RESEARCH

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Bridging Theory and Practice: Accelerating Real-World AI Solutions

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@whats_ai

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06 November 2023 14h05

• The need to implement theoretical knowledge in real-world applications with immediate impact • A wish to see ideas transform into tangible solutions more rapidly

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Why I Quit My PhD in Artificial Intelligence

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@whats_ai

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06 November 2023 14h05

Good morning fellow AI enthusiast! This week's iteration focuses on my PhD in AI… or rather, why I finally decided to stop it. This is a very important video and decision for me, and it was a challenging one to take. I hope you find the video helpful for your future decisions.

→ View original post on X — @mustafasuleyman

AI Tool Predicts Viral Mutations to Combat Pandemics

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@mustafasuleyman

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06 November 2023 12h59

Good news! New AI tool predicts viral mutations before they happen, helping us stay ahead of pandemics.
This could help us design more effective vaccines and therapies early on in a pandemic.

Open-source LLMs surge: Can AI R&D regulation work?

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06 November 2023 6h21

High-performance open-source LLMs popping up around the world.
Does anyone believe regulating AI R&D can be effective?
(Assuming it's useful. Which it is not).

→ View original post on X — @kaifulee

China’s Yi-34B Model Challenges US LLM Ecosystem Leadership

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@kaifulee

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06 November 2023 6h08

I must say China is now behind the U.S. in the LLM ecosystem momentum. The underlying vision for me to start @01AI_Yi is to make better AI accessible to more people. We are glad our first moderate-size Yi-34B performs competitively at a global level. More to come soon after

FSD Falls Short of Human Learning Abilities Despite Data Investment

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06 November 2023 6h08

FSD has required enormous amounts of data, years of engineering to take care of corner cases, and the reliability is nowhere near that of a human (though it's clearly useful. I use it).
Clearly, we are very far from the learning abilities of a 17 year old.

How Do Humans Learn World Models?

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06 November 2023 6h03

Exactly.
That's my whole point.
How do humans learn world models?

Joint Embedding Architectures and Non-Contrastive Learning Methods

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06 November 2023 5h30

Well, technically, my first paper on Joint Embedding Architectures (AKA Siamese nets) is from NIPS 1994.
but that paper and many subsequent works use sample-contrastive learning and no predictor.
The JEPA idea trained non sample-contrastive losses (Barlow Twins, VICReg, MCR2) or