<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: jacobr1</title><link>https://news.ycombinator.com/user?id=jacobr1</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Mon, 12 Oct 2026 08:25:22 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=jacobr1" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[HiddenLayer nabs $100M as enterprises rush to secure their AI deployments]]></title><description><![CDATA[
<p>Article URL: <a href="https://techcrunch.com/2026/09/02/hiddenlayer-nabs-100m-as-enterprises-rush-to-secure-their-ai-deployments/">https://techcrunch.com/2026/09/02/hiddenlayer-nabs-100m-as-enterprises-rush-to-secure-their-ai-deployments/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49540933">https://news.ycombinator.com/item?id=49540933</a></p>
<p>Points: 5</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 02 Sep 2026 19:09:31 +0000</pubDate><link>https://techcrunch.com/2026/09/02/hiddenlayer-nabs-100m-as-enterprises-rush-to-secure-their-ai-deployments/</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=49540933</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49540933</guid></item><item><title><![CDATA[New comment by jacobr1 in "Judge rules Trump administration’s blacklisting of Anthropic was illegal"]]></title><description><![CDATA[
<p>The main benefit to the fiction is limited liability. Without delegating to the corporation the responsibility for corporate actions would need to be defined as belonging to the owners, or all employees or some other structure where it all points to humans. If meta owes $18bn - I don't owe it - in the strong sense as a legal debt, as a shareholder in my 401k. The value of my ownership stake might go down (or up) but I don't have a shared legal obligation.</p>
]]></description><pubDate>Mon, 31 Aug 2026 01:25:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=49504611</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=49504611</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49504611</guid></item><item><title><![CDATA[New comment by jacobr1 in "New Mac Studio with M5 Max and M5 Ultra"]]></title><description><![CDATA[
<p>They still are, if what you want is roughly the same as the prior generations capability with some uplift (making then number up, but say 20% faster or more ram or whatever).<p>What is changing is that there genuine demand for more capabilities disproportionate to the cost decrease curve. Fab demand and supply constraints have slowed or even reversed some cost decreases - but that is still getting absorbed by the overall systems costs when you are looking at things like laptops. If you all you want is the last decades demand to browse the web and use office - things are cheaper than ever.</p>
]]></description><pubDate>Tue, 25 Aug 2026 14:02:32 +0000</pubDate><link>https://news.ycombinator.com/item?id=49434327</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=49434327</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49434327</guid></item><item><title><![CDATA[New comment by jacobr1 in "MAI-Cyber-1-Flash inside MDASH"]]></title><description><![CDATA[
<p>How much does the average knowledge worker actually use desktop apps anymore? At this point I would bet the super-majority of work is done in a browser, and secondarily electron-apps.</p>
]]></description><pubDate>Mon, 27 Jul 2026 21:40:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=49075856</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=49075856</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49075856</guid></item><item><title><![CDATA[New comment by jacobr1 in "StubHub, CEO hit with ‘deceptive practices’ class action over mass scalping"]]></title><description><![CDATA[
<p>+fees, though ideally the fees would be capped too</p>
]]></description><pubDate>Wed, 15 Jul 2026 01:06:59 +0000</pubDate><link>https://news.ycombinator.com/item?id=48914991</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=48914991</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48914991</guid></item><item><title><![CDATA[New comment by jacobr1 in "Nintendo has raised its employees base salary by 10%"]]></title><description><![CDATA[
<p>Wouldn't that be covered by using PPP comparisons rather than just market currency conversion rates?</p>
]]></description><pubDate>Thu, 02 Jul 2026 16:11:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=48763635</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=48763635</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48763635</guid></item><item><title><![CDATA[New comment by jacobr1 in "Nintendo has raised its employees base salary by 10%"]]></title><description><![CDATA[
<p>Demand for the big cities is still increasing pretty much everywhere, even if some countries are seeing net decrease in demand on the whole. Also remember that supply deteriorates. The number of "ready to move into" homes can decrease over time without maintenance and rebuilds.</p>
]]></description><pubDate>Wed, 01 Jul 2026 18:59:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=48751591</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=48751591</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48751591</guid></item><item><title><![CDATA[New comment by jacobr1 in "Words Are a Byproduct of Consciousness. For LLMs, It's Backwards"]]></title><description><![CDATA[
