Luis Von Ahn
๐ค SpeakerAppearances Over Time
Podcast Appearances
Nowadays, computers are about as good as humans at reading historic characters, which is why CAPTCHAs have moved onto basically really blurry images of bicycles or whatever.
Nowadays, computers are about as good as humans at reading historic characters, which is why CAPTCHAs have moved onto basically really blurry images of bicycles or whatever.
Well, so, okay, a couple of things. This is not new. Translation by computers between, for example, English and Spanish or English and German, like between the large languages, has been really good, you know, starting with Google Translate for about 10 years. Mm-hmm. And it keeps getting better and better and better.
Well, so, okay, a couple of things. This is not new. Translation by computers between, for example, English and Spanish or English and German, like between the large languages, has been really good, you know, starting with Google Translate for about 10 years. Mm-hmm. And it keeps getting better and better and better.
Well, so, okay, a couple of things. This is not new. Translation by computers between, for example, English and Spanish or English and German, like between the large languages, has been really good, you know, starting with Google Translate for about 10 years. Mm-hmm. And it keeps getting better and better and better.
And, you know, what I don't think is going to happen is one day suddenly, you know, translation was completely ****. And then the next day is perfect. And then all translators get fired. This is a gradual process, which started out years and years ago. And today, a lot of translation is already done by computers. I mean, that's already happening.
And, you know, what I don't think is going to happen is one day suddenly, you know, translation was completely ****. And then the next day is perfect. And then all translators get fired. This is a gradual process, which started out years and years ago. And today, a lot of translation is already done by computers. I mean, that's already happening.
And, you know, what I don't think is going to happen is one day suddenly, you know, translation was completely ****. And then the next day is perfect. And then all translators get fired. This is a gradual process, which started out years and years ago. And today, a lot of translation is already done by computers. I mean, that's already happening.
Now, at the same time, I think there's also more and more demand for translation. Because translation is a lot cheaper, a lot faster because computers are there, there's a lot more demand. So what you're seeing today, at least for translation in particular, is this combo, this hybrid between humans and computers.
Now, at the same time, I think there's also more and more demand for translation. Because translation is a lot cheaper, a lot faster because computers are there, there's a lot more demand. So what you're seeing today, at least for translation in particular, is this combo, this hybrid between humans and computers.
Now, at the same time, I think there's also more and more demand for translation. Because translation is a lot cheaper, a lot faster because computers are there, there's a lot more demand. So what you're seeing today, at least for translation in particular, is this combo, this hybrid between humans and computers.
I mean, maybe the computer takes the first pass and then a human kind of fixes it up a little bit, et cetera. And over time, it is probably the case that computers will be as good as humans at language translation, maybe even better because they're faster. We're not quite there yet. It's still the case that computers make some mistakes.
I mean, maybe the computer takes the first pass and then a human kind of fixes it up a little bit, et cetera. And over time, it is probably the case that computers will be as good as humans at language translation, maybe even better because they're faster. We're not quite there yet. It's still the case that computers make some mistakes.
I mean, maybe the computer takes the first pass and then a human kind of fixes it up a little bit, et cetera. And over time, it is probably the case that computers will be as good as humans at language translation, maybe even better because they're faster. We're not quite there yet. It's still the case that computers make some mistakes.
And I think companies are hiring humans or governments are hiring humans. When you want somebody to actually have a real opinion, because it may be a life or death situation, for example. I don't think you want to fully rely on a computer if you're a translator for the army or something like that. And you're talking to an enemy combatant. I don't think you want to fully do that yet.
And I think companies are hiring humans or governments are hiring humans. When you want somebody to actually have a real opinion, because it may be a life or death situation, for example. I don't think you want to fully rely on a computer if you're a translator for the army or something like that. And you're talking to an enemy combatant. I don't think you want to fully do that yet.
And I think companies are hiring humans or governments are hiring humans. When you want somebody to actually have a real opinion, because it may be a life or death situation, for example. I don't think you want to fully rely on a computer if you're a translator for the army or something like that. And you're talking to an enemy combatant. I don't think you want to fully do that yet.
or companies who just want to make sure that no mistakes are made. But even translators that are hired, most of them use computer translation as a first step. And I think you're going to see something like that.
or companies who just want to make sure that no mistakes are made. But even translators that are hired, most of them use computer translation as a first step. And I think you're going to see something like that.
or companies who just want to make sure that no mistakes are made. But even translators that are hired, most of them use computer translation as a first step. And I think you're going to see something like that.