5 ms·

Bullshit. That's like saying one company's financial team cant assess another's finances and structure. Happens all the time.

jh0486 4y ago
Agreed. If someone has a deep enough understanding of engineering fundamentals, moving bits is moving bits. It doesn't matter what use case is sitting on top of it. Also - Let's not act like Twitter is absurdly complex. Handling that amount of traffic was hard in 2008, yes. It's not hard in 2022. The app itself is what? CRUD with stream processing? Some complexity with scaling that, but it's not self-driving... that's for damn sure. Even if they haven't reached L5 yet, L4 AV is an infinitely harder problem than storing arbitrary text/images and serving ads.
- zimpenfish 4y ago
  > L4 AV is an infinitely harder problem than storing arbitrary text/images and serving ads. It is but it's a different problem. Solving Fermat's last theorem is an infinitely harder problem than, say, speedrunning Minecraft in under 13 minutes but you won't see Sir Andrew Wiles doing the latter - because they are different skillsets. edit: No idea why I typed Simon Wiles, I know full well his name is Sir Andrew!
- trashtester 4y ago
  > Agreed. If someone has a deep enough understanding of engineering fundamentals, moving bits is moving bits. It doesn't matter what use case is sitting on top of it. VERY few developers are at this level, though. Most (>99%) are stuck in some paradigm associated with their typical tasks.
prng2021 4y ago
You don't just get a CS degree and just magically understand everything there is to know about software engineering. There are specializations just like in the medical field and many others. Tesla engineers working on AI have their own domain specific knowledge they likely spent many years to get a PhD for. The same goes for Twitter engineers working on natural language understanding AI to detect certain types of posts. By your logic there is just one broad category of AI researcher and they're all the same and have the same expertise. Scratch that.. there's just one broad category of computer engineer and they're all the same and have the same expertise. Twitter or Tesla engineers could easily do a code review of Space X's code base right?
- seniorivn 4y ago
  You might not know how to make a sophisticated ai for censorship, but looking at the code and infrastructure, you are likely to figure out where is the blackbox/political censorship is. And since it seems that Musk is going to get rid of most of censorship(or rebuild it in his favor) that's most likely what he's asked trusted engineers to look at.

jh0486 4y ago

Agreed. If someone has a deep enough understanding of engineering fundamentals, moving bits is moving bits. It doesn't matter what use case is sitting on top of it. Also - Let's not act like Twitter is absurdly complex. Handling that amount of traffic was hard in 2008, yes. It's not hard in 2022. The app itself is what? CRUD with stream processing? Some complexity with scaling that, but it's not self-driving... that's for damn sure. Even if they haven't reached L5 yet, L4 AV is an infinitely harder problem than storing arbitrary text/images and serving ads.

zimpenfish 4y ago
> L4 AV is an infinitely harder problem than storing arbitrary text/images and serving ads. It is but it's a different problem. Solving Fermat's last theorem is an infinitely harder problem than, say, speedrunning Minecraft in under 13 minutes but you won't see Sir Andrew Wiles doing the latter - because they are different skillsets. edit: No idea why I typed Simon Wiles, I know full well his name is Sir Andrew!
trashtester 4y ago
> Agreed. If someone has a deep enough understanding of engineering fundamentals, moving bits is moving bits. It doesn't matter what use case is sitting on top of it. VERY few developers are at this level, though. Most (>99%) are stuck in some paradigm associated with their typical tasks.

prng2021 4y ago

You don't just get a CS degree and just magically understand everything there is to know about software engineering. There are specializations just like in the medical field and many others. Tesla engineers working on AI have their own domain specific knowledge they likely spent many years to get a PhD for. The same goes for Twitter engineers working on natural language understanding AI to detect certain types of posts. By your logic there is just one broad category of AI researcher and they're all the same and have the same expertise. Scratch that.. there's just one broad category of computer engineer and they're all the same and have the same expertise. Twitter or Tesla engineers could easily do a code review of Space X's code base right?

seniorivn 4y ago
You might not know how to make a sophisticated ai for censorship, but looking at the code and infrastructure, you are likely to figure out where is the blackbox/political censorship is. And since it seems that Musk is going to get rid of most of censorship(or rebuild it in his favor) that's most likely what he's asked trusted engineers to look at.