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The most popular blog posts about ai & machine learning on Hacker News. 6,331 posts.
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…
Testing Andrew Ng's document extraction service reveals over 50% hallucinated values in financial tables. | Pulse AI
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.
A PROPOSAL FOR THE DARTMOUTH SUMMER RESEARCH PROJECT ON ARTIFICIAL INTELLIGENCE
I have a new draft paper with Aylin Caliskan-Islam and Joanna Bryson titled Semantics derived automatically from language corpora necessarily contain human biases. We show empirically that natural language necessarily contains human biases, and the paradigm of training machine learning on language corpora means that…
Of 1,826 citations Perplexity's search models attached to a sentence stating a figure, 34.7% pointed at a page that either would not open or did not contain a single figure from that sentence; scored per claim rather than per citation, 14.4% of 872 claims fail.
Our latest language model, Stable LM 3B, is a compact language model designed to operate on portable digital devices like handhelds and laptops.
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.
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
In this article I'll be explaining how GauGAN converts simple blobs of color into photorealistic paintings of landscapes.
Figure from our paper: given any waveform, we can modify it slightly to produce another (similar) waveform that transcribes as any different target phrase.
Understanding the real world is not always easy. A Python simulation can help. And let's find ways of making it efficient, too.
LLMs do all the things people say they do at once, even if those people vociferously disagree, and they’re all useful.
You can choose among multiple artificial intelligence (AI) frameworks to develop AI algorithms. You also have a choice of a wide range of hardware to train and deploy AI models. The diversity of frameworks and hardware is crucial to maintaining the health of the AI ecosystem. This diversity, however, also introduces…
Sketch-RNN, a generative model for vector drawings, is now available in Magenta. For an overview of the model, see the Google Research blog fromApril 2017, ...
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…
Responsible Release of AI-Generated Mathematics September 29, 2026 Back to main page Download PDF At present, some frontier AI labs are testing advanced mathematical problems on proprietary models …
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
This is the fourth…and LAST…entry in my series of blog posts analyzing the accuracy of Ray Kurzweil’s predictions about what things would be like in 2019. These predictions come from hi…
Explore the intriguing history of Eliza, a pioneering chatbot, and learn how to implement a basic version in Go, unraveling the roots of conversational AI.
The workflow that's changing how software gets built.
We're committing $200 million in grants, Claude credits, and technical support for global health, life sciences, education, and economic mobility programs.
We're post-tokenmaxxing. What are we pre-? How do we get there?
Frameworks for LLM Agents have been surprisingly disappointing. I want to offer some principles for building agents based on our own trial & error, and…
This week, I went to the tinyML Summit in Burlingame, Calif. TinyML, or running small machine learning models on constrained devices, is one of the most exciting technologies I’ve encountered. But it’s also the one most likely to put people to sleep when I talk about it. Using local computing to handle object or even…
