This approach is alignment by bootstrapping. To use it you need some agent able to tag all the text in the training set, with many different categories.
Pre GPT4, how could you do this?
Well, humans created all of the training data on our own, so it should be possible to add the necessary structured data to that! There are large scale crowdsourced efforts like Wikipedia. Extending Wikipedia, and a section of the internet, with enhancements like associating structured data with unstructured data, plus a reputation-weighted voting system to judge contributions, seems achievable. You could even use models to prelabel the data but have that be human verified at a large scale (or in semi-automated or fully automated, but non-AI ways). This is what I’m trying to do with Web 10. Geo is the Web3 version of this, and the only other major similar initiative I’m aware of.
Well, humans created all of the training data on our own, so it should be possible to add the necessary structured data to that! There are large scale crowdsourced efforts like Wikipedia. Extending Wikipedia, and a section of the internet, with enhancements like associating structured data with unstructured data, plus a reputation-weighted voting system to judge contributions, seems achievable. You could even use models to prelabel the data but have that be human verified at a large scale (or in semi-automated or fully automated, but non-AI ways). This is what I’m trying to do with Web 10. Geo is the Web3 version of this, and the only other major similar initiative I’m aware of.