<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: greenflag</title><link>https://news.ycombinator.com/user?id=greenflag</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sun, 20 Sep 2026 11:51:07 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=greenflag" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by greenflag in "Asking authors about their own papers"]]></title><description><![CDATA[
<p>One larger problem here is the value of a research paper is rarely the specific knowledge it adds but in the process of researching that adds to the collective knowledge+experience of those involved, especially training graduate students. AI papers shortcut this entirely. Academia has a lot to answer for this too by making papers the currency of success. AI generated papers are almost shortcut learning at a full system level.</p>
]]></description><pubDate>Sat, 19 Sep 2026 15:11:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=49767203</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=49767203</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49767203</guid></item><item><title><![CDATA[New comment by greenflag in "Becoming a dad changes men's brains"]]></title><description><![CDATA[
<p>Becoming a dad simultaneously made me more empathetic (seeing a little person from the beginning for all they are) but also more impatient (fewer hours in the day), but beyond that not much. Given the notoriety about some of the techniques referenced in this article [0] curious if others notice anything more consistent.<p>0: <a href="https://academic.oup.com/brain/article/140/8/e53/4032512" rel="nofollow">https://academic.oup.com/brain/article/140/8/e53/4032512</a></p>
]]></description><pubDate>Mon, 22 Jun 2026 13:06:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=48629641</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=48629641</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48629641</guid></item><item><title><![CDATA[Tempus acquires digital pathology company Paige for $81M]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.tempus.com/news/tempus-announces-the-acquisition-of-paige/">https://www.tempus.com/news/tempus-announces-the-acquisition-of-paige/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44988571">https://news.ycombinator.com/item?id=44988571</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 22 Aug 2025 19:09:28 +0000</pubDate><link>https://www.tempus.com/news/tempus-announces-the-acquisition-of-paige/</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=44988571</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44988571</guid></item><item><title><![CDATA[New comment by greenflag in "Positron, a New Data Science IDE"]]></title><description><![CDATA[
<p>For R+RStudio users, any opinions on the switch? Assistant seems to be the big departure, trying to work out if worth losing keyboard shortcut muscle memory for</p>
]]></description><pubDate>Tue, 19 Aug 2025 17:30:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=44954035</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=44954035</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44954035</guid></item><item><title><![CDATA[New comment by greenflag in "This website is for humans"]]></title><description><![CDATA[
<p>Beside the point but I really love the rainbow sparkles trailing the cursor on the netscape theme of this blog. Takes me back to a time when the internet was...fun</p>
]]></description><pubDate>Wed, 13 Aug 2025 18:23:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=44891988</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=44891988</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44891988</guid></item><item><title><![CDATA[New comment by greenflag in "Robin: A multi-agent system for automating scientific discovery"]]></title><description><![CDATA[
<p>Someone has pointed out on X/Twitter that the "novel discovery" made by the AI system already has an entire review article written about the subject [0]<p>[0] <a href="https://x.com/wildtypehuman/status/1924858077326528991" rel="nofollow">https://x.com/wildtypehuman/status/1924858077326528991</a></p>
]]></description><pubDate>Tue, 20 May 2025 20:25:53 +0000</pubDate><link>https://news.ycombinator.com/item?id=44045560</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=44045560</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44045560</guid></item><item><title><![CDATA[New comment by greenflag in "What went wrong with the Alan Turing Institute?"]]></title><description><![CDATA[
<p>While this is an excellently written piece and really insightful into the state of higher education funding, what seems to be missing from the debate is concrete ideas of what should be done differently (either in 2014 or today). A lot of US innovation success comes from deep pockets of private venture capital, which is just missing in the UK. So if you're a politician/bureaucrat with a (let's face it) relatively small budget and much politics to deal with, the best strategy to take is not obvious (at least to me).</p>
