#Difference Between

[humairahhh]

Pinterest is the girls safe place where everything is just cute and polite.

Tumblr is the mens safe place where they say they want to fuck you and pound that pussy until you're bred.

See the difference?

[callmespikey]

Recently, I have been reading a lot of Kevin Lordi's analysis guide of each episode of Ed, Edd n Eddy, and I must say it has been enlightening.

Some of you may be familiar with the character Kevin voiced by actress Kathleen Barr.

It might come as a surprise to some that I am originally from Norway. Interestingly, in the Norwegian dubbed version, Kevin's name was not used in show. This could be due to either his name being unpopular or was uncommon among Norwegian viewers. Instead they opted for the most common Norwegian name at the time "Kjetil," which means "kettle," "cauldron," or "helmet" in Norwegian.

I am both amused by the fact that my name coincides with a character's in a way that bears my own name. Jep that’s right my name is also Kjetil.

[jcmarchi]

Researchers study differences in attitudes toward Covid-19 vaccines between women and men in Africa

New Post has been published on https://thedigitalinsider.com/researchers-study-differences-in-attitudes-toward-covid-19-vaccines-between-women-and-men-in-africa/

Researchers study differences in attitudes toward Covid-19 vaccines between women and men in Africa

While many studies over the past several years have examined people’s access to and attitudes toward Covid-19 vaccines, few studies in sub-Saharan Africa have looked at whether there were differences in vaccination rates and intention between men and women. In a new study appearing in the journal Frontiers in Global Women’s Health, researchers found that while women and men self-reported similar Covid-19 vaccination rates in 2022, unvaccinated men expressed more intention to get vaccinated than unvaccinated women.

Women tend to have better health-seeking behaviors than men overall. However, most studies relating to Covid-19 vaccination have found that intention has been lower among women. “We wondered whether this would hold true at the uptake level,” says Rawlance Ndejjo, a leader of the new study and an assistant lecturer in the Department of Disease Control and Environmental Health at Makerere University.

The comparable vaccination rates between men and women in the study is “a good thing to see,” adds Lula Chen, research director at MIT Governance Lab (GOV/LAB) and a co-author of the new study. “There wasn’t anything gendered about how [the vaccine] was being advertised or who was actually getting access to it.”

Women’s lower intention to vaccinate seemed to be driven by concerns about vaccine safety, suggesting that providing factual information about vaccine safety from trusted sources, like the Ministry of Health, could increase uptake.

The work is a collaboration between scholars from the MIT GOV/LAB, Makerere University’s School of Public Health in Uganda, University of Kinshasa’s School of Public Health in the Democratic Republic of the Congo (DRC), University of Ibadan’s College of Medicine in Nigeria, and Cheikh Anta Diop University in Senegal. 

Studying vaccine availability and uptake in sub-Saharan Africa

The authors’ collaboration began in 2021 with research into Covid-19 vaccination rates, people’s willingness to get vaccinated, and how people’s trust in different authorities shaped attitudes toward vaccines in Uganda, the DRC, Senegal, and Nigeria. A survey in Uganda found that people who received information about Covid-19 from health workers were more likely to be vaccinated, stressing the important role people who work in the health-care system can play in vaccination efforts.

Work from other scientists has found that women were less likely to accept Covid-19 vaccines than men, and that in low- and middle-income countries, women also may be less likely to get vaccinated against Covid-19 and less likely to intend to get vaccinated, possibly due to factors including lower levels of education, work obligations, and domestic care obligations.

Previous studies in sub-Saharan Africa that focused on differences between men and women with intention and willingness to vaccinate were inconclusive, Ndejjo says. “You would hardly find actual studies on uptake of the vaccines,” he adds. For the new paper, the researchers aimed to dig into uptake.

People who trust the government and health officials were more likely to get vaccinated

The researchers relied on phone survey data collected from adults in the four countries between March and July 2022. The surveys asked people about whether they’d been vaccinated and whether those who were unvaccinated intended to get vaccinated, as well as their attitudes toward Covid-19, their trust in different authorities, demographic information, and more.

Overall, 48.5 percent of men said they had been vaccinated, compared to 47.9 percent of women. Trust in authorities seemed to play a role in people’s decision to vaccinate — receiving information from health workers about Covid-19 and higher trust in the Ministry of Health were both correlated with getting vaccinated for men, whereas higher trust in the government was correlated with vaccine uptake in women.

Lower interest in vaccines among women seemed related to safety concerns

A smaller percentage of unvaccinated women (54 percent) said they intended to get vaccinated, compared to 63.4 percent of men. More unvaccinated women said they had concerns about the vaccine’s safety than unvaccinated men, which could be driving their lower intention.

The researchers also found that unvaccinated women and men over 40 had similar levels of intention to get vaccinated — lower intention in women under 40 may have driven the difference between men and women. Younger women could have concerns about vaccines related to pregnancy, Chen says. If this is the case, the research suggests that officials need to provide additional reassurance to pregnant people about vaccine safety, she adds.

