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1.1 billion identities were recently exposed to theft Here’s how to find out if you’re at risk – Salt Lake Tribune

Sponsored: Were you exposed?

(Getty Images) Is your identity protected?

| Dec. 21, 2021, 7:00 a.m.

Symantec Corporations most recent Internet Security Report is 77 pages but heres the scary truth:

They report 1,209 breaches in recent years.

15 of those breaches exposed more than 10 million identities, deeming them mega breaches.

The total number of identities exposed soared to 1.1 billion

The average number of identities exposed in each breach were 927,000.

Do note, these numbers are from across the globe. However, the United States sits pretty (or not) at the top the list of the top 10 countries by number of identities stolen.

The best way to quickly check is to peek at your credit. You might know federal law entitles you to one free credit report per year.

But your annual report doesnt include your actual credit scores, which are a nice, easy benchmark for figuring out if somethings wrong.

Most companies will charge you for this information which is why we like the free website Credit Sesame.

Once you create a free account, the first thing youll see is a user-friendly overview of your current credit situation, including a TransUnion score.

Even if youre pretty sure youre not a victim of identity theft, its worth checking out. I mean, its free, and its always good to know where you stand

It takes 90 seconds to sign up and see if your identity was stolen.

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1.1 billion identities were recently exposed to theft Here's how to find out if you're at risk - Salt Lake Tribune

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Jordan Peterson | About

Dr. Jordan B. Peterson is a clinical psychologist and professor emeritus at the University of Toronto. From 1993 to 1998 he served as assistant and then associate professor of psychology at Harvard. He spent fifteen years writing Maps of Meaning: The Architecture of Belief (1999; released in June 2018as a now bestselling author-readaudiobook). Maps of Meaning is a scholarly investigation into the nature of narrative and religious thought, the structure of perception, the regulation of emotion, and the motivation for atrocity in the service of ideology. Dr. Peterson also penned the popular global bestsellers Beyond Order: 12 More Rules for Life & 12 Rules for Life: An Antidote to Chaos, #1 for nonfiction in 2018 in the US, Canada, the UK, Australia, New Zealand, Sweden, the Netherlands, Brazil and Norway, both translated into some 50 languages. The latter book has sold more than five million copies; the former, released in mid 2021, 750,000.

Raised and toughened in the frigid wastelands of Northern Alberta :), Dr. Peterson has flown a hammer-head roll in a carbon-fiber stuntplane, piloted a mahogany racing sailboat around Alcatraz Island, explored an Arizona meteorite crater with a group of astronauts, built a Native American Long-House on the upper floor of his Toronto home, and been inducted into a Pacific Kwakwakawakw family (see charlesjoseph.ca). Hes been a dishwasher, short-order cook, beekeeper, tow-truck driver, gas jockey, bartender, oil derrick bit re-tipper, plywood mill laborer and railway line worker. Hes taught mythology to physicians, lawyers, and businessmen; worked with Jim Balsillie, former CEO of Blackberrys Research in Motion, on Resilient People, Resilient Planet, the report of the UN Secretary Generals High Level Panel on Global Sustainability; helped his clinical clients manage the triumphs and catastrophes of life; served as an advisor to senior partners of major Canadian law firms; penned the forward for the 50th anniversary edition of Aleksandr Solzhenitsyns The Gulag Archipelago; lectured to university audiences all around the English-speaking world (see Harvard 2017, Cambridge (2018, 2021, 2021 TBA) and Oxford (2018, 2021 TBA); identified thousands of promising entrepreneurs, with the The Founder Institute in 60 different countries; spoke to sold-out audiences across North America, Europe, Australia and New Zealand in the course of one of the most-well attended booktours ever mounted; and is currently mounting the 2022 Beyond Order: 12 More Rules for Life book tour on a similar scale (tickets available here).