]]></description><pubDate>Thu, 27 Mar 2025 15:28:07 +0000</pubDate><link>https://news.ycombinator.com/item?id=43494654</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=43494654</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43494654</guid></item><item><title><![CDATA[Nvidia, AI Chip Peers Tumble on DeepSeek Implications]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.investors.com/news/technology/nvidia-stock-ai-chipmakers-tumble-on-deepseek-news/">https://www.investors.com/news/technology/nvidia-stock-ai-chipmakers-tumble-on-deepseek-news/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42842702">https://news.ycombinator.com/item?id=42842702</a></p>
<p>Points: 2</p>
<p># Comments: 1</p>
]]></description><pubDate>Mon, 27 Jan 2025 16:21:14 +0000</pubDate><link>https://www.investors.com/news/technology/nvidia-stock-ai-chipmakers-tumble-on-deepseek-news/</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=42842702</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42842702</guid></item><item><title><![CDATA[Emerging Reasoning with Reinforcement Learning Is Both Effective and Efficient]]></title><description><![CDATA[
<p>Article URL: <a href="https://hkust-nlp.notion.site/simplerl-reason">https://hkust-nlp.notion.site/simplerl-reason</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42822871">https://news.ycombinator.com/item?id=42822871</a></p>
<p>Points: 4</p>
<p># Comments: 1</p>
]]></description><pubDate>Sat, 25 Jan 2025 17:04:27 +0000</pubDate><link>https://hkust-nlp.notion.site/simplerl-reason</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=42822871</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42822871</guid></item><item><title><![CDATA[Simulating 500M years of evolution with a language model]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.science.org/doi/10.1126/science.ads0018">https://www.science.org/doi/10.1126/science.ads0018</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42731579">https://news.ycombinator.com/item?id=42731579</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 16 Jan 2025 22:13:17 +0000</pubDate><link>https://www.science.org/doi/10.1126/science.ads0018</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=42731579</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42731579</guid></item><item><title><![CDATA[Dissecting the ESM3 Model Architecture]]></title><description><![CDATA[
<p>Article URL: <a href="https://ericmjl.github.io/blog/2024/8/25/dissecting-the-esm3-model-architecture/">https://ericmjl.github.io/blog/2024/8/25/dissecting-the-esm3-model-architecture/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42731572">https://news.ycombinator.com/item?id=42731572</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 16 Jan 2025 22:12:38 +0000</pubDate><link>https://ericmjl.github.io/blog/2024/8/25/dissecting-the-esm3-model-architecture/</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=42731572</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42731572</guid></item><item><title><![CDATA[Using AI in Academia]]></title><description><![CDATA[
<p>Article URL: <a href="https://arjun-raj-lab.gitbook.io/arjun-rajs-tools-for-science/how-to-do-science/using-ai-in-academia">https://arjun-raj-lab.gitbook.io/arjun-rajs-tools-for-science/how-to-do-science/using-ai-in-academia</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42216096">https://news.ycombinator.com/item?id=42216096</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 22 Nov 2024 18:15:39 +0000</pubDate><link>https://arjun-raj-lab.gitbook.io/arjun-rajs-tools-for-science/how-to-do-science/using-ai-in-academia</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=42216096</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42216096</guid></item><item><title><![CDATA[Bluesky for Science]]></title><description><![CDATA[
<p>Article URL: <a href="https://blog.stephenturner.us/p/bluesky-for-science">https://blog.stephenturner.us/p/bluesky-for-science</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42196759">https://news.ycombinator.com/item?id=42196759</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 20 Nov 2024 18:26:47 +0000</pubDate><link>https://blog.stephenturner.us/p/bluesky-for-science</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=42196759</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42196759</guid></item><item><title><![CDATA[AI took their jobs. Now they get paid to make it sound human]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.bbc.com/future/article/20240612-the-people-making-ai-sound-more-human">https://www.bbc.com/future/article/20240612-the-people-making-ai-sound-more-human</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=40752443">https://news.ycombinator.com/item?id=40752443</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 21 Jun 2024 18:48:20 +0000</pubDate><link>https://www.bbc.com/future/article/20240612-the-people-making-ai-sound-more-human</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=40752443</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40752443</guid></item><item><title><![CDATA[New comment by greenflag in "Do Machine Learning Models Memorize or Generalize?"]]></title><description><![CDATA[
