<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: mikeshi42</title><link>https://news.ycombinator.com/user?id=mikeshi42</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sat, 11 Jul 2026 22:00:42 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=mikeshi42" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by mikeshi42 in "GPT-5.6"]]></title><description><![CDATA[
<p>I've been using both and as far as I can tell with ccusage, the $ equivalent budgets are about the same between them now. This may have been true before anthropic doubled their quotas and openai 2x promo expired last month.</p>
]]></description><pubDate>Fri, 10 Jul 2026 04:39:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=48855805</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=48855805</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48855805</guid></item><item><title><![CDATA[The future of observability won't be one proprietary AI agent]]></title><description><![CDATA[
<p>Article URL: <a href="https://clickhouse.com/blog/the-future-of-observability-not-one-proprietary-ai-agent-thousands-by-teams">https://clickhouse.com/blog/the-future-of-observability-not-one-proprietary-ai-agent-thousands-by-teams</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48721122">https://news.ycombinator.com/item?id=48721122</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 29 Jun 2026 16:11:48 +0000</pubDate><link>https://clickhouse.com/blog/the-future-of-observability-not-one-proprietary-ai-agent-thousands-by-teams</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=48721122</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48721122</guid></item><item><title><![CDATA[New comment by mikeshi42 in "A successful Japanese trial of a ramjet engine designed for Mach‑5 aircraft"]]></title><description><![CDATA[
<p>I have _yet_ to hit a time where TSA can make multiple hours disappear. Precheck w/ touchless ID lines are virtually empty at most airports, the actual security screen itself is quite fast given almost nothing needs to be removed from your bag these days. I still tend to arrive early, but I don't mind getting work done at the airport, especially at a lounge - though I've arrived very close to departure other times and still make it to the gate with plenty to spare.<p>On international returns, both Global Entry or MPC lines are virtually empty when I arrive (SFO)<p>The worst part is international arrivals in foreign countries, where immigration can soak up a lot of time, and you have no choice but to stand in line. Luckily I don't have to fly internationally too many times a year.</p>
]]></description><pubDate>Tue, 26 May 2026 02:36:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=48274347</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=48274347</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48274347</guid></item><item><title><![CDATA[New comment by mikeshi42 in "Appearing productive in the workplace"]]></title><description><![CDATA[
<p>The irony is when I was sanity checking with ChatGPT - it caught the inaccuracies on its own.</p>
]]></description><pubDate>Thu, 07 May 2026 16:41:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=48051537</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=48051537</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48051537</guid></item><item><title><![CDATA[New comment by mikeshi42 in "Appearing productive in the workplace"]]></title><description><![CDATA[
<p>While I agree with some of these observations - the research cited in the article really do not match the claims at all from what I can tell.<p>> An NBER study of support agents [2] found generative AI boosted novice productivity by about a third while barely helping experts. Harvard Business School researchers found the same pattern in consulting work [3].<p>The first work cited was a research study on GPT-3(!) from 2020. Which is a barely coherent model relative to today's SOTA.<p>The second HBS research study literally finds the opposite of what's claimed:<p>> we observed performance enhancements in the experimental task for both groups when leveraging GPT-4. Note that the top-half-skill performers also received a significant boost, although not as much as the bottom-half-skill performers.<p>Where bottom-half skilled participants with AI outperformed top-half skilled participants without AI. (And top-half skilled participants gained another 11% improvement when pared with AI). Again, GPT-4 model intelligence (3 years ago) is a far cry from frontier models today.</p>
]]></description><pubDate>Thu, 07 May 2026 05:39:16 +0000</pubDate><link>https://news.ycombinator.com/item?id=48045792</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=48045792</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48045792</guid></item><item><title><![CDATA[New comment by mikeshi42 in "LinkedIn is searching your browser extensions"]]></title><description><![CDATA[
<p>I’ve seen fake accounts created by bad actors attempting to pose as others for gaining remote employment. It’s possible that is what was happening, and the takedown was from LI taking down the profile from the bad actor.<p>Other times they would just link to real LinkedIn profiles, but the LinkedIn profile will say that they’re not actively looking and are a victim of id fraud basically.<p>It’s been a huge issue spotting candidates falsifying information since remote work took off unfortunately. They payout is if they can get at least 1 or 2 paychecks before being found out, they’ve made a good profit.</p>
