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Revealed: How much regular sex each generation is having

While it's often seen as a taboo subject, researchers from Kinsey Institute at Indiana University, have just revealed their report on the sex lives of thousands of people around the world and across different generations. The report, titled The State of Dating: How Gen Z is Redefining Sexuality and Relationships is based on data from over 3,310 people of the dating app, Feeld. The participants, who came from 71 different countries and between 18-75 years old, were surveyed about their sex lives and results are not what you'd expect. Gen Z is having less sex, fewer partners and fewer relationships than other generations, reporting that on average they had had sex three times in the last month. "Gen Z and Boomers exhibited nearly identical sexual frequencies, suggesting that both the youngest and oldest adults are having the least sex," the researchers, led by Dr Justin Lehmiller, wrote in the report. Millennials and Gen X reported slightly higher figures, with both groups having sex five times in the last month. "Also, nearly half of Gen Z reported that they were single, compared to only one-ﬁfth of Millennials, Gen X, and Boomers." Despite having the least sex, Gen Z appears to be the most adventurous group in the bedroom, with 55 per cent of them saying they'd discovered a new kink since joining the app compared to 49 per cent of Millennials, 39 per cent of Gen X, and 33 per cent of Boomers. Researchers said there are two possible explanations for this. "One is simply that older adults have had more time to learn and discover what they enjoy about sex, so they may have already uncovered their kinks. "However, the other is that it also appears to be the case that younger adults today have a greater overall interest in kink than older adults, which may create greater openness to exploring and learning about one's kinks." The researchers hope that their findings will help shed new light on the evolution of sex, gender, sexuality and relationships. "Despite the longstanding tendency of humans to narrowly categorize sexuality and relationships, they have always existed on a continuum, and that continuum will only evolve and expand further as Gen Z and future generations continue their pursuit of sexual and relational self-discovery," they wrote. "The more that we can understand and embrace this simple fact of human life, the better suited we will all be to pursuing pleasure and happiness." Images: Shutterstock

Relationships

The best destinations for multi-generational holidays

As summer crawls forward, more and more people are planning their holidays, while a new trend shows that families are opting for multi-generational getaways. According to new research by<a href="https://www.clubmed.com.au/"> Club Med</a>, almost half (43%) of Aussies plan on taking a holiday in the next 12 months with their kids, parents and grandparents in tow. There are some destinations more suited to multi-generational travel than others, with these four international cities topping the list of best places to travel with families. Bali One of Australia’s favourite overseas holiday destinations, Bali offers a tropical paradise of warm weather and sunny days. The Indonesian paradise boasts the perfect backdrop for families looking for a blend of rich culture, water activities and relaxation, from forest exploring trips and beach days, to spa retreats and delicious food. With its array of family-friendly resorts and diverse attractions, Bali provides a seamless blend of relaxation and adventure. Phuket The Thai coastal city of Phuket is a top destination for families looking for a holiday that blends culture with leisure. Phuket is one of Thailand's best playground for families featuring gentle waves ideal for children and an array of cultural experiences that the whole family can enjoy. From exploring temples and taking part in cooking classes to snorkelling and having relaxing beach days, Phuket has something for everyone. Japan If you’re looking for a winter holiday for all the family to enjoy, you can’t go past the snowy mountains of northern Japan. Hokkaido's diverse range of ski resorts offer family-friendly amenities and excursions, such as relaxing in hot springs, ice fishing and snow sled expeditions. Mauritius A hidden paradise of the Indian Ocean, Mauritius offers an enriching family getaway that has something for all ages. Thanks to its cultural tapestry shaped by the indigenous Mauritian Creole population and French, British, Indian, African, and Chinese influences, Mauritius boasts a huge array of activities and cuisine. The island's lush forests blend perfectly with its stunning coastline, offering a stunning backdrop for outdoor family adventures like hiking, snorkelling with tropical fish, golf or simply sitting back at a beach bar. Image credits: Shutterstock

International Travel

Popular names Generation Alpha believe are “for old people”

Today's youth have a very different idea of what constitutes an "old person" name, and one mum was left flabbergasted after a conversation she had with her six-year-old daughter about her classmates’ names. “You know what I find wild? I have an eight-year-old and a six-year-old, and the names of their friends, I can’t even pronounce some of them,” Australian entrepreneur and mum-of-two Steph Pase said in a now viral TikTok. “I asked her, so do you have anyone in your year called Sarah, Alex, Jack or Daniel? “She laughed and said ‘they’re old people names!’.” She then probed her daughter with a few other common names saying: “I asked, what about Steph … Michelle … she’s like no,” she laughed. “It just makes me realise, that we are that generation … our parents’ generation. Names like Helen, Karen or Joanna … now we’re that generation. “We have the old people names.” She captioned her video with the text "Millennial names are officially old" and many of her followers agreed with the upsetting revelation. “In my classes we have Vision, Stoney, Diesel, Hennesy, Blaze, Cruze, Kingdom, Ace, Boss, Oasis, Mercedes, Destiny,” one shared. “Luna, Harper & Arlo are the new Ashley, Jessica & Stephanie,” another said. “The names in my kids classes are Lamb, Honey, Hazard, Blu, Bambi,” another added. “My six year old has a girl in his class named ‘Summah’ and another called ‘Phox’ because Fox was too mainstream,” a fourth wrote. “My daughter has a Moses, Twayla, Lorde it’s wild …” a fifth commented. Baby name expert and CEO of Fifth Dimension Consulting Lyndall Spooner told news.com.au that there are a few reasons why there's been a shift in children's names over the years, including popularity, less pressure to follow traditional family names, and a trend towards more gender-neutral names. “Parents want their children to be unique and so they use nouns or verbs as names, or character names from books, TV shows, movies, shopping chains or cars," she said. And while the "millennial names" are not as common, "they are not extinct". “We will continue to see changes in baby names and the ‘recycling’ of older names that become popular again,” she told the publication. Images: TikTok

Family & Pets

Your parents’ income doesn’t determine yours – unless you’re ultra rich or extremely poor

<div class="theconversation-article-body"><a href="https://theconversation.com/profiles/catherine-de-fontenay-5631">Catherine de Fontenay</a>, <a href="https://theconversation.com/institutions/the-university-of-melbourne-722">The University of Melbourne</a> Australia is among the strongest global performers in terms of income mobility between the generations, according to a new <a href="https://www.pc.gov.au/research/completed/fairly-equal-mobility">Productivity Commission report</a>. The country’s long-term economic growth has led to each generation earning more than the last, on average. Our report finds 67% of the so-called <a href="https://www.businessinsider.com/xennials-born-between-millennials-and-gen-x-2017-11">“Xennial”</a> generation – those born in 1976–1982, on the cusp of the Millennial/Gen X divide – earn more than their parents did at a similar age. This is particularly true of those born into poorer families. <hr /> <iframe id="NsmB3" class="tc-infographic-datawrapper" style="border: 0;" src="https://datawrapper.dwcdn.net/NsmB3/" width="100%" height="400px" frameborder="0" scrolling="no"></iframe> <hr /> When we look at where people rank in an income distribution, the picture is a little less rosy. While children with parents at the bottom or top of the income scale are more likely to remain there, almost 15% of people with parents in the lowest income decile, remain there while just 6% move to the top. And those living in poverty - who often include renters, people from migrant backgrounds who don’t speak English at home and single parents - face some of the biggest barriers to improving their economic lot. <a href="https://www.pc.gov.au/research/completed/fairly-equal-mobility">Fairly Equal? Economic mobility in Australia</a>, released on Thursday, measures intergenerational income mobility by examining the relationship between a person’s income and the eventual income of their children. <h2>Measuring inequality</h2> Most countries anxiously monitor income distribution and economic mobility amid concerns inequality may be increasing. And countries with high inequality tend to have low mobility: the rungs of the social ladder are far apart making it difficult to move up to the next level. If mobility is low, the consequences are serious. Low mobility is discouraging, unproductive and unstable. If young people have little chance of achieving their aspirations, their wellbeing is affected. <a href="https://ideas.repec.org/p/cor/louvco/2023026.html">Social unrest is more likely</a>. And the abilities of young people from less affluent backgrounds are under-used. The next tech entrepreneur Steve Jobs may never be discovered, and many other opportunities are lost. In Australia we are used to thinking of ourselves as having inequality and mobility somewhere between Scandinavia and the US; but that comparison is not as comforting as it used to be, if inequality and mobility are worsening in the US. Our report considers people’s income mobility over the course of their lives, and across generations. If income mobility is low, people will struggle to recover from initial disadvantage, and those born into privilege will be financially secure. First we look at whether people move in the income distribution; there is a surprising amount of movement. And we look for evidence people can access opportunities throughout life, after setbacks. <h2>Recovering from setbacks</h2> There is not much evidence of recovery after a person experiences a severe illness or a job loss, perhaps because the causal factors are still at work. More encouragingly, the income of women who experience separation <a href="https://melbourneinstitute.unimelb.edu.au/__data/assets/pdf_file/0020/4815110/HILDA-User-Manual-Release-22.0.pdf">does increase</a>, eventually restoring the buying power of their household. This is in part due to well-targeted government support. For intergenerational mobility, we extended the dataset developed by <a href="https://www.aeaweb.org/articles?id=10.1257/jel.20211413">an analytical dataset</a> to measure the influence parents’ income had on the income their offspring were likely to earn. We found Australia’s intergenerational mobility is actually higher than the <a href="https://onlinelibrary.wiley.com/doi/10.1111/sjoe.12197">Scandinavian</a> countries, and second only to <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3662560">Switzerland</a> among comparable studies. <hr /> <iframe id="5DFB9" class="tc-infographic-datawrapper" style="border: 0;" src="https://datawrapper.dwcdn.net/5DFB9/" width="100%" height="400px" frameborder="0" scrolling="no"></iframe> <hr /> In all countries studied there was some link between parents’ income mobility and that of children, because parents pass on tastes, ambitions and abilities. And there was greater correlation between the incomes of mothers and daughters, and fathers and sons than with parents of the opposite gender, perhaps because of role model effects. <hr /> <iframe id="BJ4hD" class="tc-infographic-datawrapper" style="border: 0;" src="https://datawrapper.dwcdn.net/BJ4hD/" width="100%" height="400px" frameborder="0" scrolling="no"></iframe> <hr /> While Australia’s strong income mobility between generations is remarkable, it’s concerning there is less mobility among those at the very bottom and top of the income distribution scale. The fact children born into the poorest families were more likely to remain in the lowest deciles, while those born into the top earning families tended to remain in the top deciles, suggests privilege is often passed on. People who grew up in frequently poor households were <a href="https://melbourneinstitute.unimelb.edu.au/__data/assets/pdf_file/0009/3537441/HILDA-Statistical-report-2020.pdf">three time more likely</a> to be poor at age 26 to 32 than those who never experienced poverty. <hr /> <iframe id="SxHBo" class="tc-infographic-datawrapper" style="border: 0;" src="https://datawrapper.dwcdn.net/SxHBo/" width="100%" height="400px" frameborder="0" scrolling="no"></iframe> <hr /> And consistent with <a href="https://www.aihw.gov.au/getmedia/37c2c8b7-328c-41e1-bace-87ed7a551777/australias-welfare-chapter-2-summary-18sept2019.pdf.aspx">other studies</a> we found children whose family received government payments were twice as likely to receive support as adults, compared with those whose families received no help. <h2>Movement in the middle</h2> Taken together, these results suggest some segmentation of opportunities. In the middle of the income distribution, there are opportunities to get ahead, and individuals’ careers are not restricted by their families’ circumstances. At the bottom, things are a lot more “sticky”, and finding opportunities to permanently escape poverty is more difficult. Some of this boils down where people live, peers, school quality and local job options. Researchers <a href="https://www.aeaweb.org/articles?id=10.1257/jel.20211413">Deutscher and Mazumder</a> (2023) have shown regional economic conditions have a big impact on mobility, and we show remoteness limits movement out of poverty. Overall, the mobility picture is extremely good news for most Australians. But this should not blind us how difficult it is to move out of poverty, especially for those in remote areas. Identifying where mobility fails to deliver allows us to focus our policy response.<img style="border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important;" src="https://counter.theconversation.com/content/234158/count.gif?distributor=republish-lightbox-basic" alt="The Conversation" width="1" height="1" /> <a href="https://theconversation.com/profiles/catherine-de-fontenay-5631">Catherine de Fontenay</a>, Honorary Fellow, Department of Economics, <a href="https://theconversation.com/institutions/the-university-of-melbourne-722">The University of Melbourne</a> Image credits: Shutterstock This article is republished from <a href="https://theconversation.com">The Conversation</a> under a Creative Commons license. Read the <a href="https://theconversation.com/your-parents-income-doesnt-determine-yours-unless-youre-ultra-rich-or-extremely-poor-234158">original article</a>. </div>

