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