Forget gold and Bitcoin. This is how I’d invest in stocks to get rich – Yahoo Finance UK

Today I want to talk about how to invest in stocks. This might seem strange, given that the FTSE 100 is down by nearly 20% this year, while gold and Bitcoin have both risen by nearly 30%.

However, I believe that if you want to invest and get rich, the stock market offers far bigger long-term opportunities than Bitcoin or gold. Let me explain why.

Bitcoin was originally invented as an alternative currency. Despite this, hardly anyone actually uses it. Most people who own Bitcoin only seem to want to trade it in the hope that the Bitcoin price will rise. I dont see this as a sensible way to invest its just gambling to me.

Things are a little better with gold. Although the yellow metal will never expand or generate income, gold has been used to store wealth and make payments for thousands of years. I think that will continue. I also like golds portability and security unlike Bitcoin, physical gold cant be hacked.

However, the reality is that the last time gold rose above $1,800/oz. was nine years ago. That peak was followed by a six-year slump that saw the yellow metal lose up to 45% of its value.

I dont think this is a good time to buy gold. But falling share prices mean that I do think its a good time to invest in stocks.

When you own shares, you own a slice of a real business. Assuming you invest in profitable, successful companies, this means that the value of your shares is backed by profits, assets and cash dividends.

Unlike Bitcoin and gold, shares do have an intrinsic value the value of the business you part-own. Most good businesses grow over time. They add new customers or products, or increase their prices to reflect stronger demand. This is reflected in rising share prices and larger dividends.

Getting started in the stock market is easier than you might think. The first thing Id do is open a tax-free Stocks and Shares ISA. You can pay up to 20,000 a year into an ISA and all future profits and income will be free of tax.

The simplest way to start buying stocks is to just put cash into a cheap tracker fund, such as a FTSE 100 index ETF. However, many indices especially the FTSE 100 are heavily weighted to a few sectors.

Almost 30% of the FTSE 100 is made up of oil stocks, miners and banks. Technology stocks account for less than 1%. Personally, I want more exposure to sectors with good long-term growth potential, such as tech and pharmaceuticals. Im not so keen banks.

The way I approach building a stock portfolio is to choose 15-20 good quality stocks that Id be happy to hold for at least five years. I then start to buy them gradually, investing a fixed amount of cash each month.

By investing regularly, I can profit from periods when prices are low. I can also avoid any risk of putting all my cash into the market just before a crash. Dividends get reinvested whenever I buy new stocks.

This is how I invest in stocks. Its not sexy and exciting like Bitcoin, but Im pretty certain its a better way to get rich.

The post Forget gold and Bitcoin. This is how Id invest in stocks to get rich appeared first on The Motley Fool UK.

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Forget gold and Bitcoin. This is how I'd invest in stocks to get rich - Yahoo Finance UK

Tesla Eating Bitcoins Lunch as Realized Volatility Hits 3-Year Low – Cointelegraph

Bitcoin (BTC) set another dubious record on July 15 as realized volatility sank to its lowest in three years.

According to data from on-chain analytics resource Skew, 30-day realized volatility recorded its smallest reading since 2017 this week.

Realized volatility refers to volatility as defined by various timespans. Low volatility tends to concern traders and analysts, particularly over extended periods, as a kickback is all too often triggered afterward.

Earlier this month, 10-day realized volatility hit 20%, its lowest since the period immediately before BTC/USD crashed to $3,100 in December 2018.

As Cointelegraph reported earlier this month, trading volumes were also down at the time, fuelling expectations that volatility would soon return to the market.

Since then, Bitcoins anticipated big move has yet to appear, with a trading corridor between $9,000 and $9,500 remaining in place.

BTC/USD realized volatility comparison. Source: Skew/ Twitter

For Cointelegraph Markets analyst filbfilb, however, there was plenty of potential for a major correction towards $8,000. Specifically, he told subscribers of his Telegram trading channel on Tuesday, the 20-week moving average (MA) at $8,200 provided a realistic support level. Alternatively, BTC should reclaim its 50-day moving average, currently close to $9,400.

Overall my position remains very cautious, he summarized.

Until then its just sideways chop until proven otherwise so I'm happy to sit that out and wait for confirmation.

In the meantime, Bitcoin is providing little inspiration, with even Tesla stock beating it on volatility.

#Bitcoin realized volatility on a three years low, Tesla is eating bitcoin's lunch! Skew commented.

Tesla has surprised by posting multiple new highs despite multiple calls for a massive correction continuing for several months. Since its recent bottom on March 18, $TSLA has gained over 300% to trade at $1,516 at press time.

Even at $1,200, Teslas market cap was over 30% larger than Bitcoins.

Tesla stock price eight-month chart. Source: TradingView

Tesla CEO Elon Musk continues to be known as a possible cryptocurrency supporter, with mysterious tweets on topics from Bitcoin holdings to Dogecoin (DOGE) causing considerable interest among users.

