Robin Li: AI won’t scale back job alternatives and can create extra new jobs

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Robin Li: AI won't scale back job alternatives and can create extra new jobs

On Might 18th, Robin Li, founder, chairman and CEO of Baidu, mentioned on the 2023 Tianjin World Intelligence Convention that synthetic intelligence won’t scale back job alternatives and can carry the following progress miracle of the worldwide financial system.Each technological revolution will make some jobs disappear and create extra new jobs on the identical time.

Robin Li mentioned that previously 100 years, the world’s per capita GDP has doubled by 3.2 occasions, and other people’s work effectivity has been enormously improved.He mentioned, for instance, that the substitute of carriages by vehicles did make the work of coachmen disappear.However right now, the automotive business has turn into one of many largest industrial techniques on this planet, creating tons of of hundreds of thousands of jobs.In China alone, 3 million persons are engaged in automobile-related jobs.

Robin Li mentioned: “I’m not frightened that the large mannequin will make jobs disappear. I believe there will likely be extra jobs sooner or later.”(One orange)

Robin Li: AI won't scale back job alternatives and can create extra new jobs

The next is a transcript of Robin Li’s speech:

Expensive leaders and visitors: The subject I carry to you right now known as “Huge Fashions Change Synthetic Intelligence”.Gong Ke additionally mentioned simply now that synthetic intelligence has acquired much more consideration previously six months than earlier than, a very powerful factor is due to the emergence of generative synthetic intelligence.The underlying know-how of generative synthetic intelligence is definitely a big mannequin.

So why does the large mannequin change synthetic intelligence?It’s massive computing energy, massive fashions, and massive information which have led to the emergence of intelligence. What’s the emergence of intelligence?Prior to now, synthetic intelligence was that I’d educate the machine no matter expertise I needed it to study.Those that have been taught could, however those that haven’t been taught won’t.After the emergence of the so-called intelligence within the massive mannequin, it should even have expertise that haven’t been taught earlier than.Because of this some individuals say that we are actually creating within the path of basic synthetic intelligence.

On the identical time, the event path of synthetic intelligence has shifted from discriminating to generative.What’s discrimination?The appliance of synthetic intelligence that we had been extra conversant in previously is principally discernible.For instance, face recognition, come over to an individual, and I acknowledge who this individual is or isn’t.It is a typical distinguishing method.Search engines like google and yahoo are additionally typical discriminating synthetic intelligence.The person enters a key phrase or a passage, and what he’s in search of, we match it on the entire community, which web page and which piece of content material he wants, that is discriminating synthetic intelligence.

What’s generative synthetic intelligence?At the moment I wish to write an software kind, you may write it to me.Or, my weekend deal with, 10 individuals, must give you a menu, this doesn’t matter proper or mistaken, however it can provide you some emotions, offer you some creativity, and offer you a very good basis to develop your concepts.Or, draw me an image of a busy visitors.This type of factor, individuals did not assume it was one thing synthetic intelligence ought to do previously, however now it may be executed.

So what’s going to this result in?Consequently, individuals’s work effectivity has been enormously improved.For instance, in content material creation, customer support, and translation, its effectivity will likely be enormously improved.So we have now additionally seen that many analysis establishments consider that within the subsequent 10 years, the effectivity of many roles will enhance exponentially.On the identical time, it additionally brings some worries. Is this sort of effectivity enchancment going to make many individuals lose their jobs?After these individuals lose their jobs, will they convey unpredictable issues to us people?

The truth is, I’ve talked about this for a very long time. One of the simplest ways to search out out the reply is definitely to look again.As a result of many individuals additionally really feel that synthetic intelligence is an indication of the fourth industrial revolution, we are able to have a look at what jobs have been changed by the earlier industrial revolution?

200 years in the past, the work of backing water from underground principally disappeared.The primary industrial revolution was the invention of the steam engine. The primary software of the steam engine was mining water. How may or not it’s introduced up by machine.What has been led to by the disappearance of those jobs in underground backwater?Let’s have a look, in actual fact, plenty of new work has been produced.

Prior to now 100 years, we have now seen speedy progress on this planet’s inhabitants, which is far sooner than the inhabitants progress price of the earlier one or two thousand years.On the identical time, GDP per capita is rising nearly on the identical speedy price.What does this imply?It exhibits that though some job alternatives are gone, extra alternatives have emerged.The advance of individuals’s work effectivity can feed extra individuals, and everybody’s life has turn into higher than earlier than.The job of backing water from the underground is actually not a very good job.

