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AI race: Can Europe keep up with China and the US?
DW (English)
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9/20/2024
China and the US are leading the world when it comes to artificial intelligence (AI). Where do European countries really stand in the race and will they ever be competitive in the field?
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00:00
This art has been created by artificial intelligence virtually on its own.
00:06
We can use generative AI to create things like text, images or even music.
00:11
The US is a leader in this field, as is China, where this tea is being harvested automatically with the help of AI.
00:22
Europe still lags behind in AI development.
00:25
Can the Europeans catch up in the race for this vital technology?
00:29
In France, startup Noucaille is developing new solutions for logistics companies.
00:36
The big difference between our approach and others that are fashionable right now is we're centered on humans.
00:42
We're not going to use tons of data and simply assume the machine knows better.
00:47
Being human-centered means having a cooperation between man and machine so humans can use the machines to work better.
00:56
France hopes to become a world leader in AI, the country's attracting investors like Microsoft.
01:02
Its CEO Satya Nadella plans to invest 4 billion euros in a new data center there.
01:07
French startups also stand to profit.
01:13
Their startups benefit from a lot of assistance, not just financial but also advice.
01:19
Still, France is far behind the US when it comes to patent registrations and investments in AI data centers.
01:27
The French government should focus more on our internal strengths rather than trying to compete with the Americans or the Chinese.
01:35
To give you a practical example, they should support AI technologies that are different rather than the ones that are the latest fashion.
01:46
Berlin, Germany's political and AI capital.
01:50
Cutting-edge companies like JetBrains have settled here.
01:53
They are searching for new ways to solve large and complex tasks.
01:57
For instance, why read a 50-page document when you could ask questions and get answers about specific aspects?
02:04
Part of the problem is we approach these models like we're speaking to another person that can understand us.
02:10
But really they're just sophisticated algorithms that need specific instructions.
02:14
So changes in, say, the wording or the tone can give us drastically different outputs.
02:20
Up to four pages of text must be entered to get optimal results.
02:24
Prompt engineering is a fairly new field, so experts are hard to come by.
02:29
And the need is great.
02:30
Still, European startups can't afford to offer the high salaries big US firms can.
02:36
In the United States, salary sites indicate that this job is on average earning about $130,000 a year.
02:42
But many people work with prompting, most notably ML engineers.
02:46
And this job requires a deep knowledge of ML models beyond just prompting.
02:50
So ML engineers are earning on average about $175,000.
02:55
Still, the competition for the best minds isn't everything.
02:59
The focus has really been different.
03:02
So in the United States, the top companies that are producing the top models are there.
03:06
But they're really releasing these models in a proprietary fashion, so you have to pay to use them.
03:10
In China and in Europe, by contrast, a lot of the focus has been on open source models.
03:15
So releasing models that are free and anyone can use them.
03:18
So interestingly, some of these open source models are also becoming competitive with those released by the top US AI companies.
03:25
While the US still leads the AI race, many of its firms' multibillion-dollar investments have yet to pay off.
03:32
European companies have set themselves more modest goals, but they're catching up.
03:37
China remains ahead of Europe, though behind the US.
03:41
The battle for AI supremacy is far from over.
03:55
Microsoft Mechanics
03:56
www.microsoft.com
03:58
www.microsoft.com
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