<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: osipov</title><link>https://news.ycombinator.com/user?id=osipov</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Mon, 01 Jun 2026 07:05:14 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=osipov" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by osipov in "Omnom: Self-hosted bookmarking with searchable, wysiwyg snapshots [showcase]"]]></title><description><![CDATA[
<p>the only factor that's stopping me from moving to readeck is a lack of import functionality for evernote bookmarks. otherwise, i'd be 100% on readeck.</p>
]]></description><pubDate>Mon, 14 Apr 2025 13:12:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=43680904</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=43680904</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43680904</guid></item><item><title><![CDATA[New comment by osipov in "Ask HN: Apple defacto removed open access to their Podcast index. What now?"]]></title><description><![CDATA[
<p><a href="https://podcastindex.org/apps?appTypes=app" rel="nofollow">https://podcastindex.org/apps?appTypes=app</a></p>
]]></description><pubDate>Wed, 21 Aug 2024 14:49:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=41310853</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=41310853</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41310853</guid></item><item><title><![CDATA[New comment by osipov in "Trying Kolmogorov-Arnold Networks in Practice"]]></title><description><![CDATA[
<p>What's your basis for claiming that Tinygrad can't compute 2nd order partial derivatives (i.e. Hessians) needed for LBFGS? Tinygrad like PyTorch uses automatic differentiation which has no problem supporting nth order derivatives.</p>
]]></description><pubDate>Tue, 02 Jul 2024 14:22:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=40857004</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=40857004</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40857004</guid></item><item><title><![CDATA[New comment by osipov in "Is Clear Air Turbulence becoming more common?"]]></title><description><![CDATA[
<p>Commercial pilot here. Instead of climate change, we should be talking about continuous descent profiles (CDPs) that have become more common in the past years 5-10 years. These profiles with idle engines allow for a smoother, more fuel-efficient descent by reducing the need for level-off segments. However, CDPs can increase the perception of turbulence during descent. This is because aircraft remain at higher altitudes for longer periods, where atmospheric instability and wind shear are more pronounced. This increased turbulence is not due to climate change but rather the result of these optimized descent procedures aimed at reducing fuel consumption and minimizing environmental impact.</p>
]]></description><pubDate>Fri, 28 Jun 2024 13:59:12 +0000</pubDate><link>https://news.ycombinator.com/item?id=40820666</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=40820666</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40820666</guid></item><item><title><![CDATA[New comment by osipov in "Do McKinsey and other consultants do anything useful?"]]></title><description><![CDATA[
<p>In a broader economic context, they take profitable but unpredictable companies and make them boring. Google is the more recent example. Apple (pre-return of Job) is another. Here's a good article: <a href="https://www.inc.com/justin-bariso/apple-googlemckinsey-how-an-old-school-company-is-changing-the-world-of-digital-.html" rel="nofollow">https://www.inc.com/justin-bariso/apple-googlemckinsey-how-a...</a></p>
]]></description><pubDate>Sat, 15 Oct 2022 13:19:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=33214530</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=33214530</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=33214530</guid></item><item><title><![CDATA[New comment by osipov in "IBM unveils 127-qubit quantum processor"]]></title><description><![CDATA[
<p>surprisingly not a word about quantum supremacy</p>
]]></description><pubDate>Tue, 16 Nov 2021 18:58:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=29244868</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=29244868</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=29244868</guid></item><item><title><![CDATA[New comment by osipov in "Ask HN: How do you seek information? not joking"]]></title><description><![CDATA[
<p>if you don't want pop science articles did you try scholar.google.com instead?</p>
]]></description><pubDate>Thu, 07 Oct 2021 18:02:28 +0000</pubDate><link>https://news.ycombinator.com/item?id=28789967</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=28789967</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=28789967</guid></item><item><title><![CDATA[New comment by osipov in "Jim Whitehurst to step down as IBM President"]]></title><description><![CDATA[
