The latest blog posts to take off on Hacker News. 185 posts.
The Book of Why: The New Science of Cause and Effect is a collaborative effort aimed at a general audience by Judea Pearl , a professor of computer science at UCLA, and Dana Mackenzie , a science writer. As a medical student with a laughably poor formal education in statistics, I believe I qualify as a card-carrying…
Reflections from my time at Google Brain, and why I left for a PhD.
I have aggregated some of the SotA image generative models released recently, with short summaries, visualizations and comments. The overall development is summarized, and the future trends are spe…
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar…
A digital twin of our planet is to simulate the Earth system in future. It is intended to support policy-makers in taking appropriate measures to better prepare for extreme events. A new strategy paper by European scientists and ETH Zurich computer scientists shows how this can be achieved.
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What does Timnit Gebru’s firing and the recent papers coming out of Google tell us about the state of research at the world’s biggest AI…
Critics of AI risk suggest diminishing returns to computing (formalized asymptotically) means AI will be weak; this argument relies on a large number of questionable premises and ignoring additional resources, constant factors, and nonlinear returns to small intelligence advantages, and is highly unlikely.
comma.ai gets punished for being open, so why would anyone even bother?
This paper shows that models which result from gradient descent training (e.g., deep neural nets) can be expressed as a weighted sum of simi...
SUMMARY Mountain Dew's Super Bowl LV ad challenged viewers to count the exact number of bottles in the commercial for a $1 million prize, and this post builds an object detection model to assist with that count. The 30-second video was sampled at three frames per second in Roboflow to produce 92 annotated training…
It resembles the Library of Babel more than HAL.
Data labeling is often the biggest bottleneck in machine learning. Active learning lets you train machine learning models with much less labeled data. The best AI-driven companies, like Tesla, use active learning.
If you ever wanted to learn about machine learning you could do worse than have Jason Gauci teach you. Jason has worked on YouTube recommendations. He was an early contributor to TensorFlow the open-source machine learning platform. His thesis work was cited by DeepMind. But what I find so fascinating with Jason is he…
Like many people, I’ve been entertaining myself at home by baking a ton. I’ve gotten pretty good at following recipes, but I decided I wanted to take things one step further and understand the science behind what differentiates a cake from a bread or a cookie. I also like machine learning so I thought: what if I could…
Recently, we translated the predictive power of machine learning (ML) into $1.7 million a year in infrastructure cost savings by optimizing how Dropbox generates and caches document previews. Machine learning at Dropbox already powers commonly-used features such as search , file and folder suggestions , and OCR in…
How I (almost) replicated OpenAI’s GPT-2 (124M version)
With Donald Trump suspended from Twitter and Facebook, and Parler kicked off AWS, there is renewed discussion about what sort of speech is acceptable online, and how it should be enforced. Let me say up front that I believe that these bans were justified. However, they do raise questions that need to be discussed…
The bureaucrats are running the asylum
Last time, we briefly mentioned the high-level differences between Stockfish and Leela Chess. To recap, Stockfish evaluates about 100 million positions per second using rudimentary heuristics, wher…
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An international team of researchers has demonstrated the world’s fastest and most powerful optical neuromorphic processor for artificial intelligence, which is capable of processing ultra-large scale data.
