rafiki6

19 ms·

121.
by rafiki6 6y ago
I did one for about 6 months. It flamed out hard. My co founders and I parted ways. We had no idea what we were doing and it showed. Had we persisted we might have succeeded, but honestly who knows or cares. You have to ask yourself what it
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by rafiki6 6y ago
Doing a startup takes luck. So much luck. Luck of birth, luck of everything going right, luck of meeting co founders, luck of circumstances being right to allow you to take risk. It's mostly just luck.
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by rafiki6 6y ago
I'm very much in the same situation. I also recently finished a MSc in Data Science with the hopes that I can make a career switch into something a bit more exploratory, but that isn't really happening and then COVID happened. But
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by rafiki6 6y ago
That's a very interesting definition of a tech company and I think I have to agree with it, although I've always been very much "tech companies build tech". The reality is the companies at the top right now all have EXCE
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Ask HN: How to Improve at Coding Interviews
4 points by rafiki6 6y ago|0 comments
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by rafiki6 6y ago
Well a Swiss judge seems to disagree. https://twitter.com/JaneLytv/status/1265619406941499392
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by rafiki6 6y ago
The Soviet Union didn't fall apart because of a low standard of living. There were many other geopolitical factors at play but the big one was just an inept government that declined with every new leader. Once you dismantle the cult of
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by rafiki6 6y ago
If you're a tenure track professor today in a STEM field today, you're likely incredibly lucky or privileged as well as being smart. Most people don't want to play the odds and that's absolutely fair. Even a career as re
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by rafiki6 6y ago
None of those "innovations" in ML have actually translated to successful real world use cases that aren't basically ads as of yet. And no, talking to Google or Alexa doesn't count. That's just yet another data colle
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by rafiki6 7y ago
I've read so much amateur and professional analysis on what's happening. The one common thing I realized is it's all entirely speculative and offers little to no empiricism (stats aren't empirical evidence, they're
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by rafiki6 7y ago
I feel similarly as the author but I'm starting to take a more balanced approach to all of this and it's helping me put things into perspective. I'll play the game because I'm not sure what other choice I have. I don&#x2
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by rafiki6 7y ago
I'm guessing you're being downvoted because your response hasn't offered anything terribly constructive to the conversation, but I have to actually commend your attitude as I have reached a similar mentality. I am Leetcoding,
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by rafiki6 7y ago
Perfect example of why understanding your domain is so critical to analytics. There are some key assumptions that need to be made before any thing is explored. Love it.
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by rafiki6 7y ago
Liability. Professional engineers are liable for the work they produce and approve. They get a fancy stamp and liability insurance and can be sued when things go wrong. That's why engineers tend to be those who work on things that can
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by rafiki6 7y ago
I like that you mentioned they're a de facto utility. Utilities tend to also be natural monopolies. They usually tend to be government owned and operate at arms length. They also tend to be heavily heavily regulated.
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by rafiki6 7y ago
Frankly I have the same criticism of those who use the term software engineer. Engineering is a pretty established profession with a set of standards, ethics and practices. Most of us who work in software are not engineers. We are developer
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by rafiki6 7y ago
If I may ask, what were you told when you interviewed that convinced you to join?
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by rafiki6 7y ago
Is it really that bad if some airlines fail? That whole industry really needs to be restarted IMO. Their assets would be purchased at a major discount by others who would likely create new airlines, or you might potentially see the healthie
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by rafiki6 7y ago
I've seen a few similar articles now. Does this represent the general view of folks working in data science? "Data Science" is such as meaningless catch all term. The reality is in many organizations it's simply advanced
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by rafiki6 7y ago
I'm curious what you would be looking for in that data. Growth rate is relative. So my view of it is if a programming language has 100,000 users but another one has 10,000 users, a 2% reduction of users in one is a lot more meaningful
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by rafiki6 7y ago
I appreciate Franklin's thought here. Unfortunately those of us being rational are subject to the whims of others :(
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by rafiki6 7y ago
I read that statnews article. Nothing in there actually indicates that young and HEALTHY people are at a high risk. What it does say is that 2-4% of the 20-44 age group needed ICU treatment. No indication is made to the risk profile or prev
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by rafiki6 7y ago
I haven't seen any young and HEALTHY folks needing ICU care. Can you share any cases? Or any stats indicating this is the case?
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by rafiki6 7y ago
The argument being made is about industrial use. Outside of electronics which have such little gold that it's not even worth the chemicals to extract it back out, Gold really doesn't have much use industrially. It's use as a
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by rafiki6 7y ago
best time to do something like this too
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by rafiki6 7y ago
Like you rightly said, this is a gamble. You're playing against volatility we haven't seen in almost 40 years. Look at VIX. You would likely burn yourself, especially as an amateur. If you want to play this game, there is room for
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by rafiki6 7y ago
This exactly. Another important point, those who are most likely to succumb to an infection are also those who put the largest strain on public healthcare systems. Please note, I want our older relatives to remain alive and healthy for as l
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by rafiki6 7y ago
I thought these circuit breakers actually existed to stop algo's from going haywire?
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by rafiki6 7y ago
Offshoring has been tried and only succeeds under very specific circumstances and with very specific conditions. For one, not all engineering talent is created equal. You'd be surprised at how important language and culture are to succ
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by rafiki6 7y ago
Elizabeth was doing a degree in a hard field and had the credibility of her supervisor to lean on, plus a whole host of questionable motivations from those who invested in Theranos. Funny enough, the degreeless founder in a hard startup tur

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