<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: rajman187</title><link>https://news.ycombinator.com/user?id=rajman187</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 15 Sep 2026 01:40:50 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=rajman187" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by rajman187 in "The road to ACID transactions in Cassandra 6"]]></title><description><![CDATA[
<p>i'd say 99% of usecases will be served fine with Postgres, or a managed instance via AWS</p>
]]></description><pubDate>Fri, 21 Aug 2026 23:00:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=49394767</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=49394767</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49394767</guid></item><item><title><![CDATA[New comment by rajman187 in "How I estimate work"]]></title><description><![CDATA[
<p>i think it's worth revisiting this in a short while because, by and large, how the engineering craft has been for the last 40+ years is no longer the correct paradigm. it takes Claude Code a few moments to put together an entire proof of concept. engineers, especially experienced ones, will be less likely to produce (and hence be performance-calibrated on) code as output but rather orchestration and productionization of [a fleet of] agents. how do you guide an llm to produce exactly what is needed, based on your understanding of constraints, available libraries, various systems and APIs, etc. to accomplish some business or research goal?<p>in that sense, estimation should theoretically become a more reasonable endeavor. or maybe not, we just end up back where we are because the llm has produced unusable code or an impossible-to-find bug which delays shipment etc.</p>
]]></description><pubDate>Sat, 24 Jan 2026 19:40:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=46746899</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=46746899</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46746899</guid></item><item><title><![CDATA[New comment by rajman187 in "All-optical synthesis chip for large-scale intelligent semantic vision"]]></title><description><![CDATA[
<p>Re: cerebras, they filed a S1 [1] last year when attempting to go public. It showed something like a $60M+ loss for the first 6 months of 2024. The IPO didn’t happen because the CEO’s past included some financial missteps and the banks didn’t want to deal with this. At the time the majority of their revenue came from a single source in Abu Dhabi, as well. They did end up benefiting by the slew of open source model releases which enabled them to become inference providers via APIs rather than needing to provide the full stack for training.<p>[1]
<a href="https://www.sec.gov/Archives/edgar/data/2021728/000162828024041596/cerebras-sx1.htm" rel="nofollow">https://www.sec.gov/Archives/edgar/data/2021728/000162828024...</a></p>
]]></description><pubDate>Thu, 01 Jan 2026 04:01:33 +0000</pubDate><link>https://news.ycombinator.com/item?id=46451179</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=46451179</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46451179</guid></item><item><title><![CDATA[New comment by rajman187 in "We cut our Mongo DB costs by 90% by moving to Hetzner"]]></title><description><![CDATA[
<p>> You could cut your MongoDB costs by 100% by not using it ;)<p>Came here to say exactly this</p>
]]></description><pubDate>Fri, 14 Nov 2025 00:54:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=45922634</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=45922634</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45922634</guid></item><item><title><![CDATA[New comment by rajman187 in "GPT-OSS 120B Runs at 3000 tokens/sec on Cerebras"]]></title><description><![CDATA[
<p>They’ve filed a S1 [1] last year when attempting to go public. It showed something like a $60M+ loss for the first 6 months of 2024. The IPO didn’t happen because the CEO’s past included some financial missteps and the banks didn’t want to deal with this. At the time the majority of their revenue came from a single source in Abu Dhabi, as well<p>[1] <a href="https://www.sec.gov/Archives/edgar/data/2021728/000162828024041596/cerebras-sx1.htm" rel="nofollow">https://www.sec.gov/Archives/edgar/data/2021728/000162828024...</a></p>
]]></description><pubDate>Sat, 08 Nov 2025 12:48:05 +0000</pubDate><link>https://news.ycombinator.com/item?id=45856309</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=45856309</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45856309</guid></item><item><title><![CDATA[New comment by rajman187 in "Amazon Rivian electric delivery vans arrive in Canada"]]></title><description><![CDATA[
<p>If I could upvote this more than once I certainly would</p>
]]></description><pubDate>Mon, 03 Nov 2025 01:11:52 +0000</pubDate><link>https://news.ycombinator.com/item?id=45794953</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=45794953</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45794953</guid></item><item><title><![CDATA[New comment by rajman187 in "Thoughts on Mechanical Keyboards and the ZSA Moonlander"]]></title><description><![CDATA[
