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Are we closing the door on openness & sharing? Evaluating the possible changes in the AI landscape
Dec 07, 2023
Room 1A14
Next-Gen Applications Stage
- Exploring how the AI landscape got to where we are, and where it’s going and assessing the contribution of openness to this phenomenom.
- Think tanks such as Google Deepmind, Meta Labs, Hugging Face used to openly share their data online and played a huge role in progressing us to where we are today whilst monetizing. We will be looking at how monetization has been working with models such as Databricks models.
- Could we be witnessing the slow closing of shared research? Many have begun to close shared search research due to monetization- although open shared data amongst enterprises is what led to the catalyst in speeding up the introduction of AI.
- Speculating the possible effects, the downward trend of openness and sharing could have on the speed and growth of the AI landscape and where its headed.
- Who will be the first to make a large language model that will disclose where they gather their data?
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