AI companies have been testing and using synthetic data (at least) since we a) realised that labels are expensive in supervised deep learning and b) started seriously looking at AI on sensitive data.
RESEARCH
-
The Illusion of AI’s Existential Risk
By
–
https://
noemamag.com/the-illusion-o
f-ais-existential-risk/
… -
Global Dialogue on Responsible AI Governance and Ethics
By
–
Discover the global dialogue on responsible AI governance. Explore how countries are coming together to address the challenges of transparency, accountability, and ethics in artificial intelligence. Check out this interesting piece: https://
rb.gy/v5xi8 -
AI Leaders Warn About Extinction Risk in Open Letter
By
–
#AI leaders warn about ‘risk of extinction’ in open letter https://
bit.ly/3JsY3IO #ethics #leadership #FutureofWork -
Word and Sentence Embeddings: Building Blocks of Language Models
By
–
Did you know that word and sentence embeddings are the building blocks of most large language models? Learn more about how they work and how they're used to understand human language in this exciting piece by luis_likes_math
-
GANs: Data Sources for Generating Images
By
–
In terms of methodology, they notably use GANs (Generative Adversarial Networks) to generate images. But where does the data come from? (More details on GANs in my YouTube video where we generate a Miss France face.)
-
AI State Overview: History, Compute, Open Source and Safety
By
–
Last month I had the pleasure to deliver a (very abridged) @stateofaireport talk to open @sanalabs AI Summit in Stockholm.
— Nathan Benaich (@nathanbenaich) 19 juillet 2023
I cover some brief AI history, compute, open source, safety, bio, fusion, et al.
The 10 minute talk is now up and I hope you enjoy it! pic.twitter.com/pnx4AOTUirLast month I had the pleasure to deliver a (very abridged) @stateofai talk to open @sanalabs AI Summit in Stockholm. I cover some brief AI history, compute, open source, safety, bio, fusion, et al. The 10 minute talk is now up and I hope you enjoy it!
-
AI Unlocks Animal Communication Mysteries With ML Models
By
–
Ever wondered if we could talk to animals like Dr. Dolittle? AI is unlocking the mysteries of animal communication and our understanding of the animal kingdom with the help of ML and voice-recognition models. Tap to read more: https://
rb.gy/jrekh -
Reflecting on the validity of transfer learning approaches
By
–
Je trouvais ca super cool comme approche , ca avait l'air d'être un transfer learning intelligent… Mais bon… quand c'est trop beau c'est surement que c'est pipeauté.
-
Identifying code errors in machine learning research benchmarks
By
–
Looks like the gzip paper I was enthusiastic about over-estimated its scores because of a bug in the code: it did top-2 knn instead of k=2. We should remember this as (yet another) a strong case for testing in ml code. I still like that it put a new idea in my toolbox. t.co/MyJA2BEExs