With his students and colleagues, Dr. Peterson has published more than a hundred scientific papers with his colleagues and students, advancing the modern understanding of alcoholism, antisocial behavior, play, emotion, creativity, competence and personality. He was nominated for five consecutive years as one of Ontarios Best University Lecturers, and was one of only three profs rated as life changing in the U of Ts underground student handbook of course ratings.

In 2016, shortly before the publication of 12 Rules, several of Dr. Petersons online lectures, videos and interviews went viral, launching him into unprecedented international prominence as a public intellectual and educator. His work, public postings and discussions are featured on the following platforms:

Dr. Petersons classroom lectures on mythology and the psychology of religion, based on Maps of Meaning (2016 version here), were turned into a popular 13-part TV series on Canadian public televisionsTVO. Malcolm Gladwell discussed psychology with him while researching his books; Norman Doidge, author of The Brain that Changes Itself, wrote the forward to 12 Rules; and bestselling thriller writer Gregg Hurwitz employed several of his valuable things as a plot feature in his #1 international bestseller, Orphan X.

With his colleagues, Dr. Daniel M. Higgins and Dr. Robert O. Pihl, Dr. Peterson has also produced two online programs to help people understand themselves better and to improve their psychological and practical functioning. The most recent of these, UnderstandMyself, provides its users with detailed information about their personalities, based on work he published with his students here. Tens of thousands of people now know themselves better, as a consequence of completing this 15-minute program.His original self-analysis program,theSelf Authoring Suite, (featured in O: The Oprah Magazine, CBC radio, and NPRs national website), has helped over 200,000 people resolve the problems of their past, rectify their personality faults and enhance their virtues, and radically improve their future. Research documenting the programs effectiveness can be found here and here.

Dr. Peterson has appeared on many popular podcasts and shows, including the Joe Rogan Experience (#877, #958, #1006), The Rubin Report (12 Rules for Life: An Antidote to Chaos, Free Speech, Psychology, Gender Pronouns), H3H3(#37), and many more. He is currently working on a new book, tentatively titledBeyond Mere Order: 12 More Rules for Life, slated for publication in late 2020.

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Jordan Peterson, Custodian of the Patriarchy – The New …

The left, he believes, refuses to admit that men might be in charge because they are better at it. The people who hold that our culture is an oppressive patriarchy, they dont want to admit that the current hierarchy might be predicated on competence, he said.

Mr. Peterson illustrates his arguments with copious references to ancient myths bringing up stories of witches, biblical allegories and ancient traditions. I ask why these old stories should guide us today.

It makes sense that a witch lives in a swamp. Yeah, he says. Why?

Its a hard one.

Right. Thats right. You dont know. Its because those things hang together at a very deep level. Right. Yeah. And it makes sense that an old king lives in a desiccated tower.

But witches dont exist, and they dont live in swamps, I say.

Yeah, they do. They do exist. They just dont exist the way you think they exist. They certainly exist. You may say well dragons dont exist. Its, like, yes they do the category predator and the category dragon are the same category. It absolutely exists. Its a superordinate category. It exists absolutely more than anything else. In fact, it really exists. What exists is not obvious. You say, Well, theres no such thing as witches. Yeah, I know what you mean, but that isnt what you think when you go see a movie about them. You cant help but fall into these categories. Theres no escape from them.

Recently, a young man named Alek Minassian drove through Toronto trying to kill people with his van. Ten were killed, and he has been charged with first-degree murder for their deaths, and with attempted murder for 16 people who were injured. Mr. Minassian declared himself to be part of a misogynist group whose members call themselves incels. The term is short for involuntary celibates, though the group has evolved into a male supremacist movement made up of people some celibate, some not who believe that women should be treated as sexual objects with few rights. Some believe in forced sexual redistribution, in which a governing body would intervene in womens lives to force them into sexual relationships.

Violent attacks are what happens when men do not have partners, Mr. Peterson says, and society needs to work to make sure those men are married.

