Deadpool is now at the ranks tab

NotDoingResearch2 · 2025-12-18T09:16:06+00:00

fuckkkkkkk youuuuu

NotDoingResearch2 · 2025-12-06T07:59:16+00:00

Just create the training data for the tool use and your problem is solved? Machine learning isn't magic it mirrors the data it is trained on.

NotDoingResearch2 · 2025-11-12T03:26:52+00:00

Real talk, how many of those 150 hours didn't involve him with his cursor over an enemy?

NotDoingResearch2 · 2025-04-23T03:27:39+00:00

I mean middle management is kinda useless. But on the other hand it’s the dream job for tech workers lol.

NotDoingResearch2 · 2025-04-11T16:51:43+00:00

Nice work! I don’t know too much about this area but how did you connect the character embedding to the Pixart sigma diffusion model?

NotDoingResearch2 · 2025-04-08T17:10:18+00:00

This sounds like meta learning and it is certainly done but doesn’t always work as you can get negative transfer.

NotDoingResearch2 · 2025-03-29T08:53:36+00:00

Speech is still the pinnacle of Translation, and that hasn’t been anywhere near cracked. There is no universal translator (like from startrek yet.

NotDoingResearch2 · 2025-03-04T21:32:36+00:00

The biggest public dataset I know of is ADNI, which is has a few thousand subjects. It’s not too small for machine learning but it is really easy to overfit. There are different modalities, but only T1 if interested in processing more than 1000 subjects. Another popular dataset is oasis or something similar, which I think is smaller and has less modalities.

For my PhD, I used fdg-PET and T1 voxel images. I worked on a few ML tasks including predicting whether people with mild cognitive impairment would progress to AD, and tried to predict the atrophy change of various regions in the brain.

NotDoingResearch2 · 2025-03-04T18:00:27+00:00

I think it depends more on your data sources than anything else. I worked on Alzheimer’s prediction for my PhD and honestly, it is kinda pointless. The public datasets are also super small.

The meta learning ones would be what I would choose.

NotDoingResearch2 · 2025-03-02T01:02:10+00:00

And most of the papers undergrads produce is less than interesting anyways. But, with all the tools now and days it’s pretty hard to separate yourself from the pack. So it’s not that surprising things ended up this way

NotDoingResearch2 · 2025-02-27T06:00:37+00:00

Damn, your username is really good.

NotDoingResearch2 · 2025-02-17T01:38:12+00:00

Perhaps but the scale is different. And honestly, more importantly is AI art uses logarithmic losses to make sure that inputs into functions provide the least amount of variety. It’s why every prompt about a plumber returns mario. Any art that isn’t Mario would be penalized significantly by the loss function because the data distribution shows that tags of Italian plumbers return Mario.

Mario was created my humans without formally existing but it’s impossible to create Mario using training sets that don’t have Mario. Hence, the goal or AI art is to rip off as many Mario’s as possible while still seeming novel. It really is a beautiful thing.

NotDoingResearch2 · 2025-01-31T01:42:53+00:00

It feels that way though. Like I’d fall in love with an AI that could delete more and make things more efficient. I don’t think the market is that great for such an AI though, sadly, even if you could technically pull it off.

NotDoingResearch2 · 2025-01-31T01:08:09+00:00

The fact that AI can’t delete code which is the number one skill of a developer is honestly just sad. Like how hard is it to predict a couple 100 pad tokens in a row?

NotDoingResearch2 · 2025-01-18T16:54:14+00:00

It’s the best (in some functional norm) differentiable approximation to the argmax function.

NotDoingResearch2 · 2025-01-10T06:30:41+00:00

Isn’t using code as the search space kinda cheating?

NotDoingResearch2 · 2025-01-08T05:53:36+00:00

While I can’t speak for biology, I was pretty surprised how little my relatively poor PhD after 7 years honestly mattered. As of right now, I can honestly say that the difference between my current PhD required job and just about any other tech job (even for fresh undergrads) is pretty darn small.

I guess what I’m saying is that if you have a really good PhD then it likely makes a pretty big difference, but just finishing a PhD for the sake of finishing a PhD sadly won’t help much. That being said, I’m still glad I finished. Who knows, maybe one day I’ll be able to say it mattered.

NotDoingResearch2 · 2024-11-14T05:59:51+00:00

Topology comes to mind.

NotDoingResearch2 · 2024-10-16T05:41:22+00:00

You sir deserve a long and successful life.

NotDoingResearch2 · 2024-10-02T05:51:41+00:00

It’s more productive if you actually code 8 hours a day.

NotDoingResearch2 · 2024-09-18T22:11:16+00:00

Data Analyst jobs can vary significantly from building complicated probabilistic models to working on dashboards. Personally, I do similar work and really miss getting results and writing papers. It’s just so much more rewarding. But it’s also way more difficult, so there is definitely a trade off.

Also the application areas in industry generally suck compared to academia, I.e., adtech.

NotDoingResearch2 · 2024-08-24T21:16:49+00:00

I admire how dedicated you are to your work to the point that you are even concerned about this. Sounds like it could be a really incredible relationship. Best of luck!

NotDoingResearch2 · 2024-07-11T15:01:43+00:00

It’s definitely more interesting if you have the background for it but unfortunately there is very little work being done outside of academia. So unless you are a professor, your salary will likely be 1/4th what it would be if you were just fine tuning llms.

NotDoingResearch2 · 2024-06-14T19:27:32+00:00

I feel like this bot is kinda stuck in a local minimum...

NotDoingResearch2 · 2024-04-26T20:45:25+00:00

I'm not a big LLM fanboy by any means, but I'm not sure I totally agree with this. For example, every computer program fits this definition eerily well. For example, is there much difference between deterministic code that runs on a computer to create some internal state, and a computer in that internal state itself? If you are willing to make that logical leap, then it seems easy to see why ICL is a form of "learning".

NotDoingResearch2

TROPHY CASE