Lessons Learned from Benchmarking Fast Machine Learning Algorithms
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The most popular blog posts about ai & machine learning on Hacker News. 6,329 posts.
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Find Bayes' Theorem confusing? Let's break down this famous formula using Lego to help you build up a better intuition for this foundational concept!
Over the last six months, a powerful new neural network playbook has come together for Natural Language Processing. The new approach can be summarised as a simple four-step formula: embed, encode, attend, predict. This post explains the components of this new approach, and shows how they're put together in two recent…
A blog about game engines, graphics, C++, and more.
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
AI companies are causing a content drought that will eventually starve them.
That mythology, in turn, has spurred a reactionary, perpetual spasm from people who are horrified by what they hear. You'll have a figure say, "The computers will take over the Earth, but that's a good thing, because people had their chance and now we should give it to the machines." Then you'll have other people say…
As AI creative tools are becoming widespread, the question of copyright of AI creations has also taken centre-stage. But while copyright nerds obsess over the authorship question, the issue that is…
2020 has been a heap of bad. And not small bad either. As we’ve been stuck at home, viewing the world through either real or virtual…
I break down the logic behind the company's towering price tag and why I think the most valuable AI companies have yet to be built.
Learn how alien intelligence connects to human intelligence through science and technology using the Principle of Computational Equivalence, the ruliad, rulial space, tiny spacecraft and the Wolfram Language.
Auto-Fixing Bugs from Asana (for 9 cents!)
The Race for AI Progress In 2019, Richard Sutton, wrote his groundbreaking essay titled ‘The Bitter Lesson’. Simply put, the essay concludes that systems which get better with higher compute beat the systems that do not. Or specifically in AI: raw computing power consistently wins over intricate human-designed…
I think we have an answer on whether AIs will reshape work....
What happens to programming languages when humans are no longer writing most of the code?
A Caesar cipher is a reasonable transformation for a transformer to learn in its weights, given that a specific cipher offset occurs often enough in its training data. There will be some hidden representation of the input tokens' spelling, and this representation could be used to shift letters onto other letters in…
In industry-standard tests of AI inference, NVIDIA H100 GPUs set world records, A100 GPUs showed leadership in mainstream performance and Jetson AGX Orin led in edge computing.
How continuous learning shapes effective software development with LLMs
A. Karpathy once said that OpenAI researchers are effectively "automating themselves away" by improving their AI. Right now I develop Beagle SCM with Anthropic's Fable and it is of course a brilliant model able to spot nits in a mountain of code, file tickets, make fixes. Still, yesterday it managed to commit the…
LOS ANGELES, CA, December 20, 2022 — Deep Voodoo, the artificial intelligence entertainment startup formed by Trey Parker and Matt Stone, announced today that it has secured a $20 million investment led by Connect Ventures, an investment partnership between leading entertainment and sports agency Cr
Read about Qodo scores 71.2% on SWE-bench Verified in our blog.
We trained an MLP that predicts 58 body shape parameters from 8 questionnaire inputs. The trick: a differentiable physics loss. Mass accuracy: 0.3 kg mean vs 3.9 kg for Ridge. No GPU at inference.
If you’ve been on the internet today, you’ve probably interacted with a neural network. They’re a type of machine learning algorithm that’s used for everything from language translation to finance modeling. One of their specialties is image recognition. Several companies - including Google, Microsoft, IBM, and…
Discover how prover-verifier games improve the legibility of language model outputs, making AI solutions clearer, easier to verify, and more trustworthy for both humans and machines.
Research portfolio and personal page for Jason Yosinski
Artificial production of human speech is known as speech synthesis. This machine learning-based technique is applicable in text-to-speech, music generation, speech generation, speech-enabled devices, navigation systems, and accessibility for visually-impaired people. In this article, we’ll look at research and model……