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Neural CAs model self-organizing pattern formation. Now they can generate patterns at HD resolution in real-time, enabled by turning each CA cell into a Neural Field. Try 3 demos: grow a pattern from a seed (and damage it, it heals), synthesize PBR textures that can regenerate, or create 3D textures like clouds. Comments URL: https://news.ycombinator.com/item?id=48567877 Points: 40 # Comments: 0

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Bootstrapped Linux box-botherer flogs new Thelio kit, talks up COSMIC, and politely declines to bolt AI onto everything

Article URL: https://www.independent.co.uk/news/world/americas/us-politics/elon-musk-grok-ai-iran-missiles-pentagon-b2997321.html Comments URL: https://news.ycombinator.com/item?id=48567771 Points: 4 # Comments: 0

Article URL: https://www.infoq.com/news/2026/06/oracle-genai-policies/ Comments URL: https://news.ycombinator.com/item?id=48567765 Points: 1 # Comments: 0

<p> The AI company brain that does work for you </p> <p> <a href="https://www.producthunt.com/products/adapt-3?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1174117?app_id=339">Link</a> </p>

Article URL: https://artificialanalysis.ai/articles/glm-5-2-is-the-new-leading-open-weights-model-on-the-artificial-analysis-intelligence-index Comments URL: https://news.ycombinator.com/item?id=48567759 Points: 96 # Comments: 26

Article URL: https://www.day1training.com/ Comments URL: https://news.ycombinator.com/item?id=48567755 Points: 2 # Comments: 0

<p>In the AI era, something funny is happening: side projects that have been collecting dust in <code>~/code/wishful-thinking/</code> are getting dusted off. Suddenly that "someday I'll write this" repo on GitHub has a real README, a working CI, and three open issues you actually want to close.</p> <p>Why? Because the AI doesn't complain. Doesn't get bored. Doesn't ask "but why do we need this when we have X?" at 11pm when all you want is to feel better with yourself, when your children are on t

<p>Cart price rules are one of Magento's most powerful marketing features — and one of the fastest ways to tank your store's performance if you're not careful.</p> <p>When you have hundreds of active rules, millions of coupon codes, or complex conditions spanning multiple product attributes, every cart update can trigger an expensive rule validation cycle that turns a smooth checkout into a sluggish mess.</p> <p>In this guide, I'll walk you through why cart price rules slow things down, how to m

<p>I was going through my server logs last month when I noticed something I'd been scrolling past for weeks. Buried in the bot traffic were names I vaguely recognised: <code>GPTBot</code>. <code>ClaudeBot</code>. <code>meta-externalagent</code>. <code>PerplexityBot</code>. Multiple visits daily, methodically working through different pages of my technical blog.</p> <p>The reflex most developers have at this point including me, initially is to block them. There's an entire category of articles re

<p>If you've Googled this, you've probably already used both and still aren't sure which one to trust with your actual codebase. Here's my concrete answer after running both through real code review workflows: <strong>they're good at different things, and picking the wrong one for the job costs you time.</strong> Here's exactly how to choose.</p> <h2> The Core Difference That Matters for Code Review </h2> <p>ChatGPT (GPT-4o) is faster and more conversational. It's excellent at quick back-and-for

<p>I shipped an AI agent last year that looked perfect in every demo. Then it hit production traffic and started failing silently, no errors, no crashes, just empty responses and confused users.</p> <p>The worst part? It took me three days to find out why.</p> <p>Here's what I learned about building agents that don't fail quietly, and the exact patterns I now use to catch failures before they reach users.</p> <h2> Why Agents Fail in Ways Normal Apps Don't </h2> <p>Most developers know how to han

<p>I'm starting an Electronics and Communication Engineering degree this year, and a few weeks before classes began I decided to build something real instead of waiting for a syllabus to tell me what to learn: a model that detects abnormal heartbeats from raw ECG signal, small enough to run on a microcontroller, not a cloud GPU.</p> <p>The first version of this project hit 98% accuracy. That number was almost meaningless, and it took me two separate rounds of being wrong to find out why.</p> <p>

<pre style='white-space:pre-wrap;width:81ex'>refactor(wizard): hide prompt session types</pre>

DeepSeek is available in the U.S. for now, the U.S. government reportedly holding off on banning the Chinese AI company.