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Jordan Peterson: Descensus ad inferos – reddit

Jordan Peterson's goal is to strengthen the individual. Life contains tragedy and evil. The hero's journey justifies the burden of being by pursuing truth, making order out of chaos. The alternative is deceiving yourself with ideology and nihilism. So, take yourself seriously, know the monster within you, and become a responsible person with an integrated character.

r/JordanPetersonis an open forum where controversial topics can be discussed in good faith. Free speech, despite risking offense, is necessary to conduct civil discourse between opposing ideologies. Bans will be given to users who post excessively abusive material.

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Jordan B. Peterson Quotes (Author of 12 Rules for Life)

We deserve some respect. You deserve some respect. You are important to other people, as much as to yourself. You have some vital role to play in the unfolding destiny of the world. You are, therefore, morally obliged to take care of yourself. You should take care of, help and be good to yourself the same way you would take care of, help and be good to someone you loved and valued. You may therefore have to conduct yourself habitually in a manner that allows you some respect for your own Beingand fair enough. But every person is deeply flawed. Everyone falls short of the glory of God. If that stark fact meant, however, that we had no responsibility to care, for ourselves as much as others, everyone would be brutally punished all the time. That would not be good. That would make the shortcomings of the world, which can make everyone who thinks honestly question the very propriety of the world, worse in every way. That simply cannot be the proper path forward. Jordan B. Peterson, 12 Rules for Life: An Antidote to Chaos

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DeepMind Releases Weather Forecasting AI Deep Generative Models of Rainfall – InfoQ.com

DeepMind open-sourced a dataset and trained model snapshot for Deep Generative Models of Rainfall (DGMR), an AI system for short-term precipitation forecasts. In evaluations conducted by 58 expert meteorologists comparing it to other existing methods, DGMR was ranked first in accuracy and usefulness in 89% of test cases.

The model and several experiments were described in an article published in Nature. DeepMind developed DGMR in collaboration with the UK Met Office to perform nowcasting: short-term, high-resolution predictions of precipitation. Using a deep learning technique called generative models, DGMR learns to generate "radar movies": given a short series of radar images of rainfall, it learns to predict future radar images, thus predicting the amount and location of future precipitation. According to DeepMind:

We think this is an exciting area of research and we hope our paper will serve as a foundation for new work by providing data and verification methods that make it possible to both provide competitive verification and operational utility. We also hope this collaboration with the Met Office will promote greater integration of machine learning and environmental science, and better support decision-making in our changing climate.

Nowcasts are often used for assisting decision-making in many areas, such as air traffic control and energy management; thus, their accuracy has economic and safety implications. Current methods, such as STEPS and PySTEPS, often use numeric approaches to solve physics equations that describe weather behavior. These systems model the uncertainty of their predictions by producing ensemblesof predictions. More recently, researchers have developed deep learning models that are trained on datasets of radar observations; however, the DeepMind team note that these models have limited operational usefulness, as they are "unable to provide simultaneously consistent predictions across multiple spatial and temporal aggregations."

The DGMR model is based on a conditional generative adversarial network (GAN). The generator network takes in four observed radar frames as context and generates output predictions for the next 18 frames. The generator is trained along with two discriminator networks which learn to tell the difference between real radar data and generated data; one discriminator focuses on spatial consistency within frames, and the other on temporal consistency across a sequence of frames. The entire system is trained on historical data from radar observations in the UK, from the years 2016 to 2019. The trained model can generate a prediction in "just over a second" using a single NVIDIA V100 GPU.

To evaluate DGMR's performance, DeepMind compared it to three baseline models: PySTEPS, UNet, and MetNet. Besides the general ranking of accuracy and value, a group of expert meteorologists also judged the models' predictions for a single "meteorologically challenging event". In this case study, 93% indicated DGMR's results as their first choice. The DeepMind team also evaluated the models on several metrics, including critical success index (CSI), radially averaged power spectral density (PSD), and continuous ranked probability score (CRPS); on these metrics, DGMR compared "competitively" to the baselines.

