Hi Overwatch Fans/players If Youre Seeing This Pls Share/reblog!!!

Hi Overwatch fans/players if you’re seeing this pls share/reblog!!!

If you didn’t know, Pharah’s voice actor, Jen Cohn has made Zionist standments like “free Palestine from Hamas” when it is ISRAEL who are killing them.

So until Blizzard acts, don’t give money to them. The new Moira mythic is pretty, but there are more important issues at hand!!

A Zionist with a phony accent should not voice/make money off of an Arab character.

Right now there are almost 3,000 signature on this petition asking for a recast! Andrea Toyias is the casting director for Blizzard and she is on Twitter! Our signatures mean nothing if she doesn’t see them. (Do not harass or send hate!)

We want a new Pharah voice actor!!!! #RecastPharah 🇵🇸🇵🇸🇵🇸🇵🇸🇵🇸

my advice to you is to never waste your time trying to fit into a club or hobby or any community who makes you beg for acceptance and approval just to participate when you could do the alternative—get involved in a niche and endangered hobby run primarily by old people.

i wanted to learn how to hunt ruffed grouse and train bird dogs so i sent an email to my local chapter of the ruffed grouse society explaining that getting into wildlife groups is intimidating to me because I’m trans

and all they saw was that someone under 60 wanted to learn to hunt grouse & several months into my mentorship I was told that like 7 old guys argued over me until they had to pick a number between 1 and 100 to decide who got to personally mentor me.

imagine vying for the acceptance of some gatekeeping weirdos when your mere interest could be inciting verbal combat among retirees

The conversation around AI is going to get away from us quickly because people lack the language to distinguish types of AI--and it's not their fault. Companies love to slap "AI" on anything they believe can pass for something "intelligent" a computer program is doing. And this muddies the waters when people want to talk about AI when the exact same word covers a wide umbrella and they themselves don't know how to qualify the distinctions within.

I'm a software engineer and not a data scientist, so I'm not exactly at the level of domain expert. But I work with data scientists, and I have at least rudimentary college-level knowledge of machine learning and linear algebra from my CS degree. So I want to give some quick guidance.

What is AI? And what is not AI?

So what's the difference between just a computer program, and an "AI" program? Computers can do a lot of smart things, and companies love the idea of calling anything that seems smart enough "AI", but industry-wise the question of "how smart" a program is has nothing to do with whether it is AI.

A regular, non-AI computer program is procedural, and rigidly defined. I could "program" traffic light behavior that essentially goes { if(light === green) { go(); } else { stop();} }. I've told it in simple and rigid terms what condition to check, and how to behave based on that check. (A better program would have a lot more to check for, like signs and road conditions and pedestrians in the street, and those things will still need to be spelled out.)

An AI traffic light behavior is generated by machine-learning, which simplistically is a huge cranking machine of linear algebra which you feed training data into and it "learns" from. By "learning" I mean it's developing a complex and opaque model of parameters to fit the training data (but not over-fit). In this case the training data probably includes thousands of videos of car behavior at traffic intersections. Through parameter tweaking and model adjustment, data scientists will turn this crank over and over adjusting it to create something which, in very opaque terms, has developed a model that will guess the right behavioral output for any future scenario.

A well-trained model would be fed a green light and know to go, and a red light and know to stop, and 'green but there's a kid in the road' and know to stop. A very very well-trained model can probably do this better than my program above, because it has the capacity to be more adaptive than my rigidly-defined thing if the rigidly-defined program is missing some considerations. But if the AI model makes a wrong choice, it is significantly harder to trace down why exactly it did that.

Because again, the reason it's making this decision may be very opaque. It's like engineering a very specific plinko machine which gets tweaked to be very good at taking a road input and giving the right output. But like if that plinko machine contained millions of pegs and none of them necessarily correlated to anything to do with the road. There's possibly no "if green, go, else stop" to look for. (Maybe there is, for traffic light specifically as that is intentionally very simplistic. But a model trained to recognize written numbers for example likely contains no parameters at all that you could map to ideas a human has like "look for a rigid line in the number". The parameters may be all, to humans, meaningless.)

