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Programmer salaries in the age of LLMs
Milky Eggs
New
The latest blog posts to take off on Hacker News. 3,092 posts.
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Reverse engineering a neural network's clever solution to binary addition
While training small neural networks to perform binary addition, a surprising solution emerged that allows the network to solve the problem very effectively. This post explores the mechanism behind that solution and how it relates to analog electronics.
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Bayesian statistics and machine learning: How do they differ?
My colleagues and I are disagreeing on the differentiation between machine learning and Bayesian statistical approaches. I find them philosophically distinct, but there are some in our group who would like to lump them together as both examples of machine learning. I have been favoring a definition for Bayesian…
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Use.GPU Goes Trad
Old is new again
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ChatGPT Can't Kill Anything Worth Preserving
If an algorithm is the death of high school English, maybe that's an okay thing.
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Wolfram Alpha and ChatGPT
Accessing Wolfram|Alpha's computational knowledge with ChatGPT--an ideal combination of precise computation with human-like expression of ideas. Stephen Wolfram explains how.
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How to Optimize a CUDA Matmul Kernel for CuBLAS-Like Performance: A Worklog
In this post, I’ll iteratively optimize an implementation of matrix multiplication written in CUDA.My goal is not to build a cuBLAS replacement, but to deepl...
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The expanding dark forest and generative AI
Proving you're a human on a web flooded with generative AI content
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Three-eyed forehead in Stable Diffusion
Computers, Machine Learning and non-machine learning
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Infinite AI Array
making new string and list classes that call gpt3 under the hood so you can access elements beyond the final one. no more index errors!
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Remaking old computer graphics with AI image generation
Can AI Image generation tools make re-imagined, higher-resolution versions of old video game graphics? Over the last few days, I used AI image generation to reproduce one of my childhood nightmares. I wrestled with Stable Diffusion, Dall-E and Midjourney to see how these commercial AI generation tools can help retell…
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AI: Markets for Lemons, and the Great Logging Off
What happens when most "people" you interact with on the internet are fake?
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Run Stable Diffusion natively on your Mac
Describe the image you want, and the app makes it for you.
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What ChatGPT can't do
Mimicry but not thought, sophistry but not understanding
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OpenAI's Woke Catechism
How a Few Activists Made ChatGPT Deny Basic Science
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Do simpler machine learning models exist and how can we find them?
The above is the title of a talk by computer scientist Cynthia Rudin. here’s the abstract:
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Copilot Internals
Hacky repo to see what the Copilot extension sends to the server
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I Asked ChatGPT to Explain Some Jokes to Me
Explaining a joke is like dissecting a frog. You understand it better but the frog dies in the process.
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How does GPT obtain its ability? Tracing emergent abilities of language models
Made in Notion, the connected workspace where AI agents and teams organize docs, projects and knowledge together.
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The GPT Architecture, on a Napkin
There are so many brilliant posts on GPT-3, demonstrating what it can do , pondering its consequences , vizualizing how it works . With all these out there, it still took a crawl through several papers and blogs before I was confident that I had grasped the architecture.
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Disputing a Parking Fine with ChatGPT
A use case for ChatGPT
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ChatGPT, Rot13, and Daniel Kahneman
I thought it would be interesting to see whether ChatGPT could solve some basic ciphers (Caesar, Vignere, etc.). I decided to start at the bottom, with perhaps the easiest possible cipher: rot13. I asked it to decode the rot-13 encoding of “Why did the chicken cross the road”: So the first thing to note here is that…