OpenAI spends about $700,000 a day, just to keep ChatGPT going. The cost does not include other AI products like GPT-4 and DALL-E2. Right now, it is pulling through only because of Microsoft's $10 billion funding
If you have domain expertise you would agree with us that, despite not being AGI, as it is now, deep learning, reinforcement learning, generative AI are an incredible creation of humanity, that, among other things, are capable already of:
solving long standing scientific challenges such as protein folding,
taking independent decisions and develop strategies that, on specific tasks, surpass human experts
mapping human languages and artistic creations in high dimensional vector spaces where concepts and relationships are retained as properties of the spaces, allowing to perform math and statistical inference, generating original images and text (a thing for which, few decades ago, not many would have guessed such manageable mathematical representation could even exist).
On top of this we give for granted all the current already existing applications, such as image recognition, translation, text classification…
You would also agree with us that the potential of current AI methodologies in all fields of science and technology is already enormous, as demonstrated by alphafold for instance. We just need few more years to see even more groundbreaking applications of the exising methodologies, while we wait for even more powerful techniques or, why stop dreaming, AGI in few decades.
What it’s doing is just a natural extension of what was done with basic Neural Networks back in the 90s when it started being used for recognition of human-written postal code numbers on mail envelopes.
This is why I disagree that this specific moment in the development of AI is “an incredible creation of humanity”. Maybe the domain as a whole will turn out to be as groundbreaking as computers, but the idea that what’s being done now by itself is that is ignorant, premature or both.
As for the rest, I actually studied Physics at a Degree level and with it complex Mathematics and your point #3 is absolute total bollocks.
I was actually taking the time to share with you some very basic resources for you to learn something on basic stuff such as latent space, embedding, attention mechanism, markov decision processes, but your attitude really made change my mind.
It’s fine that you clearly don’t have the domain knowledge you claim, but your rudeness is really annoying. Enjoy your life with your achievement of complex math at degree level and learn how to speak
BTW, neural networks, even if few decades old, are an incredible achievement of humanity, even knowing how to roughly simulate a human neural network involves understanding of the brain, of non-linear math and existence of computers and (each of them) are astonishing achievements of humanity
If you have domain expertise you would agree with us that, despite not being AGI, as it is now, deep learning, reinforcement learning, generative AI are an incredible creation of humanity, that, among other things, are capable already of:
On top of this we give for granted all the current already existing applications, such as image recognition, translation, text classification…
You would also agree with us that the potential of current AI methodologies in all fields of science and technology is already enormous, as demonstrated by alphafold for instance. We just need few more years to see even more groundbreaking applications of the exising methodologies, while we wait for even more powerful techniques or, why stop dreaming, AGI in few decades.
What it’s doing is just a natural extension of what was done with basic Neural Networks back in the 90s when it started being used for recognition of human-written postal code numbers on mail envelopes.
This is why I disagree that this specific moment in the development of AI is “an incredible creation of humanity”. Maybe the domain as a whole will turn out to be as groundbreaking as computers, but the idea that what’s being done now by itself is that is ignorant, premature or both.
As for the rest, I actually studied Physics at a Degree level and with it complex Mathematics and your point #3 is absolute total bollocks.
I was actually taking the time to share with you some very basic resources for you to learn something on basic stuff such as latent space, embedding, attention mechanism, markov decision processes, but your attitude really made change my mind.
It’s fine that you clearly don’t have the domain knowledge you claim, but your rudeness is really annoying. Enjoy your life with your achievement of complex math at degree level and learn how to speak
BTW, neural networks, even if few decades old, are an incredible achievement of humanity, even knowing how to roughly simulate a human neural network involves understanding of the brain, of non-linear math and existence of computers and (each of them) are astonishing achievements of humanity
I have in fact been following that stuff, thank you very much.