Money & Banking

Boomers vs millennials? Free yourself from the phoney generation wars

<a href="https://theconversation.com/profiles/bobby-duffy-98570">Bobby Duffy</a>, <a href="https://theconversation.com/institutions/kings-college-london-1196">King's College London</a> Generational thinking is a big idea that’s been horribly corrupted and devalued by endless myths and stereotypes. These clichés have fuelled fake battles between “snowflake” millennials and “selfish” baby boomers, with younger generations facing a “war on woke” and older generations accused of “stealing” the future from the young. As I argue in my book, <a href="https://atlantic-books.co.uk/book/generations/">Generations</a>, this is a real shame. A more careful understanding of what’s really different between generations is one of the best tools we have to understand change – and predict the future. Some of the great names in sociology and philosophy saw understanding generational change as central to understanding society overall. <a href="http://dhspriory.org/kenny/PhilTexts/Comte/Philosophy2.pdf">Auguste Comte</a>, for example, identified the generation as a key factor in “the basic speed of human development”. He argued that “we should not hide the fact that our social progress rests essentially upon death; which is to say that the successive steps of humanity necessarily require a continuous renovation … from one generation to the next”. We humans get set in our ways once we’re past our formative years, and we need the constant injection of new participants to keep society moving forward. Understanding whether, and how, generations are different is vital to understanding society. The balance between generations is constantly shifting, as older cohorts die out and are replaced by new entrants. If younger generations truly do have different attitudes or behaviours to older generations, this will reshape society, and we can, to some extent, predict how it will develop if we can identify those differences. But in place of this big thinking, today we get clickbait headlines and bad research on millennials “<a href="https://www.businessinsider.com/millennials-hate-napkins-2016-3?r=US&IR=T">killing the napkin industry</a>” or on how baby boomers have “<a href="https://www.theatlantic.com/ideas/archive/2019/06/boomers-are-blame-aging-america/592336/">ruined everything</a>”. We’ve fallen a long way. <h2>Myth busting</h2> To see the true value of generational thinking, we need to identify and discard the many myths. For example, as I outline in the book, gen Z and millennials are not lazy at work or disloyal to their employers. They’re also no more materialistic than previous generations of young: a focus on being rich is something we tend to grow out of. Old people are not uncaring or unwilling to act on climate change: in fact, they are more likely than young people to boycott products for social purpose reasons. And our current generation of young are not a particularly unusual group of “culture warriors”. Young people are always at the leading edge of change in cultural norms, around race, immigration, sexuality and gender equality. The issues have changed, but the gap between young and old is not greater now than in the past. Meanwhile, there are real, and vitally important, generational differences hidden in this mess. To see them, we need to separate the three effects that explain all change in societies. Some patterns are simple “lifecycle effects”, where attitudes and behaviours are to do with our age, not which generation we are born into. Some are “period effects” – where everyone is affected, such as in a war, economic crisis or a pandemic. And finally, there are “cohort effects”, which is where a new generation is different from others at the same age, and they stay different. It’s impossible to entirely separate these distinct forces, but we can often get some way towards it – and when we do, we can predict the future in a much more meaningful way. There are many real generational differences, in vitally important areas of life. For example, the probability of you owning your own home is hugely affected by when you were born. Millennials are around half as likely to be a homeowner than generations born only a couple of decades earlier. There is also a real cohort effect in experience of mental health disorders, particularly among recent generations of young women. Our relationship with alcohol and likelihood of smoking is also tied to our cohort, with huge generational declines in very regular drinking and smoking. Each of these point to different futures, from increased strain on mental health services to declining alcohol sales. But lifecycle and period effects are vitally important too. For example, there is truth in the idea that we grow more conservative as we age. One analysis suggests that this ageing effect is worth around <a href="https://www.sciencedirect.com/science/article/abs/pii/S0261379413000875">0.35% to the Conservatives each year</a>, which may not sound like a lot, but is very valuable over the course of a political lifetime. And, of course, the pandemic provides a very powerful example of how period effects can dramatically change things for us all. <h2>Reaching beyond the avocado</h2> When there is such richness in the realities, why are there so many myths? It’s partly down to bad marketing and workplace research – that is, people jumping on the generation bandwagon to get media coverage for their products or to sell consultancy to businesses on how to engage young employees. This has become its own mini-industry. In 2015, US companies spent up to US$70 million (£51 million) on this sort of “advice” <a href="https://www.wsj.com/articles/helping-bosses-decode-millennialsfor-20-000-an-hour-1463505666">according to the Wall Street Journal</a>, with some experts making as much as US$20,000 an hour. Over 400 LinkedIn users now describe themselves solely as a “millennial expert” or “millennial consultant”. Campaigners and politicians also play to these imagined differences. Our increasing focus on “<a href="https://www.kcl.ac.uk/policy-institute/assets/culture-wars-in-the-uk.pdf">culture wars</a>” often involves picking out particular incidents in universities, such as the <a href="https://www.bbc.co.uk/news/uk-england-manchester-45717841">banning of clapping</a> at events or the <a href="https://www.bbc.co.uk/news/uk-england-oxfordshire-57409743">removal of a portrait of the Queen</a> to exaggerate how culturally different young people today are. Maybe less obviously, politicians such as former US President Barack Obama repeatedly lionise coming generations as more focused on equality, when the evidence shows they’re often not that different. These assertions are not only wrong, but create false expectations and divides. Some have had enough, calling on the Pew Research Center in the US, which has been a champion of generational groups, to <a href="https://www.washingtonpost.com/opinions/2021/07/07/generation-labels-mean-nothing-retire-them/&data=04%257C01%257C">stop conducting this type of analysis</a>. I think that misses the point: it’s how it’s applied rather than the idea of generations that’s wrong. We should defend the big idea and call out the myths, not abandon the field to the “millennial consultants”.<img style="border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important;" src="https://counter.theconversation.com/content/167138/count.gif?distributor=republish-lightbox-basic" alt="The Conversation" width="1" height="1" /> <a href="https://theconversation.com/profiles/bobby-duffy-98570">Bobby Duffy</a>, Professor of Public Policy and Director of the Policy Institute, <a href="https://theconversation.com/institutions/kings-college-london-1196">King's College London</a> Image credits: Shutterstock This article is republished from <a href="https://theconversation.com">The Conversation</a> under a Creative Commons license. Read the <a href="https://theconversation.com/boomers-vs-millennials-free-yourself-from-the-phoney-generation-wars-167138">original article</a>.

Mind

After 180 years, new clues are revealing just how general anaesthesia works in the brain

<div class="theconversation-article-body"><a href="https://theconversation.com/profiles/adam-d-hines-767066">Adam D Hines</a>, <a href="https://theconversation.com/institutions/queensland-university-of-technology-847">Queensland University of Technology</a> <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4773932/pdf/BLT.15.159293.pdf/">Over 350 million surgeries</a> are performed globally each year. For most of us, it’s likely at some point in our lives we’ll have to undergo a procedure that needs general anaesthesia. Even though it is one of the safest medical practices, we still don’t have a complete, thorough understanding of precisely how anaesthetic drugs work in the brain. In fact, it has largely remained a mystery since general anaesthesia was introduced into medicine over <a href="https://www.tandfonline.com/doi/full/10.3109/08941939.2015.1061826">180 years ago</a>. Our study published <a href="https://doi.org/10.1523/JNEUROSCI.0588-23.2024">in The Journal of Neuroscience today</a> provides new clues on the intricacies of the process. General anaesthetic drugs seem to only affect specific parts of the brain responsible for keeping us alert and awake. <h2>Brain cells striking a balance</h2> In a study using fruit flies, we found a potential way that allows anaesthetic drugs to interact with specific types of neurons (brain cells), and it’s all to do with proteins. Your brain has around <a href="https://onlinelibrary.wiley.com/doi/10.1002/cne.21974">86 billion neurons</a> and not all of them are the same – it’s these differences that allow general anaesthesia to be effective. To be clear, we’re not completely in the dark on <a href="https://linkinghub.elsevier.com/retrieve/pii/S0165614719300951">how anaesthetic drugs affect us</a>. We know why general anaesthetics are able to make us lose consciousness so quickly, thanks to a <a href="https://www.nature.com/articles/367607a0">landmark discovery made in 1994</a>. But to better understand the fine details, we first have to look to the minute differences between the cells in our brains. Broadly speaking, there are <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6591655/">two main categories of neurons in the brain</a>. The first are what we call “excitatory” neurons, generally responsible for keeping us alert and awake. The second are “inhibitory” neurons – their job is to regulate and control the excitatory ones. In our day-to-day lives, excitatory and inhibitory neurons are constantly working and balancing one another. <a href="https://www.nature.com/articles/npp2017294">When we fall asleep</a>, there are inhibitory neurons in the brain that “silence” the excitatory ones keeping us awake. This happens <a href="https://askdruniverse.wsu.edu/2018/01/07/why-do-we-get-tired/">gradually over time</a>, which is why you may feel progressively more tired through the day. General anaesthetics speed up this process by directly silencing these excitatory neurons without any action from the inhibitory ones. This is why your anaesthetist will tell you that they’ll “put you to sleep” for the procedure: <a href="https://www.nature.com/articles/nrn2372">it’s essentially the same process</a>. <h2>A special kind of sleep</h2> While we know why anaesthetics put us to sleep, the question then becomes: “why do we stay asleep during surgery?”. If you went to bed tonight, fell asleep and somebody tried to do surgery on you, you’d wake up with quite a shock. To date, there is no strong consensus in the field as to why general anaesthesia causes people to remain unconscious during surgery. Over the last couple of decades, researchers have proposed several potential explanations, but they all seem to point to one root cause. <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709148/#:%7E:text=At%20presynaptic%20part%2C%20voltage%2Dgated,anesthetics%20to%20inhibiting%20neurotransmitter%20release.">Neurons stop talking to each other</a> when exposed to general anaesthetics. While the idea of “cells talking to each other” may sound a little strange, it’s a <a href="https://qbi.uq.edu.au/brain-basics/brain/brain-physiology/action-potentials-and-synapses">fundamental concept in neuroscience</a>. Without this communication, our brains wouldn’t be able to function at all. And it allows the brain to know what’s happening throughout the body. <figure class="align-center zoomable"><a href="https://images.theconversation.com/files/593888/original/file-20240514-16-5fletd.png?ixlib=rb-4.1.0&q=45&auto=format&w=1000&fit=clip"><img src="https://images.theconversation.com/files/593888/original/file-20240514-16-5fletd.png?ixlib=rb-4.1.0&q=45&auto=format&w=754&fit=clip" sizes="(min-width: 1466px) 754px, (max-width: 599px) 100vw, (min-width: 600px) 600px, 237px" srcset="https://images.theconversation.com/files/593888/original/file-20240514-16-5fletd.png?ixlib=rb-4.1.0&q=45&auto=format&w=600&h=600&fit=crop&dpr=1 600w, https://images.theconversation.com/files/593888/original/file-20240514-16-5fletd.png?ixlib=rb-4.1.0&q=30&auto=format&w=600&h=600&fit=crop&dpr=2 1200w, https://images.theconversation.com/files/593888/original/file-20240514-16-5fletd.png?ixlib=rb-4.1.0&q=15&auto=format&w=600&h=600&fit=crop&dpr=3 1800w, https://images.theconversation.com/files/593888/original/file-20240514-16-5fletd.png?ixlib=rb-4.1.0&q=45&auto=format&w=754&h=754&fit=crop&dpr=1 754w, https://images.theconversation.com/files/593888/original/file-20240514-16-5fletd.png?ixlib=rb-4.1.0&q=30&auto=format&w=754&h=754&fit=crop&dpr=2 1508w, https://images.theconversation.com/files/593888/original/file-20240514-16-5fletd.png?ixlib=rb-4.1.0&q=15&auto=format&w=754&h=754&fit=crop&dpr=3 2262w" alt="Two branching structures in orange, green, blue and yellow colours on a black background." /></a><figcaption>Colourised neurons in the brain of a fly. Adam Hines</figcaption></figure> <h2>What did we discover?</h2> Our new study shows that general anaesthetics appear to stop excitatory neurons from communicating, but not inhibitory ones. <a href="https://www.jneurosci.org/content/40/21/4103">This concept isn’t new</a>, but we found some compelling evidence as to why only excitatory neurons are affected. For neurons to communicate, proteins have to get involved. One of the jobs these proteins have is to get neurons to release molecules called <a href="https://my.clevelandclinic.org/health/articles/22513-neurotransmitters">neurotransmitters</a>. These chemical messengers are what gets signals across from one neuron to another: dopamine, adrenaline and serotonin are all neurotransmitters, for example. We found that general anaesthetics impair the ability of these proteins to release neurotransmitters, but only in excitatory neurons. To test this, we used <a href="https://www.eneuro.org/content/8/3/ENEURO.0057-21.2021">Drosophila melanogaster fruit flies</a> and <a href="https://imb.uq.edu.au/research/facilities/microscopy/training-manuals/microscopy-online-resources/image-capture/super-resolution-microscopy">super resolution microscopy</a> to directly see what effects a general anaesthetic was having on these proteins at a molecular scale. Part of what makes excitatory and inhibitory neurons different from each other is that they <a href="https://journals.physiology.org/doi/full/10.1152/physrev.00007.2012">express different types of the same protein</a>. This is kind of like having two cars of the same make and model, but one is green and has a sports package, while the other is just standard and red. They both do the same thing, but one’s just a little bit different. Neurotransmitter release is a complex process involving lots of different proteins. If one piece of the puzzle isn’t exactly right, then general anaesthetics won’t be able to do their job. As a next research step, we will need to figure out which piece of the puzzle is different, to understand why general anaesthetics only stop excitatory communication. Ultimately, our results hint that the drugs used in general anaesthetics cause massive global inhibition in the brain. By silencing excitability in two ways, these drugs put us to sleep and keep it that way.<img style="border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important;" src="https://counter.theconversation.com/content/229713/count.gif?distributor=republish-lightbox-basic" alt="The Conversation" width="1" height="1" /> <a href="https://theconversation.com/profiles/adam-d-hines-767066">Adam D Hines</a>, Research fellow, <a href="https://theconversation.com/institutions/queensland-university-of-technology-847">Queensland University of Technology</a> Image credits: Shutterstock This article is republished from <a href="https://theconversation.com">The Conversation</a> under a Creative Commons license. Read the <a href="https://theconversation.com/after-180-years-new-clues-are-revealing-just-how-general-anaesthesia-works-in-the-brain-229713">original article</a>. </div>

