Open as in "open source" and "open research".
@ylecun
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Human-Level AI Always 10-20 Years Away
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Nah, that's merely what the overly optimistic young guns, AGI startup fund raisers, and self-deluded technologists.
For most "serious" folks, the correct statement is:
"Human-level AI is always 10-20 years away" -

EfficientSAM: Faster Smaller Version of Segment Anything Model
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EfficientSAM !
You liked SAM (Segment Anything Model)?
You're gonna love EfficientSAM!
A smaller, faster, and almost as good version of SAM. -

SeamlessExpression: AI Speech Translation Preserving Speaker Voice
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SeamlessExpression: Speech-to-speech translation that preserves the voice and expression of the speaker. https://t.co/osKIbTc53R
— Yann LeCun (@ylecun) 6 décembre 2023SeamlessExpression: Speech-to-speech translation that preserves the voice and expression of the speaker.
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IBM and Meta Launch AI Alliance with 50+ Founding Members
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IBM & Meta are launching the AI Alliance to advance *open* & reliable AI.
The list of over 50 founding members from industry, government, and academia include AMD, Anyscale, CERN, Hugging Face, the Linux Foundation, NASA…. -
Achieving Human-Level AI: SSL, World Models, and Planning Approaches
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For the record: I was never a skeptic.
I always said that human level AI was achievable within decades.
I also said it was harder than what most people thought & was not "just around the corner."
I said we weren't going to get to it with RL.
I said SSL, world models, and planning -
Self-Supervised Learning and Sensory Data in AI Research
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The Cake first appeared in my talk at the NYU future of AI Symposium in early 2016.
Here is a video from my 2016 NIPS keynote.
The point was that there is much more knowledge to extract about the world using self-supervised learning from high-bandwidth sensory input such as -
Quantum Computing AI Applications: Skepticism on Five-Year Timeline
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By "not any time soon", I mean "clearly not in the next 5 years", contrary to a number of folks in the AI industry.
Yes, I'm skeptical of quantum computing, particularly when it comes to its application to AI. -
Scientific breakthroughs and open-source leadership in AI history
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Right. And it's a history of scientific breakthroughs, technological innovations, product impact, open-source leadership, institutional stability, and little personal drama.
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Companies positioned to win in AI if execution succeeds
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Several companies will "win" if they don't screw up.