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AI-संचालित शिक्षण उपकरण अनलॉक करें
हर वीडियो से तेज़ी से सीखने में मदद करने वाले शक्तिशाली टूल्स तक पहुँचने के लिए साइन अप करें।
How Competition Is Stifling AI Breakthroughs | Llion Jones | TED
सबटाइटल्स (258 खंड)
So, as mentioned,
I'm probably most well-known as one of the transformers authors.
Transformers are, of course, the T in ChatGPT,
and are the architectures that run
most of the state-of-the-art artificial intelligence.
If I think back to that time
when we were working on the transformers,
I remember it as a very organic,
bottom-up kind of project,
where the idea came from talking over lunch
or scribbling randomly on the whiteboards in the office.
And importantly, when we felt like we did actually have a good idea,
we had the freedom to actually spend the time
and go and work on it.
And even more importantly,
we didn't have any pressure that was coming down from management.
No pressure to work on any particular project,
publish a number of papers,
to push a certain number up.
So that's the image I want you to have in your mind, right?
That is the kind of environment
that allowed the transformer to come into existence.
An organic, open-ended
and with a lot of freedom to pursue the ideas
that we thought were interesting and important.
And my deep concern is that right now in the AI industry,
we do not have this kind of environment.
And I want to talk about why not
and what can we do about it.
So the main paradox that I see in artificial intelligence research,
or the industry in general right now,
is that despite the fact
that there's never been so much interest
and resources and money and talent,
this has somehow caused a narrowing of the research that we're doing.
And to me, I think the reason is fairly obvious.
It's because the immense amount of pressure that comes with that, right?
Pressure from investors
that are going to ask for a return on their investment
and pressure that comes from individuals,
because this is such an overcrowded industry right now,
where it is very difficult to stand out.
And the researchers are really feeling this pressure, right?
If you're doing, let's say, standard AI research right now,
you kind of have to assume
that there's maybe three or four other groups
doing something very similar or maybe exactly the same.
So you have to spend the time checking to see if you've been scooped,
to see if someone else has put your idea out there.
And even in academia,
where you would hope you would have more freedom,
there's pressure to publish, right,
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सही जवाब:
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TED
क्विज़
सही जवाब:
वीडियो देखते समय क्विज़ दिखाई देते हैं
याद रखने का तरीका
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