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Crimes against transhumanity
(Disclaimer: I am a transhumanist skeptic these days, not to mention a singularity curmudgeon and a critic of Mars colonization, but I still find these ideas nice to chew on sometimes.)
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 301 posts.
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Amazon releases 51-language dataset for language understanding
MASSIVE dataset and Massively Multilingual NLU (MMNLU-22) competition and workshop will help researchers scale natural-language-understanding technology to every language on Earth.
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Accurate Image Alignment and Registration Using OpenCV
The image alignment and registration pipeline takes two input images that contain the same scene from slightly different viewing angles. The picture above displays both input images side by side with the common scene (object) being the painting Las Meninas (1656) by Velázquez, currently at the Museo del Prado in…
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Using GPT-3 to pathfind in random graphs
I wondered how GPT-3 might do on the following problem: given a partially-connected graph, find a path between two nodes, or determine that no path exists. I wrote some code to automate generating …
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LeCun's 2022 paper on autonomous machine intelligence does not cite prior work
1990: gradient descent learns subgoals. 1991: multiple time scales and levels of abstraction. 1997: world models learn predictable abstract representations...
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Laion-5B: A new era of open large-scale multi-modal datasets
We present a dataset of 5,85 billion CLIP-filtered image-text pairs, 14x bigger than LAION-400M, previously the biggest openly accessible image-text dataset…
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An automatic theorem proving project
I am very happy to say that I have recently received a generous grant from the Astera Institute to set up a small group to work on automatic theorem proving, in the first instance for about three y…
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A few things to try with DALL·E
Lighting, perspective, variation chaining, and other tricks to try with DALL·E.
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A gentle introduction to automated reasoning
Meet Amazon Science’s newest research area.
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A Minimalist Guide To Program Synthesis
a bare minimum introduction to modern program synthesis
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Differentiable Programming – A Simple Introduction
What is Differentiable Programming, and how is it different from Deep Learning? Check out this introduction to learn everything you need to know!
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Stable Diffusion on AMD RDNA3
A AMD oferece soluções de computação adaptativa e de alto desempenho de liderança para promover IA de data center, PCs com IA, dispositivos de borda inteligentes, jogos e muito mais.
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AI solves Advent of Code 2022
I will try to solve all of the advent of code with as little human input as possible
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Reverse Engineering Google Colab
Take a peek into the internals of Google Colab, and discover how we can bend the rules of Colab a little in order to adapt it to our MLOps workflow
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New theory proposes ‘forgetting’ is a form of learning
The scientists behind the new theory suggest that rather than being a bug, forgetting may be a functional feature of the brain, allowing it to interact dynamically with the environment to enhance decision-making.
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PyTorch on Apple M1 MAX GPUs with SHARK – faster than TensorFlow-Metal
A AMD oferece soluções de computação adaptativa e de alto desempenho de liderança para promover IA de data center, PCs com IA, dispositivos de borda inteligentes, jogos e muito mais.
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Learning to think critically about machine learning
Graduate students are helping to infuse ethical computing content into MIT’s largest machine learning course, as part of the Social and Ethical Responsibilities of Computing initiative.
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DALL-E, the Metaverse, and Zero Marginal Content
Machine-learning generated content has major implications on the Metaverse, because it brings the marginal cost of production to zero.
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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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Data2vec 2.0: Highly efficient self-supervised learning for vision, speech, text
We created data2vec 2.0, a general self-supervised AI algorithm for speech, vision, and text that can train models 16x faster than the most popular existing algorithm for images while achieving the same accuracy.
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Claims AI can boost workplace diversity are ‘spurious and dangerous’
Research highlights growing market in AI-powered recruitment tools that claim to bypass human bias to remove discrimination from hiring.
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