<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: maxnevermind</title><link>https://news.ycombinator.com/user?id=maxnevermind</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sun, 21 Jun 2026 09:14:47 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=maxnevermind" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by maxnevermind in "GPT-5.5 hallucinates 3x more than MIT-licensed GLM-5.2"]]></title><description><![CDATA[
<p>> these types of training data might be key to teaching models to reason beyond what they could gather from static data.<p>I was under impression that every time LLMs try to be truly novel and they need to assume things in the area where they didn't have enough data points that there were trained on, results are not good, has that changed?</p>
]]></description><pubDate>Sat, 20 Jun 2026 20:54:58 +0000</pubDate><link>https://news.ycombinator.com/item?id=48612910</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48612910</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48612910</guid></item><item><title><![CDATA[New comment by maxnevermind in "GPT-5.5 hallucinates 3x more than MIT-licensed GLM-5.2"]]></title><description><![CDATA[
<p>That is informative, I was suspecting that is how models improve their performance on some convoluted "non-googlabe" benchmarks like SimpleBench, that is how, they just got the taste of those those questions from publicly available samples and then hired people to generate similar questions and provide answers for them.<p>I wonder if extracting those static reasoning chains make sense given a Rich Sutton's "The Bitter Lesson" and Geoffrey Hinton's "People should stop training radiologists now.". I guess until participants make money they won't stop, not sure if they do, so far it is more about expectation of profitability as I understand.</p>
]]></description><pubDate>Sat, 20 Jun 2026 19:48:24 +0000</pubDate><link>https://news.ycombinator.com/item?id=48612371</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48612371</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48612371</guid></item><item><title><![CDATA[New comment by maxnevermind in "Leaked OpenAI financials show $38.5B loss and compute burn"]]></title><description><![CDATA[
<p>> Given the enormous cost of training, would it be worth training new models then?<p>I'm not an expert, but is this even an option? I mean models must be refreshed with latest knowldge base periodically even without algo/design improvements, otherwise the lag become too noticeable and it will hurt users and their use-case.</p>
]]></description><pubDate>Wed, 17 Jun 2026 05:07:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=48565942</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48565942</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48565942</guid></item><item><title><![CDATA[New comment by maxnevermind in "Leaked OpenAI financials show $38.5B loss and compute burn"]]></title><description><![CDATA[
<p>I guess that is good, competition should lower the margins with the time as it doesn't seem like any of AI labs have a particularly strong moat.</p>
]]></description><pubDate>Wed, 17 Jun 2026 04:45:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=48565786</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48565786</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48565786</guid></item><item><title><![CDATA[New comment by maxnevermind in "Leaked OpenAI financials show $38.5B loss and compute burn"]]></title><description><![CDATA[
<p>> The reported 2025 figures include $7.5 billion in cost of revenue, $19.18 billion in research and development, $5.73 billion in sales and marketing, and $1.57 billion in general and administrative expense<p>Does training of new models go into RnD or cost? And subscription plans' subsidies, are those cost or sales and marketing?</p>
]]></description><pubDate>Wed, 17 Jun 2026 04:38:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=48565732</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48565732</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48565732</guid></item><item><title><![CDATA[New comment by maxnevermind in "Is Meta destroying its engineering organization?"]]></title><description><![CDATA[
<p>Plot twist: we already are through the usage of AI lab's API.</p>
]]></description><pubDate>Wed, 17 Jun 2026 03:49:07 +0000</pubDate><link>https://news.ycombinator.com/item?id=48565469</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48565469</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48565469</guid></item><item><title><![CDATA[New comment by maxnevermind in "How to earn a billion dollars"]]></title><description><![CDATA[
<p>"Now you see why, when I meet a founder, the first thing I ask about is their growth rate."<p>This obsession with growth instead of progress or value rubs me the wrong way, given the trend for enshittification of services sooner or later, also remind me of a video I watched yesterday when a founder gives examples of private equity people trying to force growth no matter what:
<a href="https://www.youtube.com/watch?v=k4vNIsVY-0Y&t=412s" rel="nofollow">https://www.youtube.com/watch?v=k4vNIsVY-0Y&t=412s</a></p>
]]></description><pubDate>Sun, 14 Jun 2026 22:03:24 +0000</pubDate><link>https://news.ycombinator.com/item?id=48533303</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48533303</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48533303</guid></item><item><title><![CDATA[New comment by maxnevermind in "AI OSS tool repo goes archived over night after raising $7.3M Seed"]]></title><description><![CDATA[
<p>I thought usually founders try to pivot till they run out of money. I wonder if that is good or bad for a serial entrepreneurs if they decide to shut it down instead of pivoting?</p>
]]></description><pubDate>Sat, 13 Jun 2026 16:48:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=48519002</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48519002</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48519002</guid></item><item><title><![CDATA[New comment by maxnevermind in "32GB of DDR5 now costs $375 – AI shortage continues to squeeze PC building"]]></title><description><![CDATA[
<p>I was also wondering if it will result in Helium shortage and even higher prices the next few years, then/if it will be all over, new fabs might also come online and it will be the opposite - a glut. I believe that follows the historic pattern of boom and bust cycles of chip production.</p>
]]></description><pubDate>Wed, 03 Jun 2026 18:26:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=48387782</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48387782</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48387782</guid></item><item><title><![CDATA[New comment by maxnevermind in "Anthropic raises $65B in Series H funding at $965B post-money valuation"]]></title><description><![CDATA[
<p>What is this, Series for ants? It barely covers Andrej's sign-on bonus.</p>
]]></description><pubDate>Thu, 28 May 2026 20:02:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=48314615</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48314615</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48314615</guid></item><item><title><![CDATA[New comment by maxnevermind in "The Eternal Sloptember"]]></title><description><![CDATA[
<p>What type of projects you work on, in particular how rich it is in novelty, non-googlable data points and non-trivial project-specific deviations from industry standards?</p>
]]></description><pubDate>Mon, 25 May 2026 05:30:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=48263693</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48263693</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48263693</guid></item><item><title><![CDATA[New comment by maxnevermind in "Memory has grown to nearly two-thirds of AI chip component costs"]]></title><description><![CDATA[
<p>I wonder if it is reasonable to assume the propagation of shortages further. At first it was GPUs, then RAM, then what?</p>
]]></description><pubDate>Mon, 25 May 2026 02:25:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=48262879</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48262879</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48262879</guid></item><item><title><![CDATA[New comment by maxnevermind in "Is AI Profitable Yet?"]]></title><description><![CDATA[
<p>> Customers are finding value.<p>Where I can find confirmation of that in public sources?</p>
]]></description><pubDate>Sat, 23 May 2026 23:49:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=48252793</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48252793</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48252793</guid></item><item><title><![CDATA[New comment by maxnevermind in "I’ve joined Anthropic"]]></title><description><![CDATA[
<p>Andrej has decided to become a billionaire. 