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Tesla Eating Bitcoins Lunch as Realized Volatility Hits 3-Year Low - Cointelegraph

No need to shape our city in the image of another – Sydney Morning Herald

Two sides, same coin

I agree with Jacqueline Maley, the noted authors she cites and others who signed the open letter in Harper's magazine against over-censorious attitudes ("When even Salman Rushdie is worried, it's time to take pause", July 12). I'd like to add, however, the common tendency to blame almost exclusively the "progressive left" for this attitude is nonsense.

It wasn't the "progressive left" which banned major literary works like Lawrence's Lady Chatterley's Lover' and Joyce's Ulysses from entering Australia for years, or hounded Yassmin Abdel-Magied out of her job and out of Australia with abuse and threats on social media, or refused a visa to Chelsea Manning. Al Svirskis, Mount Druitt

I was disappointed to read about Nick Bhasin's experience at SBS ("Not a place for people like me", July 12). However, I was also disappointed that it seems to lump all "white" people as some "English speaking" edifice. I have and am proud of a quintessentially Australian multicultural background Anglo-Australian with Scottish elements, and Polish.

It seems I would have been part of the silent white people Bhasin complains of. Not all Indian people are rude. Not all "brown" people are the same. And not all "white" people either. Paul Jurdeczka, Mosman

Innovations like the flexible solar panels invented at the University of Newcastle could make Australia a world leader in the production of next-generation renewables and secure our economic future ("Printed solar panels a shining light", July 12). Government investment of COVID-19 recovery money could take us into that new world. The major parties are navel-gazing while this fantastic opportunity slips by the nation. Barry Laing, Castle Cove

Headlines every day show us sections of the community demanding they be given special treatment because of the pandemic. The latest are universities, declaring that government "must" allow them to import students from overseas for the next term ("Desperate unis plead for spring lifeline", July 12).

They wish to conduct an experiment to see how they go at quarantining a considerable group of young people, presumably possessing the usual high spirits of youth an operation which may be viewed by the more cautious as similar to herding cats.

They appear oblivious to the previous failures in achieving quarantine here, the consequences to the rest of society and the economy. It is disappointing thinking. No one area of the community is more important than the rest. Jennifer Briggs, Kilaben Bay

"Greenwashing" is a good term to describe large polluters who grow trees as "carbon offsets". It is a PR stunt rather than real climate action ("Seeing the good for the trees in net-zero age", July 12). If we want to seriously reduce emissions, we need to switch to renewable energy and stop releasing the greenhouse genie (burning fossil fuels) from its carboniferous bottle.

On land, trees are better carbon sinks than grass. Unfortunately, we eat grass seeds and our meat animals eat grass. This has resulted in uncontrolled tree-clearing and deforestation since colonial days. While it is nice to have trees on paddock lines to provide windbreaks and shade for animals, and on slopes to reduce soil erosion: if we want to seriously increase the number of trees, we need to learn how to eat them. Does anyone have a good recipe for pine nut pie or gum leaf stew? Geoff Black, Caves Beach

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No need to shape our city in the image of another - Sydney Morning Herald

Short Redhead Reel Reviews for the week of July 17 – ECM Publishers

Rating system: (4=Don't miss, 3=Good, 2=Worth a look, 1=Forget it)

http://www.shortredheadreelreviews.com

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Ai Weiwei: Yours Truly (NR) (3.5) [Partially subtitled] [Plays in Virtual Cinema sponsored by MSP Film Society; for more information, log on to mspfilm.org.] Cheryl Hainess engaging, informative, inspirational, poignant, 76-minute, 2019 documentary that focuses on famous Chinese artist and outspoken human rights activist Ai Weiwei and his socially relevant 2014 art exhibition called @Large: Weiwei on Alcatraz, which was viewed by more than 900,000 visitors on Alcatraz Island penitentiary who penned more than 92,000 postcards to prisoners around the world, that pays homage to the many current and former prisoners, such as journalists, poets, and human rights activists, from twenty-two countries who have been unjustly imprisoned for disagreeing with those in power and consists of amazing Lego portraits, archival photographs and film footage, and commentary by Weiweis mother Gao Ying and brother Ai Dan, Amnesty International director Steven Hawkins, designer Wu Tun, dissident poet Ai Qing, former intelligence officer and whistleblower Chelsea Manning, ex-CIA officer John Kiriakou, and Guggenheim Museum curator Alexandre Munroe

Assassination of a High School President (R) (2) [Sexual content, some nudity, language, and drug and alcohol use - all involving teens.] [DVD only] When a popular basketball player (Patrick James Taylor) at a Catholic high school is seemingly framed for stealing SATs tests in this wacky, twisting film, a nerdy sophomore reporter (Reece Daniel Thompson), who is writing for his high school newspaper, begins to investigate and uncovers an insidious conspiracy that involves other students (Mischa Barton, Nick Blaemire, et al.) and the mentally disturbed principal (Bruce Willis).