So, that's basics. Here are some categories of things which get called AI:

"AI" which is just genuinely not AI

There's plenty of software that follows a normal, procedural program defined rigidly, with no linear algebra model training, that companies would love to brand as "AI" because it sounds cool.

Something like motion detection/tracking might be sold as artificially intelligent. But under the covers that can be done as simply as "if some range of pixels changes color by a certain amount, flag as motion"

2. AI which IS genuinely AI, but is not the kind of AI everyone is talking about right now

"AI", by which I mean machine learning using linear algebra, is very good at being fed a lot of training data, and then coming up with an ability to go and categorize real information.

The AI technology that looks at cells and determines whether they're cancer or not, that is using this technology. OCR (Optical Character Recognition) is the technology that can take an image of hand-written text and transcribe it. Again, it's using linear algebra, so yes it's AI.

Many other such examples exist, and have been around for quite a good number of years. They share the genre of technology, which is machine learning models, but these are not the Large Language Model Generative AI that is all over the media. Criticizing these would be like criticizing airplanes when you're actually mad at military drones. It's the same "makes fly in the air" technology but their impact is very different.

3. The AI we ARE talking about. "Chat-gpt" type of Generative AI which uses LLMs ("Large Language Models")

If there was one word I wish people would know in all this, it's LLM (Large Language Model). This describes the KIND of machine learning model that Chat-GPT/midjourney/stablediffusion are fueled by. They're so extremely powerfully trained on human language that they can take an input of conversational language and create a predictive output that is human coherent. (I am less certain what additional technology fuels art-creation, specifically, but considering the AI art generation has risen hand-in-hand with the advent of powerful LLM, I'm at least confident in saying it is still corely LLM).

This technology isn't exactly brand new (predictive text has been using it, but more like the mostly innocent and much less successful older sibling of some celebrity, who no one really thinks about.) But the scale and power of LLM-based AI technology is what is new with Chat-GPT.

This is the generative AI, and even better, the large language model generative AI.

(Data scientists, feel free to add on or correct anything.)

palestine masterpost-masterpost

i've been trying my best to collect a bunch of links to other, more structured resources about the genocide in gaza, and what you, reading this, can do about it, that i'm going to compile here.

DON'T SCROLL PAST. LOOK THROUGH THE LINKS. REBLOG.

less and less people are talking about gaza every day, but it is still a very real crisis.

education, donations, speaking out, global links (masterpost)

links to contextual articles

for americans - state/congressional contacts

how you can help palestine - donations, petitions, campaigns, upcoming protests (masterpost)

non-politically motivated charity links

canary mission

petitions and congressional contact (masterpost)

education, current news, taking action, direct action and donations, current protests (masterpost)

small monetary actions

2700 ebooks on israel and palestine, available for free

thorough article by storiesfromgaza, dated 10/30/23

targeted boycott + bds

how to find state/congressional contacts, bds, email template, donation links

sudan and congo

egypt, us/uk/canada/europe congressional contacts

direct links to help palestine

educate yourself (twitter links)

translating gaza (instagram link)

bds/targeted boycott information

compilation of palestine info and how to support it (masterpost), dated 10/28/23

latest info as of 11/3/23 and large amounts of immediate action to take (masterpost)

history of palestine and israel - articles, books, films, social media (masterpost)

socials to follow

journalists in north gaza

btselem

its official: tumblr is selling our data to Midjourney

404 Media

Tumblr and Wordpress to Sell Users’ Data to Train AI Tools

Internal documents obtained by 404 Media show that Tumblr staff compiled users' data as part of a deal with Midjourney and OpenAI.

we'd been hearing rumors about this for a bit but now its open and out there. some details from this article

it goes without saying, but if @staff goes through with this its going to be an utter shitshow and im all but certain the website will not survive it.

🍉Data sources under the cut🍉