100 years in the past, the job of coachman disappeared.This image is an image of Fifth Avenue in New York in 1913. Nearly the entire vehicles on this image are vehicles, with just one carriage.At the moment, horse meat was bought all over the place in New York, and horses had been ineffective. Later, many new jobs appeared.Within the almost 90 years from 1900 to 1990, the world’s inhabitants continued to develop quickly by the identical legislation, and the worth created by everybody continued to develop quickly.

30 years in the past, our technology skilled firsthand, that’s, earlier than and after I graduated from school, what jobs disappeared?The typist’s job disappeared.The youthful technology has by no means seen a typewriter, however there are additionally many new jobs.By the identical rule, the world’s inhabitants continues to develop quickly, and per capita GDP continues to develop quickly.

Though historical past won’t be repeated, it does have its guidelines.So this time, why are so many individuals frightened that AI will scale back job alternatives?I believe it is as a result of everybody can see that the present jobs will disappear, however we will not see that any new job alternatives will likely be created.Similar to these individuals 100 years in the past and 200 years in the past, they could not see the brand new job alternatives that emerged later.I personally belong to the optimists. I’m not frightened that the large mannequin will result in diminished human job alternatives and worse life.

How does such an enormous mannequin redefine synthetic intelligence?Chairman Wan Gang additionally mentioned simply now that the best way of human-computer interplay has modified.The truth is, with the event of the knowledge business previously few many years, the best way of human-computer interplay has undergone three adjustments.

We can’t discuss it earlier. The command line was the primary work interface once I was a graduate scholar in school.Human-computer interplay is thru the command line.I enter a command and it offers me the response I would like.I assumed this factor was very environment friendly on the time, however most individuals do not know methods to do it.

What’s a less complicated method of human-computer interplay?Is a graphical person interface (GUI).No less than many individuals can perceive this, and it’s extra pleasant than the primary one.However it’s nonetheless not essentially the most pure solution to work together.If I wish to work out methods to reset the pc’s computerized sleep time, I’ve to undergo the four-level menu and go in layer by layer to search out this location.How many individuals can keep in mind the four-level menu, the place is every operate?

The start of synthetic intelligence permits us to work together with computer systems in pure language.When I’ve demand, for instance, I wish to examine final month, April 2023, for every product line of my firm, which merchandise have a gross revenue margin that exceeds the pre-epidemic stage?Such a subject, previously, it in all probability took my assistant half a day to get it.At the moment, if the pc understands your pure language, it can provide you a kind inside a second.

The large mannequin will even redefine advertising and customer support.The truth is, the reality may be very easy, that’s, whoever has one of the best ways to speak with prospects may have this buyer.This fact isn’t due to the emergence of AI, not due to the emergence of huge fashions, however know-how has made us understand much more prospects than earlier than.At the moment, even you probably have 7 billion prospects, every of your prospects can have a devoted 7×24-hour assistant who is aware of every little thing to serve him.

The large mannequin is a basis, and there will likely be varied purposes of synthetic intelligence on prime of the large mannequin.What has been hotly mentioned just lately is, what does a local software within the AI period seem like?Let me offer you a couple of examples:

For instance, like DoNotPay, what is that this?A extra typical software situation is synthetic intelligence attorneys.For instance, should you drive for rushing in america, the police gives you a ticket after rushing, and also you normally pay a couple of hundred yuan.The truth is, you can’t pay it. Should you ask a lawyer that will help you file a lawsuit, you can’t pay it.However the cash for hiring a lawyer could also be twice the cash for the ticket, so you will not rent it.Should you ask AI to be a lawyer right now, you can’t pay that cash.

Jasper is a instrument for producing advertising concepts. What sort of concepts your organization needs to supply, it should assist you produce them, so it’s way more environment friendly.

Converse is a Korean software program software that really teaches you to study a international language. It simulates varied situations. You must go to a restaurant to order a meal, negotiate with the opposite occasion, and the way you wish to work together with the opposite occasion. You are able to do very effectively in tons of of languages.

For Baidu, our massive mannequin known as Wenxin Yiyan. It was launched two months in the past. It must be mentioned that it was the primary to be launched among the many world’s main producers.The rationale why we wish to launch it as quickly as attainable is as a result of there’s a very sturdy demand available in the market.At current, there are greater than 2 million customers ready in line for testing, and there are additionally greater than 100,000 corporations that wish to entry Wenxin for testing.

In fact, Baidu’s funding on this space is definitely not just the start, it has not solely began previously six months.We’ve got launched the 1.0 of the Wenxin Huge Mannequin in 2019, and it has been 4 years since now.Earlier, we began to spend money on synthetic intelligence round 2013.