Broken Embraces (R) (3.5) [Sexual content, language, and some drug material.] [Subtitled] [DVD only] Superb acting highlights Pedro Almodvars compelling, twisting, romantic thriller in which a blind Madrid screenwriter/director (Llus Homar), who is aided by a devoted, longtime production manager (Blanca Portillo) and her son (Tamar Novas), who reminiscences about his passionate love affair with his beautiful leading lady (Penlope Cruz) in his film Girls and Suitcases and her attempts to escape the bonds of her wealthy, aging, industrialist/financier boyfriend (Jos Luis Gmez) and his prying, homosexual son (Rubn Ochandiano).

Crazy Heart (R) (4) [Language and brief sexuality.] [DVD only] Entertaining honky tonk music highlights this compelling, critically acclaimed, bittersweet, well-acted film in which a scruffy, down-on-his luck, four-times-divorced, 57-year-old singer/songwriter (Jeff Bridges) finds escape in a bottle of whiskey, a longtime friendship with a bar Texas bar owner (Robert Duvall), respect from a successful country western singer (Colin Farrell), support from his manager (James Keane), and eventually hope for change from a divorced Santa Fe music scene journalist (Maggie Gyllenhaal) and her young son (Jack Nation).

Crazy on the Outside (PG-13) (2) [Sexual content and language.] After a good-hearted convict (Tim Allen) is released from a federal prison and moves in with his lying-prone sister (Sigourney Weaver) and her family (J. K. Simmons, Daniel Booko, and Karle Warren) in Santa Monica in this sporadically funny, run-of-the-mill comedy, he tries to reconnect with his former girlfriend (Julie Brown) who is now engaged to a wealthy businessman (Kelsey Grammer) and to connect with his man-leery probation officer (Jeanne Tripplehorn) and her son (Kenton Duty) while evading the illegal shenanigans of his former partner (Ray Liotta).

Daybreakers (R) (2.5) [Strong bloody violence, language, and brief nudity.] [DVD only] When humankind and vampires (Michael Dorman, Sahaj Dumpleton, et al.) are on the brink of extinction in 2019 in this futuristic, gory, violent, unpredictable, and engaging thriller, a chain-smoking hematologist (Ethan Hawke), who works for a greedy businessman (Sam Neill) estranged from his non-turned daughter (Isabel Lucas), searches for a blood substitute along with a trusted coworker (Vince Colosimo) and ultimately joins a group of humans (Willem Dafoe, Claudia Karvan, et al.) and empathetic bloodsuckers (Damien Garvey, et al.) to find cure for a plague that has decimated the living.

The Imaginarium of Doctor Parnassus (PG-13) (2.5) [Violent images, some sensuality, language, and smoking.] [DVD only] While the distraught, aging ringleader (Christopher Plummer) of a traveling theater troupe (Andrew Garfield and Verne Troyer) tries to save his soon-to-be 16-year-old daughter (Lily Cole) from the hands of the devil (Tom Waits) after making a deal with him years earlier in Terry Gilliam'svisually stunning, highly imaginative, vibrantly colored, convoluted, fantasy adventure satire, a shady fundraiser (Heather Ledger, Johnny Depp, Jude Law, and Colin Farrell) in London has his own agenda when he steps behind the magical mirror and into the heart of the beautiful, redheaded teenager.

Leap Year (PG) (3) [Sensuality and language.] [DVD only] Lush, gorgeous scenery dominates this charming, syrupy sweet, predictable, romantic, chick-flick comedy in which a perfectionist, regimented, redheaded real estate stager (Amy Adams) in Boston follows her stick-in-the-mud cardiologist boyfriend (Adam Scott) of four years to the Emerald Isle to propose to him on lucky Feb. 29 and finds herself on a bumpy, soggy, sparks-flying journey to Dublin with a hunky, small-town, Irish bar owner (Matthew Goode) when she lands at his modest Dingle hotel and bar.

The Ramen Girl (PG-13) (3) [Some sexual content.] [Partially subtitled.] [DVD only] After her coldhearted boyfriend (Gabriel Mann) dumps her in this compelling, down-to-earth, heartwarming 2008 film, a downhearted, tenacious American (Brittany Murphy) begs a grumpy, no-nonsense Japanese cook (Toshiyuki Nishida) in Tokyo to teach her how to make great ramen noodle soup.

The Spy Next Door (PG) (3) [Sequences of action violence, and some mild rude humor.] [DVD only] An entertaining, family-oriented, wit-filled, fast-paced remake of the 2003 film in which a geeky, Argyle-sweater-wearing undercover CIA spy (Jackie Chan), who works with his longtime associates (Billy Ray Cyrus and George Lopez) to capture some bad guy Russians (Magns Scheving, Katherine Boecher, Lucas Till, Tony Brenna, Jeff Chase, Mark Kubr, et al.) trying to manipulate oil prices, decides to retire and marry his artistic, clueless girlfriend (Amber Valletta) next door by winning points with her three rambunctious, hard-to-please children (Madeline Carroll, Will Shadley, and Alina Foley) and their cat, pig, and turtle.