<p>It seems the take home is weight decay induces sparsity which helps learn the "true" representation rather than an overfit one. It's interesting the human brain has a comparable mechanism prevalent in development [1]. I would love to know from someone in the field if this was the inspiration for weight decay (or presumably just the more equivalent nn pruning [2]).<p>[1] <a href="https://en.wikipedia.org/wiki/Synaptic_pruning" rel="nofollow noreferrer">https://en.wikipedia.org/wiki/Synaptic_pruning</a>
[2] <a href="https://en.wikipedia.org/wiki/Pruning_(artificial_neural_network)" rel="nofollow noreferrer">https://en.wikipedia.org/wiki/Pruning_(artificial_neural_net...</a></p>
]]></description><pubDate>Thu, 10 Aug 2023 14:43:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=37076794</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=37076794</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=37076794</guid></item><item><title><![CDATA[New comment by greenflag in "Gut–brain axis study shows autism-associated molecular, microbial profiles"]]></title><description><![CDATA[
<p>Interestingly, on Monday a preprint [1] was posted calling into question a major Nature paper from 2020 that associated the microbiome with multiple cancer types [2] (though within each tissue sample, not the gut).<p>[1] <a href="https://www.biorxiv.org/content/10.1101/2023.07.28.550993v1" rel="nofollow noreferrer">https://www.biorxiv.org/content/10.1101/2023.07.28.550993v1</a>
[2] <a href="https://www.nature.com/articles/s41586-020-2095-1" rel="nofollow noreferrer">https://www.nature.com/articles/s41586-020-2095-1</a></p>
]]></description><pubDate>Wed, 02 Aug 2023 17:52:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=36974378</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=36974378</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=36974378</guid></item><item><title><![CDATA[New comment by greenflag in "Deepmind Alphadev: Faster sorting algorithms discovered using deep RL"]]></title><description><![CDATA[
<p>Does anyone have high level guidance on when (deep) RL is worth pursuing for optimization (e.g. optimizing algorithm design) rather than other approaches (e.g genetic)?</p>
]]></description><pubDate>Wed, 07 Jun 2023 15:53:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=36228506</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=36228506</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=36228506</guid></item><item><title><![CDATA[What makes a good computational genomics method?]]></title><description><![CDATA[
<p>Article URL: <a href="https://kieranrcampbell.github.io/posts/notes-comp-bio/">https://kieranrcampbell.github.io/posts/notes-comp-bio/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=36153715">https://news.ycombinator.com/item?id=36153715</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 01 Jun 2023 16:39:58 +0000</pubDate><link>https://kieranrcampbell.github.io/posts/notes-comp-bio/</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=36153715</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=36153715</guid></item><item><title><![CDATA[Many bioinformatics programming tasks can be automated with ChatGPT]]></title><description><![CDATA[
<p>Article URL: <a href="https://arxiv.org/abs/2303.13528">https://arxiv.org/abs/2303.13528</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=35544388">https://news.ycombinator.com/item?id=35544388</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 12 Apr 2023 18:23:36 +0000</pubDate><link>https://arxiv.org/abs/2303.13528</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=35544388</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=35544388</guid></item><item><title><![CDATA[New comment by greenflag in "[dead]"]]></title><description><![CDATA[
<p>The divide between literature/arts and STEM feels related to a push in modern culture that every moment must be productive (or in some sense profitable), though I have a hard time unpicking whether things really did used to be “better” or this is just getting older and realizing how the world works.</p>
]]></description><pubDate>Wed, 01 Mar 2023 01:32:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=34977599</link><dc:creator>greenflag</dc:creator><comments>https://news.ycombinator.com/item?id=34977599</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=34977599</guid></item></channel></rss>