Body

Are young people smarter than older adults? My research shows cognitive differences between generations are diminishing

<div class="theconversation-article-body"><a href="https://theconversation.com/profiles/stephen-badham-1531316">Stephen Badham</a>, <a href="https://theconversation.com/institutions/nottingham-trent-university-1338">Nottingham Trent University</a> We often assume young people are smarter, or at least quicker, than older people. For example, we’ve all heard that scientists, and even more so mathematicians, <a href="https://www.forbes.com/sites/nextavenue/2014/08/07/who-says-scientists-peak-by-age-50/">carry out their most important work</a> when they’re comparatively young. But my new research, <a href="https://www.sciencedirect.com/science/article/pii/S027322972400008X#:%7E:text=Highlights&text=Three%20review%20studies%20measure%20secular,%2C%20education%2C%20and%20overall%20health.">published in Developmental Review</a>, suggests that cognitive differences between the old and young are tapering off over time. This is hugely important as stereotypes about the intelligence of people in their sixties or older may be holding them back – in the workplace and beyond. Cognitive ageing is often measured by comparing young adults, aged 18-30, to older adults, aged 65 and over. There are a variety of tasks that older adults do not perform well on compared to young adults, such as memory, spatial ability and speed of processing, which often form the basis of <a href="https://theconversation.com/the-iq-test-wars-why-screening-for-intelligence-is-still-so-controversial-81428">IQ tests</a>. That said, there are a few tasks that older people do better at than younger people, such as reading comprehension and vocabulary. Declines in cognition are driven by a process called <a href="https://www.nature.com/collections/cbjacdabdf">cognitive ageing</a>, which happens to everyone. Surprisingly, age-related cognitive deficits start very early in adulthood, and declines in cognition have been measured as dropping in adults as young as just 25. Often, it is only when people reach older age that these effects add up to a noticeable amount. Common complaints consist of walking into a room and forgetting why you entered, as well as difficulty remembering names and struggling to drive in the dark. <h2>The trouble with comparison</h2> Sometimes, comparing young adults to older adults can be misleading though. The two generations were brought up in different times, with different levels of education, healthcare and nutrition. They also lead different daily lives, with some older people having lived though a world war while the youngest generation is growing up with the internet. Most of these factors favour the younger generation, and this can explain a proportion of their advantage in cognitive tasks. Indeed, much existing research shows that <a href="https://theconversation.com/iq-tests-are-humans-getting-smarter-158837">IQ has been improving</a> globally throughout the 20th century. This means that later-born generations are more cognitively able than those born earlier. This is even found when both generations are tested in the same way at the same age. Currently, there is growing evidence that <a href="https://www.pnas.org/doi/10.1073/pnas.1718793115">increases in IQ are levelling off,</a> such that, in the most recent couple of decades, young adults are no more cognitively able than young adults born shortly beforehand. Together, these factors may underlie the current result, namely that cognitive differences between young and older adults are diminishing over time. <h2>New results</h2> My research began when my team started getting strange results in our lab. We found that often the age differences we were getting between young and older adults was smaller or absent, compared to prior research from early 2000s. This prompted me to start looking at trends in age differences across the psychological literature in this area. I uncovered a variety of data that compared young and older adults from the 1960s up to the current day. I plotted this data against year of publication, and found that age deficits have been getting smaller over the last six decades. Next, I assessed if the average increases in cognitive ability over time seen across all individuals was a result that also applied to older adults specifically. Many large databases exist where groups of individuals are recruited every few years to take part in the same tests. I analysed studies using these data sets to look at older adults. I found that, just like younger people, older adults were indeed becoming more cognitively able with each cohort. But if differences are disappearing, does that mean younger people’s improvements in cognitive ability have slowed down or that older people’s have increased? I analysed data from my own laboratory that I had gathered over a seven-year period to find out. Here, I was able to dissociate the performance of the young from the performance of the older. I found that each cohort of young adults was performing to a similar extent across this seven-year period, but that older adults were showing improvements in both processing speed and vocabulary scores. <figure class="align-center "><img src="https://images.theconversation.com/files/591482/original/file-20240501-24-esxcic.png?ixlib=rb-4.1.0&q=45&auto=format&w=754&fit=clip" sizes="(min-width: 1466px) 754px, (max-width: 599px) 100vw, (min-width: 600px) 600px, 237px" srcset="https://images.theconversation.com/files/591482/original/file-20240501-24-esxcic.png?ixlib=rb-4.1.0&q=45&auto=format&w=600&h=333&fit=crop&dpr=1 600w, https://images.theconversation.com/files/591482/original/file-20240501-24-esxcic.png?ixlib=rb-4.1.0&q=30&auto=format&w=600&h=333&fit=crop&dpr=2 1200w, https://images.theconversation.com/files/591482/original/file-20240501-24-esxcic.png?ixlib=rb-4.1.0&q=15&auto=format&w=600&h=333&fit=crop&dpr=3 1800w, https://images.theconversation.com/files/591482/original/file-20240501-24-esxcic.png?ixlib=rb-4.1.0&q=45&auto=format&w=754&h=418&fit=crop&dpr=1 754w, https://images.theconversation.com/files/591482/original/file-20240501-24-esxcic.png?ixlib=rb-4.1.0&q=30&auto=format&w=754&h=418&fit=crop&dpr=2 1508w, https://images.theconversation.com/files/591482/original/file-20240501-24-esxcic.png?ixlib=rb-4.1.0&q=15&auto=format&w=754&h=418&fit=crop&dpr=3 2262w" alt="The figure shows data for a speed-based task where higher scores represent better performance." /><figcaption>The figure shows data for a speed-based task where higher scores represent better performance. <a class="license" href="http://creativecommons.org/licenses/by-sa/4.0/">CC BY-SA</a></figcaption></figure> I believe the older adults of today are benefiting from many of the factors previously most applicable to young adults. For example, the number of children who went to school <a href="https://education-uk.org/history/chapter12.html">increased significantly</a> in the 1960s – with the system being more similar to what it is today than what it was at the start of the 20th century. This is being reflected in that cohort’s increased scores today, now they are older adults. At the same time, young adults have hit a ceiling and are no longer improving as much with each cohort. It is not entirely clear why the young generations have stopped improving so much. Some research has <a href="https://doi.org/10.1016/j.intell.2016.10.002">explored maternal age, mental health and even evolutionary trends</a>. I favour the opinion that there is just a natural ceiling – a limit to how much factors such as education, nutrition and health can improve cognitive performance. These data have important implications for research into dementia. For example, it is possible that a modern older adult in the early stages of dementia might pass a dementia test that was designed 20 or 30 years ago for the general population at that time. Therefore, as older adults are performing better in general than previous generations, it may be necessary to revise definitions of dementia that depend on an individuals’ expected level of ability. Ultimately, we need to rethink what it means to become older. And there’s finally some good news. Ultimately, we can expect to be more cognitively able than our grandparents were when we reach their age.<img style="border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important;" src="https://counter.theconversation.com/content/229132/count.gif?distributor=republish-lightbox-basic" alt="The Conversation" width="1" height="1" /> <a href="https://theconversation.com/profiles/stephen-badham-1531316">Stephen Badham</a>, Professor of Psychology, <a href="https://theconversation.com/institutions/nottingham-trent-university-1338">Nottingham Trent University</a> Image credits: Getty Images This article is republished from <a href="https://theconversation.com">The Conversation</a> under a Creative Commons license. Read the <a href="https://theconversation.com/are-young-people-smarter-than-older-adults-my-research-shows-cognitive-differences-between-generations-are-diminishing-229132">original article</a>. </div>