AI models for weather forecasting is an active research area. InfoQ previously covered an AI model for predicting electrical outages caused by storms, as well as a model for solving partial differential equations, which could be used for modeling climate. Google recently announced MetNet-2, which "substantially improves on the performance" of MetNet.

In a discussion about DGMR on Reddit, one commenter questioned the usefulness of the approach. Another pointed out,

The GAN is basically just hallucinating plausible details on top of the L1 prediction, but the fact is, this still leads to a higher predictive skill and value! Is the method really garbage if it has higher predictive performance on multiple metrics than other leading deep networks and statistical baselines? Furthermore, there is a ton of research into avoiding GAN mode-dropping that can be integrated into this baseline approach. That seems like a pretty promising way to gain even more performance!

The trained DGMR model and dataset are available on GitHub.

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‘Deep canvassing’ has helped support gay and trans rights. What about abortion? : Shots – Health News – NPR

Planned Parenthood volunteer Sarah Mahoney checks a list of addresses in Windham, Maine to see which door to knock on next. Patty Wight/Maine Public Radio hide caption

Planned Parenthood volunteer Sarah Mahoney checks a list of addresses in Windham, Maine to see which door to knock on next.

It's Saturday, and Sarah Mahoney is one of several Planned Parenthood volunteers knocking on doors in Windham, Maine, a politically moderate town not far from Portland.

No one answers at the first couple of houses. But as Mahoney heads up the street, she sees a woman out for a walk.

"Hey! We're out canvassing," she says. "Would you mind having a conversation with us?"

Mahoney wants to talk about abortion not a typical topic for a conversation, especially with a stranger.

But the woman, Kerry Kelchner, agrees to talk.

If this were typical door-to-door canvassing, Mahoney might ask Kelchner about a political candidate, remind her to vote and then be on her way.

But Mahoney is deep canvassing a technique that employs longer conversations to move opinions on hot-button issues.

Planned Parenthood in Maine has deployed the strategy for several years amid what it says are increasing threats to reproductive rights. This year alone, states have enacted more than 100 restrictions on abortion, including one in Texas that bans most abortions after six weeks. This month, the US Supreme Court heard arguments in a case about a Mississippi law that could lead to the overturning of Roe v. Wade, the landmark 1973 ruling that established a constitutional right to abortion.

Although state law in Maine protects abortion rights even if Roe v. Wade is overturned, abortion opponents have gained traction in the state in recent years. So volunteers like Mahoney start conversations. And they can get quite personal.

Mahoney first assesses Kelchner's baseline attitude on abortion access on a scale of 0 to 10. A 10 means the interviewee believes anyone should be able to get an abortion for any reason.

Kelchner says she's a 7.

Next, Mahoney asks Kelchner a series of questions to better understand her values.

"Can you tell me a little bit about what shaped your views on abortion?" she asks. "Have you known anybody who's had an abortion, a friend or a family member?"

"My mother," says Kelchner. She explains her parents were young when she was born, and they weren't ready for another baby.

Then Mahoney, who's 60, shares that she also had an abortion. "I was in my early 20s," she says. "I was a little conflicted about it, and I wanted to have a family. I knew I wanted to have a family, but I was in no way ready to do that."

Mahoney points out that she and Kelchner have similar views on what an unplanned pregnancy can mean. Then she asks her opening question again, to see whether Kelchner's feelings about abortion access have shifted on the 0-to-10 scale.

"Still around 7," Kelchner says.

Mahoney probes further: "What would be the circumstances where you would say, 'No they shouldn't have the right to have an abortion?'"

Kelchner pauses. "That's a good question."

They talk more. Ultimately, Kelchner can't think of any circumstance in which she believes someone should be denied an abortion.

"There should be no judgment," she concludes.

"So that would be a 10?" Mahoney asks.

"Yep," says Kelchner.

