The man who invented the World Wide Web, Tim Berners-Lee, argues that the evils of artificial intelligence have been exaggerated. ARTHUR GOLDSTUCK reports from Las Vegas.
The man who invented the World Wide Web could be mistaken for a schoolteacher, or perhaps a university professor. A slight build, spectacles and thinning brown hair combine with an almost humble demeanour that is difficult to associate with a legacy as great as any of the giants of the technology world.
Tim Berners-Lee was looking for an easier way to connect information when he first came up with the concept of the World Wide Web in the 1980s, while working as a physicist at the CERN laboratory in Switzerland. Today he is a director of the World Wide Web Consortium (W3C), which in effect sets the technical rules for how the Web operates. But he remains an academic, and is a senior researcher and founder chair at the MIT Computer Science and Artificial Intelligence Laboratory.
It is little wonder, then, that he is as preoccupied with artificial intelligence (AI) as he is with the Web. The latter remains his baby, however, and he has far more to say about it than any other topic. In March 2017, he issued an open letter warning that we have lost control of our personal data, that it’s too easy for misinformation to spread on the web, and that political advertising online needs transparency.
Clearly, he is not one to gloss over the perils of progress. So, when it was announced that he was to offer his insights into the dangers of AI at the Dell EMC 2017 conference in Las Vegas, it became the must-attend talk of an already-intensive convention.
The conference represented the first joint convention by two giants of the computer world, following computer manufacturer Dell’s purchase of storage leaders EMC for $67-billion – the biggest IT acquisition ever. EMC and its subsidiary VMware are responsible, respectively, for the storage and the management platforms of a large proportion of the world’s cloud computing infrastructure. The cloud, in turn, is going to be integral to AI, hosting and processing the massive amounts of data that will allow AI to help human beings make and act on decisions.It was no surprise that a record 13 500 delegates attended Dell EMC World. And it was no surprise that the lines to get into Berners-Lee’s “AI in Perspective” talk were almost as long as those for the conference’s opening keynote by Dell founder Michael Dell.
The Web founder did not disappoint.
While he speaks with a rapid-fire energy that sometimes appears to run ahead of his thoughts, he delivers his perspective of the future with both authority and empathy.
“The promise of AI is really exciting, but you still have to look at it as the thing which makes a lot of people concerned,” he says by way of introduction. “We have to look at not just the hopes, but also the fears.”
The promise, he says, is that of almost all computer projects:
“We’re trying to get machines to do things we don’t want to do, like filling out a form. A lot of the progress in computing starts off with simple things, like doing accounts and taxes. Translating languages has always been just about to happen, but is now starting to become functional.
“You can train a machine to beat a game. Instead of training it by looking at lots of people playing a game, you just teach it to play against it self and it becomes better than a human.
“You can grab yourself some cloud storage and some cloud computation and find some open data produced by government or scientific or enterprise, find lots of data, find the latest algorithm, and create something that has added value, and put out signal where there wasn’t signal before. Like enabling you to decide where to invest.
“More and more, computers are starting to tick off all those things we were told computers just couldn’t do. So these are very exciting times.”
There are two key problems in this Utopian vision, however. The first seems easily solved:
“There is a huge dearth of people who know how to do this stuff, but there will be more and more. The stuff is out there and you can teach yourself. The promise is huge.”
The second issue is that most difficult of challenges: public perception. Berners-Lee talks about an AI Spring, when the world was full of hope, turning into an AI winter: “The world turned on them and said: ‘You were supposed to give us robots by now, what happened? This sucks’.”
At the same time, the fear is building that AI will take away jobs.
“Suddenly its no longer AI. Now it’s Natural Language Processing, now it’s self-driving cars. But they wont call it AI.”
The three fears of AI
Berners-Lee addresses the fears of AI in “three pieces”:
“Let’s talk about robots replacing jobs. The first take you get on AI: are robots going to take my job or all the jobs of my people? Is an autonomous vehicle going to take my job? Autonomous vehicles are coming. A lot of people, when they arrive somewhere as immigrants, or people between jobs, start out with Uber or a cab company, where driving is one of the things they can do. If that goes away, there is going to be a big shift and we have to be responsible about how we do these things.”
The second big category of AI fears lies in its ability to generate fake news. However, Berners-Lee sees AI as the solution rather than the problem: “AI can be a frontline defence against things which can be proven to be false. There’s no way of really objecting to the decisions of AI.”
The third and most famous category, he says, is the Singularity – when AI surpasses human intelligence.
