Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7175559472814157824
NVIDIA Keynote by CEO Jensen Huang Stanford University Economic Summit: https://lnkd.in/e5-r7Szm
#NVIDIA #JensenHuang #Keynote #AcceleratedComputing #GenerativeAI
#Learning #Unlearning #Meaning #Understanding: https://lnkd.in/eKWnZYdE :
Stanford University Graduate School of Business Interview: NVIDIA CEO #JensenHuang: https://lnkd.in/eggiDxwP :
Recently you said that you encourage students not to learn how to code…
Stanford University Keynote by #Founder-#CEO-#Pioneer, reminds one of prior Stanford Keynote by another #visionary #Founder-#CEO-#Pioneer of Apple Computer #SteveJobs: 2005 #Stanford #Commencement #Keynote: https://lnkd.in/eNbN4r_Y
“General purpose #computing is not ideal for every field of work and we said why don’t we in #invent a new way of doing #computation such that we can solve problems that #general #purpose #computing is ill-equipped at solving. What we what we have effectively done in in a particular area of a domain of #computation that is that’s that is #algorithmic in nature that we’ve taken the #computational #cost of #computers to approximately zero. So what happens when you take the marginal cost of something to approximately zero? We enabled a new way of doing #software where it used to be written by #humans, now we can use computers to write the software because the computational cost is approximately zero. So you might as well let the computer go off and grind on just a massive amount of #digital #experience we call #data to find the #relationships and #patterns that represent #human #knowledge.
That miracle happened about a decade and a half ago as we saw it coming and we took the whole company driving the marginal cost of computing down to zero as we pushed it into this whole domain. As a result, in the last 10 years we reduced the cost of computing by one-million times and the cost of #DeepLearning by one million times. A lot of people said to me but Jensen if you if you reduce the cost of computing your cost by a million times, then people buy less of it. It’s exactly the opposite we saw that if we could reduce the #marginal #cost of #computing down to approximately zero. We might use it to do something insanely amazing #LargeLanguageModels to literally extract all of #digital #human #knowledge from the internet and put it into to a computer and let it go figure out what the knowledge is. That idea of #scraping the entire #internet and putting it in one computer and let the computer figure out what the program is an insane concept but you wouldn’t ever consider doing it unless the marginal cost of computing was zero.”
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