<p>>Maybe IBM could have used some of the $110 billion dollars they spent on buying back shares to, I don't know, build a real business?<p>You just answered your own question. As I pointed out, leadership was "picked" by Wall Street investors. Share buybacks and financial engineering exist to keep the investors happy.<p>If they didn't buy back shares and invested in R&D the stock would have gone straight down instead of sideways. As I said the leadership "couldn't get the capital to fund internal engineering efforts for the _scale_ of the transformation needed to sustain IBM's success"</p>
]]></description><pubDate>Fri, 02 Jul 2021 21:36:39 +0000</pubDate><link>https://news.ycombinator.com/item?id=27717228</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=27717228</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=27717228</guid></item><item><title><![CDATA[New comment by osipov in "Jim Whitehurst to step down as IBM President"]]></title><description><![CDATA[
<p>ex-IBMer here. I rode this from 2001 until 2016 when it became clear that breaking up the company (as they recently did) would become the only sensible path forward.<p>While many poor decisions were made inside of the company, I ultimately blame Wall Street for IBM's downfall. Remember that back in 2011, Palmisano finished strong with IBM's Watson winning Jeopardy, IBM Software delivering consistent >80% profit margins on $10Bs in revenue, and a strong services backlog.<p>Many don't know that Palmisano's departure was preceded by a Wall Street mediated competition for the successor. IBM Software Group SVP, Steve Mills, was the obvious choice. The guy was a lifetime IBMer, intellectually superb, allegedly with photographic memory, effective public speaker, and with a proven history of leading (at the time) the 3rd largest software business in the world.<p>Unfortunately, Wall Street didn't like Mills because he did not come across well on CNBC. The guy is chubby and doesn't look like a conventional CEO. So Ginny Rometty, with a claim to fame based on building IBM Global Business Services from on the PwC acquistion became the leading candidate. Ginny is "media friendly" and the diversity factor didn't hurt.<p>Once Ginny came on board, leadership style changed from long-term to fickle and neurotic. Instead of committing to the hard work of building complex technology (e.g. cloud), any signs of technological challenges became reasons for business strategy changes at the top level. What started as a build decision (IBM SmartCloud) turned into a buy decision (Softlayer), followed by a build decision (IBM Bluemix), and so on.<p>However, Ginny's biggest failure was her inability to raise capital on Wall Street. IBM's engineers weren't failing at building cloud technology because the engineers were terrible (some were, normal distribution rules still apply) but because cost cutting policies starved engineering teams though attrition and lack of hiring. Staffing a team meant bringing in internal hires w/o the right skill set or taking a gamble on offshore (global) resource. At the same time Google was hiring left and right with comparative ease (as an aside, now they are dealing with the consequences).<p>Bottom line, Ginny couldn't get the capital to fund internal engineering efforts for the scale of the transformation needed to sustain IBM's success with machine learning (Watson) and cloud.<p>I place the blame on Wall Street since they made the bet on Ginny and then left her out to dry.</p>
]]></description><pubDate>Fri, 02 Jul 2021 15:43:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=27712971</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=27712971</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=27712971</guid></item><item><title><![CDATA[New comment by osipov in "IBM's 18-month company-wide email system migration has been a disaster: sources"]]></title><description><![CDATA[
<p>IBM was the entire IT industry of 1950s, 1960s, and most of 1970s. It is hard to explain IBM's dominance in today's terms. IBM used to be so dominant that the entire financial industry could not operate without their IBM mainframes and today major banks still run on IBM.<p>The downside (to IBM) was that Wall Street decided "never again" and fought hard to prevent another company of IBM's scale from reappearing.</p>
]]></description><pubDate>Fri, 02 Jul 2021 15:09:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=27712505</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=27712505</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=27712505</guid></item><item><title><![CDATA[New comment by osipov in "Heart inflammation cases in young men higher than expected after mRNA vaccines"]]></title><description><![CDATA[
<p>>The injection is intramuscular, not into the bloodstream.<p>Recent research (per No Agenda shownotes) showed that unlike traditional vaccines, Moderna mRNA spread through the bloodstream producing and distributing spike protein in the entire body.</p>
]]></description><pubDate>Thu, 10 Jun 2021 19:08:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=27464347</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=27464347</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=27464347</guid></item><item><title><![CDATA[New comment by osipov in "MUM: A new AI milestone for understanding information"]]></title><description><![CDATA[
<p>There is nothing here but a promise. Back in the day we called this "vaporware".</p>