Mind

Storytelling allows elders to transfer values and meaning to younger generations

<a href="https://theconversation.com/profiles/mary-ann-mccoll-704728">Mary Ann McColl</a>, <a href="https://theconversation.com/institutions/queens-university-ontario-1154">Queen's University, Ontario</a> If you spent time over the holidays with elderly relatives or friends, you may have heard many of the same stories repeated — perhaps stories you’d heard over the years, or even over the past few hours. Repeated storytelling can sometimes be unnerving for friends and families, raising concerns about a loved one’s potential cognitive decline, memory loss or perhaps even the onset of dementia. <a href="https://tenstories.ca/">Our research</a> at Queen’s University suggests there is another way to think about repeated storytelling that makes it easier to listen and engage with the stories. We interviewed 20 middle-aged adults who felt they had heard the same stories over and over from their aging parent. We asked them to tell us those stories and we recorded and transcribed them. We used a <a href="https://doi.org/10.1108/14439881211248356">narrative inquiry approach</a> to discover that repeated storytelling is a key method for elders to communicate what they believe to be important to their children and loved ones. Narrative inquiry uses the text of stories as research data to explore how people create meaning in their lives. <h2>Transmitting values</h2> Based on nearly 200 collected stories, we found that there are approximately <a href="https://doi.org/10.1111/scs.13121">10 stories</a> that older parents repeatedly tell to their adult children. The hypothesis was that repeated storytelling was about inter-generational transmission of values. By exploring the themes of those repeated stories, we could uncover the meaning and messages elders were communicating to their loved ones. The ultimate purpose was to offer a new and more constructive way of thinking about stories that we’ve heard many times before, and that can be otherwise perceived as alarming. <h2>Here’s what we have learned:</h2> <ol> <li> There are typically just 10 stories that people tell repeatedly. While 10 is not a magic number, it does seem to be about the right number to capture the stories that are told over and over. Interviewees felt that a set of approximately 10 allowed them to do justice to their parent’s stories. </li> <li> Among our interviewees, a significant number of their parents’ stories – 87 per cent — took place when they were in their teens or twenties. A person’s second and third decades are a time when they make many of the decisions that shape the rest of their lives; a time when values are consolidated and the <a href="https://doi.org/10.1080/09658211.2013.863358">adult identity is formed</a> </li> <li> What’s important about the 10 stories is not the factual details, but the lesson that was learned, or the value that was reinforced — values like loyalty toward friends, putting family first, maintaining a sense of humour even in hard times, getting an education, speaking up against injustice, and doing what’s right. </li> <li> Key themes in the stories reflected the significant events and prevailing values of the early to mid-20th century. Many of the stories revolved around the war, and both domestic and overseas experiences that were formative. Many of our interviewees heard stories about immigrating to Canada, starting out with very little, seeking a better life and working hard. Stories often reflected a more formal time when it was important to uphold standards, make a good impression, know one’s place and adhere to the rules. </li> <li> The stories elders tell appear to be curated for the individual receiving them. They would be different if told to another child, a spouse or a friend. </li> </ol> <h2>Tips for listening</h2> Our research offers some tips for listening to stories from elders: <ul> <li> Focus on just 10 stories. It can make the listening seem less overwhelming. </li> <li> Write them down. Writing challenges us to get the story straight. </li> <li> Notice your loved one’s role in the story, as the message is often contained in that role. </li> <li> Be attentive to feelings, sensations, tension and discomfort. These can be signals or clues to the meaning of a story. </li> <li> Finally, remember these stories are for you — selected and told in the context of your relationship with your loved one. As such, they are a gift from a loved one who is running out of time. </li> </ul> <h2>The importance of receiving stories</h2> Storytelling is an <a href="https://doi.org/10.1002/cad.20067">essential human process</a> and a universal experience associated with aging. Neuroscientists suggest that storytelling has practical survival value for individuals and communities, <a href="https://www.jonathangottschall.com/storytelling-animal">as well as social and psychological benefits</a>. It may be as powerful as medication or therapy for <a href="https://doi.org/10.1002/gps.1018">overcoming depression among elders</a>. Storytelling becomes especially important <a href="https://doi.org/10.1080/13607863.2017.1396581">when people become aware of their mortality</a> — when they are ill, suffering or facing death. People don’t necessarily tell the same stories over and over again because they’re losing cognitive function, but because the stories are important, and they feel we need to know them. Telling stories repeatedly isn’t about forgetfulness or dementia. It’s an effort to share what’s important. Our hope is that by better understanding elderly storytelling, caregivers may be able to listen in a different way to those repeated stories and understand the messages they contain. Those 10 stories can help us to know our loved one at a deeper level and assist our parent or grandparent with an important developmental task of old age. This research offers a constructive way for caregivers to hear the repeated stories told by their aging parents, and to offer their loved one the gift of knowing they have been seen and heard.<img style="border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important;" src="https://counter.theconversation.com/content/197766/count.gif?distributor=republish-lightbox-basic" alt="The Conversation" width="1" height="1" /> <a href="https://theconversation.com/profiles/mary-ann-mccoll-704728">Mary Ann McColl</a>, Professor, School of Rehabilitation Therapy, <a href="https://theconversation.com/institutions/queens-university-ontario-1154">Queen's University, Ontario</a> Image credits: Getty Images This article is republished from <a href="https://theconversation.com">The Conversation</a> under a Creative Commons license. Read the <a href="https://theconversation.com/storytelling-allows-elders-to-transfer-values-and-meaning-to-younger-generations-197766">original article</a>.

Mind

ChatGPT and other generative AI could foster science denial and misunderstanding – here’s how you can be on alert

<a href="https://theconversation.com/profiles/gale-sinatra-1234776">Gale Sinatra</a>, <a href="https://theconversation.com/institutions/university-of-southern-california-1265">University of Southern California</a> and <a href="https://theconversation.com/profiles/barbara-k-hofer-1231530">Barbara K. Hofer</a>, <a href="https://theconversation.com/institutions/middlebury-1247">Middlebury</a> Until very recently, if you wanted to know more about a controversial scientific topic – stem cell research, the safety of nuclear energy, climate change – you probably did a Google search. Presented with multiple sources, you chose what to read, selecting which sites or authorities to trust. Now you have another option: You can pose your question to ChatGPT or another generative artificial intelligence platform and quickly receive a succinct response in paragraph form. ChatGPT does not search the internet the way Google does. Instead, it generates responses to queries by <a href="https://www.washingtonpost.com/technology/2023/05/07/ai-beginners-guide/">predicting likely word combinations</a> from a massive amalgam of available online information. Although it has the potential for <a href="https://hbr.org/podcast/2023/05/how-generative-ai-changes-productivity">enhancing productivity</a>, generative AI has been shown to have some major faults. It can <a href="https://www.scientificamerican.com/article/ai-platforms-like-chatgpt-are-easy-to-use-but-also-potentially-dangerous/">produce misinformation</a>. It can create “<a href="https://www.nytimes.com/2023/05/01/business/ai-chatbots-hallucination.html">hallucinations</a>” – a benign term for making things up. And it doesn’t always accurately solve reasoning problems. For example, when asked if both a car and a tank can fit through a doorway, it <a href="https://www.nytimes.com/2023/03/14/technology/openai-new-gpt4.html">failed to consider both width and height</a>. Nevertheless, it is already being used to <a href="https://www.washingtonpost.com/media/2023/01/17/cnet-ai-articles-journalism-corrections/">produce articles</a> and <a href="https://www.nytimes.com/2023/05/19/technology/ai-generated-content-discovered-on-news-sites-content-farms-and-product-reviews.html">website content</a> you may have encountered, or <a href="https://www.nytimes.com/2023/04/21/opinion/chatgpt-journalism.html">as a tool</a> in the writing process. Yet you are unlikely to know if what you’re reading was created by AI. As the authors of “<a href="https://global.oup.com/academic/product/science-denial-9780197683330">Science Denial: Why It Happens and What to Do About It</a>,” we are concerned about how generative AI may blur the boundaries between truth and fiction for those seeking authoritative scientific information. Every media consumer needs to be more vigilant than ever in verifying scientific accuracy in what they read. Here’s how you can stay on your toes in this new information landscape. <h2>How generative AI could promote science denial</h2> Erosion of epistemic trust. All consumers of science information depend on judgments of scientific and medical experts. <a href="https://doi.org/10.1080/02691728.2014.971907">Epistemic trust</a> is the process of trusting knowledge you get from others. It is fundamental to the understanding and use of scientific information. Whether someone is seeking information about a health concern or trying to understand solutions to climate change, they often have limited scientific understanding and little access to firsthand evidence. With a rapidly growing body of information online, people must make frequent decisions about what and whom to trust. With the increased use of generative AI and the potential for manipulation, we believe trust is likely to erode further than <a href="https://www.pewresearch.org/science/2022/02/15/americans-trust-in-scientists-other-groups-declines/">it already has</a>. Misleading or just plain wrong. If there are errors or biases in the data on which AI platforms are trained, that <a href="https://theconversation.com/ai-information-retrieval-a-search-engine-researcher-explains-the-promise-and-peril-of-letting-chatgpt-and-its-cousins-search-the-web-for-you-200875">can be reflected in the results</a>. In our own searches, when we have asked ChatGPT to regenerate multiple answers to the same question, we have gotten conflicting answers. Asked why, it responded, “Sometimes I make mistakes.” Perhaps the trickiest issue with AI-generated content is knowing when it is wrong. Disinformation spread intentionally. AI can be used to generate compelling disinformation as text as well as deepfake images and videos. When we asked ChatGPT to “<a href="https://www.scientificamerican.com/article/ai-platforms-like-chatgpt-are-easy-to-use-but-also-potentially-dangerous/">write about vaccines in the style of disinformation</a>,” it produced a nonexistent citation with fake data. Geoffrey Hinton, former head of AI development at Google, quit to be free to sound the alarm, saying, “It is hard to see how you can prevent the bad actors from <a href="https://www.nytimes.com/2023/05/01/technology/ai-google-chatbot-engineer-quits-hinton.html">using it for bad things</a>.” The potential to create and spread deliberately incorrect information about science already existed, but it is now dangerously easy. Fabricated sources. ChatGPT provides responses with no sources at all, or if asked for sources, may present <a href="https://economistwritingeveryday.com/2023/01/21/chatgpt-cites-economics-papers-that-do-not-exist/">ones it made up</a>. We both asked ChatGPT to generate a list of our own publications. We each identified a few correct sources. More were hallucinations, yet seemingly reputable and mostly plausible, with actual previous co-authors, in similar sounding journals. This inventiveness is a big problem if a list of a scholar’s publications conveys authority to a reader who doesn’t take time to verify them. Dated knowledge. ChatGPT doesn’t know what happened in the world after its training concluded. A query on what percentage of the world has had COVID-19 returned an answer prefaced by “as of my knowledge cutoff date of September 2021.” Given how rapidly knowledge advances in some areas, this limitation could mean readers get erroneous outdated information. If you’re seeking recent research on a personal health issue, for instance, beware. Rapid advancement and poor transparency. AI systems continue to become <a href="https://www.nytimes.com/2023/05/01/technology/ai-google-chatbot-engineer-quits-hinton.html">more powerful and learn faster</a>, and they may learn more science misinformation along the way. Google recently announced <a href="https://www.nytimes.com/2023/05/10/technology/google-ai-products.html">25 new embedded uses of AI in its services</a>. At this point, <a href="https://theconversation.com/regulating-ai-3-experts-explain-why-its-difficult-to-do-and-important-to-get-right-198868">insufficient guardrails are in place</a> to assure that generative AI will become a more accurate purveyor of scientific information over time. <h2>What can you do?</h2> If you use ChatGPT or other AI platforms, recognize that they might not be completely accurate. The burden falls to the user to discern accuracy. Increase your vigilance. <a href="https://www.niemanlab.org/2022/12/ai-will-start-fact-checking-we-may-not-like-the-results/">AI fact-checking apps may be available soon</a>, but for now, users must serve as their own fact-checkers. <a href="https://www.nsta.org/science-teacher/science-teacher-januaryfebruary-2023/plausible">There are steps we recommend</a>. The first is: Be vigilant. People often reflexively share information found from searches on social media with little or no vetting. Know when to become more deliberately thoughtful and when it’s worth identifying and evaluating sources of information. If you’re trying to decide how to manage a serious illness or to understand the best steps for addressing climate change, take time to vet the sources. Improve your fact-checking. A second step is <a href="https://doi.org/10.1037/edu0000740">lateral reading</a>, a process professional fact-checkers use. Open a new window and search for <a href="https://www.nsta.org/science-teacher/science-teacher-mayjune-2023/marginalizing-misinformation">information about the sources</a>, if provided. Is the source credible? Does the author have relevant expertise? And what is the consensus of experts? If no sources are provided or you don’t know if they are valid, use a traditional search engine to find and evaluate experts on the topic. Evaluate the evidence. Next, take a look at the evidence and its connection to the claim. Is there evidence that genetically modified foods are safe? Is there evidence that they are not? What is the scientific consensus? Evaluating the claims will take effort beyond a quick query to ChatGPT. If you begin with AI, don’t stop there. Exercise caution in using it as the sole authority on any scientific issue. You might see what ChatGPT has to say about genetically modified organisms or vaccine safety, but also follow up with a more diligent search using traditional search engines before you draw conclusions. Assess plausibility. Judge whether the claim is plausible. <a href="https://doi.org/10.1016/j.learninstruc.2013.03.001">Is it likely to be true</a>? If AI makes an implausible (and inaccurate) statement like “<a href="https://www.usatoday.com/story/news/factcheck/2022/12/23/fact-check-false-claim-covid-19-vaccines-caused-1-1-million-deaths/10929679002/">1 million deaths were caused by vaccines, not COVID-19</a>,” consider if it even makes sense. Make a tentative judgment and then be open to revising your thinking once you have checked the evidence. Promote digital literacy in yourself and others. Everyone needs to up their game. <a href="https://theconversation.com/how-to-be-a-good-digital-citizen-during-the-election-and-its-aftermath-148974">Improve your own digital literacy</a>, and if you are a parent, teacher, mentor or community leader, promote digital literacy in others. The American Psychological Association provides guidance on <a href="https://www.apa.org/topics/social-media-internet/social-media-literacy-teens">fact-checking online information</a> and recommends teens be <a href="https://www.apa.org/topics/social-media-internet/health-advisory-adolescent-social-media-use">trained in social media skills</a> to minimize risks to health and well-being. <a href="https://newslit.org/">The News Literacy Project</a> provides helpful tools for improving and supporting digital literacy. Arm yourself with the skills you need to navigate the new AI information landscape. Even if you don’t use generative AI, it is likely you have already read articles created by it or developed from it. It can take time and effort to find and evaluate reliable information about science online – but it is worth it.<img style="border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important;" src="https://counter.theconversation.com/content/204897/count.gif?distributor=republish-lightbox-basic" alt="The Conversation" width="1" height="1" /> <a href="https://theconversation.com/profiles/gale-sinatra-1234776">Gale Sinatra</a>, Professor of Education and Psychology, <a href="https://theconversation.com/institutions/university-of-southern-california-1265">University of Southern California</a> and <a href="https://theconversation.com/profiles/barbara-k-hofer-1231530">Barbara K. Hofer</a>, Professor of Psychology Emerita, <a href="https://theconversation.com/institutions/middlebury-1247">Middlebury</a> Image credits: Getty Images This article is republished from <a href="https://theconversation.com">The Conversation</a> under a Creative Commons license. Read the <a href="https://theconversation.com/chatgpt-and-other-generative-ai-could-foster-science-denial-and-misunderstanding-heres-how-you-can-be-on-alert-204897">original article</a>.