<p>Right - the point I was refuting is that LLMs are "just statistical models of words." More is going on. Does that imply "understanding?" I don't know, I'm not sure we have a good enough definition to say. But it does mean that the models are more complex that say, markov chain graphs with corpus frequencies. It seems we are encoding data in the latent space with much higher complexity than "just words." There is higher order semantic information being captured - probably not the same has human "thoughts" - but again - also not _just words_.</p>
]]></description><pubDate>Tue, 30 Jun 2026 15:31:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=48734184</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=48734184</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48734184</guid></item><item><title><![CDATA[New comment by jacobr1 in "US Supreme Court rules geofence warrants require constitutional protections"]]></title><description><![CDATA[
<p>The surprising bit is that 10% of Americans DO NOT own a smartphone. That must be exceedingly difficult. Increasingly everyday activities require them, without fallbacks. I presume those numbers exclude children, and then if you account for the infirm, it wouldn't surprise me if we started to get to universal levels of ownership.</p>
]]></description><pubDate>Tue, 30 Jun 2026 15:02:15 +0000</pubDate><link>https://news.ycombinator.com/item?id=48733709</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=48733709</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48733709</guid></item><item><title><![CDATA[New comment by jacobr1 in "Words Are a Byproduct of Consciousness. For LLMs, It's Backwards"]]></title><description><![CDATA[
<p>LLMs as clearly doing more than just modeling words. In order to predict word placement, they need to build some kind of model, their latent space, of the types of things they are able to predict. Not really full world models yet - but they have decent "blog space" or "github project" models. And you can see this with multimodality, or non-text modality modals such as images and audio. They map from their latent spaces to the outputs. The fact that multi-modal systems can share the interior layers shows some kind of internal representation is created.</p>
]]></description><pubDate>Tue, 30 Jun 2026 14:38:42 +0000</pubDate><link>https://news.ycombinator.com/item?id=48733328</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=48733328</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48733328</guid></item><item><title><![CDATA[New comment by jacobr1 in "Apple Core AI Framework"]]></title><description><![CDATA[
<p>The new siri models will be some variant of the gemini models. This framework seems to be more generalized than that though.</p>
]]></description><pubDate>Tue, 09 Jun 2026 02:04:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=48455298</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=48455298</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48455298</guid></item><item><title><![CDATA[New comment by jacobr1 in "Agentic Trading with Safe Guardrails"]]></title><description><![CDATA[
<p>Where are the "Safe Guardrails" ?</p>
]]></description><pubDate>Mon, 18 May 2026 04:19:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=48175539</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=48175539</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48175539</guid></item><item><title><![CDATA[New comment by jacobr1 in "A.I. note takers are making lawyers nervous"]]></title><description><![CDATA[
<p>Older ML systems were much better at exposing their internal confidence. Plenty of papers reverse out this kind of interpretability for open weight models. All the models exposed logprobs early on. This seems solvable if prioritized. The unintelligible words should be lower confidence. Getting per-token data for the output that aids with understanding the predictions is entirely feasible as engineering effort - it just won't be enough to address all the problems - but it should help quite a bit.</p>
]]></description><pubDate>Mon, 11 May 2026 16:48:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=48097429</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=48097429</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48097429</guid></item><item><title><![CDATA[New comment by jacobr1 in "Google Gemma 4 Runs Natively on iPhone with Full Offline AI Inference"]]></title><description><![CDATA[
<p>well, technically they can ...</p>
]]></description><pubDate>Wed, 15 Apr 2026 17:41:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=47782527</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=47782527</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47782527</guid></item><item><title><![CDATA[New comment by jacobr1 in "FreeBSD doesn't have Wi-Fi driver for my old MacBook, so AI built one for me"]]></title><description><![CDATA[
<p>I half agree. But two points: 1) if you can formalize your instructions ... then future instances can be fully automated. 2) You are still probably having the AI perform many sub-tasks. AI-skeptics regularly fall into this god-of-the-gaps trap. You aren't wrong that human-augmented AI isn't 100% AI ... but it still is AI-augmentation, and again, that sets the stage for point 1 - to enable later future full automation on long enough timecycles.</p>
