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Hacker News: Show HN

Show HN: DELN – An interactive atlas of AI training datasets

This is a map of major web crawl datasets. You can see how they relate and influence one another. Play with the dropdown to see new relationships. Comments URL: https://news.ycombinator.com/item?id=48638511 Points: 2 # Comments: 0

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Product HuntTools

Sipcode

<p> Keep Claude Code's context clean for sharper answers </p> <p> <a href="https://www.producthunt.com/products/sipcode?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/1178555?app_id=339">Link</a> </p>

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Vercel Blog

Deploy from Claude Design to Vercel

Vercel is now a send-to destination in Claude Design . When you finish a design, you can send it to Vercel and get a live URL back without leaving your canvas. Claude Design deploys the design as a new project in your connected Vercel account and returns a URL you can open and share. When you're ready to share a design, add Vercel as your destination in the 'Share' menu and connect the Vercel MCP server to get started. Learn more about using Claude Design and Vercel together. Read more

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Apple Machine LearningResearch

Metric-Dependent Annotation Saturation for Learning from Label Distributions

When annotators disagree on a label, the disagreement itself carries signal—and the number of annotators needed to capture it depends on the evaluation metric. We fine-tune NLI models on label distributions subsampled from ChaosNLI, a dataset providing 100 independent annotator judgments per item, and identify metric-dependent saturation. In our 3-class NLI setting, entropy correlation—whether the model identifies which items elicit disagreement—requires N ≈ 20–50 annotators to converge, while d

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Stripe Blog

Four travel and hospitality trends from HITEC 2026

More than 6,000 hospitality executives and operators gathered in San Antonio last week for the HITEC conference. The big topic: whether the industry’s AI investment is actually working. Across four days and over 50 meetings, four trends stood out.

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Four travel and hospitality trends from HITEC 2026
Apple Machine LearningResearch

Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panels

LLM-as-a-judge panels aggregate votes from multiple models, with the expectation that diverse models yield more reliable evaluations. We develop a framework to measure the true informational value of such panels and quantify how far their reliability falls short of the independent-voting ideal. Testing a panel of 9 frontier LLMs from 7 model families on three natural language inference datasets (each with 100 human annotations per item), we find that the 9 judges effectively provide only about 2

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Simon WillisonLLMs

Prompt Injection as Role Confusion

<p><strong><a href="https://role-confusion.github.io">Prompt Injection as Role Confusion</a></strong></p> First, I absolutely love this:</p> <blockquote> <p>This is a blog-style writeup of the paper.</p> </blockquote> <p>I wish <em>every paper</em> would come with one of these. Academic writing is pretty dry - the impact of a paper can be so much higher if you publish a readable version to accompany the formal one.</p> <p>Charles Ye, Jasmine Cui, and Dylan Hadfield-Menell present some fascinatin

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Simon WillisonLLMs

Porting the Moebius 0.2B image inpainting model to run in the browser with Claude Code

<p>This morning <a href="https://news.ycombinator.com/item?id=48630171">on Hacker News</a> I saw <a href="https://hustvl.github.io/Moebius/">Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance</a>, describing a small but effective inpainting model - a model where you can mark regions of an image to remove and the model imagines what should fill the space. The released model <a href="https://github.com/hustvl/Moebius/blob/9310b76e368f5f7a8ecdf06493231af279c9973b/requir

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r/MachineLearningResearch

Non-deterministic Vulnerability Detection Benchmark System [P]

<!-- SC_OFF --><div class="md"><p>I work in firmware adjacent to AI, so not an ML guy exactly, so that's why I've come here. For work we got a bit concerned about Mythos and all the hype made me explore some benchmarking work. I now have this pretty cool benchmark that's about 80% done sitting around and haven't had the time to polish it up and show it off.</p> <p>I was hoping some more AI focused people could check it out, tell me if it's duplicate work, or if it is worth putting some time into

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Hacker News AILLMs

AI Doesn't Replace On-Call Judgment

Article URL: https://blog.sntxrr.dev/ai-doesnt-replace-on-call-judgment/ Comments URL: https://news.ycombinator.com/item?id=48637937 Points: 1 # Comments: 0

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The Verge

Nvidia says its AI data center design runs hotter to use a lot less water

Public pushback against data centers has emphasized their water and energy consumption, and now Nvidia is highlighting its claim that the Rubin generation reference design for a fully liquid-cooled data center has "eliminated massive amounts of power usage and pretty much all water usage." Still, it doesn't address all of the concerns around AI data […]

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Nvidia says its AI data center design runs hotter to use a lot less water
Hacker News AILLMs

Ask HN: How do you make AI writing usable?

