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Abstractions my Deep Learning word2vec model made
A blog on programming C#, REST, WCF, ASP.NET Web API and software architecture
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,092 posts.
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Implementing Neural Networks on a "10-cent" RISC-V MCU
I have been meaning for a while to establish a setup to implement neural network based algorithms on smaller microcontrollers. After reviewing existing solutions, I felt there is no solution that I…
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Multi-Armed Bandits, Conjugate Models and Bayesian Reinforcement Learning
This is the first of a two-part series about Bayesian bandit algorithms. Check out the second post here. Let’s talk about Bayesianism. It’s developed a reputation (not entirely justified, but not entirely unjustified either) for being too mathematically sophisticated or too computationally intensive to work at scale…
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Anyone Can Learn to Code an LSTM-RNN (Part 1: RNN)
A machine learning craftsmanship blog.
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Machine Learning Trick of the Day: Instrumental Thinking
· Read in · 1499 words · All posts in series · [dropcap]This[/dropcap] trick is unlike the others we’ve conjured. It will not reveal a clever manipulation of a probability or an integral or a…
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Markov Chain Monte Carlo Sampling
📍 This article has moved. Read the current version at This is the third part in a short series of blog posts about quantum Monte Carlo (QMC). The series is derived from an introductory lecture I ga…
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The AI Hate Progression
I think I've spoken at length in other places about how I am a very staunch AI hater and covered everything I hate about how the tech is pre...
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GPT might be an information virus (2023)
Obligatory: the views and opinions expressed in this post are my own and do not represent the views and opinions of my employer. In light of all the hype going around about ChatGPT, I wanted to offer my “hot take” on what the next 2-5 years
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Scientists should use AI as a tool, not an oracle
How AI hype leads to flawed research that fuels more hype
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AI was great until it was not
A cautionary tale.
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How to Think Computationally about AI, the Universe and Everything
In his TED Talk, Stephen Wolfram covers the emergence of space by the application of computational rules to spacetime, gravity and quantum mechanics to AI and LLMs. Computational irreducibility and the ruliad.
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I'm going to keep opting out
Marketing, solicitations, advertising, political contact, direct mailers, email campaigns, cookies, ads — it's all opt out. It puts the burden on you to opt out of each communication each message, each outreach from a loyalty program. It can feel like weeding a garden, but that garden is your attention. The weeds keep…
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What Will Transformers Transform?
Generative Pre-trained Transformer models (GPTs) are now all the rage and have inspired op-eds being written by everyone from Henry Kissinger (WSJ) to Noam Chomsky (NYTimes) in just the last month. That sure is some hype level.
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A Proposal For the Dartmouth Summer Research Project on A.I. (1955)
A PROPOSAL FOR THE DARTMOUTH SUMMER RESEARCH PROJECT ON ARTIFICIAL INTELLIGENCE
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Scaling Down Deep Learning
A blog by Sam Greydanus
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AI is an elite crime spree
Documents show a Microsoft exec called AI the "largest theft of labor in human history.” New AI regulations are besides the point, the problem is we don’t apply existing laws to the powerful.
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Troubling Trends in Machine Learning Scholarship
By Zachary C. Lipton* & Jacob Steinhardt* *equal authorship Originally presented at ICML 2018: Machine Learning Debates [arXiv link] Published in Communications of the ACM 1 Introduction Collectively, machine learning (ML) researchers are engaged in
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Photos from Crude Sketches: Nvidia's GauGAN Explained Visually
In this article I'll be explaining how GauGAN converts simple blobs of color into photorealistic paintings of landscapes.
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Audio Adversarial Examples
Figure from our paper: given any waveform, we can modify it slightly to produce another (similar) waveform that transcribes as any different target phrase.
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A simplified Python simulation of diffusion
Understanding the real world is not always easy. A Python simulation can help. And let's find ways of making it efficient, too.
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The many ways that digital minds can know – A better way to think about LLMs
LLMs do all the things people say they do at once, even if those people vociferously disagree, and they’re all useful.
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Machine Learning: A Love Story
The video from my keynote at Strange Loop 2010 is up! You can watch the video here: Machine Learning: A Love Story The original abstract: Machine learning has come a long way in recent years — from…
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OpenAI is a systemic risk to the tech industry
Before we go any further: I hate to ask you to do this, but I need your help — I'm up for this year's Webbys for the best business podcast award. I know it's a pain in the ass, but can you sign up and vote for Better