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Data Center News > Blog > AI > Elon Musk and Yann LeCun’s social media feud highlights key differences in approach to AI research and hype
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Elon Musk and Yann LeCun’s social media feud highlights key differences in approach to AI research and hype

Last updated: May 29, 2024 5:31 am
Published May 29, 2024
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Elon Musk and Yann LeCun's social media feud highlights key differences in approach to AI research and hype
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Over the Memorial Day weekend, whereas most People have been firing up their grills and having fun with a chilly one, Yann LeCun, Meta’s chief AI scientist, and Elon Musk, the enigmatic CEO of Tesla and xAI, have been engaged in a no-holds-barred digital dustup on X.com (previously Twitter). This conflict of the AI titans uncovered among the key fault strains within the fast-moving, hype-fueled discipline of synthetic intelligence.

The web feud ignited on Sunday, Might twenty sixth when LeCun threw shade at Musk, who was selling job openings at his new AI startup xAI. LeCun’s tweet was a masterclass in snark: “Be part of xAI in the event you can stand a boss who: claims that what you might be engaged on shall be solved subsequent yr (no stress), claims that what you might be engaged on will kill everybody and should be stopped or paused (yay, trip for six months!), claims to desire a ‘maximally rigorous pursuit of the reality’ however spews crazy-ass conspiracy theories on his personal social platform.”

Be part of xAI in the event you can stand a boss who:
– claims that what you might be engaged on shall be solved subsequent yr (no stress).
– claims that what you might be engaged on will kill everybody and should be stopped or paused (yay, trip for six months!).
– claims to desire a “maximally rigorous pursuit…

— Yann LeCun (@ylecun) May 27, 2024

Musk, by no means one to again down from a combat, got here out swinging. “What ‘science’ have you ever carried out up to now 5 years?” he posted, questioning LeCun’s current contributions to the sphere. LeCun wasn’t about to let that one go: “Over 80 technical papers revealed since January 2022. What about you?”

See also  AI winter: A cycle of hype, disappointment, and recovery

What “science” have you ever carried out up to now 5 years?

— Elon Musk (@elonmusk) May 27, 2024

The godfather of convolutional neural networks vs. The self-proclaimed savior of humanity

LeCun, 63, is a bonafide AI legend, one of many pioneers of deep studying, the groundbreaking approach that now powers all the things from chatbots to self-driving vehicles. Again in 1989, as a researcher at Bell Labs, he co-authored a paper that launched convolutional neural networks, a elementary structure of deep studying. “Each single driving help system at present makes use of ConvNets,” LeCun posted, and he’s not improper.

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Musk, 52, has had a extra tumultuous relationship with the AI analysis group, regardless of his corporations’ heavy reliance on the expertise. His startup xAI has the lofty objective of constructing synthetic basic intelligence, or human-level AI—an ambition that many specialists contemplate to be leaping the gun. In the meantime, Tesla’s self-driving expertise, which Musk has repeatedly hyped as being on the cusp of full autonomy, depends closely on deep studying methods that have been initially developed in tutorial labs like LeCun’s.

The Significance of Sharing Scientific Information within the Age of Company Secrecy

“Technological marvels don’t simply come out of the vacuum,” LeCun posted. “They’re constructed on years (typically many years) of scientific analysis that makes them potential. Analysis concepts and outcomes are shared via technical papers. With out this sharing of scientific data, technological progress would sluggish to a crawl.”

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To those that say ‘these are *simply* papers’:
Considered one of these papers launched convolutional neural networks (ConvNets) in 1989.
Each single driving help system at present makes use of ConvNets.
That features MobilEye (since 2014), Nvidia, Tesla, and nearly everybody else.…

— Yann LeCun (@ylecun) May 28, 2024

Musk, in true Muskian vogue, dismissed the significance of scientific publishing, claiming that Tesla doesn’t use convolutional neural networks a lot anymore in its self-driving stack. LeCun wasn’t shopping for it: “Curious to know the way you may presumably do real-time digicam picture understanding in [Full Self-Driving] with out ConvNets, TBH.”

Curious to know the way you may presumably do real-time digicam picture understanding in FSD with out ConvNets, TBH.

— Yann LeCun (@ylecun) May 28, 2024

In an period the place company secrecy round AI growth is changing into the norm, exemplified by the tight-lipped labs of OpenAI and Google DeepMind, many specialists nonetheless contemplate well timed and clear scientific publication to be important to the long-term well being of the sphere. Clem Delangue, co-founder of AI startup Hugging Face, summed it up properly: “The scientists who publish their groundbreaking analysis brazenly are the cornerstone of technological progress & massively contribute to creating the world a greater place!”

I might choose @ylecun over @elonmusk each single day of the week. Regardless of getting a lot much less $$, recognition & visibility than entrepreneurs, the scientists who publish their groundbreaking analysis brazenly are the cornerstone of technological progress & massively contribute to…

— clem ? (@ClementDelangue) May 28, 2024

The way forward for AI: A story of two visions

Each Meta and xAI have had eventful years of their quest for AI supremacy. Meta lately launched a big language mannequin known as LLaMA 3 and is integrating similar technologies into its social apps like Instagram and WhatsApp, all whereas watching its market value slip away. In the meantime, xAI introduced a whopping $6 billion fundraise as Musk guarantees to construct “synthetic basic intelligence,” although the main points of his grasp plan stay fuzzy at finest.

See also  Amazon doubles Anthropic investment to $8B

LeCun and Musk, two of probably the most influential figures in AI, clearly have divergent visions for the way forward for this transformative expertise. But when this vacation weekend is any indication, the debates that can form that future are more and more taking part in out within the open, one tweet at a time. And we, for one, are right here for it. Cross the popcorn.



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Contents
The godfather of convolutional neural networks vs. The self-proclaimed savior of humanityThe Significance of Sharing Scientific Information within the Age of Company SecrecyThe way forward for AI: A story of two visions
TAGGED: approach, Differences, Elon, feud, Highlights, hype, Key, LeCuns, Media, Musk, Research, Social, Yann
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