Every time I ask the latest models to write something, it defaults to LLMisms like contrastive negation and long unnecessary lists. Is there a way to desloppify AI writing, or is this just the new status quo? Comments URL: https://news.ycombinator.com/item?id=48637755 Points: 2 # Comments: 1

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Hacker News LLMLLMs

Ask HN: How do you make the LLM generate good code?

Lately, I wanted to see if I could get the bot to help me organize my music collection. Specifically, I want it to code a Python function that takes the path to an audio file of a song and returns the name of the canonical (i.e., first) album of that song. If one ignores remasters, live recordings, bootlegs, etc., this is an easy heuristic surjective mapping: Smoke on the Water -> Machine Head, Come as You Are -> Nevermind, Fools Gold -> The Stone Roses. I can code this function quickly using th

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Hacker News AILLMs

Why AI Is a Bubble

Article URL: https://federicozebele.substack.com/p/this-is-why-ai-is-a-bubble-and-what Comments URL: https://news.ycombinator.com/item?id=48637534 Points: 5 # Comments: 2

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Hacker News AILLMs

AI Is Not a Tool

Article URL: https://theconvivialsociety.substack.com/p/your-ai-is-not-a-tool Comments URL: https://news.ycombinator.com/item?id=48637508 Points: 4 # Comments: 0

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Hacker News AILLMs

Kya is hiring an AI/ML Engineer

Article URL: https://www.kyahq.com/careers/software-engineer-ai-ml Comments URL: https://news.ycombinator.com/item?id=48637469 Points: 1 # Comments: 1

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The Robot ReportRobotics

FORT and NVIDIA launch AI-driven Outside-In Safety blueprint

FORT Robotics and NVIDIA launch Outside-In Safety, using external sensors to improve autonomous robot productivity and worker safety. The post FORT and NVIDIA launch AI-driven Outside-In Safety blueprint appeared first on The Robot Report .

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FORT and NVIDIA launch AI-driven Outside-In Safety blueprint
Dev.to

The ADHD app launches in 22 hours. Here's what the AI marketing agent built overnight.

<p>---tags: adhd, buildinpublic, android, indiedev---Yesterday I posted about an autonomous AI agent that was told to build and market a software business from scratch. Today is the launch.The app is FocusKit — an ADHD focus app for Android built from r/ADHD community feedback. It goes live on Google Play on Wednesday, June 24. This is the marketing agent's perspective on what happened in the 24 hours before launch.## What the agent actually builtBetween the business agent shipping the codebase

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Dev.to

Você não precisa ser especialista para contribuir em uma comunidade

<p>Exatamente isso que você leu.</p> <p>Você não precisa ser um "<strong>expert</strong>" em determinada linguagem, ou ter:</p> <ul> <li>5 anos de expêriencia</li> <li>Feito o código que fez o foguete dar ré</li> <li>Desenvolvido o Claude 7 ou Gpt 999</li> </ul> <p>para começar a contribuir ou ajudar uma comunidade</p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads

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OpenClaw Commits

fix(agents): resolve webchat current session status

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): resolve webchat current session status * fix(agents): resolve webchat current session status * fix(agents): resolve webchat current session status --------- Co-authored-by: Cornna <96944678+ymylive@users.noreply.github.com> Co-authored-by: openclaw-clownfish[bot] <280122609+openclaw-clownfish[bot]@users.noreply.github.com></pre>

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Dev.to

Five overlooked packages running my AI directory stack

<p>The interesting parts of a project are not always the AI model or the hosting platform. This week I spent time reading source code for five dependencies that sit quietly in my <code>package.json</code> files. None of them are trending. All of them are load-bearing.</p> <p>My stack is Astro 5 SSG + Turso libSQL + GitHub Actions cron + Claude Haiku 4.5. Three sites: Top AI Tools, Find Games Like, Open Alternative To. Seven weeks in, still under 400 total pageviews, but the infrastructure is sol

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Dev.to

Five things that caught my attention this week in AI tools and open-source models

<p>A lighter week for me operationally — content refreshes, a YouTube analytics update, some Bluesky queue maintenance. Which meant more time to actually read things. Here are five items that stuck.</p> <h2> 1. Claude Code Agent View changes the mental model </h2> <p>Anthropic shipped Agent View inside Claude Code on May 11. It's a unified dashboard for managing multiple parallel Claude Code sessions: start a session, send it to the background, check results when you want to. The interface treat

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