106 karma · joined March 10, 2013
[1] https://www.nsa.gov/cybersecurity-guidance [2] https://www.nsa.gov/What-We-Do/Cybersecurity/Advisories-Tech... [3] https://www.nsa.gov/what-we-do/cybersecurity/
[0] https://dataverse.org/ [1] https://dataverse.org/software-features [2] https://github.com/IQSS/dataverse
I honestly love this idea. Any suggestions on what FOSS tooling to use for said speech-to-text that's reasonably accurate? Or is training the ML the "heavy lift" of this setup?
----- [1] https://www.digitalocean.com/community/tutorials/how-to-set-...
Their $2.50/month plan fits me well as my monthly traffic across all my devices (and home) is roughly 100GB. Pair that with https://github.com/trailofbits/algo and it's a reasonable setup.
I'm going to assume this is including any stock options and other benefits? Because IIRC the software engineering profession caps out at around $200k... and that's only for the best of the best in places like SV. Please correct me if I'm wrong. I'd love to be honestly haha.
// TODO: Find out a better way to do this
do.this(true)
Now please correct me if I'm wrong but basically it comes down to this: if I were the hiring manager I wouldn't focus so much on the number of years the dev has but rather if that dev "still has it" (if they're older/more experienced). By "still has it" I mean a genuine passion for writing solid code and being humble enough to know when they're wrong and changing their behavior. If it's a younger dev maybe it's best to focus on trying to determine if they have a genuine interest in becoming a better programmer and a real thirst for knowledge/love to learn (in-line with the article). My only gripe with the latter point are how some of these companies are filtering but that's entirely their choice.