Planned Parenthood organizer Katie McClelland (L) gives a pep talk to volunteers outside the library in Windham, Maine, on Oct. 16. The volunteers then fan out to different neighborhoods to engage in "deep canvassing" The goal is to have four conversations with voters over the next two hours. Patty Wight/Maine Public Radio hide caption

Planned Parenthood organizer Katie McClelland (L) gives a pep talk to volunteers outside the library in Windham, Maine, on Oct. 16. The volunteers then fan out to different neighborhoods to engage in "deep canvassing" The goal is to have four conversations with voters over the next two hours.

In the five years that she's been deep canvassing for Planned Parenthood, Mahoney says, she hasn't had a single unpleasant conversation.

"What we've found doing this is that it is an effective way to change minds about abortion," says Amy Cookson, director of external communications for Planned Parenthood of Northern New England.

Cookson says Planned Parenthood started deep canvassing in Maine in 2015, after Paul LePage, an anti-abortion Republican, won a second term as governor. Gay rights advocates in California had used deep canvassing on the same-sex marriage issue, and she wondered: "Can it work around abortion stigma?"

The technique has been used to garner support for gay marriage, transgender rights, police reform efforts, and for Biden in the 2020 election.

Joshua Kalla, a political scientist at Yale University, has conducted research that found the technique can change people's deeply held beliefs. The crucial elements are that canvassers listen without judgment and share their own stories.

"So whether the person had an abortion and is talking about their abortion story," says Kalla, "or whether the person is an ally and is talking about a friend or family member who had an abortion and is sharing that story, the effects seem to be quite similar."

Kalla has also studied Planned Parenthood's efforts in Maine and says the group has added something else that's effective: moral reframing. Canvassers listen for the moral values a voter emphasizes and then incorporate those values into the story they share.

But deep canvassing is not exclusively a progressive tactic, Kalla says. Conservative groups can use it, too, and he thinks that would improve political discourse: "You know, it would be good for American society if the way we had political conversation was more grounded, and listening to the other side, and being nonjudgmental, and being curious."

Planned Parenthood volunteer Sarah Mahoney talks to a voter about abortion access outside a home in Windham, Maine on Oct 16, 2021. Patty Wight/Maine Public Radio hide caption

Planned Parenthood volunteer Sarah Mahoney talks to a voter about abortion access outside a home in Windham, Maine on Oct 16, 2021.

Back in Windham, Mahoney continues to walk through the neighborhood. She meets a man outside his apartment building who gives only his first name, Chris. He says he's a 4 on the abortion access scale. He opposes abortion except in cases of sexual assault. Chris tells Mahoney he had a daughter when he was 15.

"Do you talk about, I'm curious, birth control and abortion?" Mahoney asks.

"I do with her a lot," Chris says. She's a teenager, he says, and he's not sure what he'd do if she got pregnant accidentally.

"It's her own life," he says. "I don't know if I would even try to change her mind. Because it's her decision."

As the conversation goes on, Chris seems as though he supports access to abortion. But at the end, he doesn't budge on his rating.

Mahoney says that's OK. Some people won't change their minds right away.

"The worst way to think about this is that it's some kind of Jedi mind trick," she says, "and I'm going to let them talk about themselves and then pow! I'm going to change their mind."

What Mahoney wants most from these conversations is for people to think more deeply about the nuances around abortion, and to identify common ground: "I just feel like we all need to be taking steps to hear one another and move towards each other, instead of just diving into this divisive, contrary, hostile, Red-and-Blue world."

Because of the success Planned Parenthood in Maine has had with deep canvassing, it has trained volunteers in other states, including Texas and Kansas. Next year, Kansas voters will cast ballots on a referendum question that seeks to revoke abortion access as a fundamental right.

This story comes from NPR's health reporting partnership with Maine Public Radio and KHN.

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2021 was the year of monster AI models – MIT Technology Review

What does it mean for a model to be large? The size of a modela trained neural networkis measured by the number of parameters it has. These are the values in the network that get tweaked over and over again during training and are then used to make the models predictions. Roughly speaking, the more parameters a model has, the more information it can soak up from its training data, and the more accurate its predictions about fresh data will be.

