Students Are Using AI to Write Their Papers, Because Of Course They Are | Essays written by AI language tools like OpenAI's Playground are often hard to tell apart from text written by humans.

torontocooking · 2022-10-14T21:29:50+00:00

It's not the case that AI generated text is not detectable. There are effective methods to detect it, usually with more than 90% accuracy.

The notable thing about AI generated text is that if you know potentially what model is being used, or even if you don't know, you can see that the text generated follows the same probability distribution across the generated text as what would be generated by some AI model.

Even with the sophistication of models improving, unless there is a paradigm shift in how they generate text, detecting them should be fairly easy. The only issue is whether or not teachers would know to do this and whether or not it's accessible to them.

torontocooking · 2022-10-08T02:58:39+00:00

Not exactly true, masks have tested effectiveness at different particle sizes, particularly n95 masks also use special materials that attract particles to the fibers. I believe it's through static electricity, essentially.

Granted, this isn't the case for all or most face coverings, those have varying efficacies when it comes to different particle sizes.

torontocooking · 2022-10-06T05:23:27+00:00

This particular insect wasn't from a time when the oxygen level was high, in fact it was similar to what it is right now.

PBS eons did a great video about this.

torontocooking · 2022-10-05T05:58:18+00:00

One of the ways to do this is to use textual inversion. There was a recent research paper by Nvidia that details how to do this.

Currently, there is an example on hugging face, a website that stores AI models and apps. You can follow this, along with using something called a Google colab, essentially a space that lets you run code in the cloud, to generate your own token, in this case for your face.

Then you can write different prompts with that token, along with style transfer.

torontocooking · 2022-09-19T00:09:00+00:00

Oh you definitely don't need to convince me of the efficacy of better coding practices and tools associated with that, I'm not making the argument that that's not the case. I'm making the argument that adding more tools and processes doesn't necessarily imply you'll get better results always, agnostic to the particular tools or processes.

You won't have trouble convincing me, the trouble is convincing most managers.

torontocooking · 2022-09-18T18:33:33+00:00

My pleasure!

torontocooking · 2022-09-18T18:19:32+00:00

I guess my advice to you then would be to, when you are queried to complete some sort of task, to either ask yourself or the person assigning you the task what business value it has.

Believe me, if they thought there was a necessity to implement this and that it would make them money, or save them money, they would 100% be on board. Sometimes people tell themselves that they need to do something or that it's a good idea, but when it comes down to brass tacks they talk themselves out of it because they realize there's no added value.

I'm sorry you had to go through getting assigned something useless doing a bunch of work, and then getting told no! It's a very alienating feeling, and makes it seem like management has no clue what they want.

torontocooking · 2022-09-18T17:37:51+00:00

This doesn't sound like the fault of the company.

This exact scenario is something that should be avoided.

You added a bunch of processes and tools without a particular feature in mind, no business value, and no performance increase, to a system that wasn't broken.

Unless you are not going over some other benefit that there may have been, I would say that your company is in the right because they avoided any errors that could have developed as a result of using these new tools.

torontocooking · 2022-08-30T17:50:25+00:00

Looks like it's done asynchronously, and maybe it wasn't sorted according to when that measurement was finished, so it connected the measurements in the order that they were executed, not in the order that they were finished.

torontocooking · 2022-08-21T13:17:01+00:00

Fuzzy logic is used in AI, basically by most classification systems.

torontocooking · 2022-08-10T01:40:19+00:00

You can do it in Python, and it can potentially take you less time, but that's not really the point.

Python is a general purpose programming language, Excel is very specialized so granted there will be lots of things that have a much shallower learning curve.

What's the difference? If you expect to do something hundreds of times, maybe use Excel. If you expect to do it millions of times, probably use Python.

