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Cursor is now a part of SpaceX
Cursor has officially been acquired by SpaceX.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,334 posts.
5912
Why I stopped working on the Bongard Problems
Please note: this text was written in the summer of 2007, and explains why I, the author, took a long respite from working on my research topics, after the summer of 2006. At the time when I wrote this, and up until around 2011, I had really stopped my research — so the title was correct up to then. Later, after 2011…
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Reflections on software engineering in the age of AI
For those of you who don’t know, when I’m not writing novels, I spend my days as a software engineer, writing code. The software industry these days relies heavily on artificial intelligence. Because it has studied trillions of lines of publicly accessible source code, because code solves problems with testable right…
5914
Can Claude Fly a Plane?
I asked Claude to look up the X-Plane 12 API and try to fly a Cessna from Hainan to somewhere nearby. It kept a pilot's log. Everything below is Claude's own notes from during the flight. I occasionally had to remind it to keep the pilot log running, and had to tell it when it crashed as xplane would quickly restart…
5915
Our framework for reporting model misalignment
OpenAI shares a framework for tracking, investigating, and disclosing model misalignment, alongside six reports of unexpected or concerning model behavior.
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Lessons from interviews on deploying AI Agents in production
Discover how agentic AI startups are scaling in the enterprise — with data, pricing insights, and lessons from 70+ founders and practitioners.
5917
Changing my relationship with GitHub Copilot
I've been using GitHub Copilot on personal projects since March. It's been an interesting experience, and one that I realized I have to change. Using Copilot nearly full time has had some positive and negative impacts on me, and it's time to take control of how I interact with it.
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Alignment is capability
Alignment is not a constraint on capable AI systems. Alignment is what capability is at sufficient depth. OpenAI and Anthropic have been running this experiment for two years.
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Q* Hypothesis: Enhancing Reasoning, Rewards, and Synthetic Data
Emergency special: The information we need to understand what Q* is was right in front of us, but the memes are more fun than reality.
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Potemkin Data Science (2020)
Huge swathes of people, in Europe and North America in particular, spend their entire working lives performing tasks they secretly believe…
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How NASA Is Using Graph Technology and LLMs to Build a People Knowledge Graph
Missed NASA’s People Graph webinar? Catch the recap and see how graph technology and AI are shaping the future of workforce intelligence.
5924
Building the Future of TensorFlow
The TensorFlow roadmap for 2023 and beyond
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Finding the genre of a song with Deep Learning
A step-by-step guide to make your computer a music expert.
5927
Using Self-Organizing Maps to Solve the Traveling Salesman Problem
Using Self-Organizing Maps to solve the Traveling Salesman Problem The Traveling Salesman Problem is a well known challenge in Computer Science: it consists on finding the shortest route possible that traverses all cities in a given map only once. Although its simple explanation, this problem is, indeed, NP-Complete…
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Vision Transformers (ViT) Explained
A deep dive into the unification of NLP and computer vision with the Vision Transformer (ViT).
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Against vibes: When is a generative model useful
Let's suppose I wanted to answer a question: is the tool X useful for the task Y. If I were scientific about this, I would analyze the properties of tool X and develop a model, and the task Y and the requirements for it and develop a model, and I would us...
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Do wide and deep networks learn the same things?
Posted by Thao Nguyen, AI Resident, Google Research A common practice to improve a neural network’s performance and tailor it to available computat...
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A Mathematical Framework for Transformer Circuits (2021)
Transformer language models are an emerging technology that is gaining increasingly broad real-world use, for example in systems like GPT-3 , LaMDA , Codex , Meena , Gopher , and similar models. However, as these models scale, their open-endedness and high capacity creates an increasing scope for unexpected and…
5934
Deep Learning to Federated Learning in 10 Lines of PyTorch and PySyft
Update as of November 18, 2021: The version of PySyft mentioned in this post has been deprecated. Any implementations using this older version of PySyft are…
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Deep Learning Algorithms: The Complete Guide
All the essential Deep Learning Algorithms you need to know including models used in Computer Vision and Natural Language Processing
5938
Building a neural network in pure Lisp using only atoms and lists
A neural network written in pure Lisp without built-in numbers using only atoms and lists in SectorLISP, a 512-byte Lisp interpreter written by the authors of the SectorLISP project.
5939
Semantic Search with SQLite
txtai is an all-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
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Chrome experimental AI features
Three experimental generative AI features are coming to Chrome on Macs and Windows PCs to make browsing easier and more personalized.