GPT-3 has 175 billion parameters10 times more than its predecessor, GPT-2. But GPT-3 is dwarfed by the class of 2021. Jurassic-1, a commercially available large language model launched by US startup AI21 Labs in September, edged out GPT-3 with 178 billion parameters. Gopher, a new model released by DeepMind in December, has 280 billion parameters. Megatron-Turing NLG has 530 billion. Googles Switch-Transformer and GLaM models have one and 1.2 trillion parameters, respectively.

The trend is not just in the US. This year the Chinese tech giant Huawei built a 200-billion-parameter language model called PanGu. Inspur, another Chinese firm, built Yuan 1.0, a 245-billion-parameter model. Baidu andPeng Cheng Laboratory, a research institute in Shenzhen,announced PCL-BAIDU Wenxin, a model with 280 billion parameters that Baidu is already using in a variety of applications, including internet search, news feeds, and smart speakers. And theBeijing Academy of AI announced Wu Dao 2.0, which has 1.75 trillion parameters.

Meanwhile, South Korean internet search firmNaverannounced a model called HyperCLOVA, with 204 billion parameters.

Every one of these is a notable feat of engineering. For a start, training a model with more than 100 billion parameters is a complex plumbing problem: hundreds of individual GPUsthe hardware of choice for training deep neural networksmust be connected and synchronized, and the training data split must be into chunks and distributed between them in the right order at the right time.

Large language models have becomeprestige projects that showcase a companys technical prowess.Yet few of these new models move the research forward beyond repeating the demonstration that scaling up gets good results.

There are a handful of innovations. Once trained, GooglesSwitch-Transformer and GLaM use a fraction of their parameters to make predictions, so they save computing power. PCL-Baidu Wenxincombines a GPT-3-style model with a knowledge graph, a technique used in old-school symbolic AI to store facts. And alongside Gopher, DeepMind releasedRETRO, a language model with only 7 billion parameters that competes with others 25 times its size by cross-referencing a database of documents when it generates text. This makes RETRO less costly to train than its giant rivals.

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At six, I realised the truth about Santa. How deep did the lies go? – The Guardian

Christmas was always such a magical time for me when I was young, and the beginning of December 1970, filled with excitement and anticipation, was no different. I was six and though I had already figured out there was no Santa, I didnt quite understand how presents materialised in the pillowcase annually hung from the post of my upper bunk bed. My parents were adamant about Santas existence, but my friends and older brothers had confirmed the awful, heart-wrenching, nihilistic truth of my suspicions.

There were a lot of other existential questions in my mind that year. What was death? Did people seriously spend eternity in a box buried underground? What if they woke up? At school, the alternative of an eternity in heaven was presented by our overtly Christian teacher and, on balance, heaven definitely sounded preferable to an afterlife of maggot-ridden decomposition. The caveat of complete faith and devotion to a bearded man who floated on a cloud seemed a small price to pay for everlasting bliss. God even looked a lot like Santa, only his beard was more straggly and his suit less fun. Maybe God delivered the presents. Sorted. Roll on Christmas.

Then came the curve ball. I remember, that December, looking at a photograph in my mum and dads bedroom. I stared in shock. I asked who was in the picture. Thats Rabindranath Tagore, replied my mum. He wrote plays, songs and poems. My mouth dropped open at this tall, white-bearded figure, who the great pandit-ji Ravi Shankar would later in life tell me looked like the sun. How many people out there have this look? I wondered. Theres God, Santa and now this dude. All with huge beards and a wise grin. It was disconcerting. Which one delivered the presents?

That December my mum also started explaining Hinduism to me. I know it was then because I remember what I was practising on the piano. Suddenly, there were lots more gods, but the beards varied hugely. Many had no beards at all. There were also goddesses, which confused me because the only female Id heard of in Christianity ran around naked in a garden, tempting a man to follow her, with an apple. Also, with Hinduism you were cremated after death, which seemed altogether less boring.

