How Transparent Are Foundation Model Developers?
normaltech.ai · 792 words · saved by 1 readers
Introducing the Foundation Model Transparency Index
Foundation models such as GPT-4 and Stable Diffusion 2 are the engines of generative AI. While the societal impact of foundation models is growing, transparency is on the decline, mirroring the opacity that has plagued past digital technologies like social media. How are these models trained and deployed? Once released, how do users actually use them? Who are the workers that build the datasets that these systems rely on, and how much are they paid? Transparency about these questions is important to keep companies accountable and understand the societal impact of foundation models. Today,…
related reading
- On the Opportunities and Risks of Foundation Modelsarxiv.org
- AI Spring? Four Takeaways from Major Releases in Foundation Models | Stanford HAIhai.stanford.edu
- Marin is charting the way to the open frontier of artificial intelligencemarin.community
- On the Societal Impact of Open Foundation Modelsnormaltech.ai
- Foundation model - Wikipediaen.wikipedia.org
- gpt-4.pdfcdn.openai.com
- Foundation Models for Oversight | Transluce AItransluce.org
- On the Societal Impact of Open Foundation Modelscrfm.stanford.edu
- AI Model & API Providers Analysis | Artificial Analysisartificialanalysis.ai
- What I learned from looking at 900 most popular open source AI toolshuyenchip.com
- [2108.07258] On the Opportunities and Risks of Foundation Modelsarxiv.org
- Introducing Marin: An Open Lab for Building Foundation Models | Marinmarin.community