Submitted by jsonathan t3_106q6m9 in MachineLearning
TrueBirch t1_j4jd8af wrote
Reply to comment by 2Punx2Furious in [P] I built Adrenaline, a debugger that fixes errors and explains them with GPT-3 by jsonathan
A true AGI has way too many edge cases to be possible in the timeframe you describe. It's also not necessary to create AGI in order to make a lot of money from AI. You can find the specific jobs that you want to replace and create a task-specific AI to do it.
2Punx2Furious t1_j4kyyhq wrote
True that you don't need AGI to disrupt everything. But I don't think the edge cases matter, it's not like it will be coded manually.
TrueBirch t1_j4lb7fg wrote
>I don't think the edge cases matter
Being able to handle those weird edge cases is what distinguishes AGI from the kinds of AI that companies are currently developing...
2Punx2Furious t1_j4lbgjj wrote
Yes, I'm saying the fact that there are edge cases doesn't matter, because it's not us who have to address them. As we get closer and closer to AGI, it will get better at handling them, we won't have to find them, and code solutions for them. I think it will be an emergent quality of AGI.
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