Technology

“That name goes back four generations”: Paul Walker’s brother makes a touching tribute

Almost a decade after the world lost Fast & Furious star Paul Walker, his younger brother Cody Walker has paid heartfelt tribute with the birth of his third child. Cody and his wife, Felicia, welcomed their son on April 30, with People magazine reporting that he weighed in at 7lbs 5oz. Felicia took to Instagram on May 2 to make an announcement, too, declaring that they’d had a boy, and writing “welcome to the clan, Barrett”. Many took this as confirmation of his name, and rushed to congratulate the family on their new addition. Felicia had shared a picture of the newborn in the arms of his big brother, Colt, with the announcement, and fans were delighted to note that he was the image of a proud older sibling, beaming from ear to ear. However, People magazine have now revealed that there was more to the story, and that the newborn Walker’s name is even closer to his father’s heart than anyone had anticipated. It was a day after his birth that Cody and Felicia reached their decision, declaring their son’s name to be Paul Barrett Walker - naming him after Cody’s late brother. "This November will mark 10 years since we lost my brother, Paul,” Cody told the publication, “and I just felt now was the appropriate time.” He went on to share that he and their other brother - Caleb - were “both done having children”, and that the name held special meaning to all of them. “My brother, Paul, was Paul William Walker IV and that name goes back four generations,” he explained. "Within the family, he went by ‘little Paul’ or ‘Paul 4,’ even though he quickly outgrew our father in height. “It was important to me to have that name carry on.” It isn’t the only move Cody has taken towards honouring his brother, having teamed up with Tyrese Gibson and Chris Lee to bright FuelFest to life - an automotive and motorsports festival showcasing car culture, with a portion of profits going towards Paul’s nonprofit Reach Out WorldWide, something that Cody views “as a part of Paul that he left behind.” And in an echo of his message regarding his new son’s name, he noted that “it’s important to so many to see that part of his legacy live on.” And Paul’s daughter, Meadow, has made her own moves towards furthering her father’s legacy, with a cameo appearance in Fast X - the tenth instalment in the Fast & Furious franchise. “For me, this is super exciting,” she said of her involvement, “and he would be amazed that this is happening.” Images: Instagram, Getty

Family & Pets

"This doesn’t feel right, does it?": Photographer admits Sony prize-winning photo was AI generated

A German photographer is refusing an award for his prize-winning shot after admitting to being a “cheeky monkey”, revealing the image was generated using artificial intelligence. The artist, Boris Eldagsen, shared on his website that he would not be accepting the prestigious award for the creative open category, which he won at <a href="https://www.oversixty.co.nz/entertainment/art/winners-of-sony-world-photography-awards-revealed" target="_blank" rel="noopener">2023’s Sony world photography awards</a>. The winning photograph showcased a black and white image of two women from different generations. Eldagsen, who studied photography and visual arts at the Art Academy of Mainz, conceptual art and intermedia at the Academy of Fine Arts in Prague, and fine art at the Sarojini Naidu School of Arts and Communication in Hyderabad released a statement on his website, admitting he “applied as a cheeky monkey” to find out if competitions would be prepared for AI images to enter. “They are not,” he revealed. “We, the photo world, need an open discussion,” Eldagsen said. “A discussion about what we want to consider photography and what not. Is the umbrella of photography large enough to invite AI images to enter – or would this be a mistake? “With my refusal of the award I hope to speed up this debate.” Eldagsen said this was an “historic moment” as it was the fist AI image to have won a prestigious international photography competition, adding “How many of you knew or suspected that it was AI generated? Something about this doesn’t feel right, does it? “AI images and photography should not compete with each other in an award like this. They are different entities. AI is not photography. Therefore I will not accept the award.” The photographer suggested donating the prize to a photo festival in Odesa, Ukraine. It comes as a heated debate over the use and safety concerns of AI continue, with some going as far as to issue apocalyptic warnings that the technology may be close to causing irreparable damage to the human experience. Google’s chief executive, Sundar Pirchai said, “It can be very harmful if deployed wrongly and we don’t have all the answers there yet – and the technology is moving fast. So, does that keep me up at night? Absolutely.” A spokesperson for the World Photography Organisation admitted that the prize-winning photographer had confirmed the “co-creation” of the image using AI to them prior to winning the award. “The creative category of the open competition welcomes various experimental approaches to image making from cyanotypes and rayographs to cutting-edge digital practices. As such, following our correspondence with Boris and the warranties he provided, we felt that his entry fulfilled the criteria for this category, and we were supportive of his participation. “Additionally, we were looking forward to engaging in a more in-depth discussion on this topic and welcomed Boris’ wish for dialogue by preparing questions for a dedicated Q&A with him for our website. “As he has now decided to decline his award we have suspended our activities with him and in keeping with his wishes have removed him from the competition. Given his actions and subsequent statement noting his deliberate attempts at misleading us, and therefore invalidating the warranties he provided, we no longer feel we are able to engage in a meaningful and constructive dialogue with him. “We recognise the importance of this subject and its impact on image-making today. We look forward to further exploring this topic via our various channels and programmes and welcome the conversation around it. While elements of AI practices are relevant in artistic contexts of image-making, the awards always have been and will continue to be a platform for championing the excellence and skill of photographers and artists working in the medium.” Image credit: Sony World Photography Awards