Trust in authorities also contributed to people’s intention to vaccinate. Trust in the Ministry of Health was tied to higher intention to vaccinate for both men and women. Men with more trust in the World Health Organization were also more likely to intend to vaccinate.

“There’s a need to deal with a lot of the myths and misconceptions that exist,” Ndejjo says, as well as ensure that people’s concerns related to vaccine safety and effectiveness are addressed. Officials need “to work with trusted sources of information to bridge some of the gaps that we observe,” he adds. People need to be supported in their decision-making so they can make the best decisions for their health.

“This research highlights linkages between citizen trust in government, their willingness to get vaccines, and, importantly, the differences between men and women on this issue — differences that policymakers will need to understand in order to design more targeted, gender-specific public health interventions,” says study co-author Lily L. Tsai, who is MIT GOV/LAB’s director and founder and the Ford Professor of Political Science at MIT.

This project was funded by the Bill & Melinda Gates Foundation.

[brother-hermes]

DEMYSTIFYING KABBALAH

I’m sure a lot of you have run into a lot of backlash online whenever you begin studying the ancient art of Kabbalah. The vast majority of the confusion comes from how we use the term in our modern minds. Sprinkle in several different schools of thought with wildly different takes and it’s no wonder we can’t seem to reach a conclusion. Let’s journey through the various disciplines under the blanket term Kabbalah a bit and clear it a bit.

[greenpanda-basicfakewitch]

Pagan. Witch. Wiccan...whats the difference?

[I can't make heads or tales with this, so take this as you will I did the best I could to make it simple for myself to understand]

“What IS the difference?”

“Wicca is a tradition of Witchcraft that was brought to the public by Gerald Gardner, in the 1950’s. [Source]

There is a great deal of debate among the pagan community about whether or not Wicca is truly the same form of witchcraft that the ancients practised. Regardless, many people use the term Wicca and Witchcraft interchangeably.

Paganism is an umbrella term used to apply to a number of different earth-based faiths.

Wicca falls under that heading, although not all Pagans are Wiccan.

So in a nutshell, All Wiccans are Witches but not all Witches are Wiccans. All Wiccans are pagans but not all Pagans are witches.

Some Witches are pagans but some are not. Some Pagans use the practice of witchcraft while others choose not to.”

__________________________________________________________

Pagan: Is an umbrella term, it is derived from Pagnus, it mostly consists of old traditions before christianity spread, it described people who lived in rural areas and those same country folk were often the last holdouts clinging to their old religions. It passed down by word of mouth and was never a written text. Which is why most religions had been lost to time. Pagan was coined to mean the people who didn’t worship the god of Abraham. 

 [Paganism, in my opinion, would mean the olde traditions of Witchcraft. Not all Pagans are Witches or Wiccans as its both a subset of this religion like a tree branch; it does cross correlate and bleed into the other subgroups occasionally.]

Wiccan: Wiccan was coined when Gerald Gardner came across a Witches coven and began to site and record all of his findings, and published his book in the 1950's, [Personally I thought Margarat Murray, was the founder but alas...[

He had based Wicca on findings from the old Pagan traditions; however other pagans and witches were happy to practise their own spiritual path without converting to wicca.

Therefore “PAGAN.” Is an umbrella term that includes many different spiritual belief systems- Wicca is just one of many.

Christian > Lutheran or Methodist or Jehovah's Witness. Pagan > Wiccan or Asatru or Dianic or Eclectic Witch.

People who practise witchcraft aren’t always wiccans and Pagans and hold their craft separate from the two groups. And most witches use their own religions to include in their craft. There are witches who embrace the Christian god alongside the Wiccan Goddess- Alongside Judaism, and Atheist witches who practise magic but do not follow a deity.

____________________________________________________________

Wicca.

Wicca is a religion of empowerment, it is taking control of your life and your future. Wicca is living in tune with Nature and about creating a balance between all things, light and dark, black and white, masculine and feminine.

 Wiccans believe in a god and goddess.

The goddess gave birth to the universe including the god who is her consort, so the goddess is all things. We believe that everything is connected through the goddess, we are the universe and the universe is inside us. 

Everything is connected.

We are all connected to each other biologically, to the earth chemically and to the rest of the universe of the same stuff the stars are made of. All of Nature is connected by a universal force, Wiccans call this magic [ Crowley, changed magic to Magick to differentiate the magic around us and separate it from Magician parlour tricks/ trick mirrors and smoke/glass]

*When we do Spells, chants or incantations we connect to this force, Wicca is a peaceful religion. There is NO satan or Devil in Wicca. That would be Satanists.

"The devil is a ‘Christian’ concept and has nothing to do with Wicca, we do not have any demons, Wiccans believe in a law that decrees ‘Harm none’ We believe in Karma, that any bad we give out will come back to us three-fold."

[scentedpoetrywitch]

which color pf princess daisy is even so much more ?

