The working environment in academia is often precarious :-( , so such people often have no alternatives to going into industry, even though they still deeply appreciate and are influenced by the values of academia.
5,067 karma · joined February 14, 2023
The working environment in academia is often precarious :-( , so such people often have no alternatives to going into industry, even though they still deeply appreciate and are influenced by the values of academia.
If people were similar confrontive in calling out such managers ...
My experience is completely different: many software developers are rather paranoid with respect to security, and have quite a good (though far from expert-level) knowledge about security. It's rather that many software developers are quite hostile to security practices that are mostly "security theater" and obstructs them in doing their work.
The following Reddit post
> https://www.reddit.com/r/NonPoliticalTwitter/comments/1e8do2...
and the top answer
> https://www.reddit.com/r/NonPoliticalTwitter/comments/1e8do2...
describe the mindset that I observe rather well.
You already have a degree from some university, and you already worked in software development for quite some time. So it's very annoying to do some test over and over again for every job application.
We are talking about highly educated people who work in software development (i.e. can assumed to have some minimum viable knowledge about computers), and not about the dumbest imaginable users.
I mean: if you even consider leaving your current company, you better leave no traces of your plan on your work laptop: you either use a private laptop or, even better, some burner laptop/computer that you reset afterwards.
Not for matrix multiplication of square matrices, since the output, which has to be written, is already of size O(n^2).
In 3 months: some AI frontier lab will disprove SH.
This is true, but if doing brute-force search for all instances below some super-astronomic threshold is part of the algorithm, you typically want to understand
- where this constant comes from,
- how much this constant can be decreased (or why it can't)
- etc.
So, proving the correctness of an algorithm which is doing brute-force search for all instances below some super-astronomic threshold is typically just the first step towards getting an understanding of the complexity-theoretic phenomenon.
So: There is indeed nothing wrong with such aspects of galactic algorithms, but exactly understanding and improving the super-astronomic thresholds involved is the next step.
German universities have a simple solution: students who believe that they have already "learned" calculus in school (in a sense every pupil with an Abitur school diploma (the kind of school diploma that you need in Germany to study at a university) had to learn) should hold to this belief at their own peril. :-)
Hint: After one week, these kids will hopefully have realized that the level of calculus that they learned in school was very shallow. :-)
"Smart" and "disruptive" are in my opinion at least uncorrelated, perhaps there even exists a non-trivial relationship:
In my observation often children who are either much less or more smart than the average are the more disruptive ones, though the children at the two the ends of this spectrum differ in the kinds of disruptions.
Is Norway really a non-white country? ;-)
Rather: many people who are not US citizens or don't live in the USA don't really care about the gossip around Donald Trump's most recent tantrum.
Not a head of state, but I nominate:
Vladimir Volfovich Zhirinovsky (Владимир Вольфович Жириновский), "Russia's Trump"
From the perspective of a person who is neither a US citizen nor living in the USA: I (and many of my fellow countrymen/countrywomen) will relativize and defend a lot of Trump's tantrums since they give you so much material to laugh about.
:-)
Exactly this was the idea: persons in a DevOps role have skills in both areas, i.e. are very wide skill set, so that one can assign them to very diverse tasks for more flexibility. Additionally, these persons can implement synergies to make things more efficient in areas that intersect both development and operation.
Most people don't want to learn (in particular not learn sufficiently hard to really improve).
In consideration how much spying functionality was added with Windows 10 (which worsened even more with Windows 11), and that Microsoft made it insanely hard to install Windows 11 without creating some Microsoft account, it is actually very sensible that people don't want to upgrade to Windows 10/11, despite the technological improvements that these versions provide.
The problem was rather that Microsoft had no real plan what they wanted to get out of AI. If they had a plan, they could have laser-focused their all-in on AI.
Instead, Microsoft just AI-slopped a lot of their bread-and-butter products, making them much worse than before. If AI is as revolutionizing and beloved by users as Microsoft believes, Microsoft could easily have created an offering like "Windows AI Pack" or "Microsoft AI" that should sell like hot cakes.
On the other hand, if you have to force AI functionality onto the users, it should be considered as a strong sign that perhaps it is not something that the users want.
Indeed: the prosecution of Aaron Swartz drove him to suicide, while Anthropic's CEO Dario Amodei is still alive.
... and the course of action of Carmen Ortiz', the responsible Attorney General, drove Aaron Swartz into suicide.
Good point. :-)
One is likely not an engineer if one does not notice the risk. But in practice, managers commonly desire docile subordinates, so the only thing an engineer can do in such a situation is to ensure that a paper trail gets generated that will be capable of breaking the manager's neck once the disaster has occurred. :-(