Daily AI Papers
Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control

https://t.co/7Dixu7Xtw7

Grounded-decoding is an open-source project. The project aims to solve long-horizon embodiment tasks in a...

🧵 👇 https://t.co/H6Ifkm0Lru
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PELLE.🇰E
RT @wonderfulmbanda: Dream ni kutoka kwa block, selling cute tall handsome babies at an affordable rate. https://t.co/GOsFJJhHzO
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PELLE.🇰E
RT @Y_vonne4: Niko rooftop nashindana na jua kuwaka
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PELLE.🇰E
RT @Tyler_mbaya: Be a better version than your father
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PELLE.🇰E
RT @MistaSkelter: THIS IS THE MAN!HIS ODDS ARE CHEAP,REAL AND LEGIT.I HAVE WON WITH ALL HIS TICKETS SINCE I JOINED HIM TWO MONTHS AGO.GET HIM THROUGH
0757478106
https://t.co/kplYafOyqd

Shameless Donald Trump Jr #azziad LGBTQ Ronnoh Susan Napoli Dortmund Kisumu Sam Smith Damaris Agnetta Southgate https://t.co/wgdduwOZ5S
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PELLE.🇰E
RT @yan_m3i: I never knew that ukimake out na mwanaume for long anablack-out. Na vile nyii hujifanya gangsta.
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PELLE.🇰E
Kwangu hakunanga kiti unakuja unakalia bed kazi inaanza tu teketeke
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Sudharsan ST
RT @TNGeography: India produces 75-80% of the world's Turmeric supply, the largest exporter of Turmeric. #TamilNadu is the 3rd or 4th largest turmeric-producing state. This map shows Tamil Nadu's Turmeric(மஞ்சள்) belt which produces ~8% of the world's turmeric. Dharmapuri-Erode tops the list 1/3 https://t.co/Cs9bf9crvV
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PELLE.🇰E
Nimeflash mara tatu sai na bado haisongi I think I should change diet
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Robert Scoble
RT @SuperchiefNFT: Beyond hyped to be hosting the largest AI Art show the word has ever seen right now at Superchief LA. We’ll be partying till 10 tn 😎 #maifdeepfake @MAIFMAIFMAIF @ClownVamp https://t.co/LU0yXvcEKD
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Robert Scoble
RT @activrightbrain: It’s a humbling experience when you’re witnessing the rebirth of an historic brand. Say hello to @AustinMotorCo1

[This video shot on @insta360 cameras + combined with @LumaLabsAI 3D #NeRF scanning in FCP]

#Austin #AustinArrow #cars #EV #IoT #design #innovation #motivation #AI https://t.co/QUktV3Q1Hy
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Fei Xia
RT @svlevine: A short🧵about Grounded Decoding
https://t.co/oH57V3AiK3
(by @wenlong_huang et al.)
There is a concept here, building on similar work (e.g., LM-Nav, SayCan, etc.) about how affordances, dynamics, and LMs interact to get grounding. It's a general idea that can be used broadly 👇
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