tuchsen
If you run the numbers it’s clear that DoorDash targets 18 an hour to pay folks, but pushes it up to time and a half when it’s busy, so 27 during the holidays. Thing is, you can force them to pay a little more than double when it’s really busy and get 40 an hour from them. People work really hard to hit those numbers regardless of the quality of service they provide in the end.
For instance, I can randomly be 20 minutes late to an order one day and the next that’s a contract violation, three of those and they might fire you, depending on how many drivers they have available at the time. But if you can be twenty minutes late to an order you can do Uber Eats at the same time, you do that for an hour and by law in California the minimum you can make is 46 bucks in SF.
Alright that was all really anecdotal evidence to say that most experienced drivers are probably making more than 20 an hour, the shit service you receive is also directly incentivized by the platforms adversarial relationship with the drivers.
The whole thing just really doesn’t work. They must really banking on the autonomous delivery robots to work out.
The mess of different implementations makes it really hard to hack on and share this kinda stuff.
AI does make it really easy to figure out these protocols now so that’s nice I guess. I just flipped my bike upside down and hooked up a logic analyzer and it took LLM no time to figure it out… it is really impressive
Of the two others, one was a scooter operator striking and elderly person, and then the other was an elderly person on a mobility device swerving out of the way of pedestrians crossing against the light. Zero bus accidents involving pedestrian fatalities.
I believe that their was one bus fatality this year, but of 12 total, I haven't looked up the causes of those accidents yet but I'd guess that the majority of them are going to be caused by drivers as well.
I think pretty much everyone agrees though that peoples habits have just changed with work from home. The cost of having to wait on an employee has been externalized to people shopping for a living in batch orders, and those people don't mind waiting given that we're only paid for minutes that we're actively on an order (Prop 22).
So yeah, retails not completely dead, just serves a different audience now.
Talking to people really does help though, everyone wants to be more forgiving when you remind them theirs a human factor involved in getting the food to them.
I am super grateful people are starting to work on open source solutions to this stuff :).
I'm going to check out you're browser thing later tonight, it looks good!
Fortunately though, they had kept special ed programs at other schools nearby and he got transferred pretty quickly for being a severe case. It was my understanding that our school district backpedaled and reinstated special ed, but maybe that's not the case? I thought that it was just a crazy liberal California thing, but is this cancelling of special ed a more widespread phenomena? Why the hell is that happening?
Lemmy's the same way for me, hate the UI on the desktop but it's fine on my phone.
Our computers are all still connected, web browser and web servers exist. With software like Lemmy, it's become super easy to stand up a place for people to connect. People that like Civilization will find each other without Reddit.
My X, Y, and Z formula for Reddit over the last couple of years has been to ignore the larger communities and focus only on interesting niche content. I think that's how a lot of other people use it, for the long tail of actually interesting content. And hell, I don't think you need the massive network effects of the larger social networks to make that work.
Also if you look at the "/instances" list on a Lemmy instance they at least federate with Mastadon (as well as Kbin) instances, although I've not seen that exposed in the interface at all.
It's only a matter of time before someone comes along and make an easy client that integrates multiple instances together into a seamless experience.
If you're scraping Youtube and relying on that index I guess it makes sense that I can't find my niche Youtubers (try "TattooedTraveller"). I don't know how much of an outlier I am in preferring smaller channels, but I would have appreciated a way to add a channel manually. I know that's a big ask though, and hell, don't waste your time on me I've got my own thing anyways :P.
I've got a couple of minor bugs to report. The first (very small) bug is that I couldn't sign up with the email address of "accounts (at) lurk.news" because it says that it's invalid. The second bigger issue is that your YouTube search seems to be down? I tried some niche youtubers at first and then just searched for "mr beast" as a sanity check and it doesn't find him.
Are you using the services official API's to find and display content? For Lurk, I wrote an Electron app that opens up websites in the background and then parses the HTML to query for data, then presents that to the user as a unified feed. I figure with it all happening on each client device it'll be very hard for any given website to block it, and that way I can expose an extensions mechanism so that people can scrape whatever they want to get a unified feed of data.
In a lot of cases (like my given example) the faking it is all I need. The only thing I needed to know about that JS syntax highlighting library was how to import it, the LLM handled the rest.
It saved me a ton of time! I don't think anyone is claiming that ChatGPT is going to immediately replace programmers anymore, but it is increasing the speed at which I can grind through problems I don't have deep knowledge in.
I wonder if these disagreements in ChatGPT's usefulness come down to peoples programming domains. I can see how if you're very knowledgeable and productive in a particular space, like say embedded C programming, and that's the only code you ever write, then ChatGPT doesn't have a lot to offer, because you already know everything you need to know to be effective.
ChatGPT's nice for exploratory programming, it makes me a more creative person, in the literal sense that I'm creating more stuff now then I ever have.
As a weekend project I did a DSL for helping to interact with LLM's called Prompt (prlang.com), kinda like an declarative LangChain. The language is unimportant, what is important is that syntax highlighting is just one of those things that people expect a language to have now, and every editor wants to do it differently. Figuring out syntax highlighting is one of those super tedious things that makes writing a DSL very boring. ChatGPT4 is very good at translating from one language to another though, and so I could use it to help me write the vim syntax file (I don't know VimScript at all) and then translate it to other editors as necessary.
To get specific, it helped me write this vimscript file:
https://github.com/PromptProgrammingLanguage/prompt/blob/mas...
and then with almost no editing from me turned it into another syntax highlighting file (for hljs) that's used on the website.
https://github.com/PromptProgrammingLanguage/PromptProgrammi...
I don't know how long that would have taken me to figure out on my own, but diving into VimScripts docs, and then the HL.js docs, and fully reading and comprehending them would have been a total slog. Doing it with ChatGPT4, I could keep open the docs for Vim, ask it questions about how to do something, then quickly reference the docs to cross check if it was telling the truth, write, and then test the syntax in a very quick loop. Then the process of translating what I had to another library was incredibly fast, if I recall it misplaced one line while translating, which was thankfully obvious, and that was it. I didn't read the docs for hl.js at all.
ChatGPT is definitely better at some tasks than others. Anything that takes shallow knowledge of your specific code base, but broad knowledge of the wider languages ecosystem, is a good fit for it's use.
I could give a more impressive example of where it helped me tackle a super specific bug in my code that had to do with the wider Rust ecosystems libraries, it really blew me away with that one, but the above was easier to document. You wanted specific though, so there ya go :).
And of course ChatGPT4 is leagues ahead of ChatGPT3.5, so if you're not getting good results you really want to pay for the better model.
This is weird to mention, but we have "developing niche file managers" in common. I just finished the first preview release of Aerome (aerome.net), it's going to grow into a cross platform file manager that uses AI to help manage your files. So nothing like your thing, but kinda like your thing.
Anyways, nice work on the file manager, I'm looking forward to trying it out.
Not to shill, but I'm also doing a GUI version of this as a file manager (aerome.net), with a built in ChatGPT "shell" where you ask it to write scripts and then evaluate them. The goal's to make shell scripting accessible to non developers.
I hate to be the LLM guy but they're really good at processing semi-structured data to structured data. You could go that route and have a universal autocomplete for the CLI. Kinda like Co-Pilot for Bash, or you could use it to do what the parent's doing and have a universal TUI program for building commands.