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Whatsapp has been audited several times, and to say that an engineer at meta “has been lied to” is laughable given he/she has access to the entire codebase

Source: also worked at meta and had full access to WhatsApps codebase, like most engineers at meta


Do you seriously believe nobody in the non English speaking world can write code?


for example, if they need to create a class or a function, how do they name it ? I live in the non English speaking world, I had to learn a minimum of English to be able understand, reason about and write code.


[dead]


I've had multiple coworkers remove comments or reject CRs because there were too many comments. If you foster a culture where comments are discouraged then it's less of an impediment


I mean you still have to comment on issues, and even within the code itself you need to name things in ways that make sense to others.

It's not that English specifically is required to do this, but if the organization is American it does seem like English would be the default and proficiency would be pretty important.


> there were too many comments

I didn't even knew this was a thing. I write tons of comments thinking they could be appreciated in case somebody has to glance at the code.


Is that a culture you want to foster, though?


I can say that I didn't agree with it. But that's what lead devs were pushing. The common mentality among devs is that releasing is more important than building something sustainable.


Here's a (kinda) ELI5: you would use a language model to create "embeddings" of the text, which you can think of as a set of numbers representing the "meaning" of a set of characters.

These numbers can be plotted as points in a space, and embeddings of things with similar meanings are plotted close to each other. So things like "exam preparation" would have embeddings close to things like "top study tips".

Say you have created embeddings for a large corpus of text (in this case all youtube captions) once. If you create embeddings for a user query, you can search for embeddings close to it, and these will be "semantically" similar to the query.

The advantage is that unlike traditional full-text search, the user doesn't need a query that includes words present in the text.


Do you have any resources that might guide one on doing something like this from scratch?



Here's a 6 minute speed run of something like that on weviate https://youtu.be/mBcBoGhFndY




TikTok’s audio is on by default


You’re making an error here with your user estimations - you’re using steam as a way of tracking users, and while the quest 2 is also the most popular headset on steam, most users with a quest do not have a gaming pc, and primarily play games stand-alone


They do, I got my current FAANG role from a reach out a year after I applied, and another FAANG company has been sending me emails for over 2 years now asking if I'd like to interview with them again.


when was this? I'm pretty sure facebook explicitly mention this in their preparation email now.


Last October.


she's quite popular on tech twitter, and was/is followed by a lot of stripes c suite - musk was an initial investor in stripe


Also seems like a good place to plug two posts from insiders who say "the billion dollar code" was bullshit:

https://avibarzeev.medium.com/was-google-earth-stolen-7d1b82...

https://johnmccrea.medium.com/why-the-billion-dollar-code-is...


You can fix the delay for which key using by modifying the following variable:

(setq which-key-idle-delay 0.1)


Just did this and it sure works.


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