]]></description><pubDate>Thu, 20 May 2021 00:44:57 +0000</pubDate><link>https://news.ycombinator.com/item?id=27216152</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=27216152</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=27216152</guid></item><item><title><![CDATA[New comment by osipov in "Principal Component Analysis Explained Visually"]]></title><description><![CDATA[
<p>Linear regression uses a measure of an "error" for every data point. Visually, the error is the vertical difference between a data point and the line/plane of linear regression. In contrast, PCA measures the distance from the data point along the line perpendicular to the PCA axis. The PCA distance is also known as a "projection".<p>There is something known as orthogonal regression (total least squares) which uses the same measure as PCA. Unfortunately it doesn't work well across incompatible variables.</p>
]]></description><pubDate>Sun, 02 May 2021 22:55:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=27019834</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=27019834</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=27019834</guid></item><item><title><![CDATA[New comment by osipov in "Why I'm Lukewarm on Graph Neural Networks"]]></title><description><![CDATA[
<p>You can use <a href="https://web.archive.org/web/20210104154304/https://www.singlelunch.com/2020/12/28/why-im-lukewarm-on-graph-neural-networks/" rel="nofollow">https://web.archive.org/web/20210104154304/https://www.singl...</a> since the original website is experiencing HN bear hug.</p>
]]></description><pubDate>Mon, 04 Jan 2021 16:05:57 +0000</pubDate><link>https://news.ycombinator.com/item?id=25633089</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=25633089</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=25633089</guid></item><item><title><![CDATA[New comment by osipov in "Intel's disruption is now complete"]]></title><description><![CDATA[
<p>The more perceptive ones at Google have realized that and quit in mass over the past few years. Since Sundar and the rest of the McKinsey gang took over, it has been just death to Google by a thousand cuts.</p>
]]></description><pubDate>Sat, 14 Nov 2020 18:43:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=25094488</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=25094488</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=25094488</guid></item><item><title><![CDATA[New comment by osipov in "Gender and Race Preferences in Hiring at Silicon Valley Tech Firms [pdf]"]]></title><description><![CDATA[
<p>The post reveals the hackernews bias against discrimination in all forms, regardless of whether it is targeted at minorities or white males. Meritocracy baby!</p>
]]></description><pubDate>Thu, 12 Nov 2020 15:32:37 +0000</pubDate><link>https://news.ycombinator.com/item?id=25070908</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=25070908</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=25070908</guid></item><item><title><![CDATA[Scale PyTorch models to out-of-memory CSV datasets in cloud object storage]]></title><description><![CDATA[
<p>Article URL: <a href="https://laaytrivedi.medium.com/scale-to-out-of-memory-csv-datasets-from-cloud-object-storage-providers-683fa53f37e0">https://laaytrivedi.medium.com/scale-to-out-of-memory-csv-datasets-from-cloud-object-storage-providers-683fa53f37e0</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=24923177">https://news.ycombinator.com/item?id=24923177</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 28 Oct 2020 19:35:19 +0000</pubDate><link>https://laaytrivedi.medium.com/scale-to-out-of-memory-csv-datasets-from-cloud-object-storage-providers-683fa53f37e0</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=24923177</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=24923177</guid></item><item><title><![CDATA[New comment by osipov in "Porting Firecracker to a Raspberry Pi 4 (2019)"]]></title><description><![CDATA[
<p>citation needed</p>
]]></description><pubDate>Sat, 24 Oct 2020 13:34:21 +0000</pubDate><link>https://news.ycombinator.com/item?id=24879129</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=24879129</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=24879129</guid></item><item><title><![CDATA[New comment by osipov in "Ask HN: Why AI and Data Science projects have a high risk of failure?"]]></title><description><![CDATA[
<p>due lack of clear and measurable success criteria</p>
]]></description><pubDate>Thu, 15 Oct 2020 18:24:59 +0000</pubDate><link>https://news.ycombinator.com/item?id=24791949</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=24791949</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=24791949</guid></item><item><title><![CDATA[New comment by osipov in "Ask HN: Is there a website which has currated truths, but not Wikipedia"]]></title><description><![CDATA[
<p>Quora</p>
]]></description><pubDate>Sun, 11 Oct 2020 10:33:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=24744858</link><dc:creator>osipov</dc:creator><comments>https://news.ycombinator.com/item?id=24744858</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=24744858</guid></item></channel></rss>