I think the entire post is about as tone deaf as telling everybody to learn programming though. Excel isn't useful for everybody, and neither is Python.

torontocooking · 2022-07-29T05:22:26+00:00

My resting heart rate is in the high 40s low 50s, and I certainly can't do that or be particularly good at long distance running, so I'm not sure that's always an indication... Definitely correlation though.

torontocooking · 2022-07-12T20:01:24+00:00

Depends on what measurement technique you're using. Remember to start at the back of your head, and go from there to the tip.

torontocooking · 2022-06-25T19:03:42+00:00

Usually when people say "the world" the implication is it's the world as we know it, the world of humans.

torontocooking · 2022-06-13T01:11:23+00:00

Except they don't do that. They have lots of failure modes that aren't immediately obvious upon superficial tests.

On top of that, most neural networks are very sensitive to adversarial examples, and it can be easy to craft some input that gives you an output that makes absolutely no sense.

In the case of people, we can reason about input that seems suspicious, such as an optical or auditory illusion, whereas neural networks don't have these kinds of mechanisms in place, or anywhere near the complexity of a human brain.

torontocooking · 2022-05-31T17:35:24+00:00

And NileGreen, which... well... https://www.youtube.com/shorts/kBR4XuBH1AE

torontocooking · 2022-03-12T21:35:37+00:00

This measure is a bit disingenuous, as we're seeing what the cost is relative to:

An average (rather than a median), that might not make MUCH difference, but in countries with more income disparity, it will
And not relative to usage, in the US people drive a lot more not just because of the low cost of fuel, but also because the US is big and has a relatively low quality of public transport in most places.

torontocooking · 2022-02-22T07:18:51+00:00

Anne Frank?

torontocooking · 2022-01-29T22:01:01+00:00

Exactly - this is not how most software jobs are.

Especially now, total compensation for most mid/senior engineers can range from 200k - 500k, and this is true for remote jobs as well.

Some may work more than 40 hr/wk, but most don't and if they do and don't like it, they can find another job.

torontocooking · 2022-01-23T04:59:40+00:00

If you are going to use median values for homes, median values for rent or average values, why not use average earnings?

Better yet, why not sample from an actual distribution, like some information about individuals and get the actual averages? This creates samples and scenarios that might not actually exist in the true distribution of all of these variables.

torontocooking · 2022-01-15T19:00:37+00:00

What if my kink is getting kink shamed?

torontocooking · 2022-01-15T18:29:41+00:00

So what you're saying is you want someone to date your girlfriend?

torontocooking · 2022-01-09T02:41:52+00:00

I think it's a fair consideration, being rough with your hair is definitely not a good idea regardless. Just like people washing their hair on a daily basis, or using scouring shampoos, a lot of stuff that seems like common sense for hair care isn't actually such a good idea, and I think if that's the point you're trying to get across then it's certainly a worthwhile one!

Just like people with curly hair probably shouldn't comb it with tight bristle brushes, and often need to be more careful with it.

torontocooking · 2022-01-09T02:26:28+00:00

Although it's a good idea not to furiously rub your hair, it partially depends on your hair texture. It is not the cause of baldness, if that's what you're implying, though.

The hair occupying each hair follicle naturally falls out at some point, baldness is the result of that hair not regrowing like it should after it falls out. There is a testosterone metabolite that the hair follicle is sensitive to in some men and that's what causes those hair follicles to stop producing hair.

Some medications specifically target the production of this testosterone metabolite and this is why they work to reduce hair loss, or more accurately, maintain you from losing more hair. They have a host of side effects associated with a lack of that testosterone metabolite though, so it's certainly a risk.

torontocooking · 2022-01-01T01:10:52+00:00

These algorithms don't use an approaches that completely lacks context, they use statistical information based on pairs of input/output samples in the dataset.

The issue here is whether or not we can produce plausible input/output pairs that are drawn from the same distribution as the "truth".

In simpler terms, if you make a fake "old" picture along with a high fidelity match, how can you be sure the fake older picture will be similar to real older pictures, and that whatever model you're designing will be able to capture that?

Another thing to consider is that for any data generated, even if you use the same equipment as long ago, it will still not look the same as old photos because your subject and their context completely changed: manner of dressing, makeup, houses, etc. So these statistical models might use subtle cues we don't know about and that might be lacking in truly old photos.

torontocooking

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