compute matters, but so does data. pre-training data wall -> post-training data boom @scale_AI is the data foundry that will accelerate us out of this rut
GENERATIVE AI
-
New York Times names Balaji in OpenAI legal case documents
By
–
“In a Nov. 18 letter filed in federal court, attorneys for The New York Times named Balaji as someone who had "unique and relevant documents" that would support their case against OpenAI. He was among at least 12 people – many of them past or present OpenAl employees…”
-
OpenAI Copyright Issues Surface Following Suchir Balaji Public Disclosure
By
–
Whoa, shocking news just months after @suchirbalaji went public about AI-related copyright issues at OpenAI.
-
Speed in AI: The New Broadband Era for Applications
By
–
Speed matters, we are no longer in the dial-up era of AI. "Once we got broadband, all of a sudden, you had new applications, you had streaming, you had all these things that were fun, and the engagement was high, and I think that’s what’s happening right now with AI, is
-
Ian receives test of time award for groundbreaking GANs research
By
–
Huge congratulations Ian for the test of time award for the seminal work on GANs, extremely well deserved!!
-
Phi-4 Synthetic Data Generation Principles Released
By
–
Phi-4's principles for generating synthetic data remind me of something… It's a cool paper, I'm glad they released more stuff this time.
-
DWF Celebrates GAN Development and LISA Lab Contributions
By
–
Congratulations to @dwf for a great talk. I thought he did a great job of giving credit to all the lab members that made GANs possible and describing how LISA was the right environment to create them as well as summarizing the impact they had after publication.
-
GANs Win Test of Time Award at NeurIPS 2026
By
–
Today GANs got 1 of 2 test of time awards at @NeurIPSConf . Many thanks to my co-author @dwf for preparing and presenting the talk. It’s no easy task to summarize 85k papers in 12 minutes
-
Efficient AI Models: Advancing Performance and Optimization
By
–
We do efficient models very efficiently
-
Understanding Logit: The Horror and Wonder of AI Transformation
By
–
Lost in Transformation: The Horror and Wonder of Logit – Robert Kubinec https://
bit.ly/3BeyfiW
#AI #MachineLearning #DeepLearning #LLMs #DataScience