1,330 karma · joined December 12, 2018
“That’s all this is about. Your local government officials are pressuring CEOs to get butts in seats and your bosses want to walk around the office feeling like a God again watching their peons slave away in terrible conditions.”
Uuuuuugh the second point is so tired. But the first point is interesting… IF it’s true. Is there any evidence of this? Are local governments putting some kind of pressure on companies to go back to the office? I doubt there’s much to it, given the rest of this article turned out to be ranting.
I've probably booked 15 airbnbs in the US, and they've all been great. No complaints of unruly hosts, or crazy checkout chores. I think if you stick with superhosts or any property with lots of reviews, you'll usually have a good time. My biggest problem with airbnb at this point is the hidden fees until checkout.
However, "Just know stuff" I think is a secondary requirement (although an important one) to be successful. People really struggle to "just know stuff" if they aren't interested in the subject in the first place. People who aren't interested will settle for knowing only what things do, and not dive into how they work.
I am interested in this stuff, and actually self taught (bachelors in mathematics here). I have experience with a lot of stuff on this list, not through work or academia, or because I want to make money, but through fiddling on my desktop at home. I too got the "coveted tech job" as a machine learning engineer, but I never would have if I wasn't legitimately interested in this stuff, studying for fun in my spare time. I have seen lots of people fail to progress in this field because they _don't care_, they just want a good job.
Kind of off topic, but this is actually an integral part of my interviewing process. We give candidates a simple dataset to model, and we receive their script. The performance on the hold-out set is only weighted ~20%. The candidates ability to talk about their process, about the internals of the model they used, about the feature engineering quirks to work around model limitations, about their parameter tuning scheme - these conversations reveal how much someone is actually interested in the field, and is a great indicator for whether or not they are going to be a good contributor to the team. I've had candidates who couldn't tell me _anything_ about how the models they used actually worked. PhDs included!
https://www.businessinsider.com/how-to-negotiate-around-the-...
The _obvious_ answer to this question, if you want a job, is "no". Anyone that answers "yes" is a liability, regardless of their actual intention to steal.
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In November of 2020, a freak wave came out of the blue, lifting a lonesome buoy off the coast of British Columbia 17.6 meters high (58 feet).
The four-story wall of water was finally confirmed in February 2022 as the most extreme rogue wave ever recorded.
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However, right below that, it says:
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It wasn't until 1995 that myth became fact. On the first day of the new year, a nearly 26-meter-high wave (85 feet) suddenly struck an oil-drilling platform roughly 160 kilometers (100 miles) off the coast of Norway.
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New wave is 58 feet, wave in 1995 is 85 feet?
This very might well be the case for your company. However, globally, there are advantages for the employer, and disadvantages for the employee that need to be accounted for. I believe we will start to see salaries diverge between remote and in-office work to adjust for whatever particular situation the company is facing.
Advantages for Company: - A lower salary can be offered. - Employees are less Geo-constrained - Less office space to rent
Disadvantages for Employee: - Harder for junior employees to learn - Social isolation - Lower salary is possible
The situation is likely to be variable from company to company, I have a feeling that soon "remote work" will be an integral part of the identity of each job posting.
We undoubtedly do realize this, but underestimated the degree to which companies would use this to siphon as much money out of the consumer as they theoretically could. It has made for many aggravating experiences, and ruined a lot of products that used to work perfectly.
Unfortunately, for now I'm still stuck with google / apple maps and Gmail.
Instead, I think it’s just a group of busywork, incompetent administrators who have been hired to “come up with ideas”. The number of administrators in academia has absolutely exploded in the past few decades, and this is the kind of dumb stuff they do.
There's the problem, right there. A lot of these affronts are imagined, without actually getting input from people. A perfect example is the use of Latinx, which many Hispanic people have spoken out against, yet keeps getting tossed around because people _imagine_ that the word "hispanic" is offensive.
To me, code that is 95% correct will either fail catastrophically or give very wrong results. Imagine if the code you wrote was off 5% for every number it was supposed to generate. Code that is 99.99% correct will introduce subtle bugs.
* No shade to chatGPT, writing a function that calculates shap values is tough lol, I just wanted to see what it could do. I do think that, given time, it'll be able to write a days worth of high quality code in a few seconds.
The author was trying to stress the importance of wearing a life jacket, I don't think they need to get into statistical robustness in their summary paragraph for something that is so _obviously_ correct. The only reason you would want to argue this point is if you think they are being intentionally misleading, which I highly doubt you do.
For example, yesterday I was looking for a good toaster oven. The _only_ brand that gets recommended consistently is Breville, on multiple different subreddits. However, there is nothing that makes me believe their product is any better than the competitions. Mass produced in china out of cheap materials, lots of reviews stating that they break once the warranty is up, etc etc. All of the Reddit comments are also very simple. Doing due diligence as a consumer has become a nightmare.
You would probably be depressed if you knew who our customers were, and how technologically unsophisticated they are.