<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: saberience</title><link>https://news.ycombinator.com/user?id=saberience</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 07 Oct 2026 05:33:29 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=saberience" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by saberience in "Mistral Large 4"]]></title><description><![CDATA[
<p>I mean, Mistral is about 9-12 months behind here when you look at its overall benchmarks versus the models released around a year ago.</p>
]]></description><pubDate>Tue, 06 Oct 2026 14:18:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=49978900</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49978900</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49978900</guid></item><item><title><![CDATA[New comment by saberience in "Mistral Large 4"]]></title><description><![CDATA[
<p>Looks like it's about a year behind still. i.e. its intelligence is behind models from roughly a year ago.<p><a href="https://www.vals.ai/benchmarks/vals_index" rel="nofollow">https://www.vals.ai/benchmarks/vals_index</a></p>
]]></description><pubDate>Tue, 06 Oct 2026 13:32:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=49978204</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49978204</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49978204</guid></item><item><title><![CDATA[New comment by saberience in "Beam: Reflection's 501B open-weight model"]]></title><description><![CDATA[
<p>What you're talking about is not synthetic data. Synthetic data is data generated by an LLM. If the data is generated by a human, it's not synthetic.<p>You're talking about real data created and curated by humans to help in training LLMs.</p>
]]></description><pubDate>Tue, 06 Oct 2026 08:46:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=49975906</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49975906</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49975906</guid></item><item><title><![CDATA[New comment by saberience in "Decision models like Jev don't beat LLM-as-a-judge or traditional classifiers"]]></title><description><![CDATA[
<p>No shit its cheaper and faster, thats the case with every small model.<p>It's a trade off between wanting something dumber but fast and cheap, or something slower and more expensive that is vastly more capable and smarter.</p>
]]></description><pubDate>Mon, 05 Oct 2026 13:48:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=49964883</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49964883</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49964883</guid></item><item><title><![CDATA[New comment by saberience in "Decision models like Jev don't beat LLM-as-a-judge or traditional classifiers"]]></title><description><![CDATA[
<p>This is hocus-pocus, Jev is basically a dumber LLM constrained to certain problems, it's not magic.<p>Jev's "confidence" scores are just as valid as an LLMs confidence score, i.e. just as likely to be wrong or hallucinated as any LLM.<p>Ultimately, people are somehow thinking Jev is mysteriously more likely to be right when ultimately it's another non-deterministic magic box except this time with a stricter interface slapped on top of it.</p>
]]></description><pubDate>Mon, 05 Oct 2026 13:46:58 +0000</pubDate><link>https://news.ycombinator.com/item?id=49964850</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49964850</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49964850</guid></item><item><title><![CDATA[New comment by saberience in "People hooked on vapes try a new way to quit: cigarettes"]]></title><description><![CDATA[
<p>I've vaped so much I've physically thrown up, and that never happened with smoking. In fact, I've vaped until I've not been able to walk I've been so dizzy.<p>Vaping is equivalent to shooting heroin or doing crack, it's so much more intense and addictive than smoking. I found quitting smoking to be incredibly easy compared to quitting vaping.</p>
]]></description><pubDate>Wed, 23 Sep 2026 10:50:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=49814121</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49814121</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49814121</guid></item><item><title><![CDATA[New comment by saberience in "People hooked on vapes try a new way to quit: cigarettes"]]></title><description><![CDATA[
<p>Vaping to smoking is like shooting heroin is to doing a line of coke. And I say this as someone who has smoked and vaped.<p>Smoking is addictive and was kinda hard to quit. Vaping is insanely, insanely addictive and about 100X as hard to quit (for me anyway). It took me about 3 tries to quit smoking. Its taken me about 100 attempts to quit vaping.<p>Also, you end up vaping all day and night since there is no reason you can't do it anywhere. In the toilet at work? Vaping. In bed at night, Vaping. Jerking off? Vaping.<p>It's just insanely bad.</p>
]]></description><pubDate>Wed, 23 Sep 2026 10:48:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=49814109</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49814109</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49814109</guid></item><item><title><![CDATA[New comment by saberience in "OpenAI is well positioned to fast-follow Jev"]]></title><description><![CDATA[
<p>Jev is just as non deterministic as any llm.<p>That is, if you force any llm to return json and a confidence it can also do that too and mostly likely it will he better at any one shot classification task than Jev.<p>LLMs have the great quality of knowing more due to the depth and richness of the training data. If Jev is trying to classify anything outside of its training data, it’s going to do a terrible job.</p>
]]></description><pubDate>Tue, 22 Sep 2026 18:01:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=49805531</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49805531</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49805531</guid></item><item><title><![CDATA[New comment by saberience in "OpenAI GPT–6 Astra breaks Enigma message that has resisted solution since 2005"]]></title><description><![CDATA[
<p>How many of these "news" articles are we going to get?<p>This for me, isn't interesting, it required no skill, no imagination, in fact it seemed like it happened by dumb luck.<p>So we have entered an age where an army of know-nothings direct models to old forgotten tasks so they can get 15 minutes of un-deserved attention?</p>
]]></description><pubDate>Tue, 22 Sep 2026 14:08:32 +0000</pubDate><link>https://news.ycombinator.com/item?id=49801551</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49801551</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49801551</guid></item><item><title><![CDATA[New comment by saberience in "Nvidia announces native GPU programming in Rust"]]></title><description><![CDATA[
<p>I’ve been texting since it was first a thing (sms on Nokia phones) and no one I knows does this. We just say shit, fuck, and crap.</p>
]]></description><pubDate>Thu, 17 Sep 2026 06:50:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=49737243</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49737243</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49737243</guid></item><item><title><![CDATA[New comment by saberience in "Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher"]]></title><description><![CDATA[
