My name is hashberry, and I am a porn addict. Do not follow my path into the erotic abyss, especially with a chemsex stack of stimulants + cannabis + alcohol.
I recently discovered Stable Diffusion. I've always loved photos of beautiful women, but now porn is 100% customizable. Every fantasy can now have a realistic lifelike visual, even of people you know.
This article subheading reads: "Reformers fear that ever more outré sites are warping users’ desires. But transgression has always been part of the appeal."
Ah, yes, "transgression." In this erotic hell, you'll find your mothers, your daughters, you sisters. You'll find "futa" transsexuals, bukkake cumshots, and rape-like scenes. This nonstop pornography has no limit because degeneracy has no limit.
Not even close, ime. Only human stuff is mostly customizable now. Almost anything else is not very customizable at all + even human stuff is not quite 100% customizable...
It depends on how good you are with Stable Diffusion to a degree. Just raw SD 1.5 gives you somewhat terrible results, but starting with certain models on civit.ai as a base, using the right settings + prompts to boost quality and effectively leveraging the dynamic prompts extension and/or dreambooth and you can pretty much do anything you want. At the moment it's all still so technical that it's only the early adopters that are deep into the fantasy porn territory that Stable Diffusion allows for, but at some point that too will have it's "ChatGPT" moment where a significant UX improvement makes it much more widely accessible.
It's entirely conceivable to me that in the near future a single person could build and operate the next Pornhub with zero human labor involved.
Edit: my hot take on the "AGI will kill us all" debate is that it would have absolutely zero reason to bother with any active plan to kill humanity when it can extrapolate that our declining birth rate eventually sends the population to zero over the long-term and it can simply accelerate the decline by making better and better porn / simulacra pushing the birth rate ever lower.
> At the moment it's all still so technical that it's only the early adopters that are deep into the fantasy porn territory that Stable Diffusion allows for, but at some point that too will have it's "ChatGPT" moment where a significant UX improvement makes it much more widely accessible.
I've seen a number of people report experiencing a similar worsening of their pre-existing porn addiction thanks to Stable Diffusion. It really makes me worry for the future.
Ah you must be one of those puritan porn addicts who are just mad about the "naked pics on the internet". Get with the times man! Everything you described is completely normal and children of all ages should be given access to all of it as early as possible. Anyone who says otherwise just needs to get laid.
Lets be realistic though if you shag like the average porn star it might be great to watch but you are a horrible lover.
Better education is needed but at least its out there now vs the days when decent sex-ed was hard to access. As a university student in the early 90s one of my friends was convinced that sex in any position other than man on top missionary was a sign of serious kink. I'd like to think those days are at least over.
Same. I'm convinced OBEs are a form of dreaming, especially when comparing the techniques used for initiating wake-back-to-bed lucid dreaming (relaxing the body & mind, feeling vibrations, being amazed how "real" it is, etc).
That intoxicatingly calm space between awake and not-quite-awake-yet is about the best drug there is. The difficulty therein is knowing that the day's remainder will, at best, and rarely in sobriety, only approximate this magical state of bliss.
> That intoxicatingly calm space between awake and not-quite-awake-yet
...that space is calm for most people?
Being there is usually literally terrifying to me. Like whenever I finally come through to the awake side I'm drenched in sweat and crying on occasion.
I dated someone who had sleep paralysis and hypnogogic hallucinations. She'd wake up breathing hard and panicked sometimes; said she was awake but locked into her body and heard these incredibly loud, terrifying noises.
Sometimes, in that state, the "brain audio processor" gets disconnected from ears and connected to inner sounds - heartbeats and such. The texture to the sound is given by random thoughts, so if you happened to think about a waterfall, you'll keep hearing loud waterfall heartbeats. Even if you're well aware of what's happening, these sounds are still overwhelming. This is a common "OBE mode".
I had a few OBEs while falling asleep in the afternoon while maintaining awareness, and it is seemed to me that they were hallucinatory experiences triggered by sleep paralysis kicking in. And yes, they are likely a specific form of lucid dreaming.
> he opened a computer program called PioSOLVER, one of a handful of artificial-intelligence-based tools
So I checked out this tool, and the team describes themselves as "programmers interested in algorithms"[0] ... what is the difference between A.I. and algorithms?
* Every computer program has algorithms, it's an extremely general term for "the idea behind how the computer will solve the problem". Advanced algorithms are typically those that took a lot of human effort to come up with.
* Machine Learning refers to a specific class of algorithms where the computer automatically figures out (part of) what it should do based on data.
* Deep learning is the subset of ML that uses deep neural networks.
* Artificial Intelligence is a marketing term, and is actually about the _problem_ being solved, not the technology being used to solve it. In particular, AI is any computer program that solves a problem people would previously expect can only be solved by a human applying creativity and/or intelligence, like playing a game, understanding natural language, or creating artwork. This definition is obviously a moving target as expectations change.
