Sounds very similar to the shit ive gone thru.

Get your thyroid levels tested. Can’t remember if its hyperthyroidism or hypothyroidism but one of them has symptoms that are very similar to depression. Low energy, tired, lack of motivation, feeling drained. It took a long time to get myself on the right medication but the biggest break thru in that time was getting my thyroid levels straightened out. Most of that time was spent with professionals who thought I was suffering from depression.

Id recommend seeing someone that specializes in ADHD and all the other comorbidity disorders. As well as asking your primary for a script to test your thyroid levels.

Ok I know they’re in the middle of a war and all but seriously how much did the guy who installed the solar panels in the thumbnail hate kids? Lol there looks like so much space to put those couple panels and they’re just like hmmmmmm howabout right here on top of the seesaw lol.

-Edit:

Adding Edit to the beginning to stop the replies from people who read the scenario for context and can’t fight their compulsion to reply by nitpicking my completely made up list of “unbiased” metrics. To these peeps I say, “Fucking no. Bad dog. No!” I don’t fucking care about your commentary to a quickly made up scenario. Whatever qualms you have, just fuckin change the imaginary scenario so it fits the purpose of what the purpose of the story is serving.

-Preface of actual comment:

Completely made up scenario to give context to my question. This is not me defending anything referenced to the article.

-Actual scenario with read, write, edit permissions to all users:

What if the court order the release of the AI code and training methods for this tenant analysis AI bot and found the metrics used were simply credit score, salary, employer and former rental references. No supplied data for race, name, background check or anything else that would tip the boy toward or away from any bias results. So this pure as it could be bot still produces the same results as seen in the article. Again, imaginary scenario that is likely no foundation of truth.

-My questions for the provided context:

1. Are there studies that compare methods of training LLMs with results showing differences in results ranging from less or no racist bias and more racist bias?

2. Are there ways of training LLMs to perform without bias or is the problem with the LLM’s code and no matter how you train them there will always be a bias presence?

3. In the exact imaginary scenario, would the pure, unbiased angel version of rhe AI bot but producing equally racist results as biased trained AI bots see different court rulings that the AI that shows it’s flawed design caused the biased results?

-I’m using bias over racist to reach broader area beyond race related issues. My driving purposes is:

1. To better understand how courts are handling AI related cases and if they give a fuck about the framework and design of the AI or if none of that matters and the courts are just looking at the results;

2. Wondering if there are ways to make or already made LLMs that aren’t biased and what about their design makes them biased, is it the doing of the makers of the LLM or is it the training and implication of the LLM by the enduser/training party that is to blame?

Obligatory preface written after comment was written:

I am in no way a statistician or data analysis guru. I admit I could be looking at this shit entirely wrong and welcome anybody who corrects anything I I’m looking at incorrectly.

Actual comment:

The entire report itself is skewed as fuck before Rolling Stone cherry picked the fuck out of it for the article to slam Tesla. Listen I’m as sick of Elon as the next but these fucking shit on everything Elon hiveminds are so much more fucking obnoxious. Theyre always 10 to 1 comments by people who didnt read the article to comments by people who did.

At the end is the actual image from the site that issued the report. I didnt bother with a source link because it’s right in the article OP posted.

Issues with the article and report:

1. The figures are not for every car on the road it only covers cars made between 2018 and 2022. Not a big deal but still deceiving as fuck to theme the article as Tesla has one of the highest death rates. Cuz they left the time frame out of the RS article. Kinda how they left out the fact that only 1 tesla is in the top 6 and the other Tesla is second to last with a flood of much larger much more common vehicle names that fill in between 1 and 23.

2. Each rate is calculated off 1 billion miles driven per year. When you put any Tesla model up next to any Ford, Honda, GM, Toyota, etc the % of all teslas on the road are going to be ridiculously higher than the % of the other much larger industry makes and models on the road that it takes to reach 1 billion miles. Because idk if I explained that well here is a made up scenario to illustrate it. Let’s say there are 1000 teslas on the road compared to 1,000,000 Prius on the road. The tesla death rates are based out of 1000 Teslas driving 1,000,000 miles each. Whereas the Prius death rates are based off 1,000,000 Prius’ driving 1,000 miles each.