]]></description><pubDate>Mon, 23 Feb 2026 23:41:33 +0000</pubDate><link>https://news.ycombinator.com/item?id=47130693</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=47130693</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47130693</guid></item><item><title><![CDATA[New comment by jacobr1 in "Ladybird adopts Rust, with help from AI"]]></title><description><![CDATA[
<p>There is a lot to be done with good prompting.<p>Early on, these code agents wouldn't do basic good hygiene things, like check if the code compiled, avoid hallucinating weird modules, writing unit tests. And people would say they sucked ....<p>But if you just asked them to do those things: "After you write a file lint it and fix issues. After you finish this feature, write unit tests and fix all issues, etc ..."<p>Well, then they did that, it was great! Later the default prompts of these systems included enough verbiage to do that, you could get lazy again. Plus the models are are being optimized to know to do some of these things, and also avoid some bad code patterns from the start.<p>But the same applies to performance today. If you ask it to optimize for performance, to use a profiler, to analyze the algorithms and systemically try various optimization approaches ... it will do so, often to very good results.</p>
]]></description><pubDate>Mon, 23 Feb 2026 23:31:37 +0000</pubDate><link>https://news.ycombinator.com/item?id=47130600</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=47130600</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47130600</guid></item><item><title><![CDATA[New comment by jacobr1 in "FreeBSD doesn't have Wi-Fi driver for my old MacBook, so AI built one for me"]]></title><description><![CDATA[
<p>Except it often is the case that when you break down what humans are doing, there are actual concrete tasks. If you can convert the tacit knowledge to decision trees and background references, you likely can get the AI to perform most non-creative tasks.</p>
]]></description><pubDate>Mon, 23 Feb 2026 23:14:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=47130412</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=47130412</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47130412</guid></item><item><title><![CDATA[New comment by jacobr1 in "Global Intelligence Crisis"]]></title><description><![CDATA[
<p>Normal isn't a myth. The mistake people make is taking the mode as normal, or worse mistaking their own experience as normal. But humans generally do tend to have a range of common behaviors that a significant percentage of people fit into. And you probably can even predict it to a reasonable degree, if you have some other metadata to correlate which sub-group they might correspond to.<p>Normal in the sense of "you can model a distribution of human behavioral processes or outcomes" that encompasses, say, 95% of humans in a given culture or geography is very much a thing you can do. And I'd go as far as to say a large chunk of the mental bandwidth of the average person is running those simulation models just to operate in a multi-human-agent world.<p>(If you want to say we observe bimodal or other multi-peaked distributions in practices rather than "normal" ones, I will strongly agree, but that usually isn't the objection when people say  "normal is a myth")</p>
]]></description><pubDate>Mon, 23 Feb 2026 18:19:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=47126395</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=47126395</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47126395</guid></item><item><title><![CDATA[New comment by jacobr1 in "Global Intelligence Crisis"]]></title><description><![CDATA[
<p>Yep.<p>ChatAI - show the top 50 online retailers by revenue in the US and note any that have credible new stories about quality control issues. Save all of them except StoreX and StoreY in your list you use for comparison shopping.<p>Or maybe another one, scan all my credit card purchases for all time that you have history and record all the stores.<p>Done. And plenty of third party sites (consumer reports, wirecutter, etc...) will do this kind of thing too. And you could perhaps transitively trust them - either view direct lists or just scraping the places they recommend.<p>And the average person doesn't need to figure this out ... skills encoding this will propagate.</p>
]]></description><pubDate>Mon, 23 Feb 2026 18:10:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=47126226</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=47126226</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47126226</guid></item><item><title><![CDATA[New comment by jacobr1 in "Launch HN: AgentMail (YC S25) – An API that gives agents their own email inboxes"]]></title><description><![CDATA[
<p>Unless they have agents reading those emails and responding ...</p>
]]></description><pubDate>Thu, 29 Jan 2026 20:30:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=46816132</link><dc:creator>jacobr1</dc:creator><comments>https://news.ycombinator.com/item?id=46816132</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46816132</guid></item></channel></rss>