If you ever thought that you wouldn’t see a car that drives itself in real life, that moment has now come. The future is here and Google has showcased their technology and released a video of the first public self-driving car user. The lucky man is named Steve Mahan.
Google describes their video release of the Self-Driving Car on YouTube as the following:
“We announced our self-driving car project in 2010 to make driving safer, more enjoyable, and more efficient. Having safely completed over 200,000 miles of computer-led driving, we wanted to share one of our favorite moments. Here’s Steve, who joined us for a special drive on a carefully programmed route to experience being behind the wheel in a whole new way. We organized this test as a technical experiment, but we think it’s also a promising look at what autonomous technology may one day deliver if rigorous technology and safety standards can be met.”
The video starts out with some really mellow music from the Album Leaf – “We Need Help.” Mr. Mahan is walking out to the car in a driveway and briefly touches the backend of the car to find his way around to the driver’s side. As he opens the door a Google employee named Nathaniel says, “Good morning Steve.” Steve replies, “Hey Nathaniel. How are you?” After a bit of banter Nathaniel tells Steve to go ahead, a little bit of electronic beeping starts and the Google Self-Driving Car announces, “Auto Driving.”
That is the future of the roadways in America and most likely the world within probably a decade. The car takes off and you can enjoy the completely automated driving done by the car while Steve Mahan mans the driver’s seat. You see the steering wheel turning from side to side all on it’s own as the self-driven car expertly handles parked cars, turns and stops.
At one point Steve announces, “Look, Ma, no hands” and starts laughing. Steve adds, “No hands, no feet.” Nathaniel says, “No hands, no feet, no nothing.” How does Steve feel about this experience? Steve says, “I love it.” After driving around for awhile everyone’s getting a little hungry and Steve says, “Hey anybody up for a Taco?”
The journey starts to drive-thru and Taco Bell. Guess what? The car handles the drive-thru window experience just fine as well. After they get their food you can actually see Steve sitting in the driver’s seat while he’s eating a taco in his hands. The future of driving? Doing what you want, like putting on your make-up, eating while driving, texting while driving, talking with your kids, you name it. Now, all of the sudden, those in car video screens could become useful for even the driver.
Steve tells his story in the Self-Driving Car Test video released by Google. Steve’s story:
95% of my vision is gone. I’m well past legally blind. You lose your timing in life, everything takes you much longer. There are some places that you cannot go there are some things that you cannot do. Where this would change my life is to give me the independence and the flexibility to to go the places I both want and need to go when I need to do those things.
Google labels Mr. Steve Mahan as Self-Driving Car User #000000001
The video was Produced in Partnership with Morgan Hill Police Department and Santa Clara Valley Blind Center San Jose, CA.
The video ends with what Steve has probably been ready for all his life, driving on his own, he announces, “You guys get out, I’ve got places to go…” Being blind in the future doesn’t have to be so limited it seems.
Here’s a video explaining how Google’s Self-Driving Car Works:
Here is a video on General Motors future self-driving car the EN-V based on Segway technology
Here is Mashable’s tour of Google’s Self Driving Car at the TED Conference:
Here’s an outside look of the Google Self-Driving Automobile at the TED Conference speeding around the course:
Instagram Roll Out Trial Updates In Australia
Instagram removes the feature that allows users to see the accumulated likes of every photo.
As a way to overhaul Instagram in Australia, the popular photo-sharing platform plans to stop showing the total number of likes your photo has accumulated — relatively bad news for most social media influencers or what we call “Instagram models.”
Instagram on Thursday rolls out a trial update that removes several functionalities such as the total number of likes on photos, the viewing of videos on user feeds and profiles, and permalink pages. Meanwhile, you can still check the total number of your photos.
The said update will be mandatory in all devices, says in a report by Channel 7. However, in Australia, that has the app, will receive the update whether they like it or not.
The trial update expands on a similar change to other countries—which was initially introduced in Canada last May— such as New Zealand, Japan, Ireland, Italy, and Brazil.
Notably, the Guardian noted that Australia was among the first countries chosen for the trial due to its fast-growing and highly engaging community of Instagram users and tech enthusiasts.
The change Instagram is taking follows the research that accuses the platform of becoming a very hostile application and threatens teenagers’ mental health.
“The idea is to just really let you focus on the content and the experience of engaging without being worried or feeling pressured over how many likes a post has received,” says Instagram Australia’s Director of Policy.
In today’s generation, people are seeking validation from the Internet. For Instagram, the more red hearts a photo gets means that more people like that perception of you. Furthermore, the photo-based platform was appreciated because it provided a space for self-expression and self-identity.
