It's not your code if you just said "implement this" and then you shipped it. It's going to backfire - and if you still think that you own that code... well you're wrong. You're a code custodian rather than a code owner.
231 karma · joined July 14, 2018
It's not your code if you just said "implement this" and then you shipped it. It's going to backfire - and if you still think that you own that code... well you're wrong. You're a code custodian rather than a code owner.
Moreover, I want to understand them as I did for any other tools in the past, that's why I find myself using and exploring them also outside work. It's just a tool, but with a huge impact of the crafting process (that is the fun part of coding for me).
The claude generated text has something that I cannot clearly pin-point, that my brain detects somehow and immediately makes me feel bored. I can't keep up with the reading of a long ai generated answer ("reasoning") - it really hurts.
The same goes for writing - I always wanted to write both text and code.
The whole experience of getting into "the flow" was rewarding - endless nights (when I was younger) spent in that state, to reach something, learn something.
Now instead, the act of delegating thinking, writing, coding, and reading mainly AI generated text, makes me feel disoriented and more and more bored.
He starts to tell that everyone is maintained by the US - lol what?
He starts blaming Europe for being a parasite (thanks!) and treating Zelensky like everyone has seen live.
No one is telling him that his actions will have consequences for the US in their international credibility (gone) and relationships with partners (ruined)?
One day, he does a totally broken linear regression and applies no sense tariffs to every country in the world (no Russia - weird enough).
It's well known that tariffs are not a way to attract investment in your country - there's a lot of theory and historical examples that demonstrate that.
Moreover, it's just absurd to think that these kinds of actions are going to make American (!) corporations, now producing elsewhere, back in the US. No supply chain ready, lack of resources, ...
I don't know - it looks like a single man has too much power and no one around him is helping him make better decisions (for the country) in the long term. On the contrary, it looks like all the decisions are pretty much market manipulations in order to make some "friend" get some money.
But again, this is what it looks like from the outside - and it's quite worrying
Moreover, from the outside (European here), it looks like the US president can literally do whatever he wants without being subject to regulations or facing any consequences - pretty much like a dictatorship. No discussion, no parliament, no opposition taken into account. Crazy.
Knowing the damage I was doing to myself, all the side effects and bad impact on my health (sleep, hearth, overall physical performance) literally stopped me from continuing with this. Moreover, in the same period the report the article "THE IMPACT OF ALCOHOL CONSUMPTION ON CARDIOVASCULAR HEALTH: MYTHS AND MEASURES"[1] from World Health Federation came out. TL; DR: the right amount of alcohol for anyone is precisely zero.
In short, a better knowledge of what I was doing to my body helped my in stopping a bad habit.
[1]: https://world-heart-federation.org/wp-content/uploads/WHF-Po...
Let's see if I'm able to face them all (that's also my first year that I join the AoC - so it's totally new for me)
That's unfortunate
If in the other puzzles there's some optimization problem that can be expressed in a differentialble way, then I'd use ML for sure. But until there exist a deterministic solution, ML is just a waste (I say this as a ML researcher :) )
Even if now autograph is able to convert them correctly, I still prefer to have every operator explicitly converted whenever possibile. The loop, luckily, never had this transpilation problems
Or generative models: same workflow (python definition and train. Export and use in other languages).
I use Tensorflow basically everyday. I use pytorch only when I read a model implemented in this framework to reimplement it in Tensorflow (in order to use all the tools I developed to simplify the train to shipping to production phases)
For point 2: I don't see the problem. I use almost daily a wrapper (defined inside tf.contrib, that in version 2.x will go in core [I hope]) around the optimizer that in 2 lines allows me to distribute the training on multiple GPUs on the same machine