]]></description><pubDate>Thu, 02 Apr 2026 20:43:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=47619910</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=47619910</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47619910</guid></item><item><title><![CDATA[Claude Opus 4.6 extends LLM pareto frontier]]></title><description><![CDATA[
<p>Article URL: <a href="https://michaelshi.me/pareto/">https://michaelshi.me/pareto/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46925432">https://news.ycombinator.com/item?id=46925432</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Sat, 07 Feb 2026 17:07:51 +0000</pubDate><link>https://michaelshi.me/pareto/</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=46925432</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46925432</guid></item><item><title><![CDATA[New comment by mikeshi42 in "LLM Pareto Frontier"]]></title><description><![CDATA[
<p>I'm actually curious on the evolution of models as well over time - I created a "created at" group by option to try to broadly visualize how models over time (half calendar years) drift in terms of pareto efficiency. There's a clear trend going up which is good.<p>I hope to build some better visualizations down the line on model evolution instead of just hacking it onto the current scatterplot.</p>
]]></description><pubDate>Sun, 18 Jan 2026 20:40:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=46671932</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=46671932</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46671932</guid></item><item><title><![CDATA[LLM Pareto Frontier]]></title><description><![CDATA[
<p>Article URL: <a href="https://michaelshi.me/pareto/">https://michaelshi.me/pareto/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46671499">https://news.ycombinator.com/item?id=46671499</a></p>
<p>Points: 4</p>
<p># Comments: 2</p>
]]></description><pubDate>Sun, 18 Jan 2026 19:52:48 +0000</pubDate><link>https://michaelshi.me/pareto/</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=46671499</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46671499</guid></item><item><title><![CDATA[ClickHouse Acquires LibreChat]]></title><description><![CDATA[
<p>Article URL: <a href="https://clickhouse.com/blog/librechat-open-source-agentic-data-stack">https://clickhouse.com/blog/librechat-open-source-agentic-data-stack</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45841017">https://news.ycombinator.com/item?id=45841017</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 06 Nov 2025 22:02:17 +0000</pubDate><link>https://clickhouse.com/blog/librechat-open-source-agentic-data-stack</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=45841017</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45841017</guid></item><item><title><![CDATA[LLMs can't solve production issues]]></title><description><![CDATA[
<p>Article URL: <a href="https://clickhouse.com/blog/llm-observability-challenge">https://clickhouse.com/blog/llm-observability-challenge</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45279656">https://news.ycombinator.com/item?id=45279656</a></p>
<p>Points: 3</p>
<p># Comments: 1</p>
]]></description><pubDate>Wed, 17 Sep 2025 18:35:59 +0000</pubDate><link>https://clickhouse.com/blog/llm-observability-challenge</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=45279656</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45279656</guid></item><item><title><![CDATA[Can LLMs replace on-call SREs?]]></title><description><![CDATA[
<p>Article URL: <a href="https://clickhouse.com/blog/llm-observability-challenge">https://clickhouse.com/blog/llm-observability-challenge</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44903013">https://news.ycombinator.com/item?id=44903013</a></p>
<p>Points: 1</p>
<p># Comments: 1</p>
]]></description><pubDate>Thu, 14 Aug 2025 17:12:57 +0000</pubDate><link>https://clickhouse.com/blog/llm-observability-challenge</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=44903013</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44903013</guid></item><item><title><![CDATA[New comment by mikeshi42 in "The current state of LLM-driven development"]]></title><description><![CDATA[
<p>Yes, though that just means the probability of success is a function of not only user input but also the model version.<p>Slot machines on the other hand are truly random and success is luck based with no priors (the legal ones in the US anyways)</p>
]]></description><pubDate>Sun, 10 Aug 2025 16:34:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=44856313</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=44856313</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44856313</guid></item><item><title><![CDATA[New comment by mikeshi42 in "The current state of LLM-driven development"]]></title><description><![CDATA[
<p>There's plenty of evidence that good prompts (prompt engineering, tuning) can result in better outputs.<p>Improving LLM output through better inputs is neither an illusion, nor as easy as learning how to google (entire companies are being built around improving llm outputs and measuring that improvement)</p>
]]></description><pubDate>Sun, 10 Aug 2025 11:36:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=44854502</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=44854502</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44854502</guid></item><item><title><![CDATA[New comment by mikeshi42 in "Show HN: ClickStack – Open-source Datadog alternative by ClickHouse and HyperDX"]]></title><description><![CDATA[
