<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: rad_val</title><link>https://news.ycombinator.com/user?id=rad_val</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sun, 27 Sep 2026 12:03:58 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=rad_val" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by rad_val in "28% of job postings on company career sites have been open over 90 days"]]></title><description><![CDATA[
<p>Yeah, common knowledge sadly. Can get even worse, a friend had recently an interview with a, not-so-well-known, but you heard of them company and they didn't do any face to face interview, just AI driven via email, all steps. When he failed a step: they offered him some credits on the platform, literally a funnel via a job post (it's a dev platform).</p>
]]></description><pubDate>Wed, 23 Sep 2026 19:44:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=49821467</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=49821467</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49821467</guid></item><item><title><![CDATA[New comment by rad_val in "Being ambitious and being a dad"]]></title><description><![CDATA[
<p>The weird thing is how most of the comments here are from dads saying it's hard but worth it in various ways. I've been scrolling for a while and failed to find an alternative point of view.</p>
]]></description><pubDate>Wed, 19 Aug 2026 00:12:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=49354797</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=49354797</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49354797</guid></item><item><title><![CDATA[New comment by rad_val in "Claude Opus 5"]]></title><description><![CDATA[
<p>After Opus 4.8 intelligence really started to matter less and less for the programming tasks I have. If I have to handheld anyway, why would I wait more or pay more?</p>
]]></description><pubDate>Fri, 24 Jul 2026 18:37:21 +0000</pubDate><link>https://news.ycombinator.com/item?id=49039872</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=49039872</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49039872</guid></item><item><title><![CDATA[New comment by rad_val in "Ask HN: What are you working on? (June 2026)"]]></title><description><![CDATA[
<p>kinoto.io/orrery<p>We're releasing this next week.</p>
]]></description><pubDate>Sun, 14 Jun 2026 23:35:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=48534297</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=48534297</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48534297</guid></item><item><title><![CDATA[New comment by rad_val in "Statement on US government directive to suspend access to Fable 5 and Mythos 5"]]></title><description><![CDATA[
<p>I wasn't assuming anything. Generally speaking.<p>The flow you describe in that comment is rather simple in my opinion and with the right harness even Sonnet would drive  most of that.<p>I judge by the ability to bugfix complex codebases and the direction it takes in architecture. In my opinion, that's a tad more complex (and easier to objectively measure) than orchestrating tickets, no matter how complex.</p>
]]></description><pubDate>Sat, 13 Jun 2026 20:10:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=48520937</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=48520937</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48520937</guid></item><item><title><![CDATA[New comment by rad_val in "Statement on US government directive to suspend access to Fable 5 and Mythos 5"]]></title><description><![CDATA[
<p>Step 1: don't trust benchmarks you don't understand - they might measure irrelevant things
Step 2: test it on things you know Opus failed<p>My day-to-day take, for the coding I do (not security related): incremental, modest improvement, if any. Not worth the 2x cost. I've calmly continued to use Opus, happy that it seems like it got an allowance upgrade.</p>
]]></description><pubDate>Sat, 13 Jun 2026 16:58:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=48519096</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=48519096</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48519096</guid></item><item><title><![CDATA[New comment by rad_val in "Mathematicians issue warning as AI rapidly gains ground"]]></title><description><![CDATA[
<p>I'm more interested why you think my understanding is flawed honestly. I thought I distilled it decently well in two sentences. The bottom line is, in this hyperdimensional space you can find relationships that are not easily distinguished by human minds, but the corpus is still fixed, a llm can't truly know anything beyond its training data.</p>
]]></description><pubDate>Thu, 04 Jun 2026 01:27:26 +0000</pubDate><link>https://news.ycombinator.com/item?id=48392529</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=48392529</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48392529</guid></item><item><title><![CDATA[New comment by rad_val in "Mathematicians issue warning as AI rapidly gains ground"]]></title><description><![CDATA[
