<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: bhadass</title><link>https://news.ycombinator.com/user?id=bhadass</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 21 May 2026 02:04:20 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=bhadass" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by bhadass in "GitHub confirms breach of 3,800 repos via malicious VSCode extension"]]></title><description><![CDATA[
<p>these days it's just Microslop</p>
]]></description><pubDate>Wed, 20 May 2026 21:56:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=48214756</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=48214756</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48214756</guid></item><item><title><![CDATA[New comment by bhadass in "Trump fires NSF's oversight board"]]></title><description><![CDATA[
<p>its very transparent what they're doing<p>they're almost certainly going to replace all the board memebers with political loyalists. the board members served six year terms specifically so they'd span multiple administrations and stay independent.<p>firing them all at once lets you stack the entire board with people. it's not about making science better, it's about removing the people who'd say no.</p>
]]></description><pubDate>Sun, 26 Apr 2026 01:28:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=47906444</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=47906444</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47906444</guid></item><item><title><![CDATA[New comment by bhadass in "Trump fires NSF's oversight board"]]></title><description><![CDATA[
<p>the honest answer is it's not really about science at all; its about removing independent oversight.<p>the "benefit" from his perspective is the same playbook trump admin has been running across every federal agency, he wants to replace independent experts with loyalists, remove checks on executive power, and redirect spending toward admin priorities.<p>the board members served six year terms specifically to insulate science funding from political cycles. that's a feature to everyone else and a bug to this administration.</p>
]]></description><pubDate>Sun, 26 Apr 2026 01:26:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=47906426</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=47906426</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47906426</guid></item><item><title><![CDATA[New comment by bhadass in "OpenAI's fall from grace as investors race to Anthropic"]]></title><description><![CDATA[
<p>I dunno, my experience mirrors the parent posters: we use opus for all our coding, but gpt 5.4 for all of our enterprise agentic work via api (much bigger amount of tokens). it just seems to be more optimized for this.</p>
]]></description><pubDate>Mon, 06 Apr 2026 04:23:25 +0000</pubDate><link>https://news.ycombinator.com/item?id=47656968</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=47656968</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47656968</guid></item><item><title><![CDATA[New comment by bhadass in "Atlassian to cut roughly 1,600 jobs in pivot to AI"]]></title><description><![CDATA[
<p>i agree that their products are quite stale, but a lot of that is cuz they're so deeply entrenched in enterprise workflows in a way that's incredibly hard to displace. switching costs for jira alone across a large org are brutal.<p>could an AI native competitor eventually eat their lunch? sure. but "no new sane company wants to use their products" is a stretch when their customer count is literally still growing double digits.<p>i would not say "writing on the wall" at all.</p>
]]></description><pubDate>Thu, 12 Mar 2026 03:59:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=47346290</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=47346290</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47346290</guid></item><item><title><![CDATA[New comment by bhadass in "Most of the US economy is in a recession"]]></title><description><![CDATA[
<p>but will iran accept the taco? at this point, it seems like it may get ideological for them, and they play a different war (jihad) which would require diverting prolonged resources. we may not be able to simply just leave and revert to normal.</p>
]]></description><pubDate>Mon, 09 Mar 2026 01:20:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=47303700</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=47303700</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47303700</guid></item><item><title><![CDATA[New comment by bhadass in "Microsoft guide to pirating Harry Potter for LLM training (2024) [removed]"]]></title><description><![CDATA[
<p>but the slop will likely better as models improve I guess</p>
]]></description><pubDate>Thu, 19 Feb 2026 03:44:22 +0000</pubDate><link>https://news.ycombinator.com/item?id=47069642</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=47069642</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47069642</guid></item><item><title><![CDATA[New comment by bhadass in "I’m joining OpenAI"]]></title><description><![CDATA[
<p>openclaw is just one of many now, there are new ones weekly.</p>
]]></description><pubDate>Mon, 16 Feb 2026 00:32:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=47029376</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=47029376</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47029376</guid></item><item><title><![CDATA[New comment by bhadass in "We mourn our craft"]]></title><description><![CDATA[
<p>i agree w/ the the complexity analysis point, but that theoretical understanding actually translates to real world deployment decisions in both subfields. knowing an algorithm is O() tells you surprisingly little about whether itll actually outperform alternatives on real hardware with real cache hierarchies, branch predictors, and memory access patterns. same thing with ML (just with the very different nature of GPU hw), both subfields hve massive graveyards of "improvements" that looked great on paper (or in controlled environments) but never made it into production systems. arxiv is full of architecture tweaks showing SOTA on some benchmark and the same w/ novels data structures/algorithms that nobody ever uses at scale.</p>
]]></description><pubDate>Sun, 08 Feb 2026 22:29:05 +0000</pubDate><link>https://news.ycombinator.com/item?id=46939216</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=46939216</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46939216</guid></item><item><title><![CDATA[New comment by bhadass in "We mourn our craft"]]></title><description><![CDATA[
<p>but isn't this like a lot of other CS-related "gradient descent"?<p>when someone invents a new scheduling algorithm or a new concurrent data structure, it's usually based on hunches and empirical results (benchmarks) too.  nobody sits down and mathematically proves their new linux scheduler is optimal before shipping it. they test it against representative workloads and see if there is uplift.<p>we understand transformer architectures at the same theoretical level we understand most complex systems. we know the principles, we have solid intuitions about why certain things work, but the emergent behavior of any sufficiently complex system isn't fully predictable from first principles.<p>that's true of operating systems, distributed databases, and most software above a certain complexity threshold.</p>