<p>My main keyboard has been a 34-key split Ferris. I usually have either a trackpad between the halves if I’m using a Mac or an ergonomic Logitech if on my Linux desktop. Not having to move my hands at all while being able to reach any keys/characters I need has been a welcomed change, worth remapping my brain.<p><a href="https://arjtala.github.io/2022/09/17/ferris-compact.html" rel="nofollow">https://arjtala.github.io/2022/09/17/ferris-compact.html</a></p>
]]></description><pubDate>Fri, 26 Sep 2025 23:09:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=45391965</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=45391965</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45391965</guid></item><item><title><![CDATA[New comment by rajman187 in "DINOv3"]]></title><description><![CDATA[
<p>Yeah the org structure is one thing, the missions are another. Yann adds some clarity here<p><a href="https://www.linkedin.com/posts/yann-lecun_were-excited-to-have-shengjia-zhao-at-the-activity-7354646371154464769-xBC4?utm_source=share&utm_medium=member_ios&rcm=ACoAAAyHORMBOL-CKtPodkoC9FI8NIgMRAC7N4Y" rel="nofollow">https://www.linkedin.com/posts/yann-lecun_were-excited-to-ha...</a></p>
]]></description><pubDate>Thu, 21 Aug 2025 04:14:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=44968970</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=44968970</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44968970</guid></item><item><title><![CDATA[New comment by rajman187 in "DINOv3"]]></title><description><![CDATA[
<p>This has nothing to do with the newly appointed fellow nor Meta Superintelligence Labs, but rather  work from FAIR that would have gone through a lengthy review process before seeing the light of day. Not fun to see the license change in any case</p>
]]></description><pubDate>Fri, 15 Aug 2025 00:25:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=44907319</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=44907319</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44907319</guid></item><item><title><![CDATA[New comment by rajman187 in "Understanding reinforcement learning for model training from scratch"]]></title><description><![CDATA[
<p>An intuitive treatment of RLHF, TRPO, PPO, GRPO, DPO and RLAIF</p>
]]></description><pubDate>Sun, 10 Aug 2025 22:15:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=44858772</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=44858772</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44858772</guid></item><item><title><![CDATA[Understanding reinforcement learning for model training from scratch]]></title><description><![CDATA[
<p>Article URL: <a href="https://medium.com/data-science-collective/understanding-reinforcement-learning-for-model-training-from-scratch-8bffe8d87a07">https://medium.com/data-science-collective/understanding-reinforcement-learning-for-model-training-from-scratch-8bffe8d87a07</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44858771">https://news.ycombinator.com/item?id=44858771</a></p>
<p>Points: 2</p>
<p># Comments: 1</p>
]]></description><pubDate>Sun, 10 Aug 2025 22:15:34 +0000</pubDate><link>https://medium.com/data-science-collective/understanding-reinforcement-learning-for-model-training-from-scratch-8bffe8d87a07</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=44858771</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44858771</guid></item><item><title><![CDATA[Rust CLI with Clap]]></title><description><![CDATA[
<p>Article URL: <a href="https://tucson-josh.com/posts/rust-clap-cli/">https://tucson-josh.com/posts/rust-clap-cli/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44429695">https://news.ycombinator.com/item?id=44429695</a></p>
<p>Points: 97</p>
<p># Comments: 88</p>
]]></description><pubDate>Tue, 01 Jul 2025 01:25:07 +0000</pubDate><link>https://tucson-josh.com/posts/rust-clap-cli/</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=44429695</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44429695</guid></item><item><title><![CDATA[New comment by rajman187 in "V-JEPA 2 world model and new benchmarks for physical reasoning"]]></title><description><![CDATA[
<p>That’s why you have encoders as well as decoders. For example, another model from Meta does this for translations; they have encoders and decoders into a single embedding space that represents semantic concepts for each language<p><a href="https://ai.meta.com/research/publications/sonar-sentence-level-multimodal-and-language-agnostic-representations/" rel="nofollow">https://ai.meta.com/research/publications/sonar-sentence-lev...</a></p>
]]></description><pubDate>Thu, 12 Jun 2025 03:56:54 +0000</pubDate><link>https://news.ycombinator.com/item?id=44254201</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=44254201</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44254201</guid></item><item><title><![CDATA[New comment by rajman187 in "Mlx-community/OLMo-2-0325-32B-Instruct-4bit"]]></title><description><![CDATA[
<p>Not a lawyer but would assume downloading material from libgen is, in the vast majority of cases, illegal because it's a breach of copyright or similar. That’s gotten Meta in quite a spectacle of late [1]<p>[1] <a href="https://www.loeb.com/en/insights/publications/2023/12/richard-kadrey-v-meta-platforms-inc" rel="nofollow">https://www.loeb.com/en/insights/publications/2023/12/richar...</a></p>
