One thing we know is that if future AI systems are built on the same blueprint as current Auto-Regressive LLMs, they may become highly knowledgeable but they will still be dumb.
They will still hallucinate, they will still be difficult to control, and they will still merely
RESEARCH
-
Autoregressive LLMs limitations: knowledge without intelligence
By
–
-
GPAI-PMIA Shares Views on Frontier Models at Summit
By
–
@GPAI_PMIA is honoured to be invited share our views on Frontier models. I personally congratulate all participants at the summit for their generosity in sharing with honesty and spirit of collaboration their views on how to ensure the future for an AI for Good
-
Sam Altman’s Moore’s Law for Everything: Economic implications revisited
By
–
Reminds me of @sama
’s 2021 Moore’s Law for Everything post https://
moores.samaltman.com -
CNN History: From Convolutional Networks to Computer Vision
By
–
I started using the phrase Convolutional Network (without the Neural) in the late 90s when "neural" had become taboo in the ML community.
The acronym CNN was originally used by Rama Chellappa and later adopted by the Computer Vision community around 2013.
I never liked this -
Programming Distributed Systems for AI Applications
By
–
"Programming Distributed Systems" by Mae Milano https://
bit.ly/3QtnpdM #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Dream Gaussian and AnimateDiff: 3D Logo Video Generation
By
–
An early experiment with:
— fofr (@fofrAI) 27 octobre 2023
– Replicate logo image to 3d video with Dream Gaussian
– Video used as QR controlnet for animatediff
– Frame interpolated using ST-MFNet pic.twitter.com/2b5fdPVLmsAn early experiment with: – Replicate logo image to 3d video with Dream Gaussian
– used as QR controlnet for animatediff
– Frame interpolated using ST-MFNet -
Government Regulation of Open Foundation Models Discussed
By
–
Should governments regulate open foundation models? This Princeton-Stanford workshop convened experts to discuss principles, practices, and policy. @PrincetonCITP @StanfordCRFM
-
Free Course on Training and Fine-Tuning Available Now
By
–
Don't miss out on this chance – read more at https://
louisbouchard.substack.com/p/free-course-
on-training-and-fine
…. And subscribe to the newsletter to learn more about my AI projects! -
Alyosha Efros’ Pioneering Work in Computer Vision Research
By
–
Check out this article by @QuantaMagazine on Alyosha Efros' pioneering work
-
CREATE AI Act Launches NAIRR for Academic Research Access
By
–
This year, Congress introduced the CREATE AI Act, which will establish NAIRR to provide access to compute and datasets for academics, nonprofit researchers & startups. How academia can capitalize on the opportunities NAIRR brings? Join us on Tues, Oct 31: https://
stanford.io/3tXJmsn