There are many questions about OpenAI's development process
RESEARCH
-
Karpathy Leaves OpenAI: Advocate for AI Education and Simplification
By
–
Interesting to see Karpathy step away from OpenAI. I hope he keeps on teaching how these AI systems work. He is the best I've ever come across for making these complex topics seem simple(r).
-
Open Source AI Community Recognition and Appreciation
By
–
you are underrated (and the whole open-source AI community)
-
DP-Auditorium: Open Source Differential Privacy Auditing Library
By
–
Introducing DP-Auditorium, an open source library for auditing #DifferentialPrivacy guarantees with just black-box access to a mechanism, i.e., without any knowledge of the mechanism’s internal properties. Learn more and copy the code. ↓ https://
goo.gle/42GW63S -
AI Acceleration: How Early We Still Are in Development
By
–
This aged well. @gdb tweeted 2/12/23. I often share a screenshot of this tweet in my presentations when trying to convey how early we are, and how fast AI is accelerating.
-
OpenAI announces 11 winning teams for agentic AI safety research grants
By
–
We have now selected and notified 11 winning teams. They will receive grants ranging between $15K and $100K to conduct research on the impacts of agentic AI systems and approaches for making them safe. Thank you to all the teams that applied. OpenAI (@OpenAI) Our new research white paper identifies seven practices for keeping increasingly agentic AI systems safe and accountable as they become more common and more capable. We are providing research grants for work on a range of open questions. openai.com/research/practice… — https://nitter.net/OpenAI/status/1735390088929202673#m
→ View original post on X — @jainkunal, 2024-02-13 22:00 UTC
-
Comparative View of AI, Machine Learning, Deep Learning, and Generative AI
By
–
A comparative view of AI, machine learning, deep learning, and generative AI.
Source https://
researchgate.net/publication/37
3797588_The_Application_of_AutoML_Techniques_in_Diabetes_Diagnosis_Current_Approaches_Performance_and_Future_Directions
… Via @ingliguori #MachineLearning #GenerativeAI #ArtificialIntelligence -
What Teachers Want From AI: Education Summit Insights
By
–
What do teachers want from AI? AI scholars, educators, school administrators, and startup founders shared their views at the second AI+Education Summit. @StanfordEd https://
stanford.io/42DtxEx -
Domino Data Lab Wins Dresner Technology Innovation Award
By
–
We're thrilled to announce that @DominoDataLab is a Dresner Technology Innovation Award winner in the categories of ModelOps and AI, Data Science & Machine Learning. https://
domino.buzz/4bEzANa @howarddresner #Innovation #ModelOps #DataScience #MachineLearning -
Generative Models for Protein-Ligand Binding Configuration
By
–
Generative models are not just for generating plausible text, as in ChatGPT, but also samples in other domains such as chemistry and biology. An important problem is generating the configuration of how proteins and small molecules (ligands) bind with one another. We designed