3. Remember point 2 as it plays into point 3. The method they used to calculate the rate outlined in point 2, I believe is normal when govt is figuring out vehicle death rates by category, location, driver age, etc. However the study they reference is specifically for death rates per vehicle make. Which makes the methods used for calculating deathrate by make and model completely fucked. They should’ve done the same number of cars per each make and model type as well as the same miles driven to get a comparable outcome of death rates per make amd model over 4 year span.

What the fuck you aren’t kidding. I have comment replies to trolls that are longer than that article. The over the top citations also makes me think this was entirely written by an actual AI bot that was lrompted to supply x amoint of sources in their article. Lol

Meh it’s more of an all around bad article that makes the political shilling so belligerent but this is one of the most active communities i subscribe to and this is the first time I’m seeing anyone complain about the political rhetoric b3ing over the top.

With that being said, I did snort out a laugh at the other two dolts to comment tho. Lol it’s like they didn’t realize the election shills they were bandwagoning with left and they’re the last two left. Following each other around yelling in their own echo chamber. 🤣 and whichever one said this is one of the most political communities can fuck right off with that nonsense hahaha

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Google is going to get broken up. To what extent is the question. Companies positioning themselves for the aftermath of the Google break up like this isnt too wierd. Who knows what companies will aquire which Google assets so having your own means to seperate yourself from Google is just playing it safe.

You are so fuckin high on the anti Elon hivemind smoke it’s clouding your ability to quantify how much money he has and the fact that X is now an entirely private company. You think he is doing all the Trump shit for a bail out from a government who, has only issued a bailout that applied to privately held companies once in its almlst 250 year existence?

Homie, I think he’s an idiot as much as the next but let’s come down from mars and back to reality. Then we will circle back and cover how much money 250 billion dollars is and how the entire presence of Twitter could leave, bankruptcy the company and still be a massive tax write off without any favorable treatment from DC beyond what perks he already qualifies for by being of the .000000001% tax backracket minority.

It’s losing money at an insane rate and that’s with a mega election year propping it up.

We won’t even make a stink about your typo that twitter’s advertisement revenue stream as being driven by the same mechanisms used to figure out a YouTube influencer’s advertivment revenue stream. We will call it an autocorrect oversight that your comment accidentally says the election attention and resulting increase of user activity affect how much companies pay twitter for its advertising spots and not the number of likes or subscriptions or user visits because they would be insane to agree to terms where the amount they’re invoiced is dependent on statistics that can’t decipher between bot accounts and active user accounts.

If ya made it to the end of this and your take away is that I’m a Elon stan, re-read it or tell me why because I cognizantly tried to make sure none of my over the top satirical statements made in this reply would tip a hat or give any slight implications that would credit Elon for being a shrewd or competent business owner. I’m just sick of the fuck Elon hivemind ignoring very objective facts about how shit works in lazy replies only intended to get their shot in at beating the dead horse named Elon’s and Idiot.

Lol why wouldn’t they just show both years on this demographic? What’s the point of have the api for the live streaming data in the text but not in the graphic? To quote the retired NoSho league MVP Shoarsie, “Sodumb.”

Edit: OH FUUUUUUUUUUUCK ^IM ^THE ^ONE ^WHO ^IS ^SODUMB, ^I ^SEE ^IT ^NOW

Hate to burst everyone’s bubble but the api isn’t available without AP credentials.

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Not being a dick but how are the election result reporting not unbiased? They’re all using the exact same API so the numbers shouldn’t deviate as long as they’re all in sync. I’m sure as shit not tuning into a network news station so sorry for the ignorance.

I mean, noone used reddit 10 years ago. To a 37 year old like myself, that seems like the reddit shit blew up out of nowhere. Youtube is just a matter of time and outcome of future google break up cases before a legitimate competition comes for its industry share. FB will die with the boomers. The only one I see as a really unmovable object is Twitter because of the universal use by all major sports media/reporting/journalists. It’s the only one with end users applying the platform in any comercial sense outside of marketing. I think the question OP is asking will on the reliance of one of the other platforms falling.

Just my opinion tho so take it with a grain of salt.