The rationale why synthetic intelligence has modified a lot isn’t solely the change of its software situations, however truly the know-how stack behind it has additionally undergone very elementary adjustments.

The IT know-how stack that everybody of us is conversant in is these three layers. The underside layer is the chip layer. Typical corporations are Intel, AMD, and Qualcomm. Its chip known as CPU; the center layer is the working system, which is Home windows within the PC period, and Android and iOS within the cell phone period. Above is the appliance layer. Within the PC period, everybody develops software program for Home windows, and within the cellular period, everybody develops purposes for Android and iOS.

The arrival of the period of synthetic intelligence right now has modified this sample.The present IT know-how stack has turn into 4 layers, and the underside layer remains to be the chip layer, however the primary chip is not the CPU, however the GPU because the consultant, a brand new technology of chips appropriate for parallel large-scale floating-point operations.The above we name the framework layer, which is the framework for deep studying, like Baidu’s PaddlePaddle, Meta’s PyTorch, and Google’s TensorFlow are all at this stage.The higher layer is the mannequin layer. At the moment’s ChatGPT, Wenxin Yiyan, and so on. Belong to the mannequin layer. Sooner or later, native purposes within the AI period will likely be developed based mostly on giant fashions.

Baidu has a comparatively apparent benefit on this regard. We’ve got comparatively main merchandise in every of the 4 layers, for instance, the chip layer has Kunlun core.This has additionally been executed for ten years. On the earliest, due to the necessity for search purposes, we purchased different individuals’s chips. In any case, it was too costly, so we developed it ourselves.The body layer is Feiyu, and Feiyu has the primary market share in China right now.On the mannequin stage is the Wenxin massive mannequin. The truth is, along with Wenxin’s phrases, it’s benchmarking ChatGPT. We even have many business massive fashions, akin to transportation massive fashions, vitality massive fashions, and so on.On the software layer, akin to Baidu Search, and so on. are our main purposes.

These 4 layers all have comparatively main merchandise or applied sciences. What are the advantages?That’s, you may optimize end-to-end, and every layer can provide suggestions to different layers. Based mostly on these suggestions, you may comprehensively and co-ordinate methods to optimize.

Baidu’s format on the chip stage is Kunlun Core. We have already got two generations of merchandise and tens of 1000’s of items are deployed, each inside and outdoors the corporate.The third technology of Kunlun Core will likely be out there early subsequent yr.

On the framework stage, Feidao’s framework has greater than 5 million builders within the area of synthetic intelligence in China, and it has turn into increasingly more acknowledged by everybody.

The mannequin layer simply mentioned a phrase about Wenxin, and it has many purposes in varied utilization situations.Sooner or later, I consider that extra purposes will likely be developed based mostly on the Wenxin massive mannequin.

What everyone seems to be extra conversant in within the software layer is Baidu’s search. It’s unimaginable for Baidu to do every little thing within the software layer. Along with looking, we have now additionally executed traffic-related purposes.Site visitors can be very difficult and impacts a really wide selection of instructions.

Baidu truly does two essential issues, one is autonomous driving, or driverless know-how, and the opposite is clever transportation.We’ve got been driverless for ten years, and now we are able to perform industrial unmanned operations in Wuhan and Chongqing.We’ve got been doing clever transportation for a number of years, and we have now proved the impact in lots of cities. By intelligently adjusting the time when the visitors lights change to lights, the visitors effectivity of our cities will be considerably improved by 15% to 30%.On the final working day earlier than the Might 1st lengthy vacation, many individuals additionally seen that Beijing is in an enormous visitors jam. From the Second Ring Highway to the Fifth Ring Highway, and even the Sixth Ring Highway are all crimson. The one inexperienced one is Yizhuang. Yizhuang has an clever transportation synthetic intelligence system that may dynamically modify visitors stream, so effectivity has certainly been confirmed to be considerably improved.

We’re additionally trying ahead to the long run. On prime of the big mannequin, there will likely be varied purposes from all walks of life that may discover good software situations and enormously enhance effectivity.

Lastly, I want to say that for mankind, the best hazard and the best unsustainability should not the uncertainties led to by innovation.Quite the opposite, we cease innovating, we do not invent, we do not create, we do not progress, and we go on in line with inertia. The varied unpredictable dangers that we carry are the most important menace to mankind.Because of this Baidu has continued to spend money on synthetic intelligence for thus a few years, and why we outlined Baidu’s mission a few years in the past as “utilizing know-how to make the complicated world less complicated.”

Thanks!

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