<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: jonas_kgomo</title><link>https://news.ycombinator.com/user?id=jonas_kgomo</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 14 Apr 2026 22:25:26 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=jonas_kgomo" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[Show HN: A community feed for founders to share, update and receive feedback]]></title><description><![CDATA[
<p>Vertically: A global platform for early-stage founders and projects<p>Vertically helps innovators connect, collaborate, and scale. Build your team, access research and AI tools, and grow your project with support for incorporation, fundraising, and operations. Open to founders anywhere.
<a href="https://verticalafrica.vercel.app" rel="nofollow">https://verticalafrica.vercel.app</a></p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47303205">https://news.ycombinator.com/item?id=47303205</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 09 Mar 2026 00:20:13 +0000</pubDate><link>https://vertically.vercel.app</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=47303205</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47303205</guid></item><item><title><![CDATA[New comment by jonas_kgomo in "How many chess games are possible?"]]></title><description><![CDATA[
<p>I watched a movie a few days ago and they basically said there are more states in the game of chess than atoms in the universe? <a href="https://www.youtube.com/watch?v=xfMQ7hzyFW4" rel="nofollow">https://www.youtube.com/watch?v=xfMQ7hzyFW4</a></p>
]]></description><pubDate>Wed, 28 Jan 2026 02:21:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=46790223</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=46790223</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46790223</guid></item><item><title><![CDATA[New comment by jonas_kgomo in "Prism"]]></title><description><![CDATA[
<p>I actually found it quite robinhood for openai to acqhire, bascially this startup was my favourite thing for the past few months, but they were experiencing server overload and other issues on reliability, i think openai taking them under their wing is a good/neutral storyline. I think  its net good for science given the opai toolchain</p>
]]></description><pubDate>Wed, 28 Jan 2026 02:13:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=46790178</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=46790178</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46790178</guid></item><item><title><![CDATA[Show HN: Exploratory Policy – a policy simulation playground for complex systems]]></title><description><![CDATA[
<p>Hey HN. We’re the team behind Exploratory Policy—a causal-AI sandbox where policymakers, researchers, and curious citizens can test ideas before they ever hit the statute books.<p>What’s the problem?
Traditional policy making is reactive. By the time lawmakers regulate a new tech wave, second- and third-order effects have already locked in. We end up with brittle rules that chase yesterday’s risks.<p>Live demos<p>- Causal Graph Analysis – tweak an edge weight and see the entire system re-equilibrate.<p>- Chain Reaction Simulator<p>- AI Policy Assistant – natural-language back-and-forth with citations to the underlying model<p>Looking for feedback:<p>- Which policy domains should we add next? (We’re eyeing housing, economic impact preparedness, and open-source AI).<p>- Any go-to datasets we should onboard quickly?<p>- How can we make the uncertainty bands more intuitive for non-quants?</p>
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<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44757531">https://news.ycombinator.com/item?id=44757531</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 01 Aug 2025 14:43:54 +0000</pubDate><link>https://exploratory.vercel.app</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=44757531</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44757531</guid></item><item><title><![CDATA[Commentary: AI Reasoning on IMO(International Math Olympiad)]]></title><description><![CDATA[
<p>Article URL: <a href="https://jonaskgomo.com/guides/olympiad">https://jonaskgomo.com/guides/olympiad</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44635569">https://news.ycombinator.com/item?id=44635569</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 21 Jul 2025 14:32:57 +0000</pubDate><link>https://jonaskgomo.com/guides/olympiad</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=44635569</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44635569</guid></item><item><title><![CDATA[New comment by jonas_kgomo in "Ask HN: The Most Dense Conversation on Sensemaking"]]></title><description><![CDATA[
<p>I tried watching this over a couple of months and still remain lost every 5min. There seems to be a certain jargon they use that transcends normal speech, and they are operating in the same linguistic sphere. Does anyone understand any randomly selected 5-20 min of this discussion</p>
]]></description><pubDate>Sun, 01 Jun 2025 18:01:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=44152664</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=44152664</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44152664</guid></item><item><title><![CDATA[Ask HN: The Most Dense Conversation on Sensemaking]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.youtube.com/watch?v=8Es_WTEgZHE">https://www.youtube.com/watch?v=8Es_WTEgZHE</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44152663">https://news.ycombinator.com/item?id=44152663</a></p>
<p>Points: 1</p>
<p># Comments: 2</p>
]]></description><pubDate>Sun, 01 Jun 2025 18:01:43 +0000</pubDate><link>https://www.youtube.com/watch?v=8Es_WTEgZHE</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=44152663</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44152663</guid></item><item><title><![CDATA[New comment by jonas_kgomo in "Ask HN: Where Can I Find Dense Discussions [video]"]]></title><description><![CDATA[
<p>This is the most difficult conversation i ever listened to, because each sentence had so much layers that I could not possibly understand every 5 min of the discussion. My questions is, how does one get to understand these kind of conversations, and secondly, where can I find more of them?
