I have a recording I've been sitting on for 2 years(a guest lecture which a friend recorded) which contains a very heavy amount of background noise, where you can just barely make out what is being said by the lecturer. I wonder if there is any hope I will ever be able to read a transcript from it.
I can figure out what the lecturer is saying (maybe only because I have some context about what he is talking about), but it is too painful to sit through 2 hours of it and try to transcribe it.
I tried uploading the audio file to this service, but basically get nothing useful returned to me.
1. Develop a strong network
2. Keep an updated career document with a list of your accomplishments in STAR format
3. Keep your skill set in line with the market
4. Live below your means and keep a cash cushion
5. Don’t be a “ticker taker” work on having projects with scope where you can talk about things “you led” or “you designed”
Now worse case, you can find another job quickly. I was PIPed from AWS last year and found another job within three weeks because I was prepared. I also lived enough below my means where I didn’t need “FAANG money” to be comfortable.
On the other hand, you need to know how to talk about trade offs within the holy trinity of any project - on time, on budget and meets requirements. When one changes, the others have to change.
The STAR format is a structured manner of responding to a behavioral-based interview question by discussing the specific situation, task, action, and result of the situation you are describing. Here's what each component stands for:
1. *Situation*: Set the context for your story. Describe the event or situation that you were in. This could be from a previous job, from a volunteer experience, or any relevant event.
2. *Task*: After describing the situation, you talk about the actual task or challenge that was involved. This is the problem or issue that you were confronted with.
3. *Action*: Explain the actions you took to address the situation or task. This should be a detailed account of how you tackled the problem.
4. *Result*: Share the outcomes or results of the actions you took. Ideally, this should be a positive outcome that demonstrates how you effectively handled the situation.
Using the STAR format in a career document helps to clearly and effectively convey your accomplishments in a way that highlights your problem-solving and task management skills.
Please don’t take this as a wholehearted endorsement of Apple’s policy here, but I do sort of get it. In my experience, doing collaborative creative work is dramatically more difficult in a remote environment. In person we can quickly sketch diagrams and wireframes out on a whiteboard or paper and having a six person debate about designs is easy. Remotely, you have to deal with virtual whiteboard software (and as much as I love figjam, it can’t compare to the speed of a physical pen) and video chat (where even a tiny amount of latency results in people talking over each other). I’m sure remote works well for some creative teams… but in my experience, it is much harder (I’ve spoken to peers at other companies who feel the same way). If Apple thinks that collaboration and idea creation are core to innovation, I can see why they want people back in the office.
Not saying I agree with their methods though - personally I would have gone for a softer touch and a more tailored-by-team approach.
Sorry but I had to nitpick here. This is exactly how science works. We first observe things that we cannot explain, and we can definitely infer causation without a complete mechanism or even a proper theory for it.
computation is boolean algebra.
-> therefore, doing math is to think.
I'm not trying to be pedantic, I just don't think using intuitive associations with words helps clarifying things. If your definition for thought diverges here, please try to specify how exactly: what is thought, then? Semi-autonomous "pondering"? Because the closer I look at it, that, too, becomes boolean algebra, calling eval() on some semantic construct, which boils down to symbolic logic.
What you may mean is that "neural" networks are performing statistics instead of algebra, but that's not what the article is about, is it?