Edit: this is from the perspective of a technical interviewer.
I've done around 200 or so technical interviews for mostly senior data engineering roles. I've seen every version of made up code, terrible implementation suggestion and dozens of folks with 5+ years of experience and couldn't wrote a JOIN to save their lives.
The there were a couple where the resume was obviously made up because they couldn't back up a single point and they just did not know a thing about data. They would usually talk in circles about buzzwords and Excel jaron. "They big data'd the data lake warehouse pivot hadoop in Azure Redshift." Sure, ya did, buddy.
Yes, they were "pre-screened". This was one of the BIG tech companies.
When I worked in an office, most of my team was in other offices across the world. But we had to be in the office for that TEAM BUILDING
I scrubbed the video for the better part of 40 minutes. Here's the vibe. These points bounce off each other.
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AI everything. This is aimed at investors who don't know shit about games other than it has labor cost. Nothing novel was shown or discussed other than broad strokes of concepts which we already know about.
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Sponsors and Ads everywhere. To remind us it's EA
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Creating is bad business. EA wants:
- to use AI, not artists
- fleeting interactions, not deep experiences
- sell platforms, not content
- engage algorithmically
They aspire to do to games what TikTok/Reels/Yt shorts did for video. Make it as easy to make a "game" (AI slop) as shooting a phone video. Let the algorithm bubble up addictive crap and get eyeballs on screens. Ads everywhere. Pay extra to make Iron Man a character in your 2-minute "game"
This is a nightmare and I hope they fail
Worst three weeks...
... so far
This is an advertisement packaged as "news"
Edit: thank you for those in reply who helped to "annotate" this meme
The software pictured are:
- graphene os
- new pipe
- Signal
- MPV
- libre wolf
- KeepassXC
- Aurora Store
- fdroid
- Free Tube
Bonus. tux
- Some people have mentioned it already but turning human-readable code to machine code is like turning a precise cake recipe into a cake. A decent baker can do it. Any developer can compile existing code. Going from a baked cake to a precise recipe requires a chemistry lab and a team of highly-trained scientists. Same thing for code. You'll need a highly-experienced and specialized programmer to turn a program into legible code. Its almost always easier to just rebuild from scratch.
However companies do other things as well.
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Companies sometimes purposefully compress and obfuscate their code to make it hard to unpack. This happens a lot on the web where a website might have code sent to your machine in a format which could have been legible. But before they send it to you, they run the code through a program which adds extra steps, renames things, and reorders things and removes extra spaces... all to make it hard to read.
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Some companies will encrypt their code or programs to varying degrees. Some will do it at the storage level, such as DRM or modern disk-based videogames. The data in these games is "locked" behind passwords and keys which can only work if the program "calls home" to Steam or Xbox or whatever and those providers let the game be opened. It's more complicated than this but that's the basics.
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A lot of companies have moved their code "into the cloud". That means, instead of giving you a full piece of software, you only get the front-end, or the pictures and words you see on screen. The actual program lives on the company's servers which you don' have access to. You only get to send those servers inputs, and they return outputs back to your screen.
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Companies can make their code secret from internal developers by breaking programs up into smaller pieces. Say you're a developer at Apple. You might be assigned on the specific part of the system which opens apps from the home screen and may only get access to that part of the system so if your development machine gets hacked, the hackers don't know ALL the inner workings of iOS.
I'm sure there are more ways but this is a start.
Claire helped me through the darkest parts of 2020
"...OMG they were roommates"
This is extremely typical for Amazon corporate.
They have the data because they ask (corporate) employees about their working experience constantly. I'm sure employees love the option to WFH. But they don't like the data (typical) because they spent billions building cheap, crowded, loud office space around the world.
So what do they do? They pull out the mantra, "Disagree and Commit", which is Amazon manager speak for "shut up and do what I say." Ironically, Disagree and Commit is actually "Have Backbone, Disagree and Commit" and is about finding alternative solutions or data when you think the company is doing the wrong things rather than keeping quiet.
Amazon, like most American corporations is an oligarchy and it's run terribly at the top with dire consequences for their employees, customers, and the world.