<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: datascientist</title><link>https://news.ycombinator.com/user?id=datascientist</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sun, 01 Nov 2026 12:09:46 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=datascientist" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[AI, Lean, and the Future of Formal Verification, with Lean Creator Leo de Moura]]></title><description><![CDATA[
<p>Article URL: <a href="https://thedataexchange.media/leo-de-moura-lean-aws/">https://thedataexchange.media/leo-de-moura-lean-aws/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50290652">https://news.ycombinator.com/item?id=50290652</a></p>
<p>Points: 208</p>
<p># Comments: 50</p>
]]></description><pubDate>Thu, 29 Oct 2026 15:29:48 +0000</pubDate><link>https://thedataexchange.media/leo-de-moura-lean-aws/</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=50290652</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50290652</guid></item><item><title><![CDATA[New comment by datascientist in "Gene Hackman has died"]]></title><description><![CDATA[
<p>Mississippi Burning is one my favorite films <a href="https://en.wikipedia.org/wiki/Mississippi_Burning" rel="nofollow">https://en.wikipedia.org/wiki/Mississippi_Burning</a></p>
]]></description><pubDate>Thu, 27 Feb 2025 20:19:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=43198024</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=43198024</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43198024</guid></item><item><title><![CDATA[New comment by datascientist in "[dead]"]]></title><description><![CDATA[
<p>alternative link:   <a href="http://archive.today/PJIHr" rel="nofollow">http://archive.today/PJIHr</a></p>
]]></description><pubDate>Mon, 13 Jan 2025 23:59:54 +0000</pubDate><link>https://news.ycombinator.com/item?id=42691326</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=42691326</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42691326</guid></item><item><title><![CDATA[New comment by datascientist in "Ending our third party fact-checking program and moving to Community Notes model"]]></title><description><![CDATA[
<p><a href="https://gradientflow.com/the-moderation-dilemma-a-balanced-look-at-fact-checkers-vs-community-notes/" rel="nofollow">https://gradientflow.com/the-moderation-dilemma-a-balanced-l...</a></p>
]]></description><pubDate>Wed, 08 Jan 2025 02:08:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=42630151</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=42630151</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42630151</guid></item><item><title><![CDATA[New comment by datascientist in "DataChain: DBT for Unstructured Data"]]></title><description><![CDATA[
<p>How does this relate to  <a href="https://github.com/lancedb/lance">https://github.com/lancedb/lance</a></p>
]]></description><pubDate>Tue, 05 Nov 2024 01:29:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=42047826</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=42047826</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42047826</guid></item><item><title><![CDATA[New comment by datascientist in "The Open Source AI Definition RC1 Is Available for Comments"]]></title><description><![CDATA[
<p>also see <a href="https://gradientflow.com/open-source-principles-in-foundation-models/" rel="nofollow">https://gradientflow.com/open-source-principles-in-foundatio...</a></p>
]]></description><pubDate>Wed, 09 Oct 2024 19:29:39 +0000</pubDate><link>https://news.ycombinator.com/item?id=41791727</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=41791727</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41791727</guid></item><item><title><![CDATA[New comment by datascientist in "The Dual LLM pattern for building AI assistants that can resist prompt injection"]]></title><description><![CDATA[
<p>Alignment is hard:  "If the LLM has finite probability of exhibiting negative behavior, there exists a prompt for which the LLM will exhibit negative behavior with probability 1."
Source: Fundamental Limitations of Alignment in LLMs <a href="https://arxiv.org/abs/2304.11082" rel="nofollow">https://arxiv.org/abs/2304.11082</a></p>
]]></description><pubDate>Mon, 15 May 2023 17:53:21 +0000</pubDate><link>https://news.ycombinator.com/item?id=35951957</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=35951957</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=35951957</guid></item><item><title><![CDATA[New comment by datascientist in "Laion-5B: A new era of open large-scale multi-modal datasets"]]></title><description><![CDATA[
<p>Creators of the data quality tool for computer vision, fastdup, continue to improve on their free release  <a href="https://github.com/visual-layer/fastdup" rel="nofollow">https://github.com/visual-layer/fastdup</a><p>Here's a short video of some recent results for LAION 400M <a href="https://www.youtube.com/watch?v=dlRCm29Upu4" rel="nofollow">https://www.youtube.com/watch?v=dlRCm29Upu4</a></p>
]]></description><pubDate>Tue, 13 Dec 2022 02:38:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=33963996</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=33963996</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=33963996</guid></item><item><title><![CDATA[New comment by datascientist in "Airflow's Problem"]]></title><description><![CDATA[
<p>Recent perspectives from the creators of Prefect, Dagster, Flyte, and Orchest
=> <a href="https://gradientflow.com/summer-of-orchestation/" rel="nofollow">https://gradientflow.com/summer-of-orchestation/</a></p>
]]></description><pubDate>Tue, 02 Aug 2022 18:13:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=32322316</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=32322316</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=32322316</guid></item><item><title><![CDATA[New comment by datascientist in "Comprehensive Guide on Data Visualization with Pandas"]]></title><description><![CDATA[
<p>If you need to scale out or speedup pandas, there's Modin  <a href="https://modin.readthedocs.io/en/latest/" rel="nofollow">https://modin.readthedocs.io/en/latest/</a> (which uses Ray from)</p>
]]></description><pubDate>Mon, 16 Sep 2019 15:46:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=20985242</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=20985242</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=20985242</guid></item><item><title><![CDATA[New comment by datascientist in "Neural Networks, Manifolds, and Topology (2014)"]]></title><description><![CDATA[
<p>Gunnar Carlsson will be teaching a related tutorial ("Using topological data analysis to understand, build, and improve neural networks") on April 16th in New York City  <a href="https://conferences.oreilly.com/artificial-intelligence/ai-ny/public/schedule/detail/73123" rel="nofollow">https://conferences.oreilly.com/artificial-intelligence/ai-n...</a></p>
