Meta releases V-JEPA, an AI model that learns by predicting missing or masked parts of unlabeled video to develop a conceptual understanding of the world
Meta's AI researchers have released a new model that's trained in a similar way as today's large language models, but instead of learning from words …
Fast Company Mark Sullivan
Related Coverage
- Takeaways: — Today, we're publicly releasing the Video Joint Embedding Predictive Architecture … Meta
- Things Get Strange When AI Starts Training Itself The Atlantic · Matteo Wong
- Meta's V-JEPA Model: A Leap Towards Human-Like AI Learning WinBuzzer · Luke Jones
- Meta's V-JEPA Video Model Learns by Watching Analytics India Magazine · K L Krithika
- Revisiting Feature Prediction for Learning Visual Representations from Video Meta · Adrien Bardes
- Meta's V-JEPA is Yann LeCun's latest foray into the possible future of AI The Decoder · Maximilian Schreiner
Discussion
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@aiatmeta
@aiatmeta
on x
In continuing with our belief in responsible open science, we're releasing V-JEPA under a CC-BY-NC license to enable the research community to learn and build from this work. Get the code 👇 https://github.com/...
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@emostaque
Emad
on x
Make videos with sora, analyse with Gemini 1.5, feed into v-JEPA
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@iscienceluvr
Tanishq Mathew Abraham, Ph.D.
on x
Sora Gemini 1.5 V-JEPA Day's still not even over yet [image]
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@ylecun
Yann LeCun
on x
V-JEPA: a step towards getting machines to understand how the world works by watching. The Joint embedding Predictive Architecture (JEPA) is a non-generative architecture that predicts the representation of a signal from a corrupted or transformed version of that signal. In...
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@patrickjblum
Patrick Blumenthal
on x
wtaf is going on today [image]
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@romechenko
Roman Pshichenko
on x
I know at least one person who is going to read every word of this
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@agishaun
@agishaun
on x
💡AGI pick of the day V-JEPA a world model that understands human world by Meta GPT is known for its lack of understanding of human world, which limits the ability to comprehend complex tasks. Look forward to seeing the new architecture in actions. Applause 👏 to @ylecun and...
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@adrienbardes
Adrien Bardes
on x
Today I am thrilled to announce the project I have been working on for a while, V-JEPA, a vision model solely trained from large-scale video data in a self-supervised way, with a Joint-Embedding Predictive Architecture !
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@andrewcurran_
Andrew Curran
on x
'Today we're releasing V-JEPA, a method for teaching machines to understand and model the physical world by watching videos' ‘We believe that this work is an important milestone on the path to advancing machine intelligence’. https://twitter.com/... [image]
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@aiatmeta
@aiatmeta
on x
Today we're releasing V-JEPA, a method for teaching machines to understand and model the physical world by watching videos. This work is another important step towards @ylecun's outlined vision of AI models that use a learned understanding of the world to plan, reason and... [vid…
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@_akhaliq
@_akhaliq
on x
Meta announces V-JEPA a method for teaching machines to understand and model the physical world by watching videos [video]