NB: I guess the word here for high-density should probably be entropy or information content as opposed to density.</p>
]]></description><pubDate>Tue, 20 May 2025 07:54:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=44038938</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=44038938</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44038938</guid></item><item><title><![CDATA[Ask HN: Where Can I Find Dense Discussions [video]]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.youtube.com/watch?v=8Es_WTEgZHE">https://www.youtube.com/watch?v=8Es_WTEgZHE</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44038937">https://news.ycombinator.com/item?id=44038937</a></p>
<p>Points: 1</p>
<p># Comments: 1</p>
]]></description><pubDate>Tue, 20 May 2025 07:54:45 +0000</pubDate><link>https://www.youtube.com/watch?v=8Es_WTEgZHE</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=44038937</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44038937</guid></item><item><title><![CDATA[New comment by jonas_kgomo in "Sensemaking: Where Can I Find High-Density Information Discussions"]]></title><description><![CDATA[
<p>This is the most difficult conversation i ever listened to, because each sentence had so much layers that I could not possibly understand every 5 min of the discussion. My questions is, how does one get to understand these kind of conversations, and secondly, where can I find more of them?<p>NB: I guess the word here for high-density should probably be entropy or information content as opposed to density.</p>
]]></description><pubDate>Mon, 19 May 2025 18:33:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=44033147</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=44033147</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44033147</guid></item><item><title><![CDATA[Sensemaking: Where Can I Find High-Density Information Discussions]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.youtube.com/watch?v=8Es_WTEgZHE">https://www.youtube.com/watch?v=8Es_WTEgZHE</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44033146">https://news.ycombinator.com/item?id=44033146</a></p>
<p>Points: 1</p>
<p># Comments: 1</p>
]]></description><pubDate>Mon, 19 May 2025 18:33:29 +0000</pubDate><link>https://www.youtube.com/watch?v=8Es_WTEgZHE</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=44033146</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44033146</guid></item><item><title><![CDATA[Show HN: Operating System for Tasks]]></title><description><![CDATA[
<p>Task OS is an AI-driven platform that manages tasks like an operating system, built for knowledge workers and creators.</p>
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<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44022704">https://news.ycombinator.com/item?id=44022704</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Sun, 18 May 2025 16:59:43 +0000</pubDate><link>https://www.interai.run/task</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=44022704</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44022704</guid></item><item><title><![CDATA[Rethinking AI Supremacy]]></title><description><![CDATA[
<p>Article URL: <a href="https://jonaskgomo.com/guides/quantum">https://jonaskgomo.com/guides/quantum</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=43157393">https://news.ycombinator.com/item?id=43157393</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 24 Feb 2025 09:14:23 +0000</pubDate><link>https://jonaskgomo.com/guides/quantum</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=43157393</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43157393</guid></item><item><title><![CDATA[The Quiet Years of Agents]]></title><description><![CDATA[
<p>Article URL: <a href="https://jonaskgomo.com/guides/quiet-agents">https://jonaskgomo.com/guides/quiet-agents</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42542317">https://news.ycombinator.com/item?id=42542317</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Sun, 29 Dec 2024 19:34:10 +0000</pubDate><link>https://jonaskgomo.com/guides/quiet-agents</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=42542317</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42542317</guid></item><item><title><![CDATA[New comment by jonas_kgomo in "Show HN: Griddd – Create a digital presence in minutes"]]></title><description><![CDATA[
<p>this is basically a direct copy of the startup that got purchased by linktree right?</p>
