VibeSurgeon

Are there even any stats on phone scammers doing this?

I don’t necessarily know about stats. As I understand it, there is some governmental pressure to address the situation, hence why the program is being rolled out in specific markets before the global rollout.

I wouldn’t be surprised if there were more malicious google play store apps than apps from 3rd party places trying to do this sort of attack.

Probably, given that the overwhelming majority of installs happening through the Play Store. Google have some control in this surface though - they can unlist malicious apps and close down their developer accounts. Potentially even take legal action, given that developer accounts require ID these days.

If anything scammers would just get people to plug their phone into their computers.

If a scammer manages to coach someone to install adb, then I’m impressed.

adb-installs are explicitly allowed to skip the 24 hour wait limit.

This thing is nominally there to shut down phone scammers - people who are technically fluent enough to install adb are very unlikely to be susceptible to them.

I mean, that’s gotta be grounds for termination if anything

It’s a really dumb way to frame what the OpenAI people actually said on this - they are saying that the people applying to them want to know how many tokens they can use as a tool to accomplish the job they are applying for. There’s a fundamental difference to compensation here to compensation, where tokens as compensation would be how many tokens the people applying for the job would be able to utilize for their own purposes, whatever they may be.

To illustrate - I would probably be reluctant to work for a company which would not be willing to spend the amount of money that would get me a more or less top of the line computer with which to perform my job. Not because I consider my company-provided development machine as a part of my compensation - it is merely a tool I use for my job.

The people applying for these jobs are the kinds of people who think that burning an exorbitant amount of tokens will make them quite significantly more productive, so the metaphor of having the best tools available to accomplish the task at hand extends here, in accordance with their belief system.

There’s then the quote from the VC ghouls, but I don’t think anyone could accuse them of being competent to any significant degree, so their quotes are most appropriately used as toilet paper.

Sure, but that can be said about almost anything.

Still, I’d be surprised if they went the route of embedding ads into the stream, in part because of measurability/skipability/etc. It’s definitely not out of the question, but I think we’re still ways to go before we get there.

And even then, tools like yt-dlp would probably be able to apply some heuristics to figure out which segments are foreign to the stream and slice them out that way. Blocking yt-dlp would require DRM, which in turn requires changing the transcoding pipeline in a pretty non-trivial way. I also doubt they would willingly go this route.

That would mean reencodingevery video for every user and would need an insane amount of computing power.

You actually don’t have to, on account of how adaptive video streaming works. It’s fully possible to serve a few segments of ad content mid-stream.

This is my understanding as well, yeah.

Those will not block YT ads.

This is correct

but YouTube ads are delivered directly into the video stream.

This is false

While this is bad, I’m using the Pixel Weather app, which doesn’t seem to be affected by this change?

Seems particularly high in levels of snake oil to be honest

Mexico has breakfast tacos at home, they’re called Tacos de Canasta

Spotify and Major Music Labels

RTOs are most often a “one free layoff”-card that businesses play, so firing someone for criticizing it is very much in line with the underlying intent of the policy.

Complete hands-off no-review no-technical experience vibe coding is obviously snake oil, yeah.

This is a pretty large problem when it comes to learning about LLM-based tooling: lots of noise, very little signal.

So far, there is serious cognitive step needed that LLM just can’t do to get productive. They can output code but they don’t understand what’s going on. They don’t grasp architecture. Large projects don’t fit on their token window.

There’s a remarkably effective solution for this, that helps both humans and models alike - write documentation.

It’s actually kind of funny how the LLM wave has sparked a renaissance of high-quality documentation. Who would have thought?

You can tag a mastodon user in a Lemmy/Piefed-post.

The caveat being that their server has to be connected to your server.

You can’t choose another server to log in. Think about it as email - if you are using Gmail, you can’t log in to your email using Hotmail. You can write emails to users with Hotmail, but the login only works for your own email provider.

good benefits and perks.

Didn’t they literally just introduce free coffee at the office post-pandemic?

Not to say that I would willingly choose to work at Amazon, but I do know the reason. It’s documented here: https://www.levels.fyi/companies/amazon/salaries/software-engineer