However, it also cannot be denied that it has helped shape unrealistic goals based on two-dimension photos or curated content. Recently, the platform was associated with high levels of anxiety, depression, bullying, and FOMO, or the “fear of missing out.”
A 2017 UK study found that out of five major social networks, Instagram was the most harmful to young people’s mental health. Snapchat followed, with Facebook going third, Twitter fourth, and YouTube fifth.
Last year, the Pew Research Center found that 37 percent of teens felt “pressure” to post content that will get a lot of likes and comments; and this year, research from the American Psychological Association linked mental health issues and an increase of suicide rates in young Americans due to digital media.
To workaround the pressing issues within the platform, Instagram has decided to remove the number of likes from appearing on other people’s profile.
“We want to make sure that people are not feeling like they should like a particular post because it’s getting a lot of likes and that they shouldn’t feel like they [are] sharing solely to get likes,” The Facebook Australia and New Zealand director of policy, Mia Garlick said.
The company hopes that this change will foster a new environment, where users will get to share content, photos, videos, and “the things you love” without the fear of judgment or the pressure “accumulating likes.”
“We are now rolling the test out to Australia so we can learn more about how this can benefit people’s experiences on Instagram, and whether this change can help people focus less on likes and more on telling their story,” Garlick adds.
In line with Instagram’s move on mitigating the brewing problem on its users’ mental health, it has also taken steps in addressing the issue of bullying.
Earlier in July, Instagram released an AI-powered feature that lets users know of a possible offensive comment. When a user types out “You are so ugly and stupid,” for example, a user will get a notification that states “Are you sure you want to post this?”
On the other hand, it is quite uncertain how this change will significantly affect Instagram influencers. Primarily, these people earn their salaries based on the number of likes a specific post gets, their number of followers, and overall engagement.
Instagram says that the change won’t affect measurement tools for businesses and creators on Instagram, such as likes and engagement metrics. Influencers could still see those numbers and share them via self-reporting to brands looking to work for them.
However, in a society where the number of likes attracts new followers and more engagement, it will be interesting to see how the business model will change once all of that said features were removed.
Another China-Based Server Discovered Open Containing 1TB Of Personal Data
The data appears to come from more than 100 loan-related apps and exposing a handful of sensitive data that researchers think caused by the problematic security of Chinese Fintech industry.
Nearly one terabyte of data has been left open by a China-based server for everyone to see that includes sensitive information of people, including their SMS and call logs.
The unprotected database was discovered by Safety Detectives’ research team led by Anurag Sen, which contained at least 889 gigabytes of data and was growing every day until it was closed. The researchers were not able to determine who owns the database, but they were able to confirm that it originated from China.
According to the researchers, the information contained in the exposed database came from more than 100 different loan-related applications. They also said that the database they discovered was a “treasure trove of data” and has contained sensitive information of millions of Chinese citizens.
The most crucial pieces of information that made the researchers conclude that the database includes data from loan-related applications is the discovery of several credit evaluation reports, which contain loan records and details, risk management data, and real ID numbers, as well as, personal information like name, phone number, and address.
In 4.6 million unique entries, the researchers were able to find other data like:
- GPS location
- A detailed list of contacts
- SMS logs
- IMSI numbers
- IMEI numbers
- Device model/version
- Stored app data
- Memory data
- Operator reports
- Transaction details
- Mobile billing invoices
- Full names
- Phone numbers
- Bill amount per month
- Call log
- Credit and debit card details
- Concentrated list of apps on each mobile device
- Detailed tracking of app behavior
- Device information
- Device location
- Launch & exit times
- Duration on the content, etc.
- Passwords with MD5 encryption, which can be decoded
Furthermore, the amount and type of data discovered by the team inside the previously exposed database led them to conclude that citizens are being tracked in detail.
“Things including a user’s IP address and duration of a given activity, call logs, SMS exchanges (including content of the SMS), and the various apps installed on the devices are all within the scope of data made available by this leak,” reads the report of Safety Detectives penned by Jim Wilson.
The researchers raised many concerns regarding the database they have uncovered. According to them, the database could be used by marketers to “hyper-target” their customers and “fine-tune” their messages to them. Worse, the data could also be used by threat actors to carry out fraud, and “it could also be easily used in either ‘friendly’ government spying or not-so-friendly espionage.”
There is enough amount of data for anyone to completely take over someone’s identity without any considerable effort. “If this data were to be sold on the Dark Web, it could easily be packaged into a ‘deal’ where an individual’s financial, medical, and personal life are up for grabs,” the researchers warn.
This is not the first time that a database originating from China was discovered to include sensitive personal and financial information of Chinese citizens. Earlier this year, Victor Gevers, a security researcher from GDI.Foundation, found a similar database that contains sensitive information of Chinese citizens that appeared to be coming from servers of the popular payment platform, Alipay.
