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fnbr
searching PlanetScale…
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17 ms
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151.
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fnbr
6y ago
Upton Sinclair got this right almost 100 years ago- “It is difficult to get a man to understand something, when his [RSUs depend] on his not understanding it.” Of course, I also work at a FAANG, so people in glass houses and all that...
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fnbr
6y ago
Oh, definitely. I lived in university accommodations that were awful. The residents the year after me sued the university as the residence wasn’t inhabitable (black mold).
153.
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fnbr
6y ago
Yeah, I find that people spend the least amount of money on insulation/heat that they can. I’m from Edmonton, and the coldest I’ve ever been was the winter when I lived in London, UK, as their insulation sucks and their heating sucks.
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fnbr
6y ago
Damn, those numbers are wild. In Canada, my insurance company won’t provide less than $1m liability insurance, and the gov’t requires a minimum of $200k in coverage.
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fnbr
6y ago
I found that to be the case with all of Chouinard’s books, especially “Let my people go surfing.” Tons of lightly veiled corporate propaganda.
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fnbr
6y ago
Possibly a dumb question, but how do I get that link from the Pinterest one?
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fnbr
6y ago
I’mfrom Alberta. My favorite party trick when talking to non-native Albertans is to pull up the “world rat population” map: https://www.pinterest.ca/pin/657947826782505650/ I have no idea how accurate it is, of co
158.
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fnbr
6y ago
I think it’s a mix, where some are, and some aren’t. I’d be _very_ surprised to see a L6 making $1M/year.
159.
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fnbr
6y ago
Yes, they do. It’s typically slightly less than what you get initially, although that can vary depending on your performance.
160.
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fnbr
6y ago
I am a DL researcher at a top industry lab. I'm completely unsurprised by this. Regularly, at lunch, I'll ask my coworkers if they know of any DL applications that are making O($billions), and no one knows any outside of FAANG. FA
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fnbr
6y ago
They don't allow Kindle purchases in the Amazon app on iOS, maybe this is why? See: https://www.amazon.ca/gp/help/customer/display.html?nodeId=G...
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fnbr
6y ago
Unfortunately, this isn’t true in Canada. MDY is very common, especially in the English parts. See: https://en.m.wikipedia.org/wiki/Date_format_by_country
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fnbr
6y ago
Also, you typically save a few hundred bucks on your insurance by having monitored alarms, so it pays for itself.
164.
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fnbr
6y ago
For me, I use 20g of coffee, ground to a 20 on a Baratza Virtuoso, with a 275mL of water in a French press, brewed with boiling water for 4 minutes. If you change any of these variables- grind size, water temperature/volume, amount of
165.
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fnbr
6y ago
They’re really useful (and arguably state of the art) in situations with small amounts of data. Deep learning is really hard to productionize, so classical techniques like SVMs and random forests are widely used in production. Deep learning
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fnbr
6y ago
Yes, exactly. I've learned much more in the last two years working at a big tech co than I did at a small software company in the midwest, making me a much stronger engineer.
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fnbr
6y ago
> I'd guess that the people worth $600,000 Facebook salaries are already living there and working for Facebook. Yes! I think this is true. However, the more interesting development to me is what happens 10 years from now. The engine
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fnbr
6y ago
Good on you for doing this- I think the apology is great and shows TripleByte listens to feedback. I also think that taking on LinkedIn could be amazing for the broader ecosystem- LinkedIn is terrible, and anything competing against them wo
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fnbr
6y ago
It’s mostly an issue that A2C isn’t designed for adversarial environments. It also doesn’t have any notion of hidden information, while other algorithms (eg CFR) explicitly handle this. There’s a well-known phenomena of cycling, where agent
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fnbr
6y ago
An additional problem with this is that they use A3C here for trading. A3C is known to not be suitable for adversarial environments (e.g. board games, like Chess). I wrote a paper that demonstrated that A3C is as exploitable as a uniform ra
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fnbr
6y ago
Yeah, absolutely. Now, the high end is fantastic, but the average meal was _not good_.
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fnbr
6y ago
I agree completely. Doing novel things with ML is very, very, very hard, and (afaict) hasn’t been particularly successful at the startup level. But operatonalizing existing techniques is _very_ promising, and where I think a lot of the wins
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fnbr
7y ago
I largely agree with what you're saying. The only point I disagree with is 3. That's the exact same logic I used to make a large investment on March 6th. If I had time-averaged the investing, I would have saved a ton of money. The
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fnbr
7y ago
This is exactly the right answer. Broad based index funds, invested over time. You could also consider a 70/20/10 portfolio of S&P 500, international equities, and bonds.
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fnbr
7y ago
Can you link to the tweet stream?
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fnbr
7y ago
In general, no. The highest performance software only runs on Nvidia GPUs (or internal hardware, like Google’s TPUs).
177.
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fnbr
7y ago
Why isn’t this view shared by Alphabet?
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fnbr
7y ago
That's high, but not crazy high. A Staff Engineer at a FAANG can make ~$500k. See: https://www.levels.fyi/# (L6 at Google, for instance.) I know engineers in Canada who are making similar amounts. There's not a lo
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fnbr
7y ago
I worked with a team which used raw pointers instead of unique_ptr as they use more memory (twice as much, I think). The core data structure was a tree, and the tree was several hundred GB in size. So they were doing whatever they could to
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fnbr
7y ago
They’re not paying them that much- $160 000 over four years, including tuition. So it’s $40 000 a year, which is a great deal imo (for both parties). I assume that, with sufficient screening, you can get someone contributing relatively qu
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