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Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 101 posts.
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Siri, What Time Is It in London?
Every other service that tries to answer “What time is it in London?” gets it right. Only Siri gets it wrong.
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Andreessen-Horowitz craps on “AI” startups from a great height
Andreessen-Horowitz has always been the most levelheaded of the major current year VC firms. While other firms were levering up on “cleantech” and nonsensical biotech startups that viol…
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InstaHide Disappointingly Wins Bell Labs Prize, 2nd Place
[What follows are my thoughts on some recent research in machine learning privacy. These are my thoughts, and do not represent those of others.]
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Full Autopilot in GTA Using TensorFlow
student, nomad in machine learning
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What I learned from looking at every AI/ML tool I could find
[Twitter thread, Hacker News discussion]
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Giving GPT-3 a Turing Test
I’ve been playing around with OpenAI’s new GPT-3 language model. When I got beta access, the first thing I wondered was, how human is GPT-3? How close is it ...
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You might not need machine learning
Machine learning is a trendy topic, so naturally it’s often used for inappropriate purposes where a simpler, more efficient, and more reliable solution suffices. The other day I saw an illustrative and fun example of this: Neural Network Cars and Genetic Algorithms . The video demonstrates 2D cars driven by a neural…
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Open Problems in Robotics
Robotics is one of those things the business funny papers regularly wonder about; it seems like consumer robotics is a revolutionary trillion dollar market which is perpetually 20-years away -more…
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Image Scaling Attacks
This post is part of a series about machine learning and artificial intelligence. Click on the blog tag “huskyai” to see related posts. Overview: …
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Introduction to Linear Algebra for Applied Machine Learning with Python
Linear algebra is to machine learning as flour to bakery: every machine learning model is based in linear algebra, as every cake is based in flour . It is not the only ingredient, of course. Machine learning models need vector calculus, probability, and optimization, as cakes need sugar, eggs, and butter. Applied…
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How GPT3 Works – Visualizations and Animations
Discussions: Hacker News (397 points, 97 comments), Reddit r/MachineLearning (247 points, 27 comments) Translations: German, Korean, Chinese (Simplified), Russian, Turkish The tech world is abuzz with GPT3 hype. Massive language models (like GPT3) are starting to surprise us with their abilities. While not yet…
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Why is AI so useless for business?
AI research has structural problems that limit how much it can impact business. But understanding why gives a way to determine what will work and what won't, as well as reveal new business opportunities.
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My First Year as a Freelance AI Engineer
This week marks my one-year anniversary of quitting my full-time job and becoming a freelance AI engineer. I’m writing down my thoughts and experience here so that this might be useful if you are even vaguely interested.
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Why deep learning works even though it shouldn’t
Why models always get better when they are bigger and deeper, even when the amount of data they consume stays the same or gets smaller.
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Using machine learning to recreate photorealistic portraits of Roman Emperors
Artistic interpretations of the 54 Roman emperors of the Principate, created with AI and historical references.
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Teaching GPT-3 to Identify Nonsense
In Giving GPT-3 a Turing Test, Kevin Lacker found that GPT-3 does well answering simple factual questions like “Who was president of the United States in 1955?”, but also happily answered absurd qu…
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Deep Learning for Guitar Effect Emulation
Since the 1940s, electric guitarists, keyboardists, and other instrumentalists have been using effects pedals, devices that modify the sound of the original audio source. Typical effects include distortion, compression, chorus, reverb, and delay. Early effects pedals consisted of basic analog circuits, often along…
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What is protein folding? A brief explanation
AlphaFold from Google DeepMind is said to solve the protein folding problem. What is that, and why is it hard?
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What I wish someone had told me about tensor computation libraries
I get confused with tensor computation libraries (or computational graph libraries, or symbolic algebra libraries, or whatever they’re marketing themselves as these days). I was first introduced to PyTorch and TensorFlow and, having no other reference, thought they were prototypical examples of tensor computation…
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GPT-3
May 2020 Gwern.net newsletter: GPT-3 scaling, implications, deep theory; anime GAN updates, and 1 book review.
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Autocomplete as an Interface (2015)
the real reason zsh beats bash • how I got twice as fast in python • autocompleting all the things • maximizing user-interface bandwidth
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Nvidia announces Jetson Nano 2GB, a single board computer
Using Python 3.6, OpenCV, Dlib and the face_recognition module
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Nvidia’s Integration Dreams
Nvidia’s acquisition of ARM only makes sense from a financial perspective, unless you buy Jensen Huang’s datacenter dreams.
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Recent Advances in Natural Language Processing
Deponysum membahas konsep filsafat, kecerdasan buatan, ekonomi, dan kritik sastra secara edukatif untuk memperluas wawasan dan cara berpikir kritis.
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I asked GPT-3 for the question to “42”
Can GPT-3 compute the ultimate question about life, the Universe and everything?
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Tempering Expectations for GPT-3 and OpenAI’s API
GPT-3 is indeed a large step forward for AI text-generation, but there are very many caveats with the popular demos and use cases.
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Tensorflow on edge, or – Building a “smart” security camera with a Raspberry Pi
The amount of time my outdoor cameras are being set off by light, wind, cars, or anything other than a human is insane. Overly cautious security cameras might be a feature, but an annoying one at that...
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Cool Machine Learning Books
awhile ago i posted my list of cool machine learning books , but it's been awhile so it's probably time to update it...