@VirginAtlantic Changing a travel ticket proving to be a nightmare with the airlines. The webchat link doesn’t work with a dead link and the call waiting times are crazy. Can’t seem to change the ticket in the portal which is such a basic service.
It’s a great read to understand the perspective of people building AI. Thought provoking and futuristic!
There are many assumptions made throughout the article that can spark some very interesting debates and discussions!
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
@david_perell I firmly believe people can toggle between the two depending on circumstance or expertise.
Also, what’s the difference between fast vs slow twitch thinkers & system 1 vs system 2 thinking?
@helloiamleonie This is very similar to what I did to solve this problem. Except I wrote a python code and dicts covering several cases. Yaml definitely could be another piece to make it a bit more elegant.
@burkov At the current scale and speed, the amount of such data and misinformation, inherent biases impacting education and thus humanity can be profound and all consuming. And this may not be because of the technology capability itself but the way we use the current technology.
@burkov For the second one though, as someone in the tech space and witnessing how the current state of the technology is being consumed (irrespective of it being responsible or not), I see how it has the ability to consume us. Soon the internet is going to be full of AI generated data.
Netravalkar getting Kohli out for a duck proves the Indian uncles were right this whole time.
"First get masters in US and become engineer beta, then you play cricket"
Got the vocabulary refresher today for the language I grew up with 😍😍
Ujjar Kabootar
Behaya
A well written emotional rollercoaster🍿🍿
Kudos to the @TheViralFever!
#Panchayat#PanchayatS3
This was the time when Python picked up with various deep learning libraries which needed to be rewritten in numpy/cython for prod deployment! Keras came in shortly after which started the trend of encapsulating neural network layers. Going back to C++ brings back memories!
# CUDA/C++ origins of Deep Learning
Fun fact many people might have heard about the ImageNet / AlexNet moment of 2012, and the deep learning revolution it started.
https://t.co/2xjLWODMOf
What's maybe a bit less known is that the code backing this winning submission to the contest was written from scratch, manually in CUDA/C++ by Alex Krizhevsky. The repo was called cuda-convnet and it was here on Google Code:
https://t.co/ch137VSYZ4
I think Google Code was shut down (?), but I found some forks of it on GitHub now, e.g.:
https://t.co/zYhzdUxoEN
This was among the first high-profile applications of CUDA for Deep Learning, and it is the scale that doing so afforded that allowed this network to get such a strong performance in the ImageNet benchmark. Actually this was a fairly sophisticated multi-GPU application too, and e.g. included model-parallelism, where the two parallel convolution streams were split across two GPUs.
You have to also appreciate that at this time in 2012 (~12 years ago), the majority of deep learning was done in Matlab, on CPU, in toy settings, iterating on all kinds of learning algorithms, architectures and optimization ideas. So it was quite novel and unexpected to see Alex, Ilya and Geoff say: forget all the algorithms work, just take a fairly standard ConvNet, make it very big, train it on a big dataset (ImageNet), and just implement the whole thing in CUDA/C++. And it's in this way that deep learning as a field got a big spark. I recall reading through cuda-convnet around that time like... what is this :S
Now of course, there were already hints of a shift in direction towards scaling, e.g. Matlab had its initial support for GPUs, and much of the work in Andrew Ng's lab at Stanford around this time (where I rotated as a 1st year PhD student) was moving in the direction of GPUs for deep learning at scale, among a number of parallel efforts.
But I just thought it was amusing, while writing all this C/C++ code and CUDA kernels, that it feels a bit like coming back around to that moment, to something that looks a bit like cuda-convnet.
This is my biggest fear with people rushing to embrace RAG, chatbots, and agents, hoping they can downsize their workforce for shareholder value creation — the conflation of knowledge and understanding leading to many more Boeings.
https://t.co/gI6qL2G5yi
INSAT-3DS takes flight!
ISRO launches INSAT-3DS meteorological satellite onboard a GSLV-F14 from Satish Dhawan Space Centre, Sriharikota.
#GSLVF14#INSAT3DS#ISRO
The real scam going around that regular people fall for is someone you don’t know sends you $2-3k on Venmo. Panic messages this was a mistake. Please send back I need it. And when you do you just laundered their money while the stolen proceeds they sent will be recovered from you