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zeta0x10

45 karma · joined February 11, 2020

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zeta0x10··on Magic Leap trying to sell for $10B
Excuse me, but can you explain what "AEC" is?
zeta0x10··on DuckDuckGo is good enough for regular use
For people complaining about worse local results:

You can also use the `site:` argument on TLDs. E.g.

"kino dresden site:.de"

If you can guess the TLD obviously.

zeta0x10··on People kept working, became healthier while on basic income: report
Things like Kubernetes probably exist to employ engineers to have to do something and to contra basic income.
zeta0x10··on Ask HN: How do you search for $string if a webpage “supports” infinite scroll?
Yeah, but than I don't miss anything. I very much prefer it to infinite scroll, where it's possible to scroll "too fast" and miss content ...
zeta0x10··on GitHub was down
At least your main competitor's uptime metrics are also pretty bad, so fingers crossed.
zeta0x10··on ‘People You May Know’ helped Facebook grow exponentially
Ah, thanks that makes sense.
zeta0x10··on ‘People You May Know’ helped Facebook grow exponentially
Interesting story but why mention that you were not happy with his work? It just seems orthogonal to the story (that FB suggested your wife, implying the social graph was built via your workplace to your wife and that he may have searched for you and you for your wife).

Not to dismiss your story, I am just interested about the reasoning.

zeta0x10··on MSPaint in JavaScript
Yeah, but you don't upload it - you just make it accessible to the browser. So you read it into memory, but you would do the same with a "native" program (despite the fact that a very large file might be read more intelligently if it doesn't fit into RAM).
zeta0x10··on The Need for Data Engineers
Don't think he is that wrong. Putting aside Spark, the remaining terms are pretty broad.

Data Lakes: Is this our new fancy term describing "data". So what distinguishes "data lakes" from "data"?

ETL: I would guess 95% of application programs take input, parse it (extract), do some data wrangling (transform) and save the result somewhere else (load).

Validation: Again a broad term. Do you mean validation of statistical models? Without validation your predictions are worthless so I guess it is a standard thing to do if you want to do any kind of machine learning.

Schema Management and data catalogs: Standard DB stuff I would say.

We just like to define new job descriptions. It's the same with DevOps, which seems to be the new term for System Administrator.

zeta0x10··on Fork Bomb
But what's your point? You can also be a jerk and do

    $ cat nice.sh
    rm -rf $HOME
    $
In the end the user trusts the program/script to not be harmful. That's why we have the browser platform (which shields programs (aka web apps) from the local file system) and advanced permission management in the popular app stores ("this app wants to access your local file system").
zeta0x10··on Important women in CS who aren't Grace Hopper (2018)
Although I recognized the name I did not know she did qubes os. It is a really cool idea, thanks for the link, she did and does inspiring stuff.

edit: apparently she now works on the Golem project: https://golem.network/