Data Commons Crisis
Frustration mounts over the AI industry's handling of data curation, with major players facing scrutiny for their practices. As access to data shrinks, creators find themselves in a precarious position, forced to either relinquish control of their work or adapt to the evolving landscape. A clear definition of open source AI is essential to safeguard the future of transparency and accessibility in this rapidly changing ecosystem.In this clip
From this podcast
Interconnects Audio
On the current definitions of open-source AI and the state of the data commons
Related Questions
Why is openness important for artificial intelligence, as discussed in the episode AI: Is It Out Of Control? and the clip Open Source AI Revolution?
Why is openness important for artificial intelligence, as discussed in the episode Making the Most of Open Source in AI and the clip Open Source Myths in the context of the episode "DisTrO and the Quest for Community-Trained AI Models" and the clip "Open Source AI"?
Why is openness important for artificial intelligence, as discussed in the episode Making the Most of Open Source in AI and the clip AI Transparency Discussion from the episode Shaping AI Benchmarks with Together AI Co-Founder Percy Liang and the clip Open Model Transparency?