You cannot just eye ball a part and say is "high quality"

When the worm makes someone's machine start to sound like a leaf blower, you are found out.

You can't get an edge using local models, these guys may have competitors that will spend on SOTA models. They won't likely ever consider local machines even for some offloading scenarios, the complexity and costs will be even higher.

Consider rewiring your perspective: getting an edge doesn't really matter; the only thing that matters is will customers pay for this? Is this a useful, valuable problem to solve?

Coding faster doesn't really solve that.

Uber makes more money if people buy more rides, order more food, have some breakthrough in autonomous driving. They can save money if they can optimize some ops or spend somewhere. Is there any evidence that with the spend on AI that they achieved any of this? If they did, I'm sure we'd hear about it in some engineering blog.

probably not high enough risk to consider one on their list. First you need someone to be physically in there, 2nd the person needs to have a USB speaker connected, which means is likely a home. 3rd if it's a restaurant or something you need the thing to not play anything first with a lot of restaurant noise

> First you need someone to be physically in there

Bluetooth works fine through walls.

First, you need a skiddie neighbor who knows about your speaker and has an AI agent that can read this article, 2nd...

AI seem hard to go bust from the potential, but there is a point where it always can if numbers grow just right.

At some point, they need a new system for these "packages", you've got to be insane to install any of these right now.

When I see front end slop, I see that italic large looking font they all use. You all know which

Another hand waver saying “AI will replace all humans”. Is as much a theory as saying if the earth turns 3000c hot, everything will perish, and I don’t dispute that in a few billion years.

The problem with the theory is there are vast variables and unknowns in the timeline that matters, but they are just saying it will come very soon. The how is a simple “If AI replaced all cognitive work” which sounds exactly same as “If earth becomes 5000F hot”.

Is the same lazy posit they all make.

Most interviews are just referrals then confirming the bias, even if you fail some questions, you are likely in. If you came from no where, they are not gonna like you unless you get all the questions right.

If you want to know if someone is good at your company in 3-4 interviews, it’s tough, the best they can do is ask these technical questions. Talk to you about your past work, ask you technical what ifs. Most dumb ass companies will ask you to do trick coding leet code crap.

This is well known