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The most popular blog posts about ai & machine learning on Hacker News. 301 posts.
Two acquaintances independently asked about this today, so it seems worth a write-up: recently (as of this writing), DeepMind published a new paper about a new practical fast matrix multiplication …
Pixelmator Pro is a powerful, easy-to-use image editor that brings professional tools and powerful AI features to everyone across Mac and iPad.
Bunny.net introduces Bunny AI, a multi-model image engine creating images via simple URLs. Powered by OpenAI and StabilityAI, Bunny AI generates dynamic profile avatars and more. Try it free in our experimental release and help us shape the future of internet performance!
A huge milestone towards Elixir and Machine Learning has been reached with the release of Nx v0.1
Enter in code and inputs, GPT-3 will compute you the output!
If you’ve been on the internet at all lately, you’ve seen AI generated art and discussion of the impact of the tools. You’ve also probably seen a lot of hate for AI generated art. There’s a lot of drama going on, as art focused communities across the internet decide how to handle this. Does AI generated/assisted art…
Constant Meiring - Technology Product Builder
AI has moved at an incredible pace in the last few years. Scaling up Transformers has led to remarkable capabilities in language (e.g., GPT-3, PaLM, Chinchilla), code (e.g., Codex, AlphaCode), and image generation (e.g., DALL-E, Imagen).
In the quest to explore the capabilities of ChatGPT, I decided to utilized it as a startup brainstorming partner. From product description to building the product on AWS and GCP, crafting an elevat...
I was on the job market recently, open to suggestions on what I should do next. I'm deeply thankful to all those who reached out and pitched their companies, and also to people who shared their wisdom of how they wanted to navigate their own careers.
I went on a real vacation, and created photos of a fake vacation using DALL-E 2. Most people couldn't tell the difference.
Clever Hans and how corporate AI plays the media, in 2022
Under unsupervised learning, all the objects in the same group (cluster) should be more similar to each other than to those in other clusters; data points from different clusters should be as different as possible. Clustering allows you to find and organize data into groups that have been formed organically, rather…
Bumble has made an open-source version of our Private Detector™ A.I. technology available on GitHub.
How does OpenAI's groundbreaking DALL-E 2 model actually work? Check out this detailed guide to learn the ins and outs of DALL-E 2.
I wanted to share the attached paper on choice prediction that I recently co-authored with Itamar Simonson in case it’s of interest.
Machine learning is a subfield of artificial intelligence (AI) and computer science that focuses on using data and algorithms to mimic the way people learn, progressively improving its accuracy. This way, Machine Learning is one of the most interesting methods in Computer Science these days, and it'
This image was created by an AI, MidJourney. All I had to do was type in a prompt (“wildfire”) and aspect ratio. This AI is pretty good, but nowhere near the state of the art, and AI like it are, over the next few years, going to make art like this available within seconds at […]
Nvidia is in the valley in terms of gaming, the data center, and the omniverse; if it makes it to future heights its margins will be well-earned.
Neuroscientists often use neural networks to model the kind of tasks the brain performs, in hopes that the models could suggest new hypotheses regarding how the brain itself performs those tasks. But a group of MIT researchers urges that more caution should be taken when interpreting these models.
Run your own text to image prompts with CUDA, a bunch of disk space, and an insane amount of memory.
Posted by Sharan Narang and Aakanksha Chowdhery, Software Engineers, Google Research In recent years, large neural networks trained for language un...
I have a little secret: I don’t like the terminology, notation, and style of writing in statistics. I find it unnecessarily complicated. This shows up when trying to read about Markov Chain Monte Carlo methods. Take, for example, the abstract to the Markov Chain Monte Carlo article in the Encyclopedia of…
We've put together an index of testing terms and articles, covering many of the basics of testing and definitions for common searches.
From Data to Daily Life
A few years ago, I worked on a project to investigate the potential of machine learning to transform healthcare through modeling electronic medical records. I walked away deeply disillusioned with the whole field and I really don’t think that the field needs machine learning right now. What it does need is plenty of…
