Your reply begs the question which definition of AI you are using.
The above is from Russells and Norvigs "Artificial Intelligence: A Modern Approach" 3rd edition.
I would argue that from these 8 definitions 6 apply to modern deep learning stuff. Only the category titled "Thinking Humanly" would agree with you but I personally think that these seem to be self defeating, i.e. defining AI in a way that is so dependent on humans that a machine never could have AI, which would make the word meaningless.
The fundamental idea to use matrix multiplication plus a non linear function, the idea of deep learning i.e. back propagating derivatives and the idea of gradient descent in general, may not have changed but the actual algorithms sure have.
For example, the transformer architecture (that is utilized by most modern models) based on multi headed self attention, optimizers like adamw, the whole idea of diffusion for image generation are I would say quite disruptive.
Another point is that generative ai was always belittled in the research community, until like 2015 (subjective feeling would need meta study to confirm). The focus was mostly on classification something not much talked about today in comparison.
Something similar? I read a picture wrong going of a fact I've heard before.
I was just lazy I give you that. I did not double check but after someone pointed the mistake out I gave better numbers.
So how is that similar to what happened before? My main point wasn't that I distrust the numbers they are posting but the way it is not backed up with good explanations and/or potential causes.
Reading back this comment does come off as overly defensive but I am genuinely confused what I did that is similar and how I should've behaved better in the face of my error.
That was such a culture shock when I went to the us for the first time.
In Germany and many places in Europe do not think of burgers as sandwiches. I was so confused when I ordered a sandwich and got something like a burger.
I expected something like this. My confusion must've been quite the sight, the waitress even seemed concerned. Tasted great though.
Bullshit semantics. Words get their meaning through their use. Xenophobic shit is often labeled as racism. If one says polish people steal, Germans fuck pigs or Chinese people only eat rice, it's fucking racism.
Das ganze hat wirklich mir jeglichen Spaß an Sport genommen. Erst viel später habe ich Gewichtheben für mich entdeckt.
Da kann ich mir soviel Zeit lassen wie ich will zwischen Sätzen und mein eigenes Tempo wählen. Ich muss nicht schnell sein und habe keine Angst durch Unfähigkeit andere zu benachteiligen wie im Teamsport.
Ich glaube wirklich dass es für jeden einen passenden Sport gibt. Es ist nur für manche eine riesige Qual herauszufinden welche. "Probier einfach welche aus" hört sich toll an, aber bracht auch extreme geistige und teilweise körperliche Ausdauer.
Btw I didn't down vote you.
Your reply begs the question which definition of AI you are using.
The above is from Russells and Norvigs "Artificial Intelligence: A Modern Approach" 3rd edition.
I would argue that from these 8 definitions 6 apply to modern deep learning stuff. Only the category titled "Thinking Humanly" would agree with you but I personally think that these seem to be self defeating, i.e. defining AI in a way that is so dependent on humans that a machine never could have AI, which would make the word meaningless.