JoeyJoeJoeJr

joined 2 years ago
[–] JoeyJoeJoeJr@lemmy.ml 21 points 2 days ago (2 children)

Usernames are a thing now, so it's no longer necessary to share your phone number with other users.

[–] JoeyJoeJoeJr@lemmy.ml 1 points 1 month ago

Worth noting is that "good" database design evolved over time (https://en.wikipedia.org/wiki/Database_normalization). If anything was setup pre-1970s, they wouldn't have even had the conception of the normal forms used to cut down on data duplication. And even after they were defined, it would have been quite a while before the concepts trickled down from acedmemia to the engineers actually setting up the databases in production.

On top of that, name to SSN is a many-to-many relationship - a single person can legally change their name, and may have to apply for a new SSN (e.g. in the case of identity theft). So even in a well normalized database, when you query the data in a "useful" form (e.g. results include name and SSN), it's probably going to appear as if there are multiple people using the same SSN, as well as multiple SSNs assigned to the same person.

[–] JoeyJoeJoeJr@lemmy.ml 3 points 2 months ago* (last edited 2 months ago)

I think to be fair, you've got to compare his before and after, rather than comparing him to anyone else.

I certainly wouldn't say he looks young, but I think he's on a better trajectory.

[–] JoeyJoeJoeJr@lemmy.ml 19 points 2 months ago

Someone testing on themselves is how we learned what causes and how to treat ulcers (the researcher earned a Nobel prize for giving himself an ulcer, and then treating it), among other things.

Controlled trials are great, but research has to start somewhere.

[–] JoeyJoeJoeJr@lemmy.ml 3 points 2 months ago

Flanders is self employed - he owns the Leftorium. There's a joke in this episode about not writing off the ink used to print receipts as a business expense, because he likes the way it smells. He can do his taxes when he wants.

[–] JoeyJoeJoeJr@lemmy.ml 8 points 2 months ago (2 children)

Mario Kart was played for racing, and balloon battles. Diddy Kong Racing was all about Fire Mountain (the game where you capture the eggs).

[–] JoeyJoeJoeJr@lemmy.ml 11 points 4 months ago (3 children)

Some people have posted pictures in the thread now, and it looks like you might be correct. Seems odd - the blowhole is analogous to a nostril. Sucking something against your nose a swimming seems like it would be uncomfortable.

[–] JoeyJoeJoeJr@lemmy.ml 16 points 4 months ago (5 children)

Under water, with no hands, how are they getting the fish in place? And perhaps more difficult, how do they keep it there? Anyone aware of a video?

[–] JoeyJoeJoeJr@lemmy.ml 2 points 5 months ago

Saw the movie today. I concur with this astute review.

I would say there were maybe (maybe) 4 spots where it made sense to put music, and maybe 1 or 2 of those where the scene and music were done well (graded on a favorable curve). Then about 20-25 places they jammed bad music for what felt like no reason other than to slow down a movie that already wasn't going anywhere.

[–] JoeyJoeJoeJr@lemmy.ml 3 points 5 months ago

I just saw it today. Can confirm - it's bad. Bad enough I'm upset it exists, because it practically taints the first.

The plot is pretty weak, and to make it worse, sporadically there are flashes that make you think it's finally building towards something, and then it just fizzles.

With very few exceptions, the songs are bad both in terms of the music and the lyrics, and they slow the movie to a crawl.

Additionally, Lady Gaga's lip synching is shameful, especially considering she's most famous for music. Her performance is otherwise fine, but it feels like they could have put anyone in there. She didn't bring anything to the role.

Joaquin Phoenix's performance is pretty good, and the cinematography is good. But... Don't see it. Definitely don't pay for it. I wish I had my money and my time back.

7
submitted 6 months ago* (last edited 6 months ago) by JoeyJoeJoeJr@lemmy.ml to c/chatgpt@lemmy.world
 

I'm pretty impressed with how well it's able to understand him, and how quickly it's able to respond, especially with two people talking, interrupting, changing languages, etc.

[–] JoeyJoeJoeJr@lemmy.ml 9 points 6 months ago

I've personally lived in places where the closest convenience store was 2.25 km, and the grocery store was nearly 18km, as well as places where a convenience store was literally a part of my building, and grocery stores were walkable distances.