You know they aren’t a cell phone company anymore but primarily focus on telecommunication infrastructure and IoT technology, right? Fueling a $23 Billion revenue stream. The hack is to give access abilities to the 3rd largest telecommunications company in the world. You say the data is only worth $20,000 but I don’t think you have a very good understanding of corporate espionage value. The hacker is selling an unsubstantiated tool (as in something to use not that its an actual tool or software), that is illegal to use, from unverified seller. The value of something doesn’t ever reflect the value of the product it reflects the value people are willing to pay for the product. The access to a multi billion dollar telecommunications company is worth a fuckton itself, but that’s not what they’re selling. They’re selling the ability to access that data which carries, like I said, tons of risk and potential cost. The hacker prolly does this to mitigate fallout if caught by selling access to data and not the data itself.

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It never hurts to keep a pulse on your marketing value tho. When was the last time you sent out your resume to see what you would be making anywhere else.

I’m new to office work scene so take this next bit anecdotally coming from someone who spent 10-15 years working as a machinist, chef and nurses aid, in that I lack the drive most have to be upset about the working from home shit. I’m a far more productive human outside of work with the structure and stability I get from having 9-5 hours 5 days a week work schedule. It’s something that’s always been apart of life and am too long sighted to let the 2 pamdemic years out of the 40-50 total years ill be working affect any decision regarding my means to make a living.

My approach to my career has always been influenced by what my uncle told me when i was in highschool. Which was, that even if my dream job was marine biology, after 30 years of feeding fish to dolphins I’ll get sick of it.

The paraphrased message of it was to make career decisions based off salary, compensation or job stability and not based off what makes me happy because a person’s happiness is more affected by not having the means to live a happy life outside of work because your career path decision resulted in you being without a job.

For you specifically my recommendation will assume you don’t work for pricks and would request with your application submission to have your interviewer not reach out to your current employer.

I would send out feelers to jobs you researched and classify as being “dream” jobs or enough improvements to you your current compensation for you to be interested. I would do this in 2 fashions. The first by sending resumes with your current qualifications and the second by maybe not sending resumes but definitely reaching out on jobs that would be available after you recieved the next tier of certification(s). Cross that with the cost, both on financial terms but also time spent terms (I’ve quantified this by apply my hourly wage as the hourly cost for time required for training. Not sire that is appropriate way of applying monetary value to free time spent), plus any additional but measurable costs or savings from things like commute for training or work from commute cost-savings.

If any jobs remain in the black means you will be better off making the change.

As for help making the decision to change, that’s all between you and your household dependants and filers. Only you know your own abilities to adapt to change, cope with stress, get along with new crowds. You also only know the other environmental variables affecting your decision like would you need to move residence, would there be a window of lost medical coverage (which would ve grouped in with the cost analysis if you needed to pay for your own medical switching jobs), but most importantly how much value you’re are putting into the things your missing out on. If you are missing out on hours spent gaming then maybe naaaa that shouldn’t be something to factor in. If your missing out on your dying mother/husband/child’s last days before the cancer kicks in then yeah that should play a factor in your decision.

Edit: To go a bit further, you don’t even have to go on any actual interviews. Just look to get accurate information about the job atmosphere and compensation. For me I was able to get that mostly thru the calls to set up an interview.

When I did go thru with seting up a couple interviews with the best options, there was no gripe from any of them when it came time to give them an answer to start the job and my response was always, “Thank you for the offer and time you gave me but my current employer has decided to match your competing offer to keep me on their team.” By taking this approach, you mitigate backlash from current employer finding out you are looking around, you gave potential employer prospects no reason to think you were only fishing for competitive offers or had no intent of taking the job but rather gave them proof the reasons they were going to hire you were justified that your employer’s ROI out weigh your employee compensation costs. Plus any company that would be bitter for potential employee candidates giving current employers opportunities to match their compensation offers is really looking to hire someone barely smart enough to do the job but dumb enough to not leave.

My experience using these recommendations are only been driven by requesting wages increases via presenting current employers with competing offers to match, not for improving my position/role thru training. So to add to the disclaimer in the body of this message, these recommendstions also assume you know your value to your employer and have been in good standing for several years in their eyes.

Oh yeah? And how many McDonald’s dollar cheese burgers can you afford with all that psychological wealth you snowflakes acquired? /s

I’m learning new lemmy shit daily still, like this exactly. I’ve been here for prolly a year-ish now and love how there is still shit to learn.