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The last widely used AI tool was facial recognition, a technology widely used in fields such as company clock-ins, access control, surveillance, and more, and i
by renonce 3y ago
The last widely used AI tool was facial recognition, a technology widely used in fields such as company clock-ins, access control, surveillance, and more, and it is so trusted that facial recognition is often the sole method for clocking in. These facial recognition systems can maintain an extremely high accuracy rate for every entry and exit of thousands of people in a database every day. Now when will LLMs achieve such accuracy?
- bitnasty 3y agoThey have… they write language and they are good at it. The problem is language is not reality, proper language does not mean truth or fact. The models predict what is most likely to come next, not what is most likely to reflect reality.
- nomel 3y ago> what is most likely to come next > not what is most likely to reflect reality. Shouldn't there be a strong statistical correlation between the two? And, isn't that, fundamentally, more about intent of the training? If I train a model to predict what comes next in reality, it's through next word prediction, but it is predicting what reflects reality the best.