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> Extensive experiments using both human and automatic evaluation metrics demonstrate that TnT-LLM generates more accurate and relevant label taxonomies when co

> Extensive experiments using both human and automatic evaluation metrics demonstrate that TnT-LLM generates more accurate and relevant label taxonomies when compared against state-of-the-art baselines, and achieves a favorable balance between accuracy and efficiency for classification at scale. It sounds like it could be used very effectively to create even more detailed databases of surveillance on us, by taking every type of unstructured thing we write online and making a massive database out of it. Then the information will be put into models and used to predict our future behaviour. Excellent for insurance companies and law enforcement to further subjugate and restrict human behaviour. Definitely not worth it.

PaulHoule 3y ago
… Or an accounting firm can do this to Enron’s books and it tells them where the fraud is. Or an aircraft manufacturer can throw in all the product documentation for their aircraft and all of their parts suppliers and the maintenance records too and turn it into a database. Or an international regulator could do the same for air traffic control regulations and incident reports. Or a global beverage manufacturer or a clothing and footwear company can do the same for their social media interactions. Or a gamer can do it for a video game walkthrough and ask “What do I have to to build item X?” So far as surveillance goes, about ten years ago I went to a conference where there was a workshop on text analysis put on by no other than Edward Snowden’s bosses boss. Except few of us knew who Edward Snowden was until a few weeks later! That was the beginning of the phase where I talked to all sorts of folks about how to do text analysis and, despite finding out about a few projects where people’s heads were well underwater, found that people who worked in the research triangle park area working for three-letter agencies had a lot to learn from, but not so much silicon valley folks, academics, etc. Also some companies you’ve heard of and even more you hadn’t heard of from India were doing big projects with Apache UIMA and half a battalion worth of annotators.
- vouaobrasil 3y ago
  > … Or an accounting firm can do this to Enron’s books and it tells them where the fraud is. Or an aircraft manufacturer can throw in all the product documentation for their aircraft and all of their parts suppliers and the maintenance records too and turn it into a database. Or an international regulator could do the same for air traffic control regulations and incident reports. Or a global beverage manufacturer or a clothing and footwear company can do the same for their social media interactions. Or a gamer can do it for a video game walkthrough and ask “What do I have to to build item X?” An excellent argument that global society has become too complex and we should return to a greater dependence on local communities and less complexity. Instead of using AI, let's just take Enron down, reduce air travel, remove international trade except for some very crucial items, and DESTROY global beverage and clothing manufacturers. A pox on society those last two are. As for video games, that seems like a stretch. There are plenty fine video games that were made before AI.

PaulHoule 3y ago

… Or an accounting firm can do this to Enron’s books and it tells them where the fraud is. Or an aircraft manufacturer can throw in all the product documentation for their aircraft and all of their parts suppliers and the maintenance records too and turn it into a database. Or an international regulator could do the same for air traffic control regulations and incident reports. Or a global beverage manufacturer or a clothing and footwear company can do the same for their social media interactions. Or a gamer can do it for a video game walkthrough and ask “What do I have to to build item X?” So far as surveillance goes, about ten years ago I went to a conference where there was a workshop on text analysis put on by no other than Edward Snowden’s bosses boss. Except few of us knew who Edward Snowden was until a few weeks later! That was the beginning of the phase where I talked to all sorts of folks about how to do text analysis and, despite finding out about a few projects where people’s heads were well underwater, found that people who worked in the research triangle park area working for three-letter agencies had a lot to learn from, but not so much silicon valley folks, academics, etc. Also some companies you’ve heard of and even more you hadn’t heard of from India were doing big projects with Apache UIMA and half a battalion worth of annotators.

vouaobrasil 3y ago
> … Or an accounting firm can do this to Enron’s books and it tells them where the fraud is. Or an aircraft manufacturer can throw in all the product documentation for their aircraft and all of their parts suppliers and the maintenance records too and turn it into a database. Or an international regulator could do the same for air traffic control regulations and incident reports. Or a global beverage manufacturer or a clothing and footwear company can do the same for their social media interactions. Or a gamer can do it for a video game walkthrough and ask “What do I have to to build item X?” An excellent argument that global society has become too complex and we should return to a greater dependence on local communities and less complexity. Instead of using AI, let's just take Enron down, reduce air travel, remove international trade except for some very crucial items, and DESTROY global beverage and clothing manufacturers. A pox on society those last two are. As for video games, that seems like a stretch. There are plenty fine video games that were made before AI.