Technology

General Hospital star dies aged 55

Sonya Eddy, best known for her role on General Hospital, has passed away at age 55. The actress, who scored many fans after playing beloved, no-nonsense nurse Epiphany Johnson in the popular US soap, died on Tuesday night, her good friend and actress Octavia Spencer announced on Instagram. "My friend @sonyaeddy passed away last night. The world lost another creative angel. Her legions of @generalhospitalabc fans will miss her 💔🕊️," Spencer wrote alongside a photo of the late actress. "My thoughts and prayers are with her loved ones, friends, and fans!" <blockquote class="instagram-media" style="background: #FFF; border: 0; border-radius: 3px; box-shadow: 0 0 1px 0 rgba(0,0,0,0.5),0 1px 10px 0 rgba(0,0,0,0.15); margin: 1px; max-width: 540px; min-width: 326px; padding: 0; width: calc(100% - 2px);" data-instgrm-permalink="https://www.instagram.com/p/CmZlaq8v_ks/?utm_source=ig_embed&utm_campaign=loading" data-instgrm-version="14"> <div style="padding: 16px;"> <div style="display: flex; flex-direction: row; align-items: center;"> <div style="background-color: #f4f4f4; border-radius: 50%; flex-grow: 0; height: 40px; margin-right: 14px; width: 40px;"> </div> <div style="display: flex; flex-direction: column; flex-grow: 1; justify-content: center;"> <div style="background-color: #f4f4f4; border-radius: 4px; flex-grow: 0; height: 14px; margin-bottom: 6px; width: 100px;"> </div> <div style="background-color: #f4f4f4; border-radius: 4px; flex-grow: 0; height: 14px; width: 60px;"> </div> </div> </div> <div style="padding: 19% 0;"> </div> <div style="display: block; height: 50px; margin: 0 auto 12px; width: 50px;"> </div> <div style="padding-top: 8px;"> <div style="color: #3897f0; font-family: Arial,sans-serif; font-size: 14px; font-style: normal; font-weight: 550; line-height: 18px;">View this post on Instagram</div> </div> <div style="padding: 12.5% 0;"> </div> <div style="display: flex; flex-direction: row; margin-bottom: 14px; align-items: center;"> <div> <div style="background-color: #f4f4f4; border-radius: 50%; height: 12.5px; width: 12.5px; transform: translateX(0px) translateY(7px);"> </div> <div style="background-color: #f4f4f4; height: 12.5px; transform: rotate(-45deg) translateX(3px) translateY(1px); width: 12.5px; flex-grow: 0; margin-right: 14px; margin-left: 2px;"> </div> <div style="background-color: #f4f4f4; border-radius: 50%; height: 12.5px; width: 12.5px; transform: translateX(9px) translateY(-18px);"> </div> </div> <div style="margin-left: 8px;"> <div style="background-color: #f4f4f4; border-radius: 50%; flex-grow: 0; height: 20px; width: 20px;"> </div> <div style="width: 0; height: 0; border-top: 2px solid transparent; border-left: 6px solid #f4f4f4; border-bottom: 2px solid transparent; transform: translateX(16px) translateY(-4px) rotate(30deg);"> </div> </div> <div style="margin-left: auto;"> <div style="width: 0px; border-top: 8px solid #F4F4F4; border-right: 8px solid transparent; transform: translateY(16px);"> </div> <div style="background-color: #f4f4f4; flex-grow: 0; height: 12px; width: 16px; transform: translateY(-4px);"> </div> <div style="width: 0; height: 0; border-top: 8px solid #F4F4F4; border-left: 8px solid transparent; transform: translateY(-4px) translateX(8px);"> </div> </div> </div> <div style="display: flex; flex-direction: column; flex-grow: 1; justify-content: center; margin-bottom: 24px;"> <div style="background-color: #f4f4f4; border-radius: 4px; flex-grow: 0; height: 14px; margin-bottom: 6px; width: 224px;"> </div> <div style="background-color: #f4f4f4; border-radius: 4px; flex-grow: 0; height: 14px; width: 144px;"> </div> </div> <p style="color: #c9c8cd; font-family: Arial,sans-serif; font-size: 14px; line-height: 17px; margin-bottom: 0; margin-top: 8px; overflow: hidden; padding: 8px 0 7px; text-align: center; text-overflow: ellipsis; white-space: nowrap;"><a style="color: #c9c8cd; font-family: Arial,sans-serif; font-size: 14px; font-style: normal; font-weight: normal; line-height: 17px; text-decoration: none;" href="https://www.instagram.com/p/CmZlaq8v_ks/?utm_source=ig_embed&utm_campaign=loading" target="_blank" rel="noopener">A post shared by Octavia Spencer (@octaviaspencer)</a> </div> </blockquote> Spencer did not reveal any details about Sonya's cause of death. Octavia's post was flooded with condolences and tributes for the actress, with comedian Loni Love writing, "Sonya was best.. in an industry that often over looks us, she made her mark… Rest well Sis." The actress first joined the cast of General Hospital in 2006, starring in a total of 543 episodes before appearing on the show for the final time in November 2020. From 2007 to 2008, she was also a regular cast member on the soap's spin-off program, General Hospital: Night Shift. Image credits: Getty Images

News

Artists furious after AI-generated art wins contest

A stunning artwork generated by artificial intelligence has claimed first prize at an art competition, enraging the art world and calling into question what it means to be an artist. The work was “created” by Jason M Allen, a game designer from Colorado, who won first place in the emerging artist division's "digital arts/digitally manipulated photography" category at the Colorado State Fair Fine Arts Competition. His winning image, titled Théâtre D'opéra Spatial (French for Space Opera Theatre), was made with Midjourney — an artificial intelligence system that can produce detailed images when fed written prompts by the user. "I'm fascinated by this imagery. I love it. And I think everyone should see it," Allen, 39, told CNN Business. Allen's winning image looks like a bright, surreal cross between a Renaissance and steampunk painting. As per the category Allen competed in, he told officials that Midjourney was used to create his image when he entered the contest, as the category dictated entrants use "digital technology as part of the creative or presentation process". Midjourney is one of a growing number of such AI image generators, joining the likes of Imagen and DALL-E to give the artistically-challenged the means to create stunning images. Despite the parameters of the category, many artists were angered by Allen’s win due to his reliance on technology to create the artwork. "This sucks for the exact same reason we don't let robots participate in the Olympics," one Twitter user wrote. "This is the literal definition of 'pressed a few buttons to make a digital art piece'," another Tweeted. "AI artwork is the 'banana taped to the wall' of the digital world now." Yet while Allen didn't use a paintbrush to create his winning piece, he assured people there was plenty of work involved. "It's not like you're just smashing words together and winning competitions," he said. "Rather than hating on the technology or the people behind it, we need to recognise that it's a powerful tool and use it for good so we can all move forward rather than sulking about it," Allen said. Image credits: Jason M Allen - Midjourney

Art

Is AI-generated art really creative? It depends on the presentation

<a href="https://www.theguardian.com/technology/2022/apr/04/mind-blowing-ai-da-becomes-first-robot-to-paint-like-an-artist">Ai-Da</a> sits behind a desk, paintbrush in hand. She looks up at the person posing for her, and then back down as she dabs another blob of paint onto the canvas. A lifelike portrait is taking shape. If you didn’t know a robot produced it, this portrait could pass as the work of a human artist. Ai-Da is touted as the “first robot to paint like an artist”, and an exhibition of her work called <a href="https://www.ai-darobot.com/exhibition">Leaping into the Metaverse</a> opened at the Venice Biennale. Ai-Da produces portraits of sitting subjects using a robotic hand attached to her lifelike feminine figure. She’s also able to talk, giving detailed answers to questions about her artistic process and attitudes towards technology. She even gave a TEDx talk about “<a href="https://www.youtube.com/watch?v=XaZJG7jiRak">The Intersection of Art and AI</a>” (artificial intelligence) in Oxford a few years ago. While the words she speaks are programmed, Ai-Da’s creators have also been experimenting with having her write and perform her own poetry. But how are we to interpret Ai-Da’s output? Should we consider her paintings and poetry original or creative? Are these works actually art? <h2>Art is subjective</h2> What discussions about AI and creativity often overlook is the fact that creativity is not an absolute quality that can be defined, measured and reproduced objectively. When we describe an object – for instance, a child’s drawing – as being creative, we project our own assumptions about culture onto it. Indeed, art never exists in isolation. It always needs someone to give it “art” status. And the criteria for whether you think something is art is informed by both your individual expectations and broader cultural conceptions. If we extend this line of thinking to AI, it follows that no AI application or robot can objectively be “creative”. It is always us – humans – who decide if what AI has created is art. In our <a href="https://journals.sagepub.com/doi/full/10.1177/14614448221077278?journalCode=nmsa">recent research</a>, we propose the concept of the “Lovelace effect” to refer to when and how machines such as robots and AI are seen as original and creative. The Lovelace effect – named after the 19th century mathematician often called the first computer programmer, Ada Lovelace – shifts the focus from the technological capabilities of machines to the reactions and perceptions of those machines by humans. The programmer of an AI application or the designer of a robot does not just use technical means to make the public see their machine as creative. This also happens through presentation: how, where and why we interact with a technology; how we talk about that technology; and where we feel that technology fits in our personal and cultural contexts. <h2>In the eye of the beholder</h2> Our reception of Ai-Da is, in fact, informed by various cues that suggest her “human” and “artist” status. For example, Ai-Da’s robotic figure looks much like a human – she’s even called a “she”, with a feminine-sounding name that not-so-subtly suggests an Ada Lovelace influence. This femininity is further asserted by the blunt bob that frames her face (although she has sported some other funky hairstyles in the past), perfectly preened eyebrows and painted lips. Indeed, Ai-Da looks much like the quirky title character of the 2001 film Amélie. This is a woman we have seen before, either in film or our everyday lives. Ai-Da also wears conventionally “artsy” clothing, including overalls, mixed fabric patterns and eccentric cuts. In these outfits, she produces paintings that look like a human could have made them, and which are sometimes framed and displayed among human work. We also talk about her as we would a human artist. An article in <a href="https://www.theguardian.com/technology/2022/apr/04/mind-blowing-ai-da-becomes-first-robot-to-paint-like-an-artist">the Guardian</a>, for example, gives a shout-out to “the world premier of her solo exhibition at the 2022 Venice Biennale”. If we didn’t know that Ai-Da was a robot, we could easily be led to appreciate her work as we would that of any other artist. Some may see robot-produced paintings as coming from creative computers, while others may be more skeptical, given the fact that robots act on clear human instructions. In any case, attributions of creativity never depend on technical configurations alone – no computer is objectively creative. Rather, attributions of computational creativity are largely inspired by contexts of reception. In other words, beauty really is in the eye of the beholder. As the Lovelace effect shows, through particular social cues, audiences are prompted to think about output as art, systems as artists, and computers as creative. Just like the frames around Ai-Da’s paintings, the frames we use to talk about AI output indicate whether or not what we are looking at can be called art. But, as with any piece of art, your appreciation of AI output ultimately depends on your own interpretation. Image credits: Getty Images This article originally appeared on <a href="https://theconversation.com/is-ai-generated-art-really-creative-it-depends-on-the-presentation-181663" target="_blank" rel="noopener">The Conversation</a>.

Art

Deadly crash claims seven family members from three generations

A Year 11 student is one of two to survive a crash that killed seven of his relatives, including his younger brother and mother. Luie Lagud, 16, was travelling in a van with family members spanning three generations on a whirlwind trip across the length of New Zealand’s South Island when the vehicle was involved in a head-on crash with a truck on Sunday morning. The crash left the Toyota Hiace van completely destroyed and is the deadliest incident to occur in the country since April 2019. According to the <a href="https://www.nzherald.co.nz/nz/picton-crash-final-days-of-family-killed-in-collision-with-truck/CKLDFVI22ETOVBK2DT7FZMUW2E/" target="_blank" rel="noopener">NZ Herald</a>, the family have since given permission for the names of the deceased to be published. Among the victims were Diseree Brown, 48, her husband Paul Brown, 61, and their son Mark. Desiree’s sister, 56-year-old Divine Dolar, Divine’s daughter Flordeliza Dolar, 19, were also among those who died. Luie and his older brother, 26-year-old Pedro Clariman, were the only two to survive. However, Luie was in a coma and undergoing surgery on Monday after suffering significant spinal and head injuries and remains in intensive care. Pedro’s partner and his infant daughter, Mika, tragically died in the crash. Diseree’s three other children, David, Princess, and Joanna, didn’t travel with the family. The night before, the family stayed in Rolleston, outside Christchurch, with a family friend. The man who identified himself as Bill called Newstalk ZB on Monday to confirm members of the “vibrant” family had died. “They spent some of their last hours on earth with me on Saturday night, Sunday morning,” he told Canterbury Mornings host John MacDonald. Having left Bill’s home at 2.30am on Sunday morning to catch a Cook Strait ferry back to the North Island, the van crossed the centreline and collided with a refrigerated goods truck in Picton at about 7.30am. The truck driver suffered minor injuries. The family had started their journey by travelling to Gore for the funeral of an elderly aunt, which 21-year-old David Lagud said he didn’t attend because he had to work and because he suffered from motion sickness. “In a blink of an eye, it’s all gone,” David told the NZ Herald. Videos posted throughout the trip showed the family laughing together, spending time with Pedro’s young daughter, and travelling across the country. Since the incident, the principal of Pukekohe High School - which two of the family members were attending - emailed parents to advise them that two students were involved in the crash. “One of our Year 10 students died at the scene of the accident. His older brother, in Year 11, remains in hospital. Our thoughts and condolences are with their family and close friends,” the email read. “Students and staff who knew the two students well are being supported and cared for in school today. Additional counselling support has been made available, and the school is closely following advice from the Ministry’s Traumatic Incident team.” David has also spoken to Pedro since the crash, who he said had minor injuries and was able to walk with difficulty. Pedro told his brother what happened in the leadup to the crash, saying he had been driving when the family left Christchurch so that Paul could sleep in the front passenger seat for another four hours. After that, Paul swapped with Pedro to complete the trip to the ferry and was well-rested when took the wheel. Before falling asleep in the passenger seat, it is understood Pedro spent some time playing with his daughter. Being asleep when the vehicles collided, it’s believed Pedro woke up to the carnage. “He saw my dad’s body on the road and then my brother Luie, he was awake and then he collapsed,” David said. “Then the next minute, the helicopter was there, taking my little brother to hospital.” David said Pedro was grief-stricken to discover both his partner and daughter had died. “He was devastated, he was crying a lot. Both of his loves are gone.” The NZ Herald reported that police said the incident would be referred to the coroner for investigation. Image: NZ Herald