The database includes transaction details of Alipay users, and Gevers claimed that it is being sold to third parties for a price.
Alipay denied the accusation and offered an alternative explanation on the data that was discovered. They said that they are not selling transaction details of their users. Instead, the transaction details could have been willingly uploaded by users through a loan app.
According to the investigation conducted by the company, some Alipay customers submitted their Alipay account names and passwords to a particular online lending platform. Such information was obtained by crawler companies that work with these online lending companies and was then stolen by hackers.
Back in March, Gevers said that the continuous discovery of databases, like what he discovered earlier this year and the one discovered by Safety Detectives recently, highlights the massive problem with China’s fintech industry.
He noted that most financial data leaks happen because sources trust third parties with their data. Most of the time in Fintech, experts see third parties doing machine learning and analytics to generate insight. “Knowing what the Chinese people are spending their money on based on one of the biggest financial institutions has a very high market value in and outside China,” he said.
24 Million Images Used For Facial Recognition Were Secretly Scraped All Over The Internet
They were taken from people’s social media accounts, websites, social media, photo sharing, and online dating platforms, and also taken by digital cameras in public places, as well as, unencrypted communications.
If ever you’re wondering where do facial recognition systems compare your photos with, know that it is probably compared to your picture that was secretly gathered by governments and tech companies to develop the facial recognition AI.
A database of millions of images secretly extracted by the US and Europe from people’s social media accounts, websites, social media, photo sharing, and online dating platforms and also taken by digital cameras in public places, as well as unencrypted communications, exists and is now being used facial recognition systems around the world. These systems are ubiquitously by police and state intelligence agencies without you knowing that they have a copy of your face on their system.
In research published by Megapixels.cc, a cybersecurity research firm focused on facial recognition, 24 million non-cooperative, non-consensual photos in 30 publicly available face recognition and face analysis datasets.
Out of these 24 million images, 15 million face images are from Internet search engines, over 5.8 million from Flickr.com, over 2.5 million from the Internet Movie Database (IMDb.com), and nearly 500,000 from CCTV footage.
“All 24 million images were collected without any explicit consent, a type of face image that researchers call “in the wild.” Every image contains at least one face, and many photos contain multiple faces,” reads the study.
The researchers approximated that out of all the millions of images they have found in the said datasets; there are one (1) million people who owned those photos. Furthermore, the researchers found out that the majority of the images originated from the USA and China.
However, they claimed that with all the research papers they have analyzed, only 25% of the datasets originated from the USA, and most of the images are taken from Chinese IP addresses. They also highlighted that limitations in their study only allowed them to evaluate research papers written in English and the big implication for this is that there is a possibility that foreign use could be bigger than the actual number they have found out.
The images in the datasets are not only those that can be found from online databases and social media platforms. A considerable number of photos in the analyzed dataset were taken from government databases.
For example, out of the 24 million images they have analyzed, at least 8,428 embassy images from at least 42 countries (with most originating from China and US embassies, as earlier mentioned) were found in face recognition and facial analysis datasets. Over 6,000 of the images were from US, British, Italian, and French embassies (mostly US embassies).
“These images were found by cross-referencing Flickr IDs and URLs between datasets to locate 5,667 images in the MegaFace dataset, 389 images in the IBM Diversity in Faces datasets, and 2,372 images in the Who Goes There dataset,” they added.
As part of their findings, the researchers said that these images were used for commercial research by Google (US), Microsoft (US), SenseTime (China), Tencent (China), Mitsubishi (Japan), ExpertSystems (Italy), Siren Solution (Ireland), and Paradigma Digital (Spain); and military research by National University of Defense Technology (China).
The facial recognition phenomenon
Facial recognition technology has been the center of public conversation as well as legislative and regulatory dialogue in the past few years. The focus of the conversation points to how law enforcement agencies, government offices, as well as a private business, use an unregulated technology.
Law enforcement has been very defensive with their use of facial technology in their operations. They argue that technology helps them keep the security of citizens against unlawful elements.
However, the opposite side of the pole asserts that facial recognition technology violates people’s privacy. Human rights and privacy advocates believe that the premise behind facial recognition systems is problematic in itself and law enforcement, big brother governments, and even businesses who have access to the technology can easily track people’s movements against their consent.
They raise their fears that facial recognition may grow to be a social enemy instead of a friend as regulations governing its use is not enough to protect people’s security and privacy.
“Unless we really rein in this technology, there’s a risk that what we enjoy every day — the ability to walk around anonymous, without fearing that you’re being tracked and identified — could be a thing of the past,” said Neema Singh Guliani, the American Civil Liberties Union’s senior legislative counsel.
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