“Is all this getting out of control? As a kid I read Asimov books, Arthur C Clarke book. Asimov imagined robots would become just as powerful as us and therefore they’d have to be controlled. Ask people who make robots about the problem of robots becoming smarter than you, they say, ‘Do you know how difficult it is to build a robot? You know how long it’s going to take, getting smarter than us?’ Don’t worry about it.”
He mocks the current trend in movies of showing future robots not only as smart, but humanoid, female, beautiful, blonde and blue-eyed, with female voices.
“By the time they are smarter than us, they won’t look like us. A lot of the intelligence already out there is sitting in the cloud, it doesn’t have blue eyes, but it does play a part in our society.
“The funny thing is, we’re worrying about robots, but we’re not worrying about the companies that program them. People are not good at stopping bad things.”
In short, he says real people, rather than artificial intelligence, are the bigger threat.
Low-cost wireless sport earphones get a kickstart
Wireless earphone brands are common, but not crowdfunded brands. BRYAN TURNER takes the K Sport Wireless for a run.
As wireless technology becomes better, Bluetooth earphones have become popular in the consumer market. KuaiFit aspires to make them even more accessible to more people through a cheaper, quality product, by selling the K Sport Wireless Earphones directly from its Kickstarter page
KuaiFit has an app by the same name which offers voice-guided personal training services in almost every type of exercise, from cardio to weight-lifting. A vast range of connectivity to third-party sensors is available, like heart rate sensors and GPS devices, which work well with guided coaching.
The app starts off with selecting a fitness level: beginner, intermediate and advanced. Thereafter, one has the ability to connect with real personal trainers via a subscription to its paid service. The subscription comes free for 6 months with the earphones, and R30 per month thereafter.
The box includes a manual, a USB to two USB Type B connectors, different sized soft plastic eartips and the two earphone units. Each earphone is wireless and connects to the other independently of wires. This puts the K Sport Wireless in the realm of the Apple Earpods in terms of connection style.
The earphones are just over 2cm wide and 2cm high. The set is black with a light blue KuaiFit logo on the earphone’s button.
The button functions as an on/off switch when long-pressed and a play/pause button when quick-pressed. The dual-button set-up is convenient in everyday use, allowing for playback control depending on which hand is free. Two connectivity modes are available, single earphone mode or dual earphone mode. The dual earphone mode intelligently connects the second earphone and syncs stereo audio a few seconds after powering on.
In terms of connectivity, the earphones are Bluetooth 4.1 with a massive 10-meter range, provided there are no obstacles between the device and the earphones. While it’s not Bluetooth 5, it still falls into the Bluetooth Low Energy connection category, meaning that the smartphone’s battery won’t be drastically affected by a consistent connection to the earphones. The batteries within the earphones aren’t specifically listed but last anywhere between 3 and 6 hours, depending on the mode.
Audio quality is surprisingly good for earphones at this price point. The headset style is restricted to in-ear due to its small design and probable usage in movement-intensive activities. As a result, one has to be very careful how one puts these earphones, in because bass has the potential of getting reduced from an incorrect in-ear placement. In-ear earphones are usually notorious for ear discomfort and suction pain after extended usage. These earphones are one of the very few in this price range that are comfortable and don’t cause discomfort. The good quality of the soft plastic ear tip is definitely a factor in the high level of comfort of the in-ear earphone experience.
Overall, the K Sport Wireless earphones are great considering the sound quality and the low price: US$30 on Kickstarter.
Find them on Kickstarter here.
Taxify enters Google Maps
A recent update to Taxify now uses Google Maps which allows users to identify their drivers, find public transport and search for billing options.
People planning their travel routes using Google Maps will now see a Taxify icon in the app, in addition to the familiar car, public transport, walking and billing options.
Taxify started operating in South Africa in 2016 and as of October 2018 operates in seven South African cities – Johannesburg, Ekurhuleni, Tshwane, Cape Town, Durban, Port Elizabeth and Polokwane.
Once riders have searched for their destination and asked the app for directions, Google Maps shares the proximity of cars on the Taxify platform, as well as an estimated fare for the trip.
If users see that taking the Taxify option is their best bet, they can simply tap on the ‘Open app’ icon, to complete the process of booking the ride. Customers without the app on their device will be prompted to install Taxify first.
This integration makes it possible for users to evaluate which of the private, public or e-hailing modes of transport are most time-efficient and cost-effective.
“This integration with Google Maps makes it so much easier for users to choose the best way to move around their city,” says Gareth Taylor, Taxify’s country manager for South Africa. “They’ll have quick comparisons between estimated arrival times for the different modes of transport, as well as fares they can expect to pay, which will help save both time and money,” he added.
Taxify rides in Google Maps are rolling out globally today and will be available in more than 15 countries, with South Africa being one of the first countries to benefit from this convenient service.