long before AGI eats the world, narrow AI will eat the stock market.
it seems obvious this will happen with an open hedge fund.
one that gives data away for free and lets any new AI improve it.
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Erfan
@erfaneshrati
PhD, Research Engineer
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Picking up inspiring indications that the protests in Iran are gathering strength. The BBC reporter concluded, “Who knows where it will end?” Decent people all over the world must hope it will end with the toppling of the disgusting Ayatollahs and their Islamic tyranny.
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Today in : #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: dpmd.ai/dm-alpha-tensor & dpmd.ai/nature-alpha-t 1/
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Get faster, more flexible inference on GPUs using our newly open-sourced AITemplate, a revolutionary new inference engine that delivers up to 12X performance improvements on NVIDIA GPUs & 4X on AMD GPUs compared to eager-mode within Pytorch.
Learn more: bit.ly/3rl8F3b pic.twitter.com/3HMYZuYJ52
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I just used 3,000 GPU-hours to test all 9 new OpenAI Whisper speech recognition models, two Talon acoustic models, and NVIDIA Nemo large and xlarge models. Whisper has a peculiar failure case. Here's what I think.
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In this article, you'll learn how Kubernetes uses the Container Runtime to create containers
You will also discuss different types of container runtimes
➜ medium.com/@hmquan0801199
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Now after centuries, Iranians are even expelling their own version of Islam (Shi'ite). The country has been in post-traumatic stress disorder for over fourteen centuries. I hope finally a functional democracy rises in my country.
#مهسا__امینی
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According to Bernard Lewis, after the Arab Conquest, "Iran was indeed Islamized, but it was not Arabized."
But Iranians turned to Islam to save their lives, and by inventing Shi'ite they gradually expelled the Arab version of Islam.
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Numerai just reached a full 3 year track record. August return is now up on numerai.fund.
The Aurum Quant Index below is an average of ~$60bn of the top quant funds. We celebrate 3 years with the magnitude of Numerai’s outperformance never being wider.
read image description
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Wondering about doing anomaly detection, denoising, and synthetic data generation with the dataset?
Check out my new blog post, "Variational Auto Encoders (VAE) for the Numerai Dataset" + codes:
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CLIP's image-text embedding space is rich enough to enable zero-shot object detection using text prompts. If you are interested in classifying between "jumping cats" and "sitting cats", check out my blog post for 😸:
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GPT-3 is amazing at complex tasks like creative writing and summarizing. But it's surprisingly bad at reversing words. 🤔
The reason is that GPT-3 doesn't see the world the way we humans do. 👀
If you teach it to reason, it can get around its limitations to get really good. 💡
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Gato🐈a scalable generalist agent that uses a single transformer with exactly the same weights to play Atari, follow text instructions, caption images, chat with people, control a real robot arm, and more: dpmd.ai/Gato
Paper: dpmd.ai/Gato-paper 1/
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A variant I always try:
import cudf as pd
Not kidding. Many times pandas code runs out of the box with cudf, only way faster.
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Want to speedup Pandas DataFrame operations? Let me share one of my Kaggle tricks for fast experimentation.
Just convert it to cudf and execute it in GPU using this 1 liner.
#Kaggle #MachineLearning #Python #pandas #Nvidia #rapidsai #cudf
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Every CEO should say something absurd to his staff every now and then, just to see who pushes back.
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Competitive advantages on startup pitch decks
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the people who already have access to dalle2 👀
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Spacetime is the hardware, and matter is the software running on it.
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“Freedom is not free” now used as a meme for the Python scientific stack:
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Backpropagation was invented by a psychologist trying to understand how children learn language. Who knows where the next world-sweeping ML algorithm will come from?
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Watching devs using Kubernetes
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"Silence is the language of God. All else is poor translation." - Rumi
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Numerai is introducing a new metric for model evaluation called True Contribution (TC). Users who stake based on TC will participate in a Human-In-The-Loop Stochastic Gradient Descent. This encourages people to stake more $NMR.
Watch Numercon at youtube.com/watch?v=Iv63tY
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deep learning research has been mostly focused on unstructured data (image, video, text, audio). xgboost is still on top for tabular data.
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XGBoost Is All You Need
Deep Neural Networks and Tabular Data: A Survey
arxiv.org/pdf/2110.01889
The United States has been a better home for me than Iran. Thanks for letting me in; I appreciate it 💙
Most people don’t realize just how valuable it is to have a company that retains people for 4 years on average instead of 2.
People crush it in years 3 and 4.
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research in academia is economically broken and academics often have competitve mindset. this imbalance in the desire and available resources have eventually lead to creating abusive phd research environments so that many talents are leaving academia.
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I’ve decided to leave my PhD after a lot of personal challenges due to mental health/COVID, which also revealed the frustrating ways that academia and I are less-than-compatible. Not sure what’s next (other than continuing to do math, because I literally cannot help myself)!
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When you hit the send button and immediately spot 3 typos after.
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