<p>The strongest argument for this is structural: what LLMs are.<p>In a brutal simplistic way: each token is represented in a high dimensional vector. LLMs operate on them. They are the true, underlying meaning of the token for the LLM. Think of it as 1000+ ways to think of that word/token. Those meanings are baked in at training time. So, LLMs might be able to cross-reference them and solve a class of problems that flew under our radar, but can't come up with revolutionary theories that were never in the training set.<p>Of course, they will help winning a Nobel in the years to come, no doubt, but can't speak mathematics we can't understand (beyond simple obfuscation) and won't discover anything substantial on their own.</p>
]]></description><pubDate>Wed, 03 Jun 2026 23:36:28 +0000</pubDate><link>https://news.ycombinator.com/item?id=48391598</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=48391598</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48391598</guid></item><item><title><![CDATA[New comment by rad_val in "Mathematicians issue warning as AI rapidly gains ground"]]></title><description><![CDATA[
<p>AI (in this form) will never be able to solve things we truly cannot solve yet. It might catch things that we didn't project properly or brute force things no human can , but it will never unify general relativity with quantum mechanics. It's amazing at finding hidden truths in large datasets, but won't win a Nobel unassisted.</p>
]]></description><pubDate>Wed, 03 Jun 2026 22:42:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=48391120</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=48391120</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48391120</guid></item><item><title><![CDATA[New comment by rad_val in "Mathematicians issue warning as AI rapidly gains ground"]]></title><description><![CDATA[
<p>i haven't read their memo, but, the article talks about math being something deeply human and the AI taint. I think it's a bit of both.</p>
]]></description><pubDate>Wed, 03 Jun 2026 22:33:17 +0000</pubDate><link>https://news.ycombinator.com/item?id=48391049</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=48391049</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48391049</guid></item><item><title><![CDATA[New comment by rad_val in "Mathematicians issue warning as AI rapidly gains ground"]]></title><description><![CDATA[
<p>Agreed. As someone who was always curious but had difficulties learning math the way it's taught at the university, AI teaching me the way no professor ever could is a blessing. I fail to see the point of the memo besides: we got here first and we decide what math is because we can. I'm really optimistic about AI and the value it brings in education. Gatekeepers will complain, but ultimately, will either adapt or be left behind.</p>
]]></description><pubDate>Wed, 03 Jun 2026 22:32:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=48391037</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=48391037</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48391037</guid></item><item><title><![CDATA[Anthropic and the caravel problem]]></title><description><![CDATA[
<p>Article URL: <a href="https://radval.me/articles/anthropic-and-the-caravel-problem">https://radval.me/articles/anthropic-and-the-caravel-problem</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48365091">https://news.ycombinator.com/item?id=48365091</a></p>
<p>Points: 2</p>
<p># Comments: 1</p>
]]></description><pubDate>Tue, 02 Jun 2026 02:07:44 +0000</pubDate><link>https://radval.me/articles/anthropic-and-the-caravel-problem</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=48365091</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48365091</guid></item><item><title><![CDATA[New comment by rad_val in "PostHog will train AI models with your data (opted-in by default)"]]></title><description><![CDATA[
<p>All of them do if you don't do something about it(e.g. migrate to self hosted solutions), trusting a ToS in 2026 is as naive as it gets.</p>
]]></description><pubDate>Wed, 27 May 2026 17:48:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=48297819</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=48297819</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48297819</guid></item><item><title><![CDATA[Show HN: Pent – A sandbox for AI agents]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/valentinradu/Pent">https://github.com/valentinradu/Pent</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47228123">https://news.ycombinator.com/item?id=47228123</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 03 Mar 2026 04:38:51 +0000</pubDate><link>https://github.com/valentinradu/Pent</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=47228123</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47228123</guid></item><item><title><![CDATA[There's no corpus large enough]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.swiftcraft.io/articles/no-corpus-large-enough">https://www.swiftcraft.io/articles/no-corpus-large-enough</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46674162">https://news.ycombinator.com/item?id=46674162</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 19 Jan 2026 01:44:08 +0000</pubDate><link>https://www.swiftcraft.io/articles/no-corpus-large-enough</link><dc:creator>rad_val</dc:creator><comments>https://news.ycombinator.com/item?id=46674162</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46674162</guid></item></channel></rss>