]]></description><pubDate>Tue, 12 Feb 2019 22:38:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=19148386</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=19148386</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=19148386</guid></item><item><title><![CDATA[New comment by datascientist in "Building an AlphaZero AI using Python and Keras"]]></title><description><![CDATA[
<p>RISE Lab's Ray platform (now includes RLlib) is another option  <a href="https://www.oreilly.com/ideas/introducing-rllib-a-composable-and-scalable-reinforcement-learning-library" rel="nofollow">https://www.oreilly.com/ideas/introducing-rllib-a-composable...</a></p>
]]></description><pubDate>Sat, 27 Jan 2018 04:30:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=16244872</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=16244872</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=16244872</guid></item><item><title><![CDATA[New comment by datascientist in "PyTorch – Tensors and Dynamic neural networks in Python"]]></title><description><![CDATA[
<p>Chainer's Define-by-run apporach is also described here  <a href="https://www.oreilly.com/learning/complex-neural-networks-made-easy-by-chainer" rel="nofollow">https://www.oreilly.com/learning/complex-neural-networks-mad...</a></p>
]]></description><pubDate>Tue, 24 Jan 2017 02:59:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=13468459</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=13468459</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=13468459</guid></item><item><title><![CDATA[New comment by datascientist in "Ask HN: What's the state of the job market in data science and machine learning?"]]></title><description><![CDATA[
<p>A few months ago Mikio Braun wrote a great post on this topic (the need for data scientists with strong software development skills) <a href="https://www.oreilly.com/ideas/what-is-hardcore-data-science-in-practice" rel="nofollow">https://www.oreilly.com/ideas/what-is-hardcore-data-science-...</a></p>
]]></description><pubDate>Thu, 22 Dec 2016 18:53:37 +0000</pubDate><link>https://news.ycombinator.com/item?id=13239422</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=13239422</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=13239422</guid></item><item><title><![CDATA[Kudu, distributed systems, and more: a conversation with Todd Lipcon]]></title><description><![CDATA[
<p>Article URL: <a href="http://radar.oreilly.com/2015/10/resolving-transactional-access-and-analytic-performance-trade-offs.html">http://radar.oreilly.com/2015/10/resolving-transactional-access-and-analytic-performance-trade-offs.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=10353010">https://news.ycombinator.com/item?id=10353010</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 08 Oct 2015 14:35:26 +0000</pubDate><link>http://radar.oreilly.com/2015/10/resolving-transactional-access-and-analytic-performance-trade-offs.html</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=10353010</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=10353010</guid></item><item><title><![CDATA[Specialized and hybrid data management and processing engines]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.oreilly.com/ideas/specialized-and-hybrid-data-management-and-processing-engines">https://www.oreilly.com/ideas/specialized-and-hybrid-data-management-and-processing-engines</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=10324452">https://news.ycombinator.com/item?id=10324452</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Sat, 03 Oct 2015 16:47:52 +0000</pubDate><link>https://www.oreilly.com/ideas/specialized-and-hybrid-data-management-and-processing-engines</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=10324452</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=10324452</guid></item><item><title><![CDATA[Todd Lipcon's Strata-NYC-2015 Talk on Kudu]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.oreilly.com/ideas/kudu-resolving-transactional-and-analytic-trade-offs-in-hadoop">https://www.oreilly.com/ideas/kudu-resolving-transactional-and-analytic-trade-offs-in-hadoop</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=10315853">https://news.ycombinator.com/item?id=10315853</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 02 Oct 2015 00:35:46 +0000</pubDate><link>https://www.oreilly.com/ideas/kudu-resolving-transactional-and-analytic-trade-offs-in-hadoop</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=10315853</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=10315853</guid></item><item><title><![CDATA[Bounded and unbounded data processing and analytics]]></title><description><![CDATA[
<p>Article URL: <a href="http://radar.oreilly.com/2015/09/building-enterprise-data-applications-with-open-source-components.html">http://radar.oreilly.com/2015/09/building-enterprise-data-applications-with-open-source-components.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=10271785">https://news.ycombinator.com/item?id=10271785</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 24 Sep 2015 14:29:30 +0000</pubDate><link>http://radar.oreilly.com/2015/09/building-enterprise-data-applications-with-open-source-components.html</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=10271785</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=10271785</guid></item><item><title><![CDATA[Hadoop co-founder Mike Cafarella: “the Pete Best of big data”]]></title><description><![CDATA[
<p>Article URL: <a href="http://radar.oreilly.com/2015/09/from-search-to-distributed-computing-to-large-scale-information-extraction.html">http://radar.oreilly.com/2015/09/from-search-to-distributed-computing-to-large-scale-information-extraction.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=10198298">https://news.ycombinator.com/item?id=10198298</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 10 Sep 2015 14:40:57 +0000</pubDate><link>http://radar.oreilly.com/2015/09/from-search-to-distributed-computing-to-large-scale-information-extraction.html</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=10198298</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=10198298</guid></item><item><title><![CDATA[Celebrating the real-time processing and analytics revival]]></title><description><![CDATA[
<p>Article URL: <a href="http://radar.oreilly.com/2015/09/showcasing-the-real-time-processing-revival.html">http://radar.oreilly.com/2015/09/showcasing-the-real-time-processing-revival.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=10152473">https://news.ycombinator.com/item?id=10152473</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 01 Sep 2015 14:18:50 +0000</pubDate><link>http://radar.oreilly.com/2015/09/showcasing-the-real-time-processing-revival.html</link><dc:creator>datascientist</dc:creator><comments>https://news.ycombinator.com/item?id=10152473</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=10152473</guid></item></channel></rss>