Youth in Revolt (R) (2.5) [Sexual content, language, and drug use.] [DVD only] When a geeky, Sinatra-loving, Oakland teenager (Michael Cera), who lives with his man-obsessed mother (Jean Smart) and her beer-guzzling boyfriend (Zach Galifianakis), meets a beautiful, edgy high school student (Portia Doubleday) who desperately wants to escape her religiously zealous parents (Mary Kay Place and M. Emmet Walsh) and live in France in this wacky, coming-of-age, lose-your-virginity, star-filled (Fred Willard, Justin Long, Steve Buscemi, and Ray Liotta) comedy, he creates a flamboyant, reckless alter ego to win the girl of his dreams from her hunky boyfriend (Jonathan B. Wright).

Wendy Schadewald is a Burnsville resident.

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Short Redhead Reel Reviews for the week of July 17 - ECM Publishers

Weird AI illustrates why algorithms still need people – The Next Web

These days, it can be very hard to determine where to draw the boundaries around artificial intelligence. What it can and cant do is often not very clear, as well as where its future is headed.

In fact, theres also a lot of confusion surrounding what AI really is. Marketing departments have a tendency to somehow fit AI in their messaging and rebrand old products as AI and machine learning. The box office is filled with movies about sentient AI systems and killer robots that plan to conquer the universe. Meanwhile, social media is filled with examples of AI systems making stupid (and sometimes offending) mistakes.

If it seems like AI is everywhere, its partly because artificial intelligence means lots of things, depending on whether youre reading science fiction or selling a new app or doing academic research, writes Janelle Shane inYou Look Like a Thing and I Love You, a book about how AI works.

Shane runs the famous blogAI Weirdness, which, as the name suggests, explores the weirdness of AI through practical and humorous examples. In her book, Shane taps into her years-long experience and takes us through many examples that eloquently show what AIor more specificallydeep learningis and what it isnt, and how we can make the most out of it without running into the pitfalls.

While the book is written for the layperson, it is definitely a worthy read for people who have a technical background and even machine learning engineers who dont know how to explain the ins and outs of their craft to less technical people.

In her book, Shane does a great job of explaining how deep learning algorithms work. From stacking up layers of artificial neurons, feeding examples, backpropagating errors, using gradient descent, and finally adjusting the networks weights, Shane takes you through the training ofdeep neural networkswith humorous examples such as rating sandwiches and coming up with knock-knock whos there? jokes.

All of this helpsunderstand the limitsand dangers of current AI systems, which has nothing to do with super-smart terminator bots who want to kill all humans or software system planning sinister plots. [Those] disaster scenarios assume a level of critical thinking and a humanlike understanding of the world that AIs wont be capable of for the foreseeable future, Shane writes.She uses the same context to explain some of the common problems that occur when training neural networks, such as class imbalance in the training data,algorithmic bias, overfitting,interpretability problems, and more.

Instead, the threat of current machine learning systems, which she rightly describes asnarrow AI, is to consider it too smart and rely on it to solve a problem that is broader than its scope of intelligence. The mental capacity of AI is still tiny compared to that of humans, and as tasks become broad, AIs begin to struggle, she writes elsewhere in the book.

AI algorithms are also very unhuman and, as you will see inYou Look Like a Thing and I Love You, they often find ways to solve problems that are very different from how humans would do it. They tend to ferret out the sinister correlations that humans have left in their wake when creating the training data. And if theres a sneaky shortcut that will get them to their goals (such as pausing a game to avoid dying), they will use it unless explicitly instructed to do otherwise.

The difference between successful AI problem solving and failure usually has a lot to do with the suitability of the task for an AI solution, Shane writes in her book.

As she delves into AI weirdness, Shane sheds light on another reality about deep learning systems: It can sometimes be a needlessly complicated substitute for a commonsense understanding of the problem. She then takes us through a lot of other overlooked disciplines of artificial intelligence that can prove to be equally efficient at solving problems.

InYou Look Like a Thing and I Love You, Shane also takes care to explain some of the problems that have been created as a result of the widespread use of machine learning in different fields. Perhaps the best known isalgorithmic bias, the intricate imbalances in AIs decision-making which lead to discrimination against certain groups and demographics.

There are many examples where AI algorithms, using their own weird ways, discover and copy the racial and gender biases of humans and copy them in their decisions. And what makes it more dangerous is that they do it unknowingly and in an uninterpretable fashion.

We shouldnt see AI decisions as fair just because an AI cant hold a grudge. Treating a decision as impartial just because it came from an AI is known sometimes as mathwashing or bias laundering, Shane warns. The bias is still there, because the AI copied it from its training data, but now its wrapped in a layer of hard-to-interpret AI behavior.

This mindless replication of human biases becomes a self-reinforced feedback loop thatcan become very dangerouswhen unleashed in sensitive fields such as hiring decisions, criminal justice, and loan application.

The key to all this may be human oversight, Shane concludes. Because AIs are so prone to unknowingly solving the wrong problem, breaking things, or taking unfortunate shortcuts, we need people to make sure their brilliant solution isnt a head-slapper. And those people will need to be familiar with the ways AIs tend to succeed or go wrong.