<p>This is really helpful feedback, a few notes:<p>- Reorder columns: You should be able to do so by modifying the order of the SELECT statement at the top.<p>- Wrapping: totally agree - this is something we're adding in, it's on the near term todos.<p>- Pin fields: you're totally right, you can pin values but that doesn't prioritize the filter in general. I'm getting this one in the queue.<p>- Time picker: I hear you with Google Cloud's time picker, they did indeed make a really nice one. Though I'm curious to hear more about the breakdown, is it wanting to customize how that chart is grouped beyond log level?<p>- Autocomplete: We had a regression if you're on v2.0.0 which is what I suspect you're hitting. If you're on v2.0.1 lucene should have field value autocomplete. We don't have it yet for SQL.<p>- Live View: Can you clarify what is scrolling? Or is this about disabling live?<p>- Chart View: I just tried really quick and it seems okay to me, do you mind sharing more details?<p>- Sidebar: Is this related to field popularity to pin fields or something else?<p>This feedback is all super helpful - you can probably tell we're still early in building out the perfect experience. I'd love it if we could dive in deeper either on our discord (<a href="https://hyperdx.io/discord" rel="nofollow">https://hyperdx.io/discord</a>) or email: michael.shi@clickhouse.com. Either way this has been exceptionally helpful :)</p>
]]></description><pubDate>Wed, 11 Jun 2025 18:02:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=44250153</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=44250153</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44250153</guid></item><item><title><![CDATA[New comment by mikeshi42 in "Show HN: ClickStack – Open-source Datadog alternative by ClickHouse and HyperDX"]]></title><description><![CDATA[
<p>We think Grafana is still a great tool and many teams are heavily invested in the Grafana ecosystem. We'll continue to invest in Grafana support via ClickHouse's official Grafana plugin and that won't be changing at all with this release.<p>However, there's a bit of a fundamental difference in the user experience we're targeting. Grafana has really excelled at traditional monitoring dashboards, low cardinality monitoring workflows.<p>ClickHouse unlocks a newer paradigm of high cardinality, high performance observability. It enables a new set of workflows/UX that allows engineers to query novel problems quickly as opposed to working off of static dashboards. That's really a big focus of ours, so you'll see we do exploration/search/syntax/UI layout is quite different from Grafana due to this.<p>At this point it isn't even an original realization of ours. Just as an example, Shopify built a complete custom app (only keeping the auth part of Grafana) while migrating to ClickHouse for similar reasons.</p>
]]></description><pubDate>Wed, 11 Jun 2025 05:04:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=44244359</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=44244359</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44244359</guid></item><item><title><![CDATA[New comment by mikeshi42 in "Show HN: ClickStack – Open-source Datadog alternative by ClickHouse and HyperDX"]]></title><description><![CDATA[
<p>Ah sorry I missed that part of the question, yes MongoDB and ClickHouse are the two stateful services. We'll be looking to see if we can offer some mode to simplify it down to just ClickHouse but that'll take a bit more work.</p>
]]></description><pubDate>Sun, 08 Jun 2025 03:42:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=44214408</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=44214408</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44214408</guid></item><item><title><![CDATA[New comment by mikeshi42 in "Show HN: ClickStack – Open-source Datadog alternative by ClickHouse and HyperDX"]]></title><description><![CDATA[
<p>For getting started, we have a really easy to use helm chart that I'd recommend checking out first: <a href="https://clickhouse.com/docs/use-cases/observability/clickstack/deployment/helm" rel="nofollow">https://clickhouse.com/docs/use-cases/observability/clicksta...</a></p>
]]></description><pubDate>Sun, 08 Jun 2025 03:41:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=44214398</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=44214398</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44214398</guid></item><item><title><![CDATA[New comment by mikeshi42 in "Show HN: ClickStack – Open-source Datadog alternative by ClickHouse and HyperDX"]]></title><description><![CDATA[
<p>I've written up a detailed answer in a thread below earlier :) <a href="https://news.ycombinator.com/item?id=44196484">https://news.ycombinator.com/item?id=44196484</a></p>
]]></description><pubDate>Sun, 08 Jun 2025 02:51:57 +0000</pubDate><link>https://news.ycombinator.com/item?id=44214214</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=44214214</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44214214</guid></item><item><title><![CDATA[New comment by mikeshi42 in "Show HN: ClickStack – Open-source Datadog alternative by ClickHouse and HyperDX"]]></title><description><![CDATA[
<p>ClickStack is currently just open source - so there's no cloud or a fully hosted offering yet! (Of course you can always pair ClickStack with ClickHouse Cloud to have your ClickHouse hosted for you).<p>But in this case there's probably no reason for you :) These improvements will come to our cloud offering of course as we work on rolling out upgrades from HyperDX v1 to v2 in cloud.</p>
]]></description><pubDate>Fri, 06 Jun 2025 16:12:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=44202308</link><dc:creator>mikeshi42</dc:creator><comments>https://news.ycombinator.com/item?id=44202308</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44202308</guid></item></channel></rss>