Civil servants account for slightly more than 6% of the labor force.
This excludes the vast majority of state-owned enterprise employees.
"How should we evaluate the serious problem of redundant officials in the Song Dynasty? At this time, the neighboring Dali Kingdom immediately laid off 90% of its officials after changing its king. Could this matter provide some lessons for the Song Dynasty?"
Questions that use the past to illustrate the present have been around on Zhihu for a long time.
Problems like this can survive a long time when they're not popular, but disappear in an instant once they become popular.
This is also not good news for other countries.
Because the artificial intelligence used in Singapore is already capable of completely replacing low-end human jobs.
Jobs such as customer service, telesales, and pre-sales managers—that don't require face-to-face interaction and rely on communication methods—can all be eliminated.
The majority of them had already been wiped out by the artificial intelligence developed by Earth itself, and now the remaining parts can also become part of the long river of history.
At the same time, low-end and even all service-oriented jobs, such as government civil servants, may also disappear.
Artificial intelligence has performed so well in this field, but what about in other areas?
How much potential can the technology behind an AI that clearly passes the Turing test and far surpasses the basic work abilities of ordinary people unleash?
This is a question that everyone working in the artificial intelligence industry is curious about.
On Quora, the question about AI for Singapore's government services is currently the most popular question in the computer section.
What is the level of service-oriented artificial intelligence in Singapore, and what specific technological principles underlie it?
"Merlin's recent use of artificial intelligence technology in Singapore can easily pass not only the earliest Turing test definition, but also the latest enhanced Turing test."
At the same time, in the field of speech recognition, no matter which language I use to communicate with it, it can perfectly understand what I mean.
I am a computer science PhD student at the National University of Singapore. I speak Mandarin, English and Cantonese.
At the same time, I have classmates from all over the world, some of whom speak French, German, Spanish, and so on.
We chatted with the AI directly online, and language posed no obstacle for it.
If Amazon's Alexa, Apple's Siri, or Microsoft's AI had a voice recognition capability of 10 ten years ago, and their current voice recognition capability is 15...
Singapore's artificial intelligence is at least 100% good, especially in speech recognition.
Traditional speech recognition primarily involves converting analog audio into digital signals.
For a computer to decipher a signal, it must have a digital database or vocabulary of words or syllables.
Then these data are quickly compared with the signal.
We typically store voice patterns on a hard drive and load them into memory when the program runs.
Then, the stored modes are checked by comparing them with the output of the A/D converter using a comparator.
Therefore, speech recognition is related to both hardware and software.
Although artificial intelligence technology has been applied to speech recognition in the last fifteen years, the underlying logic remains unchanged.
At most, it uses your usage history and voice commands to adjust and simulate the corresponding database.
I strongly suspect that the underlying logic of artificial intelligence in Singapore is different from that of traditional speech recognition on Earth.
As for the specific underlying logic, if I knew it, I would have to be my supervisor's supervisor, and he would be my doctoral student.
Because artificial intelligence in Singapore involves the city's six million permanent residents.
Artificial intelligence has just been launched, and people are at the peak of their curiosity about it.
Despite such a massive concurrent load, I haven't seen a single report of it malfunctioning in the local Singaporean community.
It's worth noting that Apple's Siri can be used even when you're offline because it's software embedded in the Apple system.
It uses the underlying principle I just mentioned above.
In fact, it cannot recognize slightly more complex problems.
It can only recognize fixed patterns of demand and standardized spoken language.
Unlike the artificial intelligence in Singapore, it identified at least a million questions in a single day.
More importantly, not a single mistake was made, which is astonishing.
A failure rate of 0% and a failure rate of 0.01% are completely different concepts.
The voice recognition technology alone is worth at least hundreds of billions of US dollars.
(The market size of speech recognition in 2021 was 10.7 billion yuan.)
Because voice recognition can be used in all fields, including mobile phones, home appliances, and automobiles.
Can you imagine a navigation system that can perfectly recognize your requirements? You say what you want to eat, and it can help you find the most suitable place.
Dig deeper and embed some advertising algorithms into it. For example, if you want to eat a hamburger, then suggest your taste preferences.
The navigation system automatically takes you to a burger joint that you've paid for.
You cannot shift the blame to AI companies or AI itself.
Of course, I believe Merlin's artificial intelligence will not be used in this regard.
However, if other internet companies thoroughly understand the underlying logic of Merlin's artificial intelligence, I think it won't be long before they do the same.
The CEO of Ubel hailed translation as the holy grail of artificial intelligence.
This view is shared by many leading figures in the field of artificial intelligence.
Why?
The Old Testament of the Bible mentions an event where people initially used the same language to try to build the Tower of Babel to reach heaven. God destroyed the Tower of Babel and then allowed different civilizations to use different languages.
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