stylegan2-pytorch VS duckduckgo-locales

GANs on the other hand uses a generator and discriminator model, where the generator learns to generate images that are "good enough" to fool the discriminator. It may make it easier to make discriminators that are better at picking out visual artefacts that stand out for humans, (it was easy to pick out "fake humans" from the early versions of thispersondoesnotexist.com by looking at their eyes and teeth, they tend to be pointing in different directions, or their teeth are too irregular before the discriminator got better at picking those out) but they can suffer from mode collapse, and generate images with very little variety.

Generative networks like StyleGAN

It's interesting that AI generated pictures of people can get most things right but seemingly always struggles with teeth & fingers. If you check out thispersondoesnotexist.com the teeth are almost always goofy looking...

Teeth as well, check out thispersondoesnotexist.com you'll come across a lot of convincing looking people with odd teeth

https://thispersondoesnotexist.com/ has been around for 4 years now...

I remember there was https://thispersondoesnotexist.com/ Did it also work on StableDiffusion beneath?

Another great place to see AI generated faces: https://thispersondoesnotexist.com/

Check out https://thispersondoesnotexist.com/

w3m 'https://duckduckgo.com/?q='`echo [email protected] | sed 's/ /\+/g'`

If you want to start learning, the EFF probably has a section on their website related to data privacy. Or just use duckduckgo.com and search for "data privacy" articles and groups.

The Handmaid's Tale is not futuristic, it is LIVE now. Women need to get off the meta/google platforms, don't use any tech whatsoever to discuss personal issues. Use https://duckduckgo.com/

Be careful what you search online and where you search it. Shit like Google and ChatGPT logs you. Use something like Tor and a privacy respecting search engine like StartPage or DuckDuckGo for sensitive searches.

For the love of all that is good, not worth a trip to ER. That kind of emergency usually happens when least expected, and the epinephrine is on the other side of the farm, and need 15 minute ride.

Personal experience, solitary bees (and honey bees in general) - the key word here is bees, NOT wasps - are gentle. I regularly play with bubble bees and show my progeny how to treat them.

But, that implies that you can identify a bee from a wasp.

Take a look at some of the comparison images and you will get the gist [0]. Drunk yellowjackets are the worst.

[0] https://duckduckgo.com/?t=ffab&q=wasp+vs+bee&iax=images&ia=i...

(Do not read this: to be fair, ground nesting solitary wasps are not as freakish as any hive wasps.)

Yes, in general. (Appreciate the honest question.)

Bee homes [0] are basically a bird house with a bunch of small reeds or pipes where several native species can nest. It provides home for several American native bees. It is primarily for solitary bees It does not work for all, but it does help. After all, there are about 20,000 bee species and nearly 4,000 are in North America!

Bee homes do require some cleaning as the cocoons will be left behind in the reeds if you are successful. You will have to replace the reeds, or clean them out (bottle cleaner, or toothbrush works).

Honey bees (Apis mellifera), sometimes referred to as European or western honey bee is not native to the Americas, although they are well established now. They were introduced in the 17th century.

[0] : https://duckduckgo.com/?q=native+bee+home&t=ffab&iar=images&...

# import libraries | imports will be available in all following cells as well from fastcore.all import * from fastai.vision.all import * import time import json def search_images(term, max_images=100): # define search_images function url = 'https://duckduckgo.com/' res = urlread(url,data={'q':term}) time.sleep(2) searchObj = re.search(r'vqd=([d-]+)&', res) requestUrl = url + 'i.js' # the duckduck go api url params = dict(l='us-en', o='json', q=term, vqd=searchObj.group(1), f=',,,', p='1', v7exp='a') headers = dict( referer='https://duckduckgo.com/' ) urls,data = set(),{'next':1} # loop through pages until we have enough images while len(urls)

I'm in india and https://duckduckgo.com/ is up and running on my smartphone. I get, site is siezed or blocked by govt. if it is.

Is there any way duckduckgo.com has been banned on your country? I got PR_CONNECT_RESET_ERROR on banned websites.