[postersbykeith]

[study-tonight-1]

[anths-girl]

This IS actually useless information...and also funny as fuck... 😆

guy who is fun-ruiningly pedantic about the differences between a labyrinth and a maze

[witchhickx]

Mean Girls (2004) House MD (2009)

[atalana]

the curse of adhd:

i will remember with absolute clarity, when the thought strikes me that i have a text to send someone, that this is the fourth time in three days i've attempted to send this specific text

i will forget, in the time it takes me to pick up my phone, that i picked it up intending to send a text

[sam4s]

I just saw them on the street

[jcmarchi]

Your AI is More Powerful Than You Think

New Post has been published on https://thedigitalinsider.com/your-ai-is-more-powerful-than-you-think/

Your AI is More Powerful Than You Think

A team of scientists just found something that changes a lot of what we thought we knew about AI capabilities. Your models aren’t just processing information – they are developing sophisticated abilities that go way beyond their training. And to unlock these abilities, we need to change how we talk to them.

The Concept Space Revolution

Remember when we thought AI just matched patterns? New research has now cracked open the black box of AI learning by mapping out something they call “concept space.” Picture AI learning as a multi-dimensional map where each coordinate represents a different concept – things like color, shape, or size. By watching how AI models move through this space during training, researchers spotted something unexpected: AI systems don’t just memorize – they build sophisticated understanding of concepts at different speeds.

“By characterizing learning dynamics in this space, we identify how the speed at which a concept is learned is controlled by properties of the data,” the research team notes. In other words, some concepts click faster than others, depending on how strongly they stand out in the training data.

Here’s what makes this so interesting: when AI models learn these concepts, they do not just store them as isolated pieces of information. They actually develop the ability to mix and match them in ways we never explicitly taught them. It’s like they are building their own creative toolkit – we just have not been giving them the right instructions to use it.

Think about what this means for AI projects. Those models you are working with might already understand complex combinations of concepts that you haven’t discovered yet. The question is not whether they can do more – it’s how to get them to show you what they are really capable of.

Unlocking Hidden Powers

Here’s where things get fascinating. The researchers designed an elegant experiment to reveal something fundamental about how AI models learn. Their setup was deceptively simple: they trained an AI model on just three types of images:

Large red circles

Large blue circles

Small red circles

Then came the key test: could the model create a small blue circle? This wasn’t just about drawing a new shape – it was about whether the model could truly understand and combine two different concepts (size and color) in a way it had never seen before.

What they discovered changes how we think about AI capabilities. When they used normal prompts to ask for a “small blue circle,” the model struggled. However, the model actually could make small blue circles – we just were not asking the right way.

The researchers uncovered two techniques that proved this:

“Latent intervention” – This is like finding a backdoor into the model’s brain. Instead of using regular prompts, they directly adjusted the internal signals that represent “blue” and “small.” Imagine having separate dials for color and size – they found that by turning these dials in specific ways, the model could suddenly produce what seemed impossible moments before.

“Overprompting” – Rather than simply asking for “blue,” they got extremely specific with color values. It’s like the difference between saying “make it blue” versus “make it exactly this shade of blue: RGB(0.3, 0.3, 0.7).” This extra precision helped the model access abilities that were hidden under normal conditions.

Both techniques started working at exactly the same point in the model’s training – around 6,000 training steps. Meanwhile, regular prompting either failed completely or needed 8,000+ steps to work. And this was not a fluke – it happened consistently across multiple tests.

This tells us something profound: AI models develop capabilities in two distinct phases. First, they actually learn how to combine concepts internally – that’s what happens around step 6,000. But there’s a second phase where they learn how to connect these internal abilities to our normal way of asking for things. It’s like the model becomes fluent in a new language before it learns how to translate that language for us.

The implications are significant. When we think a model cannot do something, we might be wrong – it may have the ability but lack the connection between our prompts and its capabilities. This does not just apply to simple shapes and colors – it could be true for more complex abilities in larger AI systems too.

When researchers tested these ideas on real-world data using the CelebA face dataset, they found the same patterns. They tried getting the model to generate images of “women with hats” – something it had not seen in training. Regular prompts failed, but using latent interventions revealed the model could actually create these images. The capability was there – it just wasn’t accessible through normal means.

Park et al., Harvard University & NTT Research

The Key Takeaway

We need to rethink how we evaluate AI capabilities. Just because a model might not be able to do something with standard prompts does not mean it cannot do it at all. The gap between what AI models can do and what we can get them to do might be smaller than we thought – we just need to get better at asking.

This discovery isn’t just theoretical – it fundamentally changes how we should think about AI systems. When a model seems to struggle with a task, we might need to ask whether it truly lacks the capability or if we’re just not accessing it correctly. For developers, researchers, and users alike, this means getting creative with how we interact with AI – sometimes the capability we need is already there, just waiting for the right key to unlock it.

[differenceguide]

What is the difference between?

Want to know differences between things? You found the right place..

Click here - https://differenceguide.com

[louisegluckpdf]

labs that are also churches. to me

(1. annie dillard, teaching a stone to talk 2. the deep underground neutrino experiment, a.k.a. DUNE 3. the large hadron collider 4. the sudbury neutrino observatory)