<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: ersiees</title><link>https://news.ycombinator.com/user?id=ersiees</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sat, 19 Sep 2026 06:58:16 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=ersiees" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by ersiees in "Grok 4.6"]]></title><description><![CDATA[
<p>Sub two hour marathon is a more recent example of this</p>
]]></description><pubDate>Thu, 13 Aug 2026 10:45:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=49284042</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=49284042</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49284042</guid></item><item><title><![CDATA[New comment by ersiees in "Muse Code and Muse Spark 1.2"]]></title><description><![CDATA[
<p>Meta, please go back to publishing weights. Your models aren't top-tier, this wouldn't hurt you at all at your current position in the rankings. They wouldn't have the best open-weight models, but the best western open-weight models.</p>
]]></description><pubDate>Thu, 06 Aug 2026 13:14:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=49196239</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=49196239</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49196239</guid></item><item><title><![CDATA[After automation: what if the work of tasking LLMs stays?]]></title><description><![CDATA[
<p>Article URL: <a href="https://every.to/p/after-automation">https://every.to/p/after-automation</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48268534">https://news.ycombinator.com/item?id=48268534</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 25 May 2026 16:14:29 +0000</pubDate><link>https://every.to/p/after-automation</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=48268534</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48268534</guid></item><item><title><![CDATA[Anthropic is Down]]></title><description><![CDATA[
<p>Article URL: <a href="https://updog.ai/status/anthropic">https://updog.ai/status/anthropic</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46872481">https://news.ycombinator.com/item?id=46872481</a></p>
<p>Points: 154</p>
<p># Comments: 144</p>
]]></description><pubDate>Tue, 03 Feb 2026 15:48:03 +0000</pubDate><link>https://updog.ai/status/anthropic</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=46872481</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46872481</guid></item><item><title><![CDATA[New comment by ersiees in "Poison Fountain"]]></title><description><![CDATA[
<p>Isn’t it too late for that? Won’t that rather cement the oligopoly we have right now?</p>
]]></description><pubDate>Sun, 11 Jan 2026 17:59:22 +0000</pubDate><link>https://news.ycombinator.com/item?id=46577893</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=46577893</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46577893</guid></item><item><title><![CDATA[New comment by ersiees in "Splash-free urinals: Design through physics and differential equations"]]></title><description><![CDATA[
<p>I think the European urinals already follow the proposed designs closely. They only compare to very old chunky designs.</p>
]]></description><pubDate>Mon, 14 Apr 2025 03:49:11 +0000</pubDate><link>https://news.ycombinator.com/item?id=43677889</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=43677889</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43677889</guid></item><item><title><![CDATA[New comment by ersiees in "Why Fennel?"]]></title><description><![CDATA[
<p>I don’t love fennel, it usually dominates the whole taste of a dish for me</p>
]]></description><pubDate>Sun, 13 Apr 2025 23:34:12 +0000</pubDate><link>https://news.ycombinator.com/item?id=43676657</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=43676657</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43676657</guid></item><item><title><![CDATA[New comment by ersiees in "How much do you think it costs to make a pair of Nike shoes in Asia?"]]></title><description><![CDATA[
<p>So, 100$ Nike shoes will soon be 125$.</p>
]]></description><pubDate>Wed, 09 Apr 2025 14:54:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=43632852</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=43632852</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43632852</guid></item><item><title><![CDATA[New comment by ersiees in "Show HN: TabPFN v2 – A SOTA foundation model for small tabular data"]]></title><description><![CDATA[
<p>Author here!<p>Thanks :)<p>1. Only for the first version, not for this version. I am sorry!
2. Yeah ours is guaranteed ok, as we wrote code to generate it basically just from plain torch ops. The code to run inference is available, just not the training code and data generation.