I told my mum we were being presented with an alternative perspective at school, of eternal damnation or heavenly bliss as opposed to the less intimidating magical stories of Krishna and Ganesh at home. She said that Hinduism accepted all other faiths and everything was really about being a good person. That helped a lot, because Id heard Santa only gave presents to kids who were good. So even if there was no Santa, whoever was going to give me the presents felt my moral fibre was important. Everything seemed to tie up. Roll on Christmas.

That year I could not wait to see the TV animation of Rudolph the Red-Nosed Reindeer. Id watched it the year before and it was the most magical thing Id ever seen. I loved Rudolph. I could already play the theme tune on the piano, and Rudolph himself was simply fantastic.

Then it came, and I was so disappointed and unmoved. Rudolph had lost his magic. If there was no Santa, I realised, then Rudolph couldnt possibly be real or meaningful. Just like the Lone Ranger was fiction too. People were making this stuff up. How deep did the lies go?

Christmas finally came and I waited up in bed the whole night. Who should I expect? Could I be wrong about Santa? Was he real after all? Or would I be visited by some other bloke with a longer, more flowing beard? Or should I expect someone blue with eight arms and an elephant trunk? Id seen one of those on the living room wall and Id been told that was also God. Definitely not the one Miss Churchill talked about in class though. Hmm.

So, early on Christmas morning, when Dad ran giggling into the room and slapped a pillowcase full of gifts on my bed, I just shouted: Dad? What are you doing?

Belief is such a strange thing, I learned that Christmas. If we want to believe something, we seem to ignore reality till we have no choice. I do miss that magical world though the world before dad ran into my room with no beard or extra arms before I discovered the lies you hear as an adult are far less innocent and well-meaning than those accompanied by marvellous, warm, cosy dreams.

To mark Coventrys tenure as UK City of Culture, and the 60th anniversary of Coventry Cathedral, Nitin Sawhney has been commissioned to create a new site-specific performance in response to Benjamin Brittens War Requiem. Ghosts in the Ruins takes place on 27-29 January. Tickets are available at coventry2021.co.uk

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Video: Dive Into ‘The Deep’ with Mark Matthews & His Custom Painted Shark Bike – Pinkbike.com

Dark, rainy conditions provided the perfect backdrop for hitting some of my favourite lines on my shark-inspired, custom painted Marin Rift Zone. The details on this bike turned out incredible!

I wanted something bright and bold that pops in photos. The bike needed shark attack vibes, blood-stained water, and any shark-themed ideas the artists could think of. I shared all these requirements with my friends at Fresh Paints of Whistler and asked to keep it a surprise. Having no idea what kind of epic design they would come up with, I trusted they would do something ridiculously awesome.

THE BUILD

THE RIDE

In order to stay aligned with the shark theme, I wanted my riding and the atmosphere to echo the feelings of a shark attack.

Sessioning the big, floaty step-up jump was a highlight of this shoot for me. Ive always dreamed of a flowy jump like this thats carved out of the natural landscape. I finished hand building it just in time for filming. An entire trail will eventually run through the gully where its built, and Im documenting the process on YouTube! Subscribers can vote on what I build next. This isnt the last youll see of this zone.

We started stacking shots in October. It was a weather battle, but this helped shape the mood of the video. November rainfall broke records in many BC communities and the locations we filmed on Vancouver Island were no exception. Many days were cut short due to lack of light or too much rain, but we powered through and were rewarded with a moody, dark feel that emulates the deep ocean vibes we were after.

Scott and Jarrett are always a treat to work with. We have collaborated on a handful of large projects now and we have a good creative flow going. Thanks to my epic team for making this video possible, Scott and Brad at Marin Canada, and a huge thank you to Marin Bikes for supporting rad ideas like this!

Supported by: Marin BikesDirector: Scott Bell and Mark MatthewsCinematography and Post Production: Scott BellPhotography: Jarrett Lindal

The full photo album is on Jarrett's website here.

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