<p>This was a basic cypher that effectively no one cared about. It wasn't famous or particularly notable.<p>I would say, the only reason it was never solved was because not enough people actually cared about it to begin with.<p>This isn't a big accomplishment.</p>
]]></description><pubDate>Mon, 14 Sep 2026 11:04:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=49694894</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49694894</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49694894</guid></item><item><title><![CDATA[New comment by saberience in "Nvidia dismisses "circular financing", says every $1 it invests brings back $100"]]></title><description><![CDATA[
<p>I've spent several 1000 dollars on AI products this month, roughly 3000 dollars.<p>Trust me, there are many other people like me in the world and the enterprises are spending even more.<p>There is more money flowing into the overall AI ecosystem (by far) than the money Nvidia puts in.<p>The idea that Nvidia is artificially creating the whole demand is laughable and doesn't add up.</p>
]]></description><pubDate>Sun, 13 Sep 2026 13:32:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=49683816</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49683816</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49683816</guid></item><item><title><![CDATA[New comment by saberience in "Nvidia dismisses "circular financing", says every $1 it invests brings back $100"]]></title><description><![CDATA[
<p>All of what you said is totally wrong and deluded.<p>The amount of money Nvidia has put into the ecosystem is much, much less than money coming into the ecosystem from actual customers who are willing to pay for the products!<p>The idea that somehow Nvidia is financing the entire AI industry is laughable. The numbers do not add up at all if you look at the numbers of people paying for Google cloud GPU compute, AWS GPUs, Azure GPUs, Nebius, Coreweave, etc, not even including companies like Fireworks, BaseTen, Together AI, etc .<p>The reality is this, enterprise companies are spending HUGE amounts of their money on AI products because they are gaining value from them. This money (which doesn't originate from Nvidia) is flowing into the ecosystem. The money being spent by enterprises combined is far, far more than Nvidia puts in.</p>
]]></description><pubDate>Sun, 13 Sep 2026 13:29:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=49683783</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49683783</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49683783</guid></item><item><title><![CDATA[New comment by saberience in "Nvidia dismisses "circular financing", says every $1 it invests brings back $100"]]></title><description><![CDATA[
<p>You could have said this about Google's Search product...<p>How much would the average normie pay if Google suddenly charged? Sure the user-base would drop.<p>And what? Did Google suddenly become a bad business?<p>I find it funny how people have these strange and hypocritical viewpoints when it comes to OpenAI and Anthropic when the hyperscalars like Google, Amazon etc, followed these exact same kinds of playbooks for years and years.</p>
]]></description><pubDate>Sun, 13 Sep 2026 13:25:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=49683742</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49683742</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49683742</guid></item><item><title><![CDATA[New comment by saberience in "A misalignment of AI in mathematics"]]></title><description><![CDATA[
<p>Underrated comment</p>
]]></description><pubDate>Fri, 11 Sep 2026 19:22:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=49663930</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49663930</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49663930</guid></item><item><title><![CDATA[New comment by saberience in "Bending Spoons buying Miro for $1.355B"]]></title><description><![CDATA[
<p>I personally loved Miro, probably one of the best design tools I've ever used.<p>My old company used it across the board for basically, everything. Engineering flow diagrams, UI prototyping, team retrospectives.<p>I personally often used it for creating diagrams that I would later insert into slide decks.<p>It was basically a swiss-army knife type tool which could be applied in so many situations.<p>Deeply saddened that it's going to Bendingspoons, where companies go to die.</p>
]]></description><pubDate>Thu, 10 Sep 2026 14:26:39 +0000</pubDate><link>https://news.ycombinator.com/item?id=49644282</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49644282</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49644282</guid></item><item><title><![CDATA[New comment by saberience in "Show HN: What if the speed of light was 5 km/h?"]]></title><description><![CDATA[
<p>Going from a million to a billion isn't some special relationship. It's just * 1000. It's the same as going 1<i>1000 or 10</i>1000.<p>I find it frustrating that people seem to think that someone going from 1M to 1B is somehow different to other numerical operations. It's not. It's 1000 times bigger, it's not a huge deal.</p>
]]></description><pubDate>Thu, 10 Sep 2026 10:57:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=49641592</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49641592</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49641592</guid></item><item><title><![CDATA[New comment by saberience in "iPhone Duo"]]></title><description><![CDATA[
<p>The iPhone Air completely failed though in terms of sales/popularity.<p>Apple these days has completely lost touch with what people actually want.</p>
]]></description><pubDate>Wed, 09 Sep 2026 20:19:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=49633586</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49633586</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49633586</guid></item><item><title><![CDATA[New comment by saberience in "iPhone Duo"]]></title><description><![CDATA[
<p>Personally I think it looks both incredibly ugly and also really non ergonomic.<p>I can’t see it being comfortable to hold and type on at all.<p>I predict the form factor will be gone within two years.</p>
]]></description><pubDate>Wed, 09 Sep 2026 20:13:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=49633502</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49633502</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49633502</guid></item><item><title><![CDATA[New comment by saberience in "Is mathematics about to enter the conservatory?"]]></title><description><![CDATA[
<p>As someone who's been close to several opera singers (long story), I would say that the amount of opera singers who don't have side gigs in teaching or otherwise is very, very small.<p>Yes, if you're one of the few world famous sopranos you don't need to teach, but most singers are not world-famous. I knew one singer who toured internationally, had sung in front of thousands of people, had sung with world famous people, etc. But who lived in shared accomodation and worked several other part-time jobs to make ends meet.</p>
]]></description><pubDate>Mon, 07 Sep 2026 15:39:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=49599614</link><dc:creator>saberience</dc:creator><comments>https://news.ycombinator.com/item?id=49599614</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49599614</guid></item></channel></rss>