]]></description><pubDate>Fri, 02 Aug 2024 04:47:05 +0000</pubDate><link>https://news.ycombinator.com/item?id=41136170</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=41136170</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41136170</guid></item><item><title><![CDATA[New comment by jonas_kgomo in "Recall: Stealing everything you've ever typed or viewed on your own Windows PC"]]></title><description><![CDATA[
<p>I have shared a similar post about another app of the same kind. It is called Invisibility (already using it, but concerned)!<p><a href="https://news.ycombinator.com/item?id=40530354">https://news.ycombinator.com/item?id=40530354</a></p>
]]></description><pubDate>Sat, 01 Jun 2024 00:14:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=40541622</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=40541622</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40541622</guid></item><item><title><![CDATA[Ask HN: How Private Is Invisibility AI]]></title><description><![CDATA[
<p>Hi HN community,<p>I’ve recently come across a product called Invisibility that claims to have excellent a MacOS copilot. I’m curious to learn more from those who have used it or have knowledge about it. Also, Microsoft released a similar feature, keen to learn more about whether this is a good application for daily use.<p>What are your experiences/expectations with Invisibility in terms of data privacy?<p>Thanks in advance!
twitter: invisibilityinc
www.i.inc</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=40530354">https://news.ycombinator.com/item?id=40530354</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 31 May 2024 00:41:59 +0000</pubDate><link>https://news.ycombinator.com/item?id=40530354</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=40530354</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40530354</guid></item><item><title><![CDATA[Ask HN: What is a 2024-2030 moat for AI]]></title><description><![CDATA[
<p>What are the key moats and competitive advantage in the AI industry(specifically if one is working in the Generative AI space) for the next 6 years? Some simple examples, you are building on powerful technologies: AI forecasting based on graphcast, or an assistant based on GPT or computer vision based on Roboflow and Scale API. Products like Perplexity is built on GPT and others and Rabbit is built on Perplexity.<p>Looking ahead to the years 2024 to 2030, it becomes increasingly crucial to identify the moats that can help AI companies maintain a sustainable competitive advantage. Some say this is users, data or compute. But what makes sense for 1-3 person team.</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=39196274">https://news.ycombinator.com/item?id=39196274</a></p>
<p>Points: 22</p>
<p># Comments: 23</p>
]]></description><pubDate>Tue, 30 Jan 2024 21:42:30 +0000</pubDate><link>https://news.ycombinator.com/item?id=39196274</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=39196274</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39196274</guid></item><item><title><![CDATA[Ask HN: How do teams manage prompts?]]></title><description><![CDATA[
<p>Suppose you are working with a large team and want to share your prompt environments, how do you share this environment with a team.<p>What collaborative software do you use to manage AI generated content and what are the biggest bottlenecks in AI productivity at your company currently?<p>How do you deal with linear chat environments, is this an ideal environment for you to work with?<p>How do you manage prompt clutter, do you find yourself looking for previous prompt conversations?</p>
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<p>Comments URL: <a href="https://news.ycombinator.com/item?id=38966767">https://news.ycombinator.com/item?id=38966767</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 12 Jan 2024 11:23:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=38966767</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=38966767</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38966767</guid></item><item><title><![CDATA[Open-source platform for RLHF and fine-tuning LLMs]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/generalpurposelab/rlhf.app">https://github.com/generalpurposelab/rlhf.app</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=38930331">https://news.ycombinator.com/item?id=38930331</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 09 Jan 2024 18:58:08 +0000</pubDate><link>https://github.com/generalpurposelab/rlhf.app</link><dc:creator>jonas_kgomo</dc:creator><comments>https://news.ycombinator.com/item?id=38930331</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38930331</guid></item></channel></rss>