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Did Google’s Duplex AI Demo Just Pass the Turing Test? [Update]
Yesterday, at I/O 2018, Google showed off a new digital assistant capability that’s meant to improve your life by making simple boring phone calls on your behalf.
If you listen to both segments, the male voice booking the restaurant sounds a bit more like a person than the female does, but the gap isn’t large and the female voice is still noticeably better than a typical AI.
The British computer scientist, mathematician, and philosopher Alan Turing devised the Turing test as a means of measuring whether a computer was capable of demonstrating intelligent behavior equivalent to or indistinguishable from that of a human.
This broad formulation allows for the contemplation of many such tests, though the general test case presented in discussion is a conversation between a researcher and a computer in which the computer responds to questions.
The Turing test is not intended to be the final word on whether an AI is intelligent and, given that Turing conceived it in 1950, obviously doesn’t take into consideration later advances or breakthroughs in the field.
Google’s AI won the game Go by defying millennia of basic human instinct
As one of the world’s best and most experienced players of the complex board game Go, it was difficult to surprise him. But halfway through his first match against AlphaGo, the artificially intelligent player developed by Google DeepMind, Lee was already flabbergasted.
Here’s how Go works: Two players take turns placing white or black stones on a 19-by-19 grid that’s drawn with lines over a wooden board. Stones are placed at the intersection of any two lines.
Twenty moves later, AlphaGo had taken three of Lee’s stones in the upper right and occupied about half the area that most human observers had written off as impregnable. Sacrificing three stones turned out to be a key pivot, turning the game in AlphaGo’s favor.
We have certain patterns in our minds when we play, so this is the kind of move we would never think about.” AlphaGo again bucked conventional wisdom in the second game, playing a move that even neophyte players know to avoid.
The fourth line from each edge of the board is known as “the line of influence,” and it’s so important to the game that most boards mark it with dots.
“Lee Sedol played in a normal way, but AlphaGo answered in an unusual way.” AlphaGo found itself in a weak position after a robust response from Lee on move 13.
Lee responded with a stout defense, shutting AlphaGo out. Even as the battle intensified there, with Lee having the upper hand, AlphaGo suddenly switched its focus to an area further down the board that was seemingly unconnected with that skirmish.
“We would not consider this kind of move.” That move, the 32nd of the game reduced Lee’s moyo, or potential territory, from most of the left-hand side of board to just the upper-left corner.
“All the other space is destroyed.” In their fourth game, the only one in which Lee was victorious, he appeared to adopt some of AlphaGo’s strategy by pursuing less expected and riskier maneuvers that proved successful in the end.
But that brief moment of unusual and effective strategizing by Lee demonstrated that the true value of artificial intelligence reaches far beyond the simplistic narrative of man versus machine.
Artificial intelligence: Google's AlphaGo beats Go master Lee Se-dol
A computer program has beaten a master Go player 3-0 in a best-of-five competition, in what is seen as a landmark moment for artificial intelligence.
'AlphaGo played consistently from beginning to the end while Lee, as he is only human, showed some mental vulnerability,' one of Lee's former coaches, Kwon Kap-Yong, told the AFP news agency.
In the first game of the series, AlphaGo triumphed by a very narrow margin - Mr Lee had led for most of the match, but AlphaGo managed to build up a strong lead in its closing stages.
'It played itself, different versions of itself, millions and millions of times and each time got incrementally slightly better - it learns from its mistakes,' he told the BBC before the matches started.
This virtuous circle of constant improvement meant the super computer went into the five-match series stronger than when it beat the European champion late last year.
Even with today's vast computer memories and incredibly fast processors (which have doubled more than eight times since Deep Blue), the ancient game will not yield to brute force.
When Facebook announced earlier this year that their program had beaten a strong Go amateur, jaws dropped in the AI community - and fell to the floor that same day when Google's Deep Mind genius team announced their AlphaGo beat the European champion 5-0.
The rules are simpler than those of chess, but a player typically has a choice of 200 moves, compared with about 20 in chess - there are more possible positions in Go than atoms in the universe, according to DeepMind's team.
Google Promises Its A.I. Will Not Be Used for Weapons
Google has bet its future on artificial intelligence, and company executives believe the technology could have an impact comparable to the development of the internet.
But it has also experienced some of the perils associated with A.I., including YouTube recommendations pushing users to extremist videos or Google Photos image-recognition software categorizing black people as gorillas.
OpenAI, a lab founded by the Tesla chief executive Elon Musk and others, recently released a new charter indicating it could do much the same — even though it was founded on the principle that it would openly share all its research.
- On 14. april 2021
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