3. We have put it to work on time series data, which is very business relevant for example <a href="https://github.com/liam-sbhoo/tabpfn-time-series">https://github.com/liam-sbhoo/tabpfn-time-series</a>, and we have a table in the Appendix with all datasets we evaluate on in our main analysis to give you some ideas for possible datasets.</p>
]]></description><pubDate>Fri, 10 Jan 2025 12:11:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=42654948</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=42654948</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42654948</guid></item><item><title><![CDATA[New comment by ersiees in "Show HN: TabPFN v2 – A SOTA foundation model for small tabular data"]]></title><description><![CDATA[
<p>Yes, there are normalizations applied before the features are fed to the neural network. Additionally, the neural network is trained on a very diverse set of artificial datasets.</p>
]]></description><pubDate>Fri, 10 Jan 2025 12:07:17 +0000</pubDate><link>https://news.ycombinator.com/item?id=42654932</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=42654932</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42654932</guid></item><item><title><![CDATA[New comment by ersiees in "Show HN: TabPFN v2 – A SOTA foundation model for small tabular data"]]></title><description><![CDATA[
<p>Author here: The new introduction of attention between features did make a big impact compared to the first variant of TabPFN. The old model handled every feature like it was completely different to be feature 5 vs 15, but actually features are typically more-or-less permutation invariant. So the logic is similar to why a CNN is better for images than an MLP.</p>
]]></description><pubDate>Fri, 10 Jan 2025 12:06:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=42654930</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=42654930</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42654930</guid></item><item><title><![CDATA[New comment by ersiees in "Show HN: TabPFN v2 – A SOTA foundation model for small tabular data"]]></title><description><![CDATA[
<p>To put it very simply, the trick is that while the others train a new model for each problem, TabPFN is pre-trained to handle any kind of problem on the fly.<p>To draw a parallel to NLP: previously people trained a neural network for each kind of text classification they wanted to do, but then LLMs came around that pre-trained to learn to perform new tasks on the fly.
Similarly, TabPFN learns to do new tasks on the fly just from the context (dataset) given.<p>Training and prediction in these models is by default one and the same, similar to how the prediction of the next token in an LLM is not split into learning from context and then doing the actual prediction.
There is a way to split this even up, though, then the predictions, I believe, take something like 1/10s for medium-sized datasets.</p>
]]></description><pubDate>Fri, 10 Jan 2025 12:04:22 +0000</pubDate><link>https://news.ycombinator.com/item?id=42654914</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=42654914</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42654914</guid></item><item><title><![CDATA[New comment by ersiees in "Show HN: TabPFN v2 – A SOTA foundation model for small tabular data"]]></title><description><![CDATA[
<p>Tuned per dataset</p>
]]></description><pubDate>Fri, 10 Jan 2025 08:41:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=42653827</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=42653827</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42653827</guid></item><item><title><![CDATA[New comment by ersiees in "Show HN: TabPFN v2 – A SOTA foundation model for small tabular data"]]></title><description><![CDATA[
<p>No, it is *much* stronger, a different architecture and scales to 10x the number of examples. It can also do regression now, and handle categorical features. Please, have a quick look at the abstract before making such claims.</p>
]]></description><pubDate>Thu, 09 Jan 2025 23:16:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=42650830</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=42650830</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42650830</guid></item><item><title><![CDATA[TabPFN-V2]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.nature.com/articles/s41586-024-08328-6">https://www.nature.com/articles/s41586-024-08328-6</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42643609">https://news.ycombinator.com/item?id=42643609</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 09 Jan 2025 09:55:44 +0000</pubDate><link>https://www.nature.com/articles/s41586-024-08328-6</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=42643609</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42643609</guid></item><item><title><![CDATA[New comment by ersiees in "Explaining Large Language Models Decisions Using Shapley Values"]]></title><description><![CDATA[
<p>Another clue: there is no way to download the latex, while you can if someone uploaded the latex on arxiv.</p>
]]></description><pubDate>Sat, 28 Dec 2024 10:28:05 +0000</pubDate><link>https://news.ycombinator.com/item?id=42529992</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=42529992</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42529992</guid></item><item><title><![CDATA[Show HN: Lektor.lol, a free, hacky promptable writing assistant (no sign up)]]></title><description><![CDATA[
<p>Article URL: <a href="https://lektor.lol/">https://lektor.lol/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42389761">https://news.ycombinator.com/item?id=42389761</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 11 Dec 2024 16:51:37 +0000</pubDate><link>https://lektor.lol/</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=42389761</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42389761</guid></item><item><title><![CDATA[New comment by ersiees in "Bluesky is currently gaining more than 1M users a day"]]></title><description><![CDATA[
<p>What is the alternative to AI twitter? Is there some incumbent where it moves?</p>
]]></description><pubDate>Sat, 16 Nov 2024 22:47:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=42160118</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=42160118</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42160118</guid></item><item><title><![CDATA[New comment by ersiees in "Λ-2D: An Exploration of Drawing as Programming Language"]]></title><description><![CDATA[
<p>And there is scratch right?</p>
]]></description><pubDate>Fri, 08 Nov 2024 17:12:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=42088493</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=42088493</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42088493</guid></item><item><title><![CDATA[New comment by ersiees in "I couldn't find a free, no-login, no-AI checklist app–so I built one"]]></title><description><![CDATA[
<p>Why is it only for 7 days available?</p>
]]></description><pubDate>Sun, 03 Nov 2024 17:54:03 +0000</pubDate><link>https://news.ycombinator.com/item?id=42034688</link><dc:creator>ersiees</dc:creator><comments>https://news.ycombinator.com/item?id=42034688</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42034688</guid></item></channel></rss>