]]></description><pubDate>Sun, 08 Feb 2026 03:03:17 +0000</pubDate><link>https://news.ycombinator.com/item?id=46930938</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=46930938</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46930938</guid></item><item><title><![CDATA[New comment by bhadass in "The Waymo World Model"]]></title><description><![CDATA[
<p>I swear the Tay incident caused tech companies to be unnecessarily risk averse with chatbots for years.</p>
]]></description><pubDate>Sat, 07 Feb 2026 03:32:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=46921063</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=46921063</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46921063</guid></item><item><title><![CDATA[New comment by bhadass in "We tasked Opus 4.6 using agent teams to build a C Compiler"]]></title><description><![CDATA[
<p>yeah, but isn't the whole point of claude code to get people to provide preference data/telemetry data to anthropic (unless you opt out?). same w/ other providers.<p>i'm guessing most of the gains we've seen recently are post training rather than pretraining.</p>
]]></description><pubDate>Fri, 06 Feb 2026 00:16:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=46907353</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=46907353</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46907353</guid></item><item><title><![CDATA[New comment by bhadass in "xAI joins SpaceX"]]></title><description><![CDATA[
<p>yup, bezos said "we will be able to beat the cost of terrestrial data centers in space in the next couple of decades". presumably this means they'll need huge ass radiators, so its all about bringing down launch costs since they'll need to increase mass.</p>
]]></description><pubDate>Tue, 03 Feb 2026 01:17:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=46864966</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=46864966</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46864966</guid></item><item><title><![CDATA[New comment by bhadass in "Claude Code is suddenly everywhere inside Microsoft"]]></title><description><![CDATA[
<p>they should just acquire one of the many agent code harnesses. Something like opencode works just as well as claude-code and has only been around half of the time.</p>
]]></description><pubDate>Mon, 02 Feb 2026 15:59:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=46857464</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=46857464</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46857464</guid></item><item><title><![CDATA[New comment by bhadass in "Quaternion Algebras"]]></title><description><![CDATA[
<p>attitude control in general</p>
]]></description><pubDate>Sat, 31 Jan 2026 17:21:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=46838595</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=46838595</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46838595</guid></item><item><title><![CDATA[New comment by bhadass in "Quaternion Algebras"]]></title><description><![CDATA[
<p>true on the naming, but i think geometric/clifford algebra has its own mysterious aura precisely because it can be framed as "suppressed" or "overlooked".. plus it genuinely does have elegant mathematical structure backing up the hype<p>funny thing is quaternions had that exact same energy in the computer graphics community for years. after ken shoemake introduced them to CG in 1985, there was a long period of "why are we using euler angles like cavemen when this exists??". now quaternions are well known tooling for people in graphics and the mystique has worn off at least in that community.</p>
]]></description><pubDate>Sat, 31 Jan 2026 17:20:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=46838581</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=46838581</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46838581</guid></item><item><title><![CDATA[New comment by bhadass in "Mamdani to kill the NYC AI chatbot caught telling businesses to break the law"]]></title><description><![CDATA[
<p>>EDIT: More interestingly, I find an issue, what do I even DO? If it's not related to integrations or your underlying data, the black box just gave nonsensical output. What would I do to resolve it?<p>Lots of stuff you could do. Adjust the system prompt, add guardrails/filters (catching mistakes and then asking the LLM loop again), improve the RAG (assuming they have one), fine tune (if necessary), etc.</p>
]]></description><pubDate>Sat, 31 Jan 2026 14:56:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=46837215</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=46837215</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46837215</guid></item><item><title><![CDATA[New comment by bhadass in "The $100B megadeal between OpenAI and Nvidia is on ice"]]></title><description><![CDATA[
<p>Some of NVIDIA's models also tend to have interesting architectures. For example, usage of the MAMBA architecture instead of purely transformers:
<a href="https://developer.nvidia.com/blog/inside-nvidia-nemotron-3-techniques-tools-and-data-that-make-it-efficient-and-accurate/" rel="nofollow">https://developer.nvidia.com/blog/inside-nvidia-nemotron-3-t...</a></p>
]]></description><pubDate>Sat, 31 Jan 2026 03:04:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=46832949</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=46832949</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46832949</guid></item><item><title><![CDATA[New comment by bhadass in "The tech market is fundamentally fucked up and AI is just a scapegoat"]]></title><description><![CDATA[
<p>solid analysis but i think you're missing the logical endpoint here: this doesn't end with companies "relearning scarcity"... it ends with the permanent contractor-ification of various types of work at these tech companies (not just tech roles, but other types of roles at these companies). already, contractor-to-employee ratio has gotten higher and higher at these companies in recent years and I expect this to continue.<p>ZIRP (especially the "double tap" ZIRP in 2021/2022) created this monster (bootcamp devs getting hired, big tech devs making "day in the life of" tiktok vids).<p>contractors give:<p>instant scale up/down without layoff optics<p>no benefits overhead<p>no severance obligations<p>easy performance management (just don't renew)<p>this mirrors what other industries typically do after large restructuring waves ... manufacturing got temp agencies and staffing firms as permanent fixtures post-rust belt collapse. tech is just catching up to the same playbook.</p>
]]></description><pubDate>Thu, 29 Jan 2026 13:11:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=46809758</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=46809758</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46809758</guid></item><item><title><![CDATA[New comment by bhadass in "Pandas 3.0"]]></title><description><![CDATA[
<p>why not just go full bore to duckdb?</p>
]]></description><pubDate>Wed, 28 Jan 2026 14:17:22 +0000</pubDate><link>https://news.ycombinator.com/item?id=46795714</link><dc:creator>bhadass</dc:creator><comments>https://news.ycombinator.com/item?id=46795714</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46795714</guid></item></channel></rss>