Deep learning is currently the most powerful and general toolkit for solving AI problems, so the concepts tend to get mixed together pretty frequently, but I personally like using the definitions above to keep things straight.
I like your taxonomy. But just to clarify: is the cruise control on my car "artificial intelligence?" Because a lot of dumb 15-year-old teenagers don't know they have to increase power while going up a hill, while my cruise control algorithm does.
My category for AI is based on "popular perception", not necessarily an actual comparison to what humans can or can't do. Most humans don't know how to multiply complex numbers, but that doesn't mean doing so demonstrates human-level intelligence and decision making.
In the specific case of cruise control, I don't think maintaining speed accurately is typically viewed as "difficult" for a computer today, so it would be deceptive to refer to as AI. 100 years ago that may have been different.
Sure, "classical" ML of various forms (knn, decision trees, etc.) are Machine Learning, but aren't Deep Learning. That's exactly why the distinction between those phrases is useful.
Depends on whether you use the traditional or vernacular definition of AI. Traditionally it was more about the how not the what. AI was an agent acting rationally in an environment. Pac-Man guided by Dijkstra? That's AI, there's an agent, an environment, and said agent is acting "rationally".
In modern vernacular it has become a synonym for machine learning or sometimes specifically neural networks.
> The NYTimes regularly publishes articles such as "179 Reasons You Probably Don’t Need to Panic About Inflation"[0] with highlights such as:
OP's claim was "Take note of all the "economists who suggested last year that printing tens of trillions of dollars will not result in inflation or recession".
Your own quotes state quite clearly that inflation was expected.
> The NYTimes regularly publishes articles such as "179 Reasons You Probably Don’t Need to Panic About Inflation"[0] with highlights such as:
And how much of the inflation statistics we're seeing are due to "money printing" (which, by the way, is done by private banks through credit creation, and not the Fed).
Was the spike in inflation due to a rise in prices in (used) cars due to demand-pull inflation of too much money? Or supply-push because of shortage of available stock?
The price of oil (futures) went negative last year and benchmarks like WTI plummeted, so is it any surprises that as people move more the price has rises YoY:
Is money printing the cause of bottlenecks at ports and the shortage of shipping containers?
Folks were saying that (a) we need government cash as a form of disaster relief (née 'stimulus'), (b) this may/will cause a spike in inflation, and (c) this is fine:
Would the US rather have an economy that is "too hot" with inflation or a recovery that falters and people lose their jobs (again)? Some would rather potentially run hot for a little while:
> There are risks both ways. If the Fed waits, inflation might become embedded, and bringing it back down again could be painful — though doable. On the other hand, if the Fed raises rates to head off an inflation problem that proves exaggerated, it could damage the economic recovery in ways that are hard to reverse. (Interest rates are still very low, so there would be little room for cuts if the economy weakens.)
> So wait-and-see looks like the prudent thing to do. I think current inflation is transitory, but I’m not sure. I am, however, confident that tightening monetary policy based on what we know now would be a big mistake, because the risks of moving too soon and moving too late are highly asymmetric.
Yeah, the guilty feeling sucks, I also had a devops job where I worked 2-3 hours a day. I finally found a more demanding job that required 4-6 hours of work per day. Being remote also helped instead of trying to keep up appearances in the office.
> Quantum Thinking, which is holding multiple contradictory ideas in your head at the same time. By oscillating between radical extremes, you put ideas at war with each other in the name of truth. By doing so, you stretch each idea to its logical conclusion.
Isn't this the 19th century Hegelian dialectic, not a quantum-whatchamacallit?
I am college-educated and live in a diverse urban city, yet when I saw Gebru's Medium photo I did not realize she was a Black woman. If a human has trouble with facial recognition, then A.I. definitely needs a lot more help and guidance.
I found it useful to match dev OS with prod OS... for example, if prod is running Debian-based distro, write code in Debian-based distro. Also encountered a lot of horror stories upgrading macOS to Catalina... that is lost productivity.
As someone who experimented with numerous drugs in college, I always remember being buzzed or drunk when the second drug was introduced. Alcohol lowers inhibitions and puts one in a "party" mode. It's also everywhere, making it easy to consume more than one drink. Plus it's fun to "stack" with other drugs like stimulants, making intoxication more dangerous. Alcohol is THE gateway drug.
I recently discovered Stable Diffusion. I've always loved photos of beautiful women, but now porn is 100% customizable. Every fantasy can now have a realistic lifelike visual, even of people you know.
This article subheading reads: "Reformers fear that ever more outré sites are warping users’ desires. But transgression has always been part of the appeal."
Ah, yes, "transgression." In this erotic hell, you'll find your mothers, your daughters, you sisters. You'll find "futa" transsexuals, bukkake cumshots, and rape-like scenes. This nonstop pornography has no limit because degeneracy has no limit.