Shane also explores several examples in which not acknowledging the limits of AI has resulted in humans being enlisted to solve problems that AI cant. Also known asThe Wizard of Oz effect, this invisible use of often-underpaid human bots is becoming a growing problem as companies try to apply deep learning to anything and everything and are looking for an excuse to put an AI-powered label on their products.

The attraction of AI for many applications is its ability to scale to huge volumes, analyzing hundreds of images or transactions per second, Shane writes. But for very small volumes, its cheaper and easier to use humans than to build an AI.

All the egg-shell-and-mud sandwiches, the cheesy jokes, the senseless cake recipes, the mislabeled giraffes, and all the other weird things AI does bring us to a very important conclusion. AI cant do much without humans, Shane writes. A far more likely vision for the future, even one with the widespread use of advanced AI technology, is one in which AI and humans collaborate to solve problems and speed up repetitive tasks.

While we continuethe quest toward human-level intelligence, we need to embrace current AI as what it is, not what we want it to be. For the foreseeable future, the danger will not be that AI is too smart but that its not smart enough, Shane writes. Theres every reason to be optimistic about AI andevery reason to be cautious. It all depends on how well we use it.

This article was originally published by Ben Dickson on TechTalks, a publication that examines trends in technology, how they affect the way we live and do business, and the problems they solve. But we also discuss the evil side of technology, the darker implications of new tech and what we need to look out for. You can read the original article here.

Published July 18, 2020 13:00 UTC

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OpenAIs fiction-spewing AI is learning to generate images – MIT Technology Review

At its core, GPT-2 is a powerful prediction engine. It learned to grasp the structure of the English language by looking at billions of examples of words, sentences, and paragraphs, scraped from the corners of the internet. With that structure, it could then manipulate words into new sentences by statistically predicting the order in which they should appear.

So researchers at OpenAI decided to swap the words for pixels and train the same algorithm on images in ImageNet, the most popular image bank for deep learning. Because the algorithm was designed to work with one-dimensional data (i.e., strings of text), they unfurled the images into a single sequence of pixels. They found that the new model, named iGPT, was still able to grasp the two-dimensional structures of the visual world. Given the sequence of pixels for the first half of an image, it could predict the second half in ways that a human would deem sensible.

Below, you can see a few examples. The left-most column is the input, the right-most column is the original, and the middle columns are iGPTs predicted completions. (See more examples here.)

OPENAI

The results are startlingly impressive and demonstrate a new path for using unsupervised learning, which trains on unlabeled data, in the development of computer vision systems. While early computer vision systems in the mid-2000s trialed such techniques before, they fell out of favor as supervised learning, which uses labeled data, proved far more successful. The benefit of unsupervised learning, however, is that it allows an AI system to learn about the world without a human filter, and significantly reduces the manual labor of labeling data.

The fact that iGPT uses the same algorithm as GPT-2 also shows its promising adaptability. This is in line with OpenAIs ultimate ambition to achieve more generalizable machine intelligence.

At the same time, the method presents a concerning new way to create deepfake images. Generative adversarial networks, the most common category of algorithms used to create deepfakes in the past, must be trained on highly curated data. If you want to get a GAN to generate a face, for example, its training data should only include faces. iGPT, by contrast, simply learns enough of the structure of the visual world across millions and billions of examples to spit out images that could feasibly exist within it. While training the model is still computationally expensive, offering a natural barrier to its access, that may not be the case for long.

OpenAI did not grant an interview request, but in an internal policy team meeting that MIT Technology Review attended last year, its policy director, Jack Clark, mused about the future risks of GPT-style generation, including what would happen if it were applied to images. Video is coming, he said, projecting where he saw the fields research trajectory going. In probably five years, youll have conditional video generation over a five- to 10-second horizon." He then proceeded to describe what he imagined: you'd feed in a photo of a politician and an explosion next to them, and it would generate a likely output of that politician being killed.

Update: This article has been updated to remove the name of the politician in the hypothetical scenario described at the end.

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OpenAIs fiction-spewing AI is learning to generate images - MIT Technology Review

This new open source project could be key to securing database applications – TechRepublic

Commentary: Cyral has been on a roll with two open source projects designed to make security a natural part of the development workflow.

Image: metamorworks, Getty Images/iStockphoto

Moving database applications to the cloud has been a boon for development teams anxious to move faster. It has also, however, exposed security flaws inherent in traditional security solutions, something data layer security startup Cyral has been tackling. To take this a step further, Cyral recently open sourced a project called Approzium to enable developers to better observe and secure data by themselves. It's a cool project for several reasons, not the least being that in security, obscurity really isn't your friend.

By open sourcing Approzium, Cyral makes it easier for developers to trust the project precisely because they don't really have to trust it--they can see the code. It turns out open source offers other advantages for Cyral, as well.

SEE:How to build a successful developer career (free PDF)(TechRepublic)

Approzium, available free for download under the Apache 2.0 open source software license, is designed to make lives easier for developers to iterate code faster and ship more secure applications and services. On the observability side, Approzium helps to eliminate blind spots in the diagnosis and tracing of complex performance problems within microservice architectures. On the security side, it also lets developers connect their applications to databases without the need to access credentials, thereby preventing leaks that can arise through inadvertent application logging, application compromise, or theft of secrets manager API keys.