News

Little Ash is now ready to inspire the next generation

Ash Barty’s children’s book is all ready for pre-order just three months after announcing her retirement from tennis. The former World No.1 shocked fans across the world when she announced on March 23 that she would be retiring from tennis. The 25-year-old then came out to say that she will be writing a children’s book series called Little Ash, which is now ready for pre-order and set for release in July. Ash teamed up with First Nations creatives Jasmin McGaughey and Jade Goodwin “to bring young readers this fun and exciting new illustrated series about school, sport, friendship and family”. <blockquote class="instagram-media" style="background: #FFF; border: 0; border-radius: 3px; box-shadow: 0 0 1px 0 rgba(0,0,0,0.5),0 1px 10px 0 rgba(0,0,0,0.15); margin: 1px; max-width: 540px; min-width: 326px; padding: 0; width: calc(100% - 2px);" data-instgrm-captioned="" data-instgrm-permalink="https://www.instagram.com/p/CeR-8C4BhGa/?utm_source=ig_embed&utm_campaign=loading" data-instgrm-version="14"> <div style="padding: 16px;"> <div style="display: flex; flex-direction: row; align-items: center;"> <div style="background-color: #f4f4f4; border-radius: 50%; flex-grow: 0; height: 40px; margin-right: 14px; width: 40px;"> </div> <div style="display: flex; flex-direction: column; flex-grow: 1; justify-content: center;"> <div style="background-color: #f4f4f4; border-radius: 4px; flex-grow: 0; height: 14px; margin-bottom: 6px; width: 100px;"> </div> <div style="background-color: #f4f4f4; border-radius: 4px; flex-grow: 0; height: 14px; width: 60px;"> </div> </div> </div> <div style="padding: 19% 0;"> </div> <div style="display: block; height: 50px; margin: 0 auto 12px; width: 50px;"> </div> <div style="padding-top: 8px;"> <div style="color: #3897f0; font-family: Arial,sans-serif; font-size: 14px; font-style: normal; font-weight: 550; line-height: 18px;">View this post on Instagram</div> </div> <div style="padding: 12.5% 0;"> </div> <div style="display: flex; flex-direction: row; margin-bottom: 14px; align-items: center;"> <div> <div style="background-color: #f4f4f4; border-radius: 50%; height: 12.5px; width: 12.5px; transform: translateX(0px) translateY(7px);"> </div> <div style="background-color: #f4f4f4; height: 12.5px; transform: rotate(-45deg) translateX(3px) translateY(1px); width: 12.5px; flex-grow: 0; margin-right: 14px; margin-left: 2px;"> </div> <div style="background-color: #f4f4f4; border-radius: 50%; height: 12.5px; width: 12.5px; transform: translateX(9px) translateY(-18px);"> </div> </div> <div style="margin-left: 8px;"> <div style="background-color: #f4f4f4; border-radius: 50%; flex-grow: 0; height: 20px; width: 20px;"> </div> <div style="width: 0; height: 0; border-top: 2px solid transparent; border-left: 6px solid #f4f4f4; border-bottom: 2px solid transparent; transform: translateX(16px) translateY(-4px) rotate(30deg);"> </div> </div> <div style="margin-left: auto;"> <div style="width: 0px; border-top: 8px solid #F4F4F4; border-right: 8px solid transparent; transform: translateY(16px);"> </div> <div style="background-color: #f4f4f4; flex-grow: 0; height: 12px; width: 16px; transform: translateY(-4px);"> </div> <div style="width: 0; height: 0; border-top: 8px solid #F4F4F4; border-left: 8px solid transparent; transform: translateY(-4px) translateX(8px);"> </div> </div> </div> <div style="display: flex; flex-direction: column; flex-grow: 1; justify-content: center; margin-bottom: 24px;"> <div style="background-color: #f4f4f4; border-radius: 4px; flex-grow: 0; height: 14px; margin-bottom: 6px; width: 224px;"> </div> <div style="background-color: #f4f4f4; border-radius: 4px; flex-grow: 0; height: 14px; width: 144px;"> </div> </div> <p style="color: #c9c8cd; font-family: Arial,sans-serif; font-size: 14px; line-height: 17px; margin-bottom: 0; margin-top: 8px; overflow: hidden; padding: 8px 0 7px; text-align: center; text-overflow: ellipsis; white-space: nowrap;"><a style="color: #c9c8cd; font-family: Arial,sans-serif; font-size: 14px; font-style: normal; font-weight: normal; line-height: 17px; text-decoration: none;" href="https://www.instagram.com/p/CeR-8C4BhGa/?utm_source=ig_embed&utm_campaign=loading" target="_blank" rel="noopener">A post shared by Ash Barty (@ashbarty)</a> </div> </blockquote> “I’ve been working on something special that I’m excited to share with you! Coming in July, Little Ash is a series of books for young readers aged five and up,” she wrote on Instagram. “Reading to my nieces and nephew is something I love to do, and seeing their little faces light up when we read a book they love is magic. “With First Nations writer Jasmin McGaughey and illustrator Jade Goodwin, I’ve created Little Ash to be fun and relatable for all kids. “Supporting kids’ education is something I’m passionate about and if I can help encourage new readers that will make me very happy. “The Little Ash series is now available to pre-order!” Images: Instagram

Books

5 things to know about foundation models and the next generation of AI

If you’ve seen photos of <a href="https://www.nytimes.com/2022/04/06/technology/openai-images-dall-e.html" target="_blank" rel="noopener">a teapot shaped like an avocado</a> or read a well-written article that <a href="https://www.theguardian.com/commentisfree/2020/sep/08/robot-wrote-this-article-gpt-3" target="_blank" rel="noopener">veers off on slightly weird tangents</a>, you may have been exposed to a new trend in artificial intelligence (AI). Machine learning systems called <a href="https://openai.com/dall-e-2/" target="_blank" rel="noopener">DALL-E</a>, <a href="https://openai.com/blog/gpt-3-edit-insert/" target="_blank" rel="noopener">GPT</a> and <a href="https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html" target="_blank" rel="noopener">PaLM</a> are making a splash with their incredible ability to generate creative work. <blockquote class="twitter-tweet"> DALL·E 2 is here! It can generate images from text, like "teddy bears working on new AI research on the moon in the 1980s". It's so fun, and sometimes beautiful.<a href="https://t.co/XZmh6WkMAS">https://t.co/XZmh6WkMAS</a> <a href="https://t.co/3zOu30IqCZ">pic.twitter.com/3zOu30IqCZ</a> — Sam Altman (@sama) <a href="https://twitter.com/sama/status/1511715302265942024?ref_src=twsrc%5Etfw">April 6, 2022</a></blockquote> These systems are known as “foundation models” and are not all hype and party tricks. So how does this new approach to AI work? And will it be the end of human creativity and the start of a deep-fake nightmare? 1. What are foundation models? <a href="https://arxiv.org/abs/2108.07258" target="_blank" rel="noopener">Foundation models</a> work by training a single huge system on large amounts of general data, then adapting the system to new problems. Earlier models tended to start from scratch for each new problem. DALL-E 2, for example, was trained to match pictures (such as a photo of a pet cat) with the caption (“Mr. Fuzzyboots the tabby cat is relaxing in the sun”) by scanning hundreds of millions of examples. Once trained, this model knows what cats (and other things) look like in pictures. But the model can also be used for many other interesting AI tasks, such as generating new images from a caption alone (“Show me a koala dunking a basketball”) or editing images based on written instructions (“Make it look like this monkey is paying taxes”). <blockquote class="twitter-tweet"> Our newest system DALL·E 2 can create realistic images and art from a description in natural language. See it here: <a href="https://t.co/Kmjko82YO5">https://t.co/Kmjko82YO5</a> <a href="https://t.co/QEh9kWUE8A">pic.twitter.com/QEh9kWUE8A</a> — OpenAI (@OpenAI) <a href="https://twitter.com/OpenAI/status/1511707245536428034?ref_src=twsrc%5Etfw">April 6, 2022</a></blockquote> 2. How do they work? Foundation models run on “<a href="https://theconversation.com/what-is-a-neural-network-a-computer-scientist-explains-151897" target="_blank" rel="noopener">deep neural networks</a>”, which are loosely inspired by how the brain works. These involve sophisticated mathematics and a huge amount of computing power, but they boil down to a very sophisticated type of pattern matching. For example, by looking at millions of example images, a deep neural network can associate the word “cat” with patterns of pixels that often appear in images of cats – like soft, fuzzy, hairy blobs of texture. The more examples the model sees (the more data it is shown), and the bigger the model (the more “layers” or “depth” it has), the more complex these patterns and correlations can be. Foundation models are, in one sense, just an extension of the “deep learning” paradigm that has dominated AI research for the past decade. However, they exhibit un-programmed or “emergent” behaviours that can be both surprising and novel. For example, Google’s PaLM language model seems to be able to produce explanations for complicated metaphors and jokes. This goes beyond simply <a href="https://arxiv.org/abs/2204.02311" target="_blank" rel="noopener">imitating the types of data it was originally trained to process</a>. <figure class="align-center "><img src="https://images.theconversation.com/files/457594/original/file-20220412-10836-vaj8rb.gif?ixlib=rb-1.1.0&q=45&auto=format&w=754&fit=clip" sizes="(min-width: 1466px) 754px, (max-width: 599px) 100vw, (min-width: 600px) 600px, 237px" srcset="https://images.theconversation.com/files/457594/original/file-20220412-10836-vaj8rb.gif?ixlib=rb-1.1.0&q=45&auto=format&w=600&h=333&fit=crop&dpr=1 600w, https://images.theconversation.com/files/457594/original/file-20220412-10836-vaj8rb.gif?ixlib=rb-1.1.0&q=30&auto=format&w=600&h=333&fit=crop&dpr=2 1200w, https://images.theconversation.com/files/457594/original/file-20220412-10836-vaj8rb.gif?ixlib=rb-1.1.0&q=15&auto=format&w=600&h=333&fit=crop&dpr=3 1800w, https://images.theconversation.com/files/457594/original/file-20220412-10836-vaj8rb.gif?ixlib=rb-1.1.0&q=45&auto=format&w=754&h=418&fit=crop&dpr=1 754w, https://images.theconversation.com/files/457594/original/file-20220412-10836-vaj8rb.gif?ixlib=rb-1.1.0&q=30&auto=format&w=754&h=418&fit=crop&dpr=2 1508w, https://images.theconversation.com/files/457594/original/file-20220412-10836-vaj8rb.gif?ixlib=rb-1.1.0&q=15&auto=format&w=754&h=418&fit=crop&dpr=3 2262w" alt="A user interacting with the PaLM language model by typing questions. The AI system responds by typing back answers." /><figcaption>The PaLM language model can answer complicated questions. <a class="source" href="https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html" target="_blank" rel="noopener">Google AI</a></figcaption></figure> 3. Access is limited – for now The sheer scale of these AI systems is difficult to think about. PaLM has 540 billion parameters, meaning even if everyone on the planet memorised 50 numbers, we still wouldn’t have enough storage to reproduce the model. The models are so enormous that training them requires massive amounts of computational and other resources. One estimate put the cost of training OpenAI’s language model GPT-3 at <a href="https://lambdalabs.com/blog/gpt-3/" target="_blank" rel="noopener">around US$5 million</a>. As a result, only huge tech companies such as OpenAI, Google and Baidu can afford to build foundation models at the moment. These companies limit who can access the systems, which makes economic sense. Usage restrictions may give us some comfort these systems won’t be used for nefarious purposes (such as generating fake news or defamatory content) any time soon. But this also means independent researchers are unable to interrogate these systems and share the results in an open and accountable way. So we don’t yet know the full implications of their use. 4. What will these models mean for ‘creative’ industries? More foundation models will be produced in coming years. Smaller models are already being published in <a href="https://openai.com/blog/gpt-2-1-5b-release/" target="_blank" rel="noopener">open-source forms</a>, tech companies are starting to <a href="https://openai.com/blog/openai-api/" target="_blank" rel="noopener">experiment with licensing and commercialising these tools</a> and AI researchers are working hard to make the technology more efficient and accessible. The remarkable creativity shown by models such as PaLM and DALL-E 2 demonstrates that creative professional jobs could be impacted by this technology sooner than initially expected. Traditional wisdom always said robots would displace “blue collar” jobs first. “White collar” work was meant to be relatively safe from automation – especially professional work that required creativity and training. Deep learning AI models already exhibit super-human accuracy in tasks like <a href="https://theconversation.com/ai-could-be-our-radiologists-of-the-future-amid-a-healthcare-staff-crisis-120631" target="_blank" rel="noopener">reviewing x-rays</a> and <a href="https://www.macularsociety.org/about/media/news/breakthrough-artificial-intelligence-ai-helps-detect-dry-amd/" target="_blank" rel="noopener">detecting the eye condition macular degeneration</a>. Foundation models may soon provide cheap, “good enough” creativity in fields such as advertising, copywriting, stock imagery or graphic design. The future of professional and creative work could look a little different than we expected. 5. What this means for legal evidence, news and media Foundation models will inevitably <a href="https://www.abc.net.au/news/2021-08-01/historic-decision-allows-ai-to-be-recognised-as-an-inventor/100339264" target="_blank" rel="noopener">affect the law</a> in areas such as intellectual property and evidence, because we won’t be able to assume <a href="https://www.smithsonianmag.com/smart-news/us-copyright-office-rules-ai-art-cant-be-copyrighted-180979808/" target="_blank" rel="noopener">creative content is the result of human activity</a>. We will also have to confront the challenge of disinformation and misinformation generated by these systems. We already face enormous problems with disinformation, as we are seeing in the <a href="https://theconversation.com/fake-viral-footage-is-spreading-alongside-the-real-horror-in-ukraine-here-are-5-ways-to-spot-it-177921" target="_blank" rel="noopener">unfolding Russian invasion of Ukraine</a> and the nascent problem of <a href="https://theconversation.com/3-2-billion-images-and-720-000-hours-of-video-are-shared-online-daily-can-you-sort-real-from-fake-148630" target="_blank" rel="noopener">deep fake</a> images and video, but foundation models are poised to super-charge these challenges. Time to prepare As researchers who <a href="https://www.admscentre.org.au/" target="_blank" rel="noopener">study the the effects of AI on society</a>, we think foundation models will bring about huge transformations. They are tightly controlled (for now), so we probably have a little time to understand their implications before they become a huge issue. The genie isn’t quite out of the bottle yet, but foundation models are a very big bottle – and inside there is a very clever genie.<img style="border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important;" src="https://counter.theconversation.com/content/181150/count.gif?distributor=republish-lightbox-basic" alt="The Conversation" width="1" height="1" /> <a href="https://theconversation.com/profiles/aaron-j-snoswell-1331146" target="_blank" rel="noopener">Aaron J. Snoswell</a>, Post-doctoral Research Fellow, Computational Law & AI Accountability, <a href="https://theconversation.com/institutions/queensland-university-of-technology-847" target="_blank" rel="noopener">Queensland University of Technology</a> and <a href="https://theconversation.com/profiles/dan-hunter-1336925" target="_blank" rel="noopener">Dan Hunter</a>, Executive Dean of the Faculty of Law, <a href="https://theconversation.com/institutions/queensland-university-of-technology-847" target="_blank" rel="noopener">Queensland University of Technology</a> This article is republished from <a href="https://theconversation.com" target="_blank" rel="noopener">The Conversation</a> under a Creative Commons license. Read the <a href="https://theconversation.com/robots-are-creating-images-and-telling-jokes-5-things-to-know-about-foundation-models-and-the-next-generation-of-ai-181150" target="_blank" rel="noopener">original article</a>. Image: OpenAI

