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Daniel Vassallo
Italian devs will soon be programming in reagire.js 😂 https://t.co/5IwMI7quHH
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Offshore
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AK
3D-aware Image Generation using 2D Diffusion Models

abs: https://t.co/HdUWCjUmA4
project page: https://t.co/MZrYW6vWJh https://t.co/SNLyIwHXWF
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Emad
RT @NickADobos: Strongly held belief:

Paying $20/mo for chatGPT4 and playing with it right now

is more important than:
-learning to google in 98
-buying Bitcoin in 08
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Emad
Only two countries globally currently have orgs with the capability to train GPT-4+ models.

The USA and... the UK

🤔
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Aran Komatsuzaki
Self-Refine: Iterative Refinement with Self-Feedback

Presents a novel approach that allows LLMs to iteratively refine outputs and incorporate feedback along multiple dimensions to improve performance on diverse tasks.

proj: https://t.co/GQHZ7keE76
abs: https://t.co/LLkvsQG5Ic https://t.co/htXazX451l
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Yann LeCun
Some folks say "I'm scared of AGI"

Are they scared of flying?
No!
Not because airplanes can't crash.
But because engineers have made airliners very safe.

Why would AI be any different?
Why should AI engineers be more scared of AI than aircraft engineers were scared of flying?
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Yohei
The thread broke, but here's a simple example of how "relevant context" (most relevant tasks from past) can be provided to current task.

Allowing the autonomous agent to continue generating novel ideas and next steps - that wouldn't fit within a context window. https://t.co/v5lC9DxFSV
By task 23 here, you see that the relevant context becomes increasingly relevant.

You can see how this can help this next task produce new unique content on top of this. https://t.co/mlYWbxq1UB
- Yohei
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Tom Morgan
Many actual LOLs https://t.co/6wMsL8Y3YH
Probably the best thing you'll see today.

In 2017, a group of developers hilariously competed for who could create worst volume control interface in the world.

The results 🧵

1/22
- 0xDesigner
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Stephanie 🏹
i am either overwhelmed or bored there is no in between
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Offshore
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Aran Komatsuzaki
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

Presents the largest empirical study of pre-trained visual representations or visual foundation models for Embodied AI

proj: https://t.co/kw3rtsGSE2
abs: https://t.co/9cZHb7rKXA https://t.co/fLdjaigKup
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Stephen Young
RT @ylecun: People should pay considerably more attention to this simple fact. https://t.co/LNCHFIqe4O
@ylecun It’s weird how the people who who are terrified of AGI are rarely the people who actually build AI models - Jay Kess
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Offshore
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Aran Komatsuzaki
∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States

Achieves significantly higher sample quality as well as being able to effectively scale to higher resolutions than the training data while retaining detail.

https://t.co/EgPwv3QtgR https://t.co/uKR5BHwazn
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