<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: airspresso</title><link>https://news.ycombinator.com/user?id=airspresso</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 04 Sep 2026 08:33:39 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=airspresso" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by airspresso in "Making the Internet Boring"]]></title><description><![CDATA[
<p>I'm with you on this, the knowledge sharing on YT is massive and in general not replicated in written form anywhere else. Anything that needs fixing involves a YT search for me these days, since that has the highest chance of turning up something useful and relevant. Only downside is that it's time consuming to find the right spot in the video and pause/rewind to understand how to do the thing properly. But having someone actually demonstrate how to do it, rather than just describing it with words, is so helpful and makes replicating it a lot easier.</p>
]]></description><pubDate>Thu, 03 Sep 2026 04:51:53 +0000</pubDate><link>https://news.ycombinator.com/item?id=49546081</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=49546081</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49546081</guid></item><item><title><![CDATA[New comment by airspresso in "Making the Internet Boring"]]></title><description><![CDATA[
<p>Clicked the links just to see preview screenshots, that is hilarious with all the cows XD</p>
]]></description><pubDate>Thu, 03 Sep 2026 04:41:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=49546016</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=49546016</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49546016</guid></item><item><title><![CDATA[New comment by airspresso in "Matrox: Graphics for Professionals"]]></title><description><![CDATA[
<p>It gave the card an aura of mystique (pun intended) and I remember really wanting it. I guess that means they succeeded in making a statement with it.</p>
]]></description><pubDate>Mon, 31 Aug 2026 06:02:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=49506141</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=49506141</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49506141</guid></item><item><title><![CDATA[New comment by airspresso in "Nvidia agrees to acquire Hugging Face for $13B"]]></title><description><![CDATA[
<p>Nvidia is also pushing for local inference IMHO. They want open models and competition in the model layer, not two big labs controlling all of it.</p>
]]></description><pubDate>Thu, 27 Aug 2026 08:09:53 +0000</pubDate><link>https://news.ycombinator.com/item?id=49461466</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=49461466</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49461466</guid></item><item><title><![CDATA[New comment by airspresso in "OpenAI Jalapeño: Better than Nvidia Blackwell"]]></title><description><![CDATA[
<p>This depends heavily on what the use-case is. Yes, if it's a coder making software and having to read LLM output then writing style matters. If the LLM is used in an automated data processing pipeline with a capped level of complexity, entirely different aspects matter and LLMs become more interchangeable.</p>
]]></description><pubDate>Tue, 25 Aug 2026 19:22:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=49439240</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=49439240</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49439240</guid></item><item><title><![CDATA[New comment by airspresso in "OpenAI Jalapeño: Better than Nvidia Blackwell"]]></title><description><![CDATA[
<p>By leveraging the experience Broadcom has in this area. Still remains to be seen how that goes when they want to scale production.</p>
]]></description><pubDate>Tue, 25 Aug 2026 19:19:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=49439191</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=49439191</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49439191</guid></item><item><title><![CDATA[New comment by airspresso in "IPFS Maintainers Winding Down"]]></title><description><![CDATA[
<p>Most of the generative art is hosted on IPFS.</p>
]]></description><pubDate>Mon, 24 Aug 2026 18:20:42 +0000</pubDate><link>https://news.ycombinator.com/item?id=49423867</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=49423867</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49423867</guid></item><item><title><![CDATA[New comment by airspresso in "Anthropic's best AI model struggles to attract users as cheaper tools thrive"]]></title><description><![CDATA[
<p>Wait, it's allowed again? Completely missed that. Been avoiding to use it and trying to find workarounds, not great.</p>
]]></description><pubDate>Mon, 24 Aug 2026 07:37:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=49416362</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=49416362</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49416362</guid></item><item><title><![CDATA[New comment by airspresso in "Cerebras CS-4"]]></title><description><![CDATA[
<p>The Cerebras hardware is not locked to specific models / model families. Taalas is the company that's etching models into their silicon, locking it to that model forever.</p>
]]></description><pubDate>Wed, 19 Aug 2026 04:59:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=49357046</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=49357046</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49357046</guid></item><item><title><![CDATA[New comment by airspresso in "Process as a Proxy for Motivation"]]></title><description><![CDATA[
<p>Agree. My team standardized on black in our Python CI/CD pipeline and precommit hooks and it was surprising how much time we reclaimed from not having to review coding style and discuss patterns. The compromise was to apply black and not think about it. And it worked out really well. This was back in the days when humans still wrote code XD</p>
]]></description><pubDate>Thu, 13 Aug 2026 05:08:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=49281974</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=49281974</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49281974</guid></item><item><title><![CDATA[New comment by airspresso in "Getting 25 Gbps Thunderbolt Ethernet on My Mac Studio"]]></title><description><![CDATA[
