“AI chatbots have exploded in popularity over the past four months, stunning the public with their awesome abilities, from writing sophisticated term papers to holding unnervingly lucid conversations. Chatbots cannot think like humans: They do not actually understand what they say. They can mimic human speech because the artificial intelligence that powers them has ingested a gargantuan amount of text, mostly scraped from the internet.
This text is the AI’s main source of information about the world as it is being built, and influences how it responds to users. If it aces the law school admissions test, for example, it’s probably because its training data included thousands of LSAT practice sites. Tech companies have grown secretive about what they feed the AI. So The Washington Post set out to analyze one of these data sets to fully reveal the types of proprietary, personal, and often offensive websites that go into an AI’s training data.”
“OpenAI, Google, and other companies building large-scale AI projects have traditionally paid nothing for much of their training data, scraping it from the web. But Stack Overflow, a popular internet forum for computer programming help, plans to begin charging large AI developers as soon as the middle of this year for access to the 50 million questions and answers on its service, CEO Prashanth Chandrasekar says.”
“Now two teams of forensic linguists say their analysis of the Q texts shows that Mr. Furber, one of the first online commentators to call attention to the earliest messages, actually played the lead role in writing them. Sleuths hunting for the writer behind Q have increasingly overlooked Mr. Furber and focused their speculation on another QAnon booster: Ron Watkins, who operated a website where the Q messages began appearing in 2018 and is now running for Congress in Arizona. And the scientists say they found evidence to back up those suspicions as well. Mr. Watkins appears to have taken over from Mr. Furber at the beginning of 2018. Both deny writing as Q. The studies provide the first empirical evidence of who invented the toxic QAnon myth, and the scientists who conducted the studies said they hoped that unmasking the creators might weaken its hold over QAnon followers.”
“Sensor Tower, a popular analytics platform for tech developers and investors, has been secretly collecting data from millions of people who have installed popular VPN and ad-blocking apps for Android and iOS, a BuzzFeed News investigation has found. These apps, which don’t disclose their connection to the company or reveal that they feed user data to Sensor Tower’s products, have more than 35 million downloads.”
“Hackers are tapping in to cameras intended for home security, talking to children through the devices and even dropping racist remarks, according to multiple news reports. The intended purpose of a two-way talk function on the devices is to allow parents to check in on their children. But hackers are using them to wake people up in the middle of the night, and watch unsuspecting children.”
“Les baby-boomers sont-ils plus sages que les millennials? Les millenials sont-ils tous des enfants gâtés? Ces étiquettes qui collent aux générations sont souvent fausses. Mais nous sommes toujours pris dans l’air du temps, comme le rappelle la définition sociologique du terme «génération»: groupe d’âge façonné par des événements et des influences historiques et sociaux communs.”
“Predictim analyzes their digital footprint to accurately assess their level of risk, giving you a complete picture of them that can’t be achieved with only a standard background check.”
“Facebook has submitted a patent application for technology that would predict who your family and other household members are, based on images and captions posted to Facebook, as well as your device information, like shared IP addresses. The application, titled “Predicting household demographics based on image data,” was originally filed May 10, 2017, and made public today. ”
“Car makers are collecting massive amounts of data from the latest cars on the road. Now, they’re figuring out how to make money off it. With millions of cars rolling off dealer lots with built-in connectivity, auto companies are gaining access to unprecedented amounts of real-time data that allow them to track everything from where a car is located to how hard it is braking and whether or not the windshield wipers are on.
The data is generated by the car’s onboard sensors and computers, and then stored by the auto maker in cloud-based servers. Some new cars have as many as 100 built-in processors that generate data”.
Source : What Your Car Knows About You – WSJ