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Curtis Northcutt
Personal blog · l7.curtisnorthcutt.comaihardware
Curtis Northcutt writes L7, a personal blog at l7.curtisnorthcutt.com about ai and hardware. Since 2019, 6 different Hacker News readers have linked it 12 times, most often “Introduction to Confident Learning: Finding and Learning with Errors in Datasets”. The last post was in 2021, but the archive is still widely read.
Too few sampled comments (3) to say how often HN recommends it.?
Why HN links it
Linked by an HN commenter as a guide to building a 4-GPU deep learning workstation for about $7,000, cited in a point about renting cloud Macs versus buying hardware.
Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
L7 is a place for machine learning and human learning.
Most-linked posts?
- Introduction to Confident Learning: Finding and Learning with Errors in Datasets2 people · 3 mentions · first linked 2019-11-04
- /the-best-4-gpu-deep-learning-rig2 people · 2 mentions · first linked 2020-02-24
- I built Lambda's $12,500 4-GPU deep learning rig for $6200. Now you can, too2 people · 2 mentions · first linked 2019-02-13
What Hacker News says?
- Or AMD could change their policy of 'never miss an opportunity to miss an opportunity' and offer high-performance OpenCL GPGPU offerings. Then nVidia could have all the stroke they wanted. - Or Tensorflow/Pytorch could've crapped on OpenCL a little less by releasing a fully functional OpenCL version everytime they released a fully functional Cuda version, instead of worshipping Cuda year in and year out. - Or Goog…
Comment linking /the-best-4-gpu-deep-learning-rig
on “Andreessen-Horowitz craps on “AI” startups from a great height”Submitted Introduction to Confident Learning: Finding and Learning with Errors in Datasets as a story · 27 points
HN discussionThis is also why machine learning scientists should build their own GPU workstations and servers. Someone did the calculations: https://www.reddit.com/r/MachineLearning/comments/9iqcr3/d_w... This guy built a 4 x 2080 ti workhorse for 7,000 USD, and it would probably be even cheaper now: https://l7.curtisnorthcutt.com/the-best-4-gpu-deep-learning-...
Comment linking /the-best-4-gpu-deep-learning-rig
on “Amazon’s cloud Macs cost $25.99 a day. 77 days of usage would buy you your own”Submitted I built Lambda's 4-GPU deep learning rig for $4000 cheaper as a story · 7 points
HN discussionHi HN! One of the authors here. We found pervasive errors in the test sets of 10 of the most commonly used benchmark ML datasets, so we made labelerrors.com where anyone can examine the data labels. We think it’s neat to browse through the errors to get an intuitive sense of what kinds of things go wrong (e.g. completely mixed-up labels, like a frog being labeled “cat”, or situations where an image contains multiple…
Comment linking /label-errors
on “Show HN: Label errors in benchmark ML test sets”Submitted Benchmarking All 34 Keras-TensorFlow and PyTorch Pre-Trained Models as a story · 3 points
HN discussionHi, friends. With NeurIPS behind us and ICML ahead, maybe you want to do some deep learning. Inspired by Justin Johnson's original work benchmarking the older GTX GPUs, I extended this work to the new RTX GPUs with benchmarks for most ResNet architectures on ImageNet and CIFAR. Along the way, I discovered a dramatic difference in performance based on how you position your GPUs. Enjoy :) Benchmarking post: https://l7…
Comment linking /gpu-positioning
on “Simple trick to double deep learning speed and CNN and GPU Benchmarks”Submitted I built Lambda's $12,500 4-GPU deep learning rig for $6200. Now you can, too as a story · 3 points
HN discussionHi, Hackers. I'm excited to share confident learning for characterizing, finding, and learning with label errors in datasets. To promote and standardize future research in learning with noisy labels and weak supervision, I've also open-sourced the cleanlab Python package: https://pypi.org/project/cleanlab/ Post: https://l7.curtisnorthcutt.com/confident-learning Paper: https://arxiv.org/abs/1911.00068 Code: https://g…
Comment linking /confident-learning
on “Announcing Confident Learning: Finding and Learning with Dataset Label Errors”Submitted Announcing Confident Learning: Finding and Learning with Dataset Label Errors as a story · 2 points
HN discussionSubmitted Build a Pro Deep Learning Workstation for Half the Price as a story · 1 points
HN discussion