<p>My default assumption (with no knowledge about this particular case) is that all gear in YouTube videos is sponsored. Too easy to get jealous of all the fancy setups. But I don't want to become a YouTuber so that settles that.</p>
]]></description><pubDate>Fri, 31 Jul 2026 21:37:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=49128796</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=49128796</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49128796</guid></item><item><title><![CDATA[New comment by airspresso in "OpenAI unveils its first custom chip, built by Broadcom"]]></title><description><![CDATA[
<p>OpenAI's upcoming mega IPO</p>
]]></description><pubDate>Wed, 24 Jun 2026 17:49:24 +0000</pubDate><link>https://news.ycombinator.com/item?id=48663350</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=48663350</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48663350</guid></item><item><title><![CDATA[New comment by airspresso in "Magnifica Humanitas"]]></title><description><![CDATA[
<p>> Time for me to go research the early history of electrification.<p>The Stepchange podcast has an amazing episode on The Grid [1], walking us through the arc of history of how it became the utility it is today.<p>[1]: <a href="https://www.stepchange.show/grid" rel="nofollow">https://www.stepchange.show/grid</a></p>
]]></description><pubDate>Tue, 26 May 2026 09:40:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=48277337</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=48277337</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48277337</guid></item><item><title><![CDATA[New comment by airspresso in "Higher usage limits for Claude and a compute deal with SpaceX"]]></title><description><![CDATA[
<p>> posting this sentence was part of the deal to get the compute<p>This 100%</p>
]]></description><pubDate>Wed, 06 May 2026 21:46:33 +0000</pubDate><link>https://news.ycombinator.com/item?id=48042302</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=48042302</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48042302</guid></item><item><title><![CDATA[New comment by airspresso in "Higher usage limits for Claude and a compute deal with SpaceX"]]></title><description><![CDATA[
<p>> but given that you can actually run the models yourself on AWS Bedrock<p>That's not exactly how it works. Anthropic are hosting their models in AWS Bedrock as a managed service. Customers call those LLMs just like calling any other API. There's no visibility into what kind of AWS infrastructure is serving that API request.</p>
]]></description><pubDate>Wed, 06 May 2026 21:44:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=48042272</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=48042272</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48042272</guid></item><item><title><![CDATA[New comment by airspresso in "Only one side will be the true successor to MS-DOS – Windows 2.x"]]></title><description><![CDATA[
<p>Fun that it has oscillated from instant boot then to minutes-long boot a decade later back to instant boot (or resume to be fair) today.</p>
]]></description><pubDate>Sun, 26 Apr 2026 06:42:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=47907958</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=47907958</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47907958</guid></item><item><title><![CDATA[New comment by airspresso in "Only one side will be the true successor to MS-DOS – Windows 2.x"]]></title><description><![CDATA[
<p>I had the same confusion and closed the tab, only to discover here on HN that there's more. Open by default sounds reasonable.</p>
]]></description><pubDate>Sun, 26 Apr 2026 06:41:07 +0000</pubDate><link>https://news.ycombinator.com/item?id=47907945</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=47907945</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47907945</guid></item><item><title><![CDATA[New comment by airspresso in "Google releases Gemma 4 open models"]]></title><description><![CDATA[
<p>There is a surprising amount of code needed in each of the inference frameworks (LM Studio, llama.cpp, etc) to support each new model release. For example to format the input in the right way using a chat template, to parse the output properly with the model-specific tokens the model provider decided to standardize on for their model, and more.<p>This particular instance was a fix to the output parsing [1] in LM Studio, described like this:<p>"Adds value type parsers that use <|\"|> as string delimiters instead of JSON's double quotes, and disables json-to-schema conversion for these types."<p>[1]: <a href="https://github.com/ggml-org/llama.cpp/pull/21326/commits/a507ae5498257c6fd0835e85c78825298b2252ba" rel="nofollow">https://github.com/ggml-org/llama.cpp/pull/21326/commits/a50...</a><p>edit: formatting</p>
]]></description><pubDate>Fri, 03 Apr 2026 06:54:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=47623938</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=47623938</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47623938</guid></item><item><title><![CDATA[New comment by airspresso in "Hypura – A storage-tier-aware LLM inference scheduler for Apple Silicon"]]></title><description><![CDATA[
<p>I think we lost that terminology war. Open source models mean open weight. There are only a couple examples of fully open source models with open data and code, and the labs are not incentivized to go that far.</p>
]]></description><pubDate>Wed, 25 Mar 2026 08:22:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=47514686</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=47514686</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47514686</guid></item><item><title><![CDATA[New comment by airspresso in "How BYD got EV chargers to work almost as fast as gas pumps"]]></title><description><![CDATA[
<p>That's a good point. Charging stations benefit from being a service station too though, with amenities and a cafe etc, since people want something to do while they charge. So a gas station is a better candidate than a parking lot when decisions are made for where to place the new charging infrastructure. Lots of other factors too of course.</p>
]]></description><pubDate>Sun, 22 Mar 2026 10:38:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=47476144</link><dc:creator>airspresso</dc:creator><comments>https://news.ycombinator.com/item?id=47476144</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47476144</guid></item></channel></rss>