103 posts tagged Ai
But Mr Bostrom worries about a more fundamental problem. Once intelligence is sufficiently well understood for a clever machine to be built, that machine may prove able to design a better version of itself. The cleverer it becomes, the quicker it would be able to design further upgrades. That could lead to an “intelligence explosion”, in which a machine arrives at a state where it is as far beyond humans as humans are beyond ants.
For some, that is an attractive prospect, as such godlike machines would be much better able than humans to run human affairs. But Mr Bostrom is not among them. The thought processes of such a machine, he argues, would be as alien to humans as human thought processes are to cockroaches. It is far from obvious that such a machine would have humanity’s best interests at heart — or, indeed, that it would care about humans at all.
Consciousness in AI is a topic which is argued by not only computer and cognitive scientists, but also philosophers. Philosophers like John Searle and Hubert Dreyfus have argued against the idea that a computer can gain consciousness. For an example, arguments like Chinese Room have been…
What makes love so important to us? Why is it so central to our lives? Why do we invest so much of ourselves into its discovery and feel so strongly that our happiness depends on it lasting? Are we fools to embrace the twisted turns of human relations, with their unimaginable unpredictability, which often leaves us feeling angry, resentful, insecure, sad, and alone? Or, is this just the gambit of our existence; our unavoidable human condition, a product of our being social animals, coupling species — a simple consequence of our apparent pursuit of the other half, as Plato would have us believe? What if we could simplify the process and fall in love with a machine instead of a person? Would we be happier if we found somebody who was designed just for our unique personality and who would align with our ideal version of ourselves? After all, how often in love do we say ‘he is the one for me’ or that ‘we are soul mates’? Too often for it to be credible, perhaps, but often enough to know that it matters that we mean it. In love, more than any other form of human connection, we long to find someone who truly gets us, so why not create someone who does precisely that? Not an automaton; that would be silly, but an evolved being, someone or something with higher intelligence, who knew how best to challenge us, love us, understand us and, through this intimate knowledge, help us grow, help us become the people we want to be, someone who will help us find happiness. The movie Her invites us to consider this prospect. It introduces us to the protagonist Theodore (Joaquin Phoenix), whose melancholic disposition encouraging us to empathize with his romantic, idealised view of relationships, and the genuine sadness he feels at his marriage ending. He is unable to move on, to believe in love again, to accept that true love can end.
An intelligent robot equipped with emotion might feel sad at its lack of progress, and eventually give up and do something else. (via Artificial Emotions - Issue 1: What Makes You So Special - Nautilus)
If a robot read a novel, how would it feel? You might get a sense from these little jingles. Below are some songs that were automatically created by a series of algorithms that turn the emotions in novels into short pieces of music. If the songs remind you, traumatically, of your untalented little sister practicing piano… well, you can’t say I didn’t warn you. Actually, the origins of the songs are pretty cool, as the Physics arXiv Blog reports. They start with sentiment analysis, a field in computer science that got hot not long after Twitter did. As more and more people started tweeting, computer scientists and companies wanted to automatically process those tweets, to figure out what emotions people were expressing in them. For example, do people feel negatively or positively about… snack cakes? How do people feel about a specific brand, say, Little Debbie? You can see the commercial interest in this. The same techniques computer scientists use to analyze Twitter are also able read the feels in any text. So now it’s possible to automatically read the emotions in novels, too. To make the songs below, two researchers—one of them a programmer and a musician—went one step beyond that. After running novels through a sentiment-analysis algorithm, they created an algorithm that would express those sentiments through music.
Venture Capital Firm Appoints Machine Intelligence As Board Member
Hong Kong based venture capital firm Deep Knowledge Ventures (DKV) has appointed a machine learning program to its board. Called VITAL, it’s an “equal member” that will uncover trends “not immediately obvious to humans” in order to make investment recommendations. This is probably an attempt to attract media attention, but it could truly be the start of a larger trend; it’s the world’s first software program to be appointed as a board member. The move could also herald a new direction in the way venture capital is done. The tool was developed by Aging Analytics UK who’s licensing it out to DKV, a capital fund that focuses on companies developing therapies for age-related diseases and regenerative medicine. DKV will use VITAL (Validating Investment Tool for Advancing Life Sciences) to analyze financing trends in databases of life science companies in an effort to predict successful investments. It works by poring over massive data sets and applying machine learning to predict which life science companies will make successful investments. The company has already used VITAL to inform investment decisions in two start-up life science companies, Pathway Pharmaceuticals, Limited in Hong Kong and InSilico Medicine, Inc in Baltimore, USA. The long-term goal is to get the intelligence to the stage where it’ll be capable of autonomously allocating an investment portfolio. Eventually, the software is expected to get an equal vote on investment decisions. (via Venture Capital Firm Appoints Machine Intelligence As Board Member)