Anthropic keeps preparing for the IPO.
I wish they IPO soon, let everyone see how the earnings look like.</p>
]]></description><pubDate>Tue, 19 May 2026 18:05:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=48196900</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=48196900</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48196900</guid></item><item><title><![CDATA[New comment by maxnevermind in "Specsmaxxing – On overcoming AI psychosis, and why I write specs in YAML"]]></title><description><![CDATA[
<p>> Defining exactly what the product is supposed to do is the hard part, writing code is the easy part.<p>> There is a massive difference between a spec, which defines what the product should do, and code, which defines exactly how it should do it.<p>He states: The difficult part is figuring out the details so LLM doesn't save much time.
You state: If LLM is able to correctly assume the details that saves you a lot of time.<p>Case 1:
Part of the spec describe some basic feature based on a popular framework and industry standards, everything is trivial. 
You are right, he is wrong.<p>Case 2:
Part of the spec describe some niche feature and/or uses some not popular framework and/or require deviation from industry standards and/or cutting edge performance/latency requirements and/or uses a bunch of proprietary non-googlable data. 
You are wrong, he is right.<p>The more senior engineer are the less time they spend on case 1, those are easy, they don't spend much time on it, it is the 2nd which is much more time consuming.</p>
]]></description><pubDate>Sun, 03 May 2026 17:04:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=47998974</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=47998974</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47998974</guid></item><item><title><![CDATA[New comment by maxnevermind in "The West forgot how to make things, now it’s forgetting how to code"]]></title><description><![CDATA[
<p>I'm also confused with that as well as the moral of the story as the whole. I get the sentiment but what is the lesson here, leave production capacity keep going as well as a "hiring pipeline" and just stock pile the output forever? Also, given article's take on the current situation of AI assisted coding, it seems to suggest that we need to apply that same logic to other industries too, so just don't let any industry/practice die and keep it alive? I would appreciate some inputs into some sort of actual solution or at least ideas of the solution but that is not present in the article.</p>
]]></description><pubDate>Sun, 26 Apr 2026 23:19:42 +0000</pubDate><link>https://news.ycombinator.com/item?id=47915877</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=47915877</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47915877</guid></item><item><title><![CDATA[New comment by maxnevermind in "SpaceX says it has agreement to acquire Cursor for $60B"]]></title><description><![CDATA[
<p>Galactic Empire has agreed to acquire a local lemonade stand in exchange for 10 death stars.</p>
]]></description><pubDate>Wed, 22 Apr 2026 03:16:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=47858465</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=47858465</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47858465</guid></item><item><title><![CDATA[New comment by maxnevermind in "Claude Code to be removed from Anthropic's Pro plan?"]]></title><description><![CDATA[
<p>Anthropic will kick and scream as those are often distilled from their latest models and is cutting into their margin. Though it is not like their hands are clean neither, it is just a different type of stealing, an approved one :-)</p>
]]></description><pubDate>Wed, 22 Apr 2026 00:16:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=47856792</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=47856792</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47856792</guid></item><item><title><![CDATA[New comment by maxnevermind in "OpenAI's fall from grace as investors race to Anthropic"]]></title><description><![CDATA[
<p>Any publicly available evidence to back that up? There have been post-exit blog posts from OpenAI employees on HN before and it did sound like the only black magic they use there is that many employees work 16 hrs a day during launch of new features. I know that some current Claude Code devs are doing interviews where they claim that they use Claude Code extensively but they clearly have a conflict of interest while they are still employed at Anthropic, so it would be like asking a barber if you need a haircut.</p>
]]></description><pubDate>Mon, 06 Apr 2026 01:43:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=47655990</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=47655990</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47655990</guid></item><item><title><![CDATA[New comment by maxnevermind in "SpaceX files to go public"]]></title><description><![CDATA[
<p>I wonder if this ends up like Tesla - China copies it and makes it cheaper - 
GG if not protected by huge tariffs/bans. It seems like US these days is just a testing ground for new tech that later scaled further and optimized in China. Are there any hard moats protecting SpaceX from that?</p>
]]></description><pubDate>Thu, 02 Apr 2026 05:37:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=47610355</link><dc:creator>maxnevermind</dc:creator><comments>https://news.ycombinator.com/item?id=47610355</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47610355</guid></item></channel></rss>