A new neural network just dropped from @MIT aka Kolmogorov-Arnold Network (KAN).
Let's try to break it down!
Note: Some technical descriptions are simplified and rephrased for clarity:
🧵 👇👇
Competitive Machine Learning today:
1. PyTorch > TensorFlow.
2. Convolutional Neural Networks > Transformers-based models.
3. Python is still king.
There were 300+ Machine Learning competitions in 2023. $7.8M+ in total prize money (a 40% dollar increase over 2022.)
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The reason to deliberately do hard things is so that when non-self-elected challenges arrive (& they will), you can tell yourself: “I don’t know how this is all going to turn out, but I am certain I can do hard things.” Don’t self injure. But doing hard things is always…
My greatest fear for the future of AI is if overhyped risks (such as human extinction) lets tech lobbyists get enacted stifling regulations that suppress open-source and crush innovation.
Read more in our Halloween special issue of the Batch: deeplearning.ai/the-batch/issu…
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