Hacker News: gaussdiditfirst

New comment by gaussdiditfirst in "Hallucination Risk Calculator"

gaussdiditfirst — Tue, 16 Sep 2025 17:21:44 +0000

Ya I saw no comparison with other methods in the paper, which is odd for a ML paper.

New comment by gaussdiditfirst in "An open-source framework for data-centric AI"

gaussdiditfirst — Wed, 04 Jan 2023 09:49:50 +0000

Learn more about data-centric AI from Andrew Ng:

https://spectrum.ieee.org/andrew-ng-data-centric-ai

https://datacentricai.org/

New comment by gaussdiditfirst in "An open-source framework for data-centric AI"

gaussdiditfirst — Wed, 04 Jan 2023 09:47:11 +0000

We are looking for more contributors to cleanlab in 2023. Help shape the future of data-centric AI and ensure it remains free software, especially if you love Python and practical tools for real-world data science!

New comment by gaussdiditfirst in "An open-source framework for data-centric AI"

gaussdiditfirst — Wed, 04 Jan 2023 09:46:59 +0000

Beyond feature engineering, data-centric AI can help in Kaggle. This notebook shows how easily cleanlab can improve the training dataset for an XGBoost model, producing 12% reduction in error without any change to the existing model+training+data-processing code:

https://www.kaggle.com/code/ulytkch/cleanlab-data-centric-ai...

New comment by gaussdiditfirst in "An open-source framework for data-centric AI"

gaussdiditfirst — Wed, 04 Jan 2023 09:46:31 +0000

Senior data scientists know great ROI in real-world ML projects comes from finding/fixing issues in the dataset rather than tinkering too much with models. But this is done manually today via ad hoc scripts (Jupyter notebooks). In data-centric AI, we also use software that can automatically detect data issues (mislabeled examples, outliers, etc) to make all this more systematic (better coverage, reproducibility, efficiency, etc). While some companies are starting to offer commercial platforms for data-centric AI, cleanlab is: fully open-source, a complete software framework that can be used for many data-types and ML tasks, and I've published all of the novel algorithms cleanlab uses to help you improve messy real-world ML datasets.

In one-line of python, cleanlab can automatically:

(1) find mislabeled data + train robust models (2) detect outliers (3) estimate consensus + annotator-quality for datasets labeled by multiple annotators (4) suggest which data is best to label or re-label next (active learning)

It has quick 5min tutorials for many types of data (image, text, tabular, audio, etc) and ML tasks (classification, entity recognition, image/document tagging, etc).

Engineers used cleanlab at Google to clean and train robust models on speech data, at Amazon to estimate how often the Alexa device doesn’t wake, at Wells Fargo to train reliable financial prediction models, and at Microsoft, Tesla, Facebook, etc. Hopefully you'll find cleanlab useful in your ML applications, it's super easy to try out!

An open-source framework for data-centric AI

gaussdiditfirst — Wed, 04 Jan 2023 09:46:31 +0000

Article URL: https://github.com/cleanlab/cleanlab

Comments URL: https://news.ycombinator.com/item?id=34243795

Points: 4

# Comments: 4

New comment by gaussdiditfirst in "Ray Kurzweil: AI is still on course to outpace human intelligence"

gaussdiditfirst — Tue, 22 Jan 2019 01:41:53 +0000

Check out Rodney Brooks' blog to see some predictions from somebody who actually has at least some idea of what they're talking about:

https://rodneybrooks.com/predictions-scorecard-2019-january-...

However as the ML researcher Michael Jordan (one of the most important in the field) has previously stated, these sort of long-term technology predictions are just fun science fiction and there is essentially no academic rigor in this stuff:

https://medium.com/@mijordan3/artificial-intelligence-the-re...

New comment by gaussdiditfirst in "Waymo CEO Says Alphabet Unit Plans to Launch Driverless Car Service"

gaussdiditfirst — Thu, 15 Nov 2018 05:05:39 +0000

Launching in Phoenix only; for anyone whose never been there, the roads are straight & wide with extremely sparse car/foot-traffic and zero bad weather days. For those living in actual big US cities, don't hold your breath that this service will launch anytime soon for you...

Kernel Embedding of Distributions

gaussdiditfirst — Sat, 15 Feb 2014 17:06:22 +0000

Article URL: https://en.wikipedia.org/wiki/Kernel_embedding_of_distributions

Comments URL: https://news.ycombinator.com/item?id=7244351

Points: 13

# Comments: 3

New comment by gaussdiditfirst in "Hemingway makes your writing bold and clear"

gaussdiditfirst — Wed, 12 Feb 2014 19:35:10 +0000

Great idea, I can think of many ways this sort of app could be extended to improve sentence structure via a number of other heuristics you might find mentioned in a grammar book.

New comment by gaussdiditfirst in "Widespread sex differences in gene expression in the human brain (2013)"

gaussdiditfirst — Wed, 12 Feb 2014 06:14:05 +0000

There is currently very little evidence linking the measured expression of specific genes in the brain with phenotypic traits such as personality. Scientists find it hard enough even to link almost certainly genetic attributes (such as various cancers and other disease) to a consistent set of genes in analyses of differential gene expression.

New comment by gaussdiditfirst in "Today is The Day We Fight Back"

gaussdiditfirst — Wed, 12 Feb 2014 06:08:16 +0000

Great to see this being done. I wonder what number of emails a typical member of Congress must receive before they take note of an issue. Furthermore, how many emails does it take to sway their opinion on said issue, or are dollars the only medium that can induce the wild thought of reevaluating one's perspective.