In these ways, Approzium complements an organization's existing investments in monitoring tools like Datadog, New Relic, and Grafana, as well as secrets managers like HashiCorp's Vault. Out of the box, it supports Grafana, reporting performance and security metrics to the Grafana dashboard. With minor modifications, it can do the same for Datadog and other dashboards.

At first glance, I assumed Cyral was using a modified "open core" strategy here, but the company tells me that, no, Approzium is a fully functional, standalone service. It's simply an SDK that is easy to incorporate into an application and runs as a self-hosted service. It eliminates the need for credentials in code and provides confirmed identity information at runtime and enriches logs with service identity instead of simply logging a shared user.

Nice.Approzium follows Cyral's release in January of the open source brewOPA project, created to make it easier for developers, DevOps, and SecOps teams to interface with policy engines of the future. As Steven J. Vaughan-Nichols has written on TechRepublic sister site ZDNet, brewOPA helps developers to take advantage of YAML interfaces to bridge the gap between DSLs for data security in the new world of cloud-native, Kubernetes, service meshes, and more.Both open source projects help get developers invested in security from the start, rather than trying to bolt it on at the end of their development cycle. In this way, it has become critical to make security feel like a natural part of the development process so that it doesn't slow developers. Getting this balance right is increasingly critical to the success of open source projects, as well as the companies that hope to capitalize on them, like Cyral. In this case, Cyral seems to have handled the balance between its commercial complements to the open source Approzium and brewOPA projects with aplomb.

Disclosure: I work for AWS, but the views expressed herein are mine and don't reflect those of my employer.

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This new open source project could be key to securing database applications - TechRepublic

21 Terabytes of Open Source Code Is Now Stored in an Arctic Vault – VICE

For those worried about preserving the heritage of open source coding for future generations, rest assured, a deposit of GitHubs public repositories has made it safely to the Arctic World Archive.

According to a GitHub blog post, the code was successfully deposited on July 8, 2020 to the Github Arctic Code Vaulta data repository preserved in the Arctic World Archive, a facility for data preservation in Svalbard, Norway. The effort is part of the Github Archive Program and is Githubs second deposit made through the program.

Our mission is to preserve open source software for future generations by storing your code in an archive built to last a thousand years, GitHub wrote.

According to the blog post, a snapshot of all the active public repositories on GitHub was taken on February 2, 2020, resulting in 21 TB of repository data. In GitHub, a repository is used to organize a project and contains all the folders and files needed for the project to run.

This data was then written onto 186 reels of piqlFilma digital photosensitive archival film. According to a spokesperson for Piql, the makers of the film, the technology is a completely self-contained medium and any files stored on it will be recoverable in the future regardless of available technologies.

All information required to recover stored information is written on the film itself in human readable text, along with file specifications and source code for the retrieval software, the spokesperson told Motherboard in an email.

This is good news for advocates of open source coding who want to preserve a snapshot of all of Githubs public repositories. GitHub says on its website that it has over 50 million users and more than 100 million repositories.

As todays vital code becomes yesterdays historical curiosity, it may be abandoned, forgotten, or lost, Github wrote on its website. Archiving software across multiple organizations and forms of storage will help ensure its long-term preservation.

Every reel in the archive will include a guide in five languages. Information documenting the technical history and cultural context of the archive will be included as well.

Partners with GitHub in the Github Archive Program include the Internet Archive, Software Heritage, and Project Silica.

According to its website, the Arctic World Archive was established in 2017 and holds a collection of digital artifacts and information from over 15 contributing countries. The archive is located in the permafrost of an arctic mountain in the Svalbard archipelago and is designed to withstand natural and man-made disasters.

Other artifacts stored in the archive include manuscripts from the Vatican Library and masterpieces from the National Museum of Norway.

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21 Terabytes of Open Source Code Is Now Stored in an Arctic Vault - VICE

Platform Cooperatives: Workplace Democracy for the 21st Century? – DiEM25

Worker-owned Deliveroo alternative Kolyma2 offers a potential blueprint for transitioning the platform economy to a post-capitalist world.

The platform economy as the business model of Deliveroo, Lieferando, UBER and Airbnb is called is a relatively new phenomenon. When it appeared, traditional unions did nothing to protect the workers from the new forms of exploitation that came along with it. It appears as independent, freelance work, but in reality it is not. Class struggle still lies at the heart of it: Some platforms like e.g. UBER do employ freelancers because they dont want to pay social benefits like health insurance, sick leave, vacations etc. This disruptive behavior has fierce effects on national and global economies.

A delivery rider earns 10,50 Euro on average, which is more than minimum wage in Germany, but in fact its less: If no order is dispatched to you, you dont earn anything and flat hourly rates are rare. Most riders pay their own gear smartphone, bike, maintenance and dont have paid holidays or sick leave.