The U.S. is enormous and varied. Take a look at truesizeof and compare the U.S. and Europe (don't forget to add Alaska and Hawaii - they won't be included in the contiguous states). Consider how different London is from rural Romania.

[–] JoeyJoeJoeJr@lemmy.ml 1 points 6 months ago (1 children)

This ignores the first part of my response - if I, as a legitimate user, might get caught up in one of these trees, either by mistakenly approving a bot, or approving a user who approves a bot, and I risk losing my account if this happens, what is my incentive to approve anyone?

Additionally, let's assume I'm a really dumb bot creator, and I keep all of my bots in the same tree. I don't bother to maintain a few legitimate accounts, and I don't bother to have random users approve some of the bots. If my entire tree gets nuked, it's still only a few weeks until I'm back at full force.

With a very slightly smarter bot creator, you also won't have a nice tree:

As a new user looking for an approver, how do I know I'm not requesting (or otherwise getting) approved by a bot? To appear legitimate, they would be incentivized to approve legitimate users, in addition to bots.

A reasonably intelligent bot creator would have several accounts they directly control and use legitimately (this keeps their foot in the door), would mix reaching out to random users for approval with having bots approve bots, and would approve legitimate users in addition to bots. The tree ends up as much more of a tangled graph.

 

I found the portion about studying people with this disorder leading to better understanding of visual processing in general pretty fascinating. Especially the part about the left/right processing and stitching.

 

cross-posted from: https://lemmy.ml/post/11175824

Tips for getting contract work

I'm looking for part-time and/or short term contract work, but having a hard time because all the major job sites have either no ability to filter, or the posters just select every option so their post shows up in every search.

Does anyone have any tips on how to find this kind of work? Is it best to source it on my own, or are there good agencies to work with?

I'm looking for any kind of developer roll (I've done backend and full stack), and am open to mentoring/tutoring as well.

 

I'm looking for part-time and/or short term contract work, but having a hard time because all the major job sites have either no ability to filter, or the posters just select every option so their post shows up in every search.

Does anyone have any tips on how to find this kind of work? Is it best to source it on my own, or are there good agencies to work with?

I'm looking for any kind of developer roll (I've done backend and full stack), and am open to mentoring/tutoring as well.

 

The countryside is beautiful, and the best way to experience it is via motorbike. I was nervous because I'd never ridden one, nor had I been in a place where I had to drive on the left, but Pai is a great place to practice both of those things. Some noob tips:

  • One person to a scooter. It's much, much harder to drive with two or more people. If you're new to scooters, don't risk it.
  • Get a mount for your phone, so you can use GPS. They didn't have them at the rental shops when I was there, so bring your own.
  • Bring eye protection. In general, it's not necessary, but if it starts raining, you'll really appreciate having it.
  • The rental place will ask if you know how to ride. If you say "no," they won't rent to you. If you don't want to lie, watch a video online beforehand - then at least you'll have the knowledge, if not the skill.
  • Be careful! As you walk around town, you'll see lots of people with scratched up arms and legs, and probably even a few people with braces/casts. Don't be one of them. It's really not that difficult to ride, you just need to be smart and cautious.

And finally a pro-tip for getting to Pai: Take a motion sickness pill before the ride up. I don't get sea-sick, I don't get sick on rides, and I haven't thrown up in over a decade. It doesn't matter how strong your stomach is, you'll feel the ride. Any pharmacy will have the pills, and they are very cheap.

 

I think this community is more LLM focused than computer vision, but I'm hoping it's ok to post this here.

I struggled my way through getting tensorflow setup, and getting a model trained - it took about 10 hours over a few days, cross referencing different articles and videos, fighting to get protobufs compiled, and images/annotations converted to TFRecords. I finally got a basic model, but it was a nightmare, and I'm not sure I could figure it out again if I needed to.

Then I stumbled on this guy's yolov8 object detection video. It was so easy. I had a trained model in less than an hour. I would highly recommend.

Also worth noting - the ultralytics folks have been very helpful on their discord server.

I'm not affiliated with the guy making the videos or the ultralytics team, I just wanted to plug them since they've been very helpful to me.

If you want you dip your feet in, and you have any basic questions, feel free to ask them here. I'll answer any that i can.

Edit:

A quick note: In the video he uses an online tool for labeling - it looks like it can be installed locally, but it looks like a fair bit of work. I use label-studio which can be easily installed with pip.

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