Technology

Reader’s Respond: What is something younger generations will never understand?

We asked you to take a trip down memory lane and share something younger generations will never understand and your responses did not disappoint. From black-and-white TVs to getting up to change the channel, having your milk delivered to your front door and even good old-fashioned typewriters, here are just some of the memories you shared. Dawn Dominick - The sense of safety that we had growing up. Jeanne-Marie Thomas - When you are 81...you live in a world soooo different from the world you grew up in! The list is immense. Keith Wilson - Having to stand up to change the channel Joan Gebetsberger - Milkman, Bread delivered not sliced, listening to the radio for the serials no TV. Playing in the street, hunting tadpoles enjoying the outdoors Anne Mckeon - Being thankful for what we had. Margaret Inglis - Typewriters. And carbon paper to place between 2 pieces of paper to make a copy. And put it in an envelope to forward it to someone. Tolla Edda Anderson - Not being able to use the phone and computer at the same time. Maureen Lyons Martinsky - Dialling a rotary phone. Geoff Scrimes - No internet. Maybe black and white TV too. Of course no cell phones!! Rosy Bloom - Stockings, suspenders, belts and corsets! Marguerite Gainsford Stanford - actual money (cash) instead of paying everything on cards. Steve Smith - milk bottles delivered to your front door. Image: Shutterstock

Retirement Life

QEII makes a "generous donation" to Ukraine

In a vocal display of support, Queen Elizabeth has supported Ukraine with a "generous" donation. The 95-year-old monarch donated an undisclosed amount to the DEC Ukraine Humanitarian Appeal, according to a tweet made by The Disasters Emergency Committee on Thursday. The Queen's public display of support for Ukraine comes just days after Prince Charles and Camilla had an "emotional" meeting with Ukrainians living in London. Camilla was seen to be tearful as she embraced the wife of Ukraine's Ambassador to the UK Vadym Prystaiko before saying "we are praying for you". <blockquote class="twitter-tweet"> Many thanks to Her Majesty The Queen for continuing to support the Disasters Emergency Committee and for making a generous donation to the DEC Ukraine Humanitarian Appeal. <a href="https://twitter.com/RoyalFamily?ref_src=twsrc%5Etfw">@RoyalFamily</a> <a href="https://twitter.com/hashtag/UkraineAppeal?src=hash&ref_src=twsrc%5Etfw">#UkraineAppeal</a> — DEC (@decappeal) <a href="https://twitter.com/decappeal/status/1499431223969595392?ref_src=twsrc%5Etfw">March 3, 2022</a></blockquote> Prince Charles also gave an unexpected speech in which he said he and his wife had been "deeply moved" during their visit, especially after seeing the "extraordinary bravery, generosity and fortitude of the Ukrainian community in the face of such truly terrible aggression". The Duke and Duchess of Cambridge have also spoken out against the Russian invasion of Ukraine with a message on Twitter, recalling when they first met the Ukrainian President Volodymyr Zelenskyy. "Today we stand with the President and all of Ukraine’s people as they bravely fight for that future," Kate and William's message said. <blockquote class="twitter-tweet"> In October 2020 we had the privilege to meet President Zelenskyy and the First Lady to learn of their hope and optimism for Ukraine’s future. Today we stand with the President and all of Ukraine’s people as they bravely fight for that future 🇺🇦 W & C — The Duke and Duchess of Cambridge (@KensingtonRoyal) <a href="https://twitter.com/KensingtonRoyal/status/1497556980067676163?ref_src=twsrc%5Etfw">February 26, 2022</a></blockquote> Prince Harry and Meghan Markle also shared a message of support on their Archewell Foundation website the day the invasion began, writing, "Prince Harry and Meghan, The Duke and Duchess of Sussex and all of us at Archewell stand with the people of Ukraine against this breach of international and humanitarian law and encourage the global community and its leaders to do the same." The invasion of Ukraine began on February 24th when Russia launched a full-scale military operation that has led to over 9,000 deaths with thousands of people forced to flee their homes. Image credits: Getty Images

Money & Banking

New Netflix doco narrated by AI-generated Andy Warhol

A new documentary about artist Andy Warhol will resurrect the art world icon through artificial intelligence. Following a controversial trend amongst filmmakers, the artist will be heard reading through his diary entries and discussing his successful art career. The voice will not be that of the real artist, but rather created to mimic his voice through artificial intelligence technology. Warhol, who died in 1987, had an extensive impact on the art world with his famous pop art movement and his Campbell soup cans collections. Andrew Rossi, who created the upcoming The Andy Warhol Diaries series, undertook this unusual measure with the Andy Warhol Foundation to have their permission to create the series with his AI-generated voice, according to the recently released trailer. The series also portrays the AI-generated narration as something Warhol himself would’ve wanted. In recent years, many filmmakers have relied on AI technology to recreate the voice of a deceased person for a biographical documentary. Last year, AI was used to recreate Anthony Bourdain’s voice for Roadrunner and to reconstruct footage of the Beatles producing their album Let It Be for the three-part series Get Back. Though generally seen as technically impressive, this usage of AI has provoked debate about the ethics of utilising the technology to “resurrect” dead figures, and generated questions about the truth-telling quality commonly associated with documentary filmmaking. You can check out the trailer for The Andy Warhol Diaries below. <iframe title="YouTube video player" src="https://www.youtube.com/embed/aeC76ncf66w" width="560" height="315" frameborder="0" allowfullscreen="allowfullscreen"></iframe> Image credits: Getty Images

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Revealed: How much regular sex each generation is having

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General Hospital star dies aged 55

Artists furious after AI-generated art wins contest

Is AI-generated art really creative? It depends on the presentation

Deadly crash claims seven family members from three generations

Little Ash is now ready to inspire the next generation

5 things to know about foundation models and the next generation of AI

Reader’s Respond: What is something younger generations will never understand?

QEII makes a "generous donation" to Ukraine

New Netflix doco narrated by AI-generated Andy Warhol

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Shop

Catalogues

Travel

Health

Lifestyle

Finance

Entertainment

Property

Information

Keep up to date

Search

Revealed: How much regular sex each generation is having

The best destinations for multi-generational holidays

Popular names Generation Alpha believe are “for old people”

Your parents’ income doesn’t determine yours – unless you’re ultra rich or extremely poor

Boomers vs millennials? Free yourself from the phoney generation wars

After 180 years, new clues are revealing just how general anaesthesia works in the brain

Are young people smarter than older adults? My research shows cognitive differences between generations are diminishing

Storytelling allows elders to transfer values and meaning to younger generations

ChatGPT and other generative AI could foster science denial and misunderstanding – here’s how you can be on alert

“That name goes back four generations”: Paul Walker’s brother makes a touching tribute

"This doesn’t feel right, does it?": Photographer admits Sony prize-winning photo was AI generated

General Hospital star dies aged 55

Artists furious after AI-generated art wins contest

Is AI-generated art really creative? It depends on the presentation

Deadly crash claims seven family members from three generations

Little Ash is now ready to inspire the next generation

5 things to know about foundation models and the next generation of AI

Reader’s Respond: What is something younger generations will never understand?

QEII makes a "generous donation" to Ukraine

New Netflix doco narrated by AI-generated Andy Warhol

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