In big cities like Paris most of the delivery riders are (illegal) migrants that do the job because they simply wont find another one. They often work as subcontractors for other bicycle couriers that have a legal status and dont perceive the flexible working conditions as a benefit. This not entirely the fault of the platforms, however, but also a result of the general situation of migrants that politics failed to address. Also there is a fierce competition between different platform companies, as they aim for market dominance.

This caught my attention immediately because it touches on many of the topics that we at DiEM25 discussed in our seminal policy paper: Technological Sovereignty Democratising Technology and Innovation. I couldnt wait to observe our theoretical concepts in real life. In early summer 2020 I finally got to talk to some people of Kolyma2 in a video conference.

Stefano Lombardo the prolific founder of Kolyma2 had been working for Deliveroo for more than four years. He was already planning to form a cooperative during his Deliveroo years. While riding for the multinational company, however, the idea never kicked off. But when Deliveroo left Berlin, he seized the opportunity. This is how the food delivery cooperative Kolyma2 started: with a tiny landing page and a telegram channel.

As adorable as this lo-fi approach was, technology seemed to play a crucial part, as it was really complicated to complete an order. The amount of communication between customers and riders was enormous. As a result, in November 2019, Kolyma2 had to close down operations. Apart from the technology there have been other issues. It simply was too much work on the shoulders of too few people.

But that wasnt the end of Kolyma2. In January 2020 they returned, equipped with better infrastructure. They teamed up with the French developer Alexandre Segura, who goes by the moniker Mex, and the platform Coopcycle. For once the COVID-19-Shutdown came in handy and business boomed in spring 2020.

The Coopcycle app brought in new customers that insisted on using a real app. From 60 orders on one weekend, the turnover rose to 80 orders per day. This was important to sustain Kolyma2, says Stefano.

You need to generate revenue, because dedication and idealism alone dont sustain your life. In 2019 we just imploded. We burnt out.

Mex platform Coopycycle the new app that is at the core of Kolyma2 has been built upon the remains of another failed startup: The Belgian delivery company Take Eat Easy. Mex tried to wrap his head around the fact that this billion-dollar startup could fail so badly and lose all its money. He felt that it couldnt be so complicated to build a food-ordering app. So Mex cloned the application and played around with it. Meanwhile, the idea of rider cooperatives with collective bargaining power started circulating across Europe.

Until then, Mex had thought that cooperatives belonged in the 19th century, as he vaguely remembered some socialist writings by thinkers like Charles Fourier or Robert Owen. However, he suddenly realized that the concept makes perfect sense in the modern world.

The idea arose that he could develop an app that belonged to delivery riders and that it could act as the factory they commonly own. Riders could run the platform on a local scale without global structures involved. Technology is not everything, for sure, he adds, but you need to have an app and a functional website to compete.

So why not build an open source solution and spread it around? For cooperatives like Kolyma2, this means having a boilerplate code for a monthly fee that is based on their turnover on the platform.

The idea of (publicly financed) open source software platforms that dont belong to a private entity but can be used by all citizens is something that DiEM25 already identified in the Technological Sovereignty paper. Such a commonly usable tool is a crucial means to level the playing field: To make sure that newcomers like platform cooperatives have a fair chance to compete against global players.

Bike messaging organised as a cooperative has been a thing in urban areas for some time now. The individuals working in this field are particular, as they are often left-leaning, anarchist and ecological. In that regard, e.g. UBER drivers really are a different crowd.

Mattia and Dana early members of the Kolyma2 collective think that the difference between a cooperative like Kolyma2 and a company like Deliveroo is the level of group engagement. It is different to work for a collective that you are part of, as opposed to working for a boss that you will probably never meet. At Kolyma2 there are no regular meetings, but they communicate via text messenger as this feels more organic in terms of chaos and flow. Not everyone likes to get involved at the same level. Some people only want to ride a bike for a living. Self-organization can be a lot of work.

There is a benefit to getting to know the work process, says Mattia, because at a company like Deliveroo you always feel kept at bay and there also was a kind of anxiousness about how long your job was about to last.

Most people value their freedom more than a fixed contract. There can be flexibility for everyone, not just for the upper echelons of these emerging economies. For Dana, for example, security isnt really an issue when it comes to her job. She prefers to live in the now and not in a possible future. Mattia, on the other hand, did have a fixed contract while working for Deliveroo. In reality, however, he wasnt secure in his job. It was a six-month contract with automatic renewal, but when he became sick near the end of one contract it turned out that the contract hadnt been renewed. Now, he prefers to work for a cooperative that he trusts and where he despite his freelancer status feels safer.

As of now, Kolyma2 is just a network of freelancers, but that is going to change soon as the company is now joining Smart Cooperative. Smart is a legal structure that enables freelancers to employ themselves in a cooperative. You make a contract based on your projected income and they pay you a monthly wage. Smart will host Kolyma2 under a legal umbrella until they are ready to fund themselves.

