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The so called “AI” as they are practicing it now, is not intelligent at all. Sure, they found a new trick to recognize cat pictures. But this technique was dis

The so called “AI” as they are practicing it now, is not intelligent at all. Sure, they found a new trick to recognize cat pictures. But this technique was discovered decades ago. It just took this long for computers to speed up, for it to be usable. Instead, they should change the moniker from Artificial Intelligence, to Artificial Insight. Because all it is doing is to comb through all that random data, to look for interesting signals. But, the algorithm doesn’t even know if what it found, is interesting. That’s up to the human to decide. Hence, the algorithm can provide Insight. But, it is the human in the loop, that will provide the intelligence.

sanxiyn 6y ago
> But this technique was discovered decades ago. It just took this long for computers to speed up, for it to be usable. This isn't really true. Old techniques don't work well even with modern compute. Now, try replacing sigmoid with ReLU in old networks and see it improve.
- Retric 6y ago
  Many 90’s era attempts that failed do work vastly better on modern hardware. There are many tweaks that showed up once people could fine tune using vast amounts of processing power, but I would put ~80% of the advancements from HW and 20% from algorithms. Having a million or more times the processing power really makes or breaks modern ML.
tauchunfall 6y ago
>Instead, they should change the moniker from Artificial Intelligence, to Artificial Insight. Several times when I spoke to people about this point I got empty faces. Some seem to like the idea of automating things more than augmenting human thought with better tools. Related article about Moldable Development: >We can trace both models back to the early years of the first electronic computers. However, the struggle between these two worlds is still present today. For instance, Intelligence Augmentation (IA), is all about empowering humans with tools that make them more capable and more intelligent, while Artificial Intelligence (AI) has been about removing humans fully from the loop. You can read an excellent essay (Shan Carter and Michael Nielsen) about this topic. via: https://osoco.es/thoughts/2019/05/designing-media-for-thought-with-moldable-development/ https://osoco.es/thoughts/2019/05/designing-media-for-though...

sanxiyn 6y ago

> But this technique was discovered decades ago. It just took this long for computers to speed up, for it to be usable. This isn't really true. Old techniques don't work well even with modern compute. Now, try replacing sigmoid with ReLU in old networks and see it improve.

Retric 6y ago
Many 90’s era attempts that failed do work vastly better on modern hardware. There are many tweaks that showed up once people could fine tune using vast amounts of processing power, but I would put ~80% of the advancements from HW and 20% from algorithms. Having a million or more times the processing power really makes or breaks modern ML.

tauchunfall 6y ago

>Instead, they should change the moniker from Artificial Intelligence, to Artificial Insight. Several times when I spoke to people about this point I got empty faces. Some seem to like the idea of automating things more than augmenting human thought with better tools. Related article about Moldable Development: >We can trace both models back to the early years of the first electronic computers. However, the struggle between these two worlds is still present today. For instance, Intelligence Augmentation (IA), is all about empowering humans with tools that make them more capable and more intelligent, while Artificial Intelligence (AI) has been about removing humans fully from the loop. You can read an excellent essay (Shan Carter and Michael Nielsen) about this topic. via: https://osoco.es/thoughts/2019/05/designing-media-for-thought-with-moldable-development/ https://osoco.es/thoughts/2019/05/designing-media-for-though...