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Home»Technology»Elon Musk and Yann LeCun’s social media feud highlights key differences in approach to AI research and hype
Technology

Elon Musk and Yann LeCun’s social media feud highlights key differences in approach to AI research and hype

May 29, 2024No Comments6 Mins Read
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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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Be a part of us in returning to NYC on June fifth to collaborate with govt leaders in exploring complete strategies for auditing AI fashions concerning bias, efficiency, and moral compliance throughout various organizations. Discover out how one can attend right here.


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 a number of the key fault strains within the fast-moving, hype-fueled subject of synthetic intelligence.

The net feud ignited on Sunday, Could 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 a part of xAI should you can stand a boss who: claims that what you might be engaged on might be solved subsequent yr (no strain), claims that what you might be engaged on will kill everybody and have to 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 a part of xAI should you can stand a boss who:
– claims that what you might be engaged on might be solved subsequent yr (no strain).
– claims that what you might be engaged on will kill everybody and have to 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 struggle, got here out swinging. “What ‘science’ have you ever carried out prior to now 5 years?” he posted, questioning LeCun’s current contributions to the sector. LeCun wasn’t about to let that one go: “Over 80 technical papers printed since January 2022. What about you?”

What “science” have you ever carried out prior 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 method that now powers the whole lot 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 immediately makes use of ConvNets,” LeCun posted, and he’s not fallacious.

VB Occasion

The AI Affect Tour: The AI Audit

Be a part of us as we return to NYC on June fifth to interact with high govt leaders, delving into methods for auditing AI fashions to make sure equity, optimum efficiency, and moral compliance throughout various organizations. Safe your attendance for this unique invite-only occasion.

Request an invitation

Musk, 52, has had a extra tumultuous relationship with the AI analysis group, regardless of his firms’ heavy reliance on the expertise. His startup xAI has the lofty objective of constructing synthetic common intelligence, or human-level AI—an ambition that many consultants think about 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 techniques 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 attainable. Analysis concepts and outcomes are shared by means of technical papers. With out this sharing of scientific data, technological progress would gradual to a crawl.”

To those that say ‘these are *simply* papers’:
One in every of these papers launched convolutional neural networks (ConvNets) in 1989.
Each single driving help system immediately 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 style, 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 would probably do real-time digital camera picture understanding in [Full Self-Driving] with out ConvNets, TBH.”

Curious to know the way you would probably do real-time digital camera 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 consultants nonetheless think about well timed and clear scientific publication to be important to the long-term well being of the sector. 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’d decide @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 just lately launched a big language mannequin known as LLaMA 3 and is integrating comparable applied sciences into its social apps like Instagram and WhatsApp, all whereas watching its market worth slip away. In the meantime, xAI introduced a whopping $6 billion fundraise as Musk guarantees to construct “synthetic common intelligence,” although the main points of his grasp plan stay fuzzy at greatest.

LeCun and Musk, two of essentially 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 may form that future are more and more enjoying out within the open, one tweet at a time. And we, for one, are right here for it. Move the popcorn.



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