Both the quantum mechanics and molecular dynamics have shared a similar concept.

In structural mechanics, we use the virtual method to calculate the hyperstatic structure to determine displacements in a structure, given forces acting on the structure. Another kind of Hamiltonian.

comment_ran

3 年前議論

After watching his speech, the first thing that came to my mind is one of the speeches that was given by James T. Kirk, which I had no idea which episode it was in, but I do remember the core meaning of that speech. So I use chatGPT to actually help me to find it by just single one question. And it works! And here's the thing I want to share with the the audiuence.

"They used to say if man could fly, he'd have wings, but he did fly. He discovered he had to. Do you wish that the first Apollo mission hadn't reached the moon, or that we hadn't gone on to Mars and then to the nearest star? That's like saying you wish that you still operated with scalpels and sewed your patients up with catgut like your great-great-great-great grandfather used to. I'm in command. I could order this, but I'm not because Doctor McCoy is right in pointing out the enormous danger potential in any contact with life and intelligence as fantastically advanced as this, but I must point out that the possibilities - the potential for knowledge and advancement - is equally great. Risk! Risk is our business. That's what this starship is all about. That's why we're aboard her. You may dissent without prejudice. Do I hear a negative vote?"

- James T. Kirk Return to Tomorrow (1968)

comment_ran

3 年前議論

I'm listening to her book The worlds i see: curiosity, exploration, and discovery at the dawn of ai. So right now, I'm just in the middle. She's Starting from physics, but eventually found something interesting internal world for a person, which lead to the road to artificial intelligence. I have pretty much the same experience like her. Starting young, falling in love with physics as I get older. I also noticed a huge motivation to learn Myself. The thing in my head, how it works, how it behaves, how I react to certain external world stimulus. Yeah I'm still in the process to to her book and try to understanding of this new technology and immerse myself in this new things and try to do some interesting stuff.

comment_ran

3 年前議論

How about https://pirateweather.net/en/latest/ ?

Does anyone have a compare this API with the latest API we have here?

comment_ran

3 年前議論

So for a daily user, to make it a practical usage, let's say if I have a local measurement of X, I can predict, let's say, 10 days later, or even just tomorrow, or the day after tomorrow, let's say the wind direction, is it possible to do that?

If it is possible, then I will try using the sensor to measure my velocity at some place where I live, and I can run the model and see how the results look like. I don't know if it's going to accurately predict the future or within a 10% error bar range.

comment_ran

3 年前議論

Dude, this is crazy.

comment_ran

3 年前議論

Maybe it's naive for me. Every time we talk about a simulation, we got an accurate model and we have some model validation to run our model. The next big question is, okay, what can we do with those models? If we can do CFD simulations, we can use that tools to build fast car, to build efficient SpaceX rocket to reduce the cost, but in terms of this cosmology galaxy formation, what can we do with this model?

One simple idea for me is to, okay, is there any significant difference from a large-scale model with at the galax scale and the model we have, let's say, simulating a von Karman vertices because both of them are showing very similar structure. Yes, that's an idea of comparison.

comment_ran

3 年前議論

I was thinking about a use case for this device. First thing, it's about water resistance. Is this waterproof? So I'm thinking about its relation to, let's say, a smart glass you have. I mean, they both can take a picture on camera. They can both understand your voice. You can use it as a microphone. So what's the thing that a smart glass is not able to provide?

comment_ran

3 年前議論

It's so cool. I was wondering if we can make crawler tool much easier and better. It's more similar to the "human" way to interact with a website.

comment_ran

3 年前議論

[dead]

comment_ran

3 年前議論

"..., find the 4mm Allen (HEX) key". Nice job.

comment_ran

3 年前議論

url?

comment_ran

3 年前議論

Well, it looks like something, but if you're not talking to me that it's water, I can not say. I just have a strange feeling about it. It's not water, it's something different. I don't know why, maybe it's the way you visualize, or maybe it's just the two-dimensional nature of the simulation. Or maybe it's the reflection, maybe it's the post-processing procedure. We don't have some ray tracing, we don't have those normal calculations, reflection index, all those crazy stuff.

comment_ran

3 年前議論

I'm not going to delete my .emacs file even though it is ugly, it just works.

comment_ran

3 年前議論

It really depends on what data you're processing with. For someone whose data is hundreds of tetrabytes, the workflow to saving those data and manipulating or retrieving those data as request becomes very tricky, very hard task, especially when you think about the backup time. Maybe you can scale down the concept of L1, L2, L3 cache but at a higher, bigger scale. And always figure out what's the most important things to you at different stages and make those choices. You definitely compromise something in order to have large scale of data. So, again, it's about figuring out what's most important to you.

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