An important issue in the platform economy is the agency workers have over managing their reputation. Even liberals will agree that someone that has a good working biography should be able to use it in the labor market. If you work for platforms like UBER or Deliveroo, however, your reputation or rating belongs to the company and it disappears as soon as you stop working for them. Thats one of the reasons why DiEM25 argues for data unions representative organisations of platform workers that make sure that they can negotiate the terms and conditions of their contracts and prevent such bad business conducts.

Furthermore, the software itself is a crucial tool for platform cooperative like Kolyma2. Coopcycles app runs on a license inspired by Dmytri Kleiners Copyleft concept Coopyleft. To prevent that a giant like Lieferando just comes and takes away the software, in the Coopyleft license, the source code can only be used by entities who stick to certain ethical principles. To use software protected by a Coopyleft license, you need to use a cooperative model and fit the definition of a social economy actor as defined by the European Union.

This certainly has to be explored in more detail, as the world of delivery drivers is a unique ecosystem that doesnt necessarily translate to other work areas.In any case platform cooperatives can play a crucial part in helping to imagine new models of workplace democracy and workers organization.

Nick Srnicek argues in his book Platform Capitalism that the state should act as a kind of Venture Capitalist in the platform economy to ensure competitiveness. Stefano doesnt agree, because he thinks the state should stay out of these issues. Workers should learn to run a company the hard way, instead of learning to fill in funding applications. Otherwise you dont learn to get to know your customers and their needs.

In our Technological Sovereignty policy paper we demand to make EU funding for research and innovation more easily accessible for civil society organisations, non-profit technology projects, cooperatives and other actors with a clear mission of green and social change. With that and a Universal Basic Dividend that makes sure society gets a fair return on its public investment future cooperatives might have the financial means to explore these possibilities in a safe space.

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Platform Cooperatives: Workplace Democracy for the 21st Century? - DiEM25

Leaked FBI Docs Show Just How Easily They Track Bitcoin – And The Untraceable Coin They’re Frustrated With… – Global Crypto Press

We've pointed out how the mainstream media's constant reference to Bitcoin being 'untraceable' just isn't true, and the FBI agrees - saying they're "far from being anonymous" and that there are also various types of software, open source and proprietary, that carry out an exhaustive exploration of transactions on their blockchain.

But one coin does qualify as 'untraceable' at least for now, and it's a thorn in the FBI's side as they admit to having an inability to detect the destination of the funds in operations when Monero (XMR) is used.

The FBI report appeared in a leaked document repository, and shows three cases involving Panamanian cryptocurrency exchange MorphToken. The document explains three cases of supposedly illegal exchanges of bitcoin (BTC) to monero (XMR) in said exchange house.

The leaked report is part of the documents released in Blueleaks, an extensive collection of police reports and government office documents published by the Anonymous group.

The FBI points out in the document that it evaluated actors in the dark web market (Darknet Market or DNM) that turned bitcoin into monero, allegedly unlawfully . The federal office rates monero as an enhanced anonymity cryptocurrency (AEC), implying that the aforementioned conversion prevents law enforcement officials from mapping the destination of the funds.

But That's Not Necessarily A Dead End...

If someone is converting Bitcoin to Monero, they're using an exchange. This means there's still a way to find what IP address is behind a Montro transaction. Instead of following entries on the blockchain's ledger, they're looking at server logs of the exchanges used to execute the transactions.

The evaluation is highly reliable, says the FBI, and is based on that agency's research, analysis of blockchains, and the use of "proprietary software." Also, the FBI says in the leaked document that it used information from the MorphToken cryptocurrency exchange, which operates in Panama.

Given that after the conversion to monero, the FBI cannot detect the destination of the funds , this agency assumes that the DNM actors do not carry out such a conversion to "diversify their portfolio." The suspicion of illegal activities is based, according to the FBI, on two factors: the availability of information about the inability to trace the funds once converted to monero and the existing means to acquire them without providing user information.

In the first case addressed by the FBI, Bitcoin transaction fees processed by Cryptonia, which operates in the DNM, were detected between May and September 2019. These were sent to addresses associated with MorphToken, according to blockchain analysis and investigations. from the FBI. All bitcoin, says the FBI, was converted to monero.

In another case, bitcoin shipments from the sale of drugs to MorphToken were detected in November 2019, by 4 participants from the DNM. In this case, proprietary software that analyzes Bitcoin transactions and open source software for traceability of the Bitcoin blockchain were used. More recently, in January of this year, actors associated with the DNM Apollon sent at least 11 bitcoin to MorphToken for conversion to monero.

Reality Check...

We're for legitimate usage of cryptocurrencies, and believe it being used for illegal purposes does nothing but slow mass adoption, even though the reasoning behind this lacks any logic.

It's important to remind everyone that every government provides untraceable currency themselves - it's called cash.These days, physical cash can be turned digital easily via a pre-paid debit cards available at thousands of convenience stores, even many gas stations - with no ID needed.

So don't let any spin you find elsewhere convince you that cryptocurrencies provide a new level of anonymity.

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Leaked FBI Docs Show Just How Easily They Track Bitcoin - And The Untraceable Coin They're Frustrated With... - Global Crypto Press