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tomatowurst

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pythonista. python is the future.

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understood, dang sent you an email

but please take a look at the flagging attack on all of my comments outside this thread. the timing is too peculiar here

somebody really didnt like what i wrote above ;)

you are really nitpicking and taking offense over something you made up in your head. The context of serverless has changed to mean cloud offering.

Probably because prostitutes are on Tinder now and poverty drives them to such behavior. You will have a tougher time in more economically advanced countries compared to one popular hotspot which you are talking about.

Also why fly 4000 miles just to have sex? Why not just pay for a companion here?

As an asexual I don't really understand this. My friends are constantly rambling on or making remarks about how so and so would make a good potential lay. I guess its about quantity and more can be had at lower rates, especially in poverty stricken countries.

I suppose if you sold your company and your portfolio is earning several million dollars to tens of millions of dollars its easy to be sugar daddy to a college student and it seems like its culturally accepted here.

Makes sense why there is such strong calls for abortion rights, something like this would be unimaginable in some cultures and I can see why but then again I don't quite agree with trying to oppress individuals from choice.

This part of human society, I just do not understand. For instance, I don't understand why so much of the population would be so driven to have sex or have romances.

Does anybody make $1000 USD / hr? What is your day to day like? How many clients do you have and how many hours do you bill per year? Do you actually work 2087 hours per year which would net you $2MM/year?

I'm curious how some people are able to bill such high amounts and how they got started. It must also be extra stressful since its not like you are working for a company either so you need to do marketing and find clients as well.

Doubtful as those sources of funding are also beholden to investors who most likely have positions in the market. There can be no isolation in modern finance, everything is interconnected.

If the rates continue to rise and market gets bearish on paying multiples on revenues, its going to run into serious liquidity crunch.

IPO right now is very difficult as the door is closing, and investors are wary about paying a premium like they have before. They delayed it too long and have missed the window, it is unlikely from a year from now they will be able to get any bids for the current market valuations.

Couldn't a bunch of us shell out $5000~$50,000 and do this ourselves? Create a non-profit shell corporation outside US jurisdiction, issue shares, raise funds and open source the result?

The shares would simply be votes towards future training dataset endeavors as no profit would be booked here. Say you buy 5000 out of 500,000 shares, that would give you 1% voting power in what dataset to train.

This type of gross negligence and incompetence from Ryan really makes me doubt his twitter claims about YC, Sequoia and NYT.

It's starting to make sense that he did to shift the blame and deflect.

Having said that I don't think this is going to play out well for him. It was a huge mistake to get half of your staff to take on personal debt for stock options that mount to nothing.

Korea. Hardcore pornography is also illegal there.

Keep in mind this is a country where if you leave a bad review after you get scammed by someone with evidence, it is defamation. So not quite leadership the world needs in this industry.

Really sad to see ppl on HN flagging all of my comments on this thread. I mean it's not like you can't find celebrity deepfakes including Kpop.

The cat is out of the bag and its only going to get better and faster from here whether some cultures/jurisdictions take offense or not.

Which is why porn is such a great dataset for crowdsource:

- lots of people are stimulated by it

- lots of people want DALL-E-2 for porn

- and lots of people are willing to work towards that common goal

The beauty of this is that people are just going to keep coming and coming to it.

Like I'm trying to be mature and serious about this. What's it going to take?

- Community responsible for scraping dataset, generating image dataset from moving pictures, upscaling said dataset.

- Crowdsourced labeling, cleaning, normalizing dataset

- Crowdfunding to train, host, and publish.

All of the above are not easy by any means but its much more achievable than trying to build a generic DALL-E that can create anything.

Really my point is that the scope of the dataset has narrower range in terms of desired output where as DALL-E-2 casts a far wider net.

Specialization is key here.

There's a section of the internet where you can easily find billions of images or can be generated from moving pictures. Even upscaled. I really didn't expect to have to spell it out.

hint: they are all about one thing and there are a lot of eager volunteers to help on those websites. It would be easy to "normalize/clean/classify" because the pictures would have a consistent theme, thus reducing the amount of parameters.

We are not trying to generate elephants getting railed on a SpaceX rocket flying in oil painting style (although I'm sure theres people into that and its not my place to judge), we are just trying to remove the human cost out of this necessary evil.

I can't believe nobody is investing in "DALL-E-2-4-PORN". This sounds like an X amount of money thrown at a hugely sticky product that can be iterated (with the current trend in hardware) to the point where it literally generates billions of dollars in revenues for ages to come (no pun intended).