Article URL: https://www.aikido.dev/blog/multiple-jetbrains-ide-plugins-caught-stealing-ai-keys Comments URL: https://news.ycombinator.com/item?id=48567638 Points: 4 # Comments: 0

Article URL: https://belderbos.dev/blog/jeff-haemer-agentic-ai-cohort/ Comments URL: https://news.ycombinator.com/item?id=48567620 Points: 1 # Comments: 0

https://blog.seaticket.ai/your-dev-teams-support-email-problem-is-a-coordination-problem-c15d72997c6a Comments URL: https://news.ycombinator.com/item?id=48567611 Points: 1 # Comments: 0

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1u84mio/nextlatent_prediction_transformers_r/"> <img src="https://preview.redd.it/efm7zazr2t7h1.png?width=140&height=90&auto=webp&s=c1b7070ca3de62bdc276d7a185c72f6737e6f92e" alt="Next-Latent Prediction Transformers [R]" title="Next-Latent Prediction Transformers [R]" /> </a> </td><td> <!-- SC_OFF --><div class="md"><p><a href="https://preview.redd.it/efm7zazr2t7h1.png?width=2950&format=png&auto=webp&s=444dc71b22bca0c499f

<pre style='white-space:pre-wrap;width:81ex'>Expose verified ClawHub source in skill verify output (#93532) * fix(skills): expose verified ClawHub source in verify output * fix(ci): repair verify check regressions * fix(ci): refresh prompt snapshots * fix(skills): require pinned ClawHub verify commits</pre>

Comments URL: https://news.ycombinator.com/item?id=48567486 Points: 1 # Comments: 0

Open Prism is a local-first LaTeX editor that lets your authenticated Claude CLI write, fix, compile, preview, and export PDFs without putting API keys in the app. Comments URL: https://news.ycombinator.com/item?id=48567469 Points: 1 # Comments: 1

Article URL: https://blog.mozilla.org/en/firefox/ai-tab-groups/ Comments URL: https://news.ycombinator.com/item?id=48567405 Points: 2 # Comments: 0

Article URL: https://www.ft.com/content/2dbdf635-7bbc-430d-96ef-ea893e754b6e Comments URL: https://news.ycombinator.com/item?id=48567400 Points: 1 # Comments: 0

Article URL: https://www.wsj.com/tech/ai/anthropic-mythos-safety-nicholas-carlini-20bceaa3 Comments URL: https://news.ycombinator.com/item?id=48567357 Points: 2 # Comments: 0

Article URL: https://nextweekai.com/blog/claude-code-27-skills-ai-engineering-team/ Comments URL: https://news.ycombinator.com/item?id=48567320 Points: 2 # Comments: 0

He has a lot to say when given the opportunity. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

Article URL: https://openreview.net/pdf?id=0wSlFpMsGb Comments URL: https://news.ycombinator.com/item?id=48567122 Points: 3 # Comments: 0

As many as 144 npm packages associated with the Mastra namespace ("@mastra/*"), a popular open-source JavaScript and TypeScript framework for building artificial intelligence (AI) applications, have been compromised as part of a software supply chain attack codenamed easy-day-js, per findings from JFrog, SafeDep, Socket, and StepSecurity. "A single npm account (ehindero) mass-published more

Article URL: https://artificialanalysis.ai/models/glm-5-2 Comments URL: https://news.ycombinator.com/item?id=48567004 Points: 8 # Comments: 0

Comments

Fear and even grief are natural reactions to machines that do your job. The next reactions – acceptance and innovation – are more useful

Article URL: https://fig0.ai/ Comments URL: https://news.ycombinator.com/item?id=48566441 Points: 1 # Comments: 0

<p> Computational language built for humans and AI agents </p> <p> <a href="https://www.producthunt.com/products/wolfram-mathematica?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1173951?app_id=339">Link</a> </p>

OpenAI introduced Deployment Simulation on June 16, 2026. The method replays past conversations through a new candidate model before release. It then grades the completions to estimate deployment-time rates of undesired behavior. We break down how the pipeline works, the reported 1.5x median multiplicative error, and its limits. The post OpenAI’s Deployment Simulation Extends Pre-Deployment Risk Assessment to Agentic Coding Through Simulated Tool Calls appeared first on MarkTechPost .

<!-- SC_OFF --><div class="md"><p>Character AI, founded by former Google/LaMDA developers Noam Shazeer and Daniel De Freitas, proved that text-based character chat can work as a real entertainment category.</p> <p>But the next chapter might not be better text chat. It might be real-time video interaction.</p> <p>Mel AI recently shared a demo of AI character video chat, and the interesting part is the interaction stack: voice, lip sync, facial reactions, and camera-aware responses instead of just

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If aliens are not here, are they out there? ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

Article URL: https://finmindai-moneyverse.vercel.app/ Comments URL: https://news.ycombinator.com/item?id=48565890 Points: 2 # Comments: 0