This is very roundabout and only 1/4 serious... but you could maybe even earn some pocket change becoming a cam-person. Stream with device, with the app backgrounded, and watch the stream from your web browser. There is always a built in delay of a few seconds, and you can make money/get internet bullied.

-9

I typed all this up for someone who posted a.... very strangely written question regarding something they noticed with AI, but it appears to be deleted/removed.... and, well, I wanna know if I got their question rephrased in a less... difficult to understand format. And then the answer to said question, because I find it interesting as well.

What I typed in response:

After parsing the insanity that is your writing style and... English as a second language? Allow me to confirm and summarize, because I find this question fascinating.

You've come across a LLM trend associated with said LLM being given instruction to describe/pretend to be a human named Delilah. LLM's have gone viral at times for being instructed to formulate their output to sound like famous people with what appears to be resonable accuracy. But what goes into that ability is human words previously written associated with that person (or rather, their full name/titles/etc), as well as purposful restrictions given to the LLM directly (like, don't output the N word).

Another lesser/totally unquantifiable factor in the output's "tone" is result of errors in the blackbox algorithm that associates the "words" (not truly words I know, but essentially) in ways that aren't what you'd expect.

(Here's where my slight confusion mostly is) Each of these "factors" associated with the tone of the output... you've given names to? Or maybe my entirely self-researched knowledge has missed an agreed-upon naming system for these "characters"? I'm not quite sure.

And now your question and qualifers : Is there a pop culture/historic person or character named Delilah who is associated with furry stuff? Because you have been looking at some of the interesting mistaken/innacurate tones adopted by a LLM, and you've noticed that asl the LLM to output as if it was Delilah, and the results are furry related. And typically this sort of issue is mostly due to overlapping/similar names in the model's training (as well as much stranger links without any explanation as to how they formed). And you're research on "Delilah" hasn't turned up anything giving reason for the LLM's furry related output

.... is that more or less what you are saying?

[-] KillingAndKindess@lemmy.blahaj.zone 44 points 1 week ago* (last edited 1 week ago)

Executives report that they have finally finished the number crunching that has been the topic of discussion for weeks now regarding the new budget changes. One board member told us "The nerds in accounting kept complaining about how many expense reports we've been sending lately. After looking into it, we've found a rapid uptick in hitman related expenditure." Confirming recent suspicions that vendors did take note of the recent demand increases and decided on a market adjustment industry-wide. Our source did not confirm that these new layoffs were due to the investigation results, but inside rumor is saying that's the case.

Its not election strategy at all, this prep for a coup attempt. He knows he's lost, and now he's whistling off the back porch prepping his dogs to dowhat he is too dumb and fat to do on his own.

Cause gutting doublebucks is the plan

Obviously any and all outside support for either is completely due to complex and additional ulterior motives.... but even knowing that, I'm sick of my taxes being used like they are and I find myself in agreement with this fucker....

What moment did we stray from a reasonable timeline

Perpetuated by an education problem

As a full time delivery,driver completely reliant on this to survive as I live in my car, but in another state, allow me to share some tips. (I do not take responsibility for your actions or the results.

  1. Unless you have near-perfect overlap of your zones/active areas across multiple platforms, do not waste your main time (2 hrs on either side of a common meal time) trying to multi-app.

  2. If you are choosing the cherrypick method of offer acceptance: Get to know the specific flow of high value orders during high order quantity times. Your acceptance rate, and therefore your average offers, obviously suffer with this method. Accept that as a fact and ensure that you're still the nearest/fastest/best driver. Attempting to maintain a nearly-next-tier acceptance rating is useless. (Example: Doordash does not officially take issue with drivers for acceptance rates except in outlier cases. You may be hovering around 10-30% and thats how cherrypicking works.)

  3. If your customer has added anything into the details other than the default instructions,it is worth it to contact your customer directly with a more accurate and personal ETA upon leaving with their order. The same for when there is any sort of a wait. Yes the app sometimes notifies them automatically, but I've never had a complaint for doing this and you can automate a large chunk of this with Android phones, idk about iPhones. But I have seen a.noticible increase in likelihood of additional tips from being more specifically informative than the app is.

  4. If you find yourself with a pain in the ass order to a shitty low/no tipper, and you find yourself frustrated that this won't even pay for your own meal.... then snap your blurry-as-hell photo as you drive by and go on your way with your meal that DeliveryCo.s investors just paid for. Seriously. I have over 5k deliveries across 3 apps, and I have had 2 strikes ever, both of which were removed after I disputed them.

look, the Customer gets their money back, and the very same number you call to attempt to get some help when an order goes to shit only to wait on hold for someone who is also underpaid as fuck to do exactly fuck-all to help IS THE SAME ONE THE CUSTOMER GETS. They are incentivised to process calls as quick as they can because they are being fucked by the same company fucking you. Not to mention the fact that if someone places an order and doesn't tip, then they cannot afford the order in the first place, and the get their money back. Moral relativism is built in to capitalism, and being the bigger person to a corporation when you haven't eaten since lunch yesterday only serves to perpetuate the problem.

  1. Wealthy homes =/= great tips. Sometimes it does, and weathier areas do tend to have less 0$ tips, insufficient tips can be just as prevalent if not more in certain areas.

  2. The staff at restaurants are hardly ever responsible for you having to wait for an order, and being kind and patient is a necessity and often results in your order getting finished with less mistakes and less time.

  3. This is very dependent on your area, but the best times I have found on average generally with all 3 different States I have worked in:

-Monday breakfast

-Wed-Sat nights

-(*)Sunday until after late lunch(around 2:30pm)

-government holidays

I have had consistent crappy dekiveries with workday lunch hours.

(*) I have had both my very best tips and my absolute worst tips + deliveries on Sundays. Its random.

Oh, fuuuuck yes. I love everything this has unexpectedy scratched in my soul. Damn, NASA, why do we treat you so?

I'd vote for a convicted felon. Fuck, I almost was one.

Now, a pedophilic misogynistic cheeto? Nah, I'll take the sleepy dude.

Yeah, such as anyone trying to unscramble your... "thoughts"

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KillingAndKindess

joined 8 months ago