Dr Alexander Mikhalev AlexMikhalev

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't really have SREs and they make engineers pretty much do everything,

	#![allow(unused)] // silence unused warnings while exploring (to comment out)

	use std::{error::Error, str};

	use s3::bucket::Bucket;
	use s3::creds::Credentials;
	use s3::region::Region;
	use s3::BucketConfiguration;

	// Youtube Walkthrough - https://youtu.be/uQKBW8ZgYB8

	import requests
	from datetime import datetime
	import time

	import os

	github_token = os.getenv('GITHUB_TOKEN')

	real_requests_post = requests.post
	def wrap_requests_post(args, *kwargs):

	# github生成的两把钥匙
	client_id = 'e3a53e8921975c37fe3d'
	client_secret = '739a252f5022855aadcc832a2facd86b1b836ef6'
	from flask import Flask, \
	redirect, \
	jsonify
	from furl import furl
	import requests
	import json
	from flask import request

	config:
	aws:region: us-east-2
	my-project:HASURA_GRAPHQL_DATABASE_URL:
	secure: <snipped>

	import requests
	import json

	db = 'pmc'
	domain = 'https://www.ncbi.nlm.nih.gov/entrez/eutils'
	nresults = 4
	query = "depression"
	retmode='json'

	# standard query

	processor : 0
	vendor_id : GenuineIntel
	cpu family : 6
	model : 151
	model name : 12th Gen Intel(R) Core(TM) i9-12900K
	stepping : 2
	microcode : 0x18
	cpu MHz : 4899.942
	cache size : 30720 KB
	physical id : 0

	(venv_the_pattern) ➜ qasearch git:(benchmark) ✗ python3 transformers_plain_bert_qa.py
	[101, 2040, 10438, 13434, 6726, 2426, 6001, 1029, 102, 2019, 17727, 2098, 14428, 3372, 2000, 2925, 2913, 1997, 10519, 6726, 1997, 16464, 15245, 2003, 1996, 3768, 1997, 2511, 4725, 2005, 1996, 10788, 1997, 10519, 16464, 12702, 21759, 7088, 19230, 6413, 2005, 4958, 5178, 4328, 10091, 2913, 102]
	airborne transmission of respiratory infections is the lack of established methods for the detection of airborne respiratory microorganisms
	10.494894326999999 seconds
	(venv_the_pattern) ➜ qasearch git:(benchmark) ✗ redis-benchmark -p 30003 -h 127.0.0.1 -n 10 get "bertqa{8YG}_PMC302072.xml:{8YG}:10_Who performs viral transmission among adults"

	get bertqa{8YG}_PMC302072.xml:{8YG}:10_Who performs viral transmission among aduget bertqa{8YG}_PMC302072.xml:{8YG}:10_Who performs viral transmission among aduget bertqa{8YG}_PMC302072.xml:{8YG}:10_Who performs viral transmission among aduget bertqa{8YG}_PMC302072.xml:{8YG}:10_Who performs vira

	fn main() {
	let show = CustomMenuItem::new("show".to_string(), "Show");
	let hide = CustomMenuItem::new("hide".to_string(), "Hide");
	let quit = CustomMenuItem::new("quit".to_string(), "Quit");

	let tray_menu_items = vec![
	SystemTrayMenuItem::Custom(show),
	SystemTrayMenuItem::Custom(hide),
	SystemTrayMenuItem::Separator,
	SystemTrayMenuItem::Custom(quit),

Dr Alexander Mikhalev AlexMikhalev

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