]]></description><pubDate>Tue, 18 Mar 2025 04:38:57 +0000</pubDate><link>https://news.ycombinator.com/item?id=43395816</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=43395816</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43395816</guid></item><item><title><![CDATA[New comment by rajman187 in "GPT 4.5 level for 1% of the price"]]></title><description><![CDATA[
<p>Well there was the case of an employee leaving due to his perceived moral issues around the use of copyrighted material in the training dataset [1]<p>[1] <a href="https://www.pbs.org/newshour/nation/openai-whistleblower-who-raised-legal-concerns-about-chatgpts-datasets-has-died" rel="nofollow">https://www.pbs.org/newshour/nation/openai-whistleblower-who...</a></p>
]]></description><pubDate>Sun, 16 Mar 2025 13:25:03 +0000</pubDate><link>https://news.ycombinator.com/item?id=43378883</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=43378883</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43378883</guid></item><item><title><![CDATA[New comment by rajman187 in "Ex-Facebook director's new book paints brutal image of Mark Zuckerberg"]]></title><description><![CDATA[
<p>> other than a bit of open source (PyTorch and React are nice, I guess)<p>Not to detract from your main point but I think this misses a lot of contributions, eg Cassandra, Hive, Presto, GraphQL, the plethora of publications coming out of FAIR (fundamental AI research) and of course the Llama family of models which have enabled quite a few developments themselves</p>
]]></description><pubDate>Fri, 14 Mar 2025 09:22:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=43360884</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=43360884</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43360884</guid></item><item><title><![CDATA[New comment by rajman187 in "Software engineering job openings hit five-year low?"]]></title><description><![CDATA[
<p>> It was clearly valuable from day 1<p>I’m not sure that’s the case even if in retrospect we can clearly argue this<p>In 1998, Paul Krugman, winner of the Nobel memorial prize in economic sciences, infamously predicted that “the growth of the Internet will slow drastically, as the flaw in ‘Metcalfe’s law’—which states that the number of potential connections in a network is proportional to the square of the number of participants—becomes apparent: most people have nothing to say to each other! By 2005 or so, it will become clear that the Internet’s impact on the economy has been no greater than the fax machine’s” [1] and even though that turned out to be spectacularly wrong it shows the attitude in the early days wasn’t one of absolute certainty.<p>And certainly the current AI boom is most visibly known for LLMs but there is a lot more happening beyond chatbots.<p>[1] <a href="https://www.snopes.com/fact-check/paul-krugman-internets-effect-economy/" rel="nofollow">https://www.snopes.com/fact-check/paul-krugman-internets-eff...</a></p>
]]></description><pubDate>Fri, 21 Feb 2025 03:23:59 +0000</pubDate><link>https://news.ycombinator.com/item?id=43123663</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=43123663</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43123663</guid></item><item><title><![CDATA[New comment by rajman187 in "Sharing new research, models, and datasets from Meta FAIR"]]></title><description><![CDATA[
<p>It originates in Yann LeCunn’s paper from 2022 [1], the term AMI being district from AGI. However, the A has changed over the past few years from autonomous to advanced and even augmented, depending on context<p>[1] <a href="https://openreview.net/pdf?id=BZ5a1r-kVsf" rel="nofollow">https://openreview.net/pdf?id=BZ5a1r-kVsf</a></p>
]]></description><pubDate>Sat, 14 Dec 2024 00:32:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=42413600</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=42413600</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42413600</guid></item><item><title><![CDATA[New comment by rajman187 in "Sail – Unify stream processing, batch processing and compute-intensive workloads"]]></title><description><![CDATA[
<p>From the documentation [1]<p>> The mission of Sail is to unify stream processing, batch processing, and compute-intensive (AI) workloads. Currently, Sail features a drop-in replacement for Spark SQL and the Spark DataFrame API in single-process settings.<p>[1] <a href="https://docs.lakesail.com/sail/latest/" rel="nofollow">https://docs.lakesail.com/sail/latest/</a></p>
]]></description><pubDate>Tue, 10 Sep 2024 13:58:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=41500817</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=41500817</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41500817</guid></item><item><title><![CDATA[New comment by rajman187 in "Nearly half of Nvidia's revenue comes from four mystery whales each buying $3B+"]]></title><description><![CDATA[
<p>MTIA will be for inference initially. Another to add to the list is wafer maker Cerebras<p><a href="https://www.forbes.com/sites/craigsmith/2024/08/27/cerebras-speeds-ai-by-putting-entire-foundation-model-on-its-giant-chip/" rel="nofollow">https://www.forbes.com/sites/craigsmith/2024/08/27/cerebras-...</a></p>
]]></description><pubDate>Sat, 31 Aug 2024 19:50:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=41411435</link><dc:creator>rajman187</dc:creator><comments>https://news.ycombinator.com/item?id=41411435</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41411435</guid></item></channel></rss>