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Article URL: https://ajeygore.in/content/the-anatomy-of-an-ai-native-org Comments URL: https://news.ycombinator.com/item?id=48622815 Points: 33 # Comments: 35

Article URL: https://apertvs.ai/ Comments URL: https://news.ycombinator.com/item?id=48622778 Points: 96 # Comments: 24

<p>Meeting notes are the feature everyone wants and nobody wants to build. The hard part isn't the summary — an LLM handles that. The hard part is getting into the meeting: a bot that joins Zoom, Google Meet, and Microsoft Teams, survives each platform's waiting room and admission flow, records cleanly, and produces a transcript you can feed downstream. Each provider has its own join mechanics, and none of them ships a tidy "record this meeting" API.</p> <p>The Nylas Notetaker API is that bot as

Article URL: https://msgmaster.ca/ Comments URL: https://news.ycombinator.com/item?id=48622727 Points: 3 # Comments: 0

<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%2Farticles%2Fqv7kob7nod3to5erb7g8.jpg" class="article-body-image-wrapper"><img src="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%2Farticles%2Fqv7kob7nod3to5erb7g8.jpg" alt=" " width="800" height="5

<p><em>If you're building a SaaS AI agent product and you're already on Kinde, you already know the problem.</em></p> <p>Mastra is the TypeScript-first AI agent framework. It ships with official auth providers for Clerk, Auth0, Supabase, Firebase, WorkOS, and Better Auth. Kinde is not on that list.</p> <p>The obvious question is why not reach for one of those providers, since Auth0 is already there.</p> <p>Most developers who choose Kinde rely on far more than its login. Kinde ships with the org

Article URL: https://github.com/raiyanyahya/recall Comments URL: https://news.ycombinator.com/item?id=48622590 Points: 70 # Comments: 55

Article URL: https://www.marble.onl/posts/cancel_claude.html Comments URL: https://news.ycombinator.com/item?id=48622518 Points: 5 # Comments: 0

Article URL: https://github.com/Jake1848/conduit Comments URL: https://news.ycombinator.com/item?id=48622458 Points: 1 # Comments: 0

Article URL: https://auratxt.com/ Comments URL: https://news.ycombinator.com/item?id=48622449 Points: 1 # Comments: 0

Article URL: https://old.reddit.com/r/AIProgrammingHardware/comments/1uc0ckg/amd_mini_pcs_for_ai_applications_a_comprehensive/ Comments URL: https://news.ycombinator.com/item?id=48622323 Points: 4 # Comments: 1

If you trace the timeline of how LLMs went from a technologist's dream to early text-generation toys, to the world-shifting launch of ChatGPT, and finally to the daily drivers of modern programming (Sonnet, Opus), it has taken less than a decade. It’s a thrilling, almost unbelievable tale. Let's look at how we got here, and the wall the industry is currently hitting. - The Dream Phase (2010-2016). By the dawn of the last decade (2011), an interesting thing was happening. The two platforms, Wikip

Article URL: https://www.theatlantic.com/health/2026/06/ai-healthcare-uber-moment/687567/ Comments URL: https://news.ycombinator.com/item?id=48622207 Points: 4 # Comments: 1

Comments URL: https://news.ycombinator.com/item?id=48622110 Points: 4 # Comments: 2

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Article URL: https://github.com/harihkk/Debug-Brief Comments URL: https://news.ycombinator.com/item?id=48622061 Points: 3 # Comments: 0

Article URL: https://www.theatlantic.com/technology/2026/06/ai-cancer-progress/687654/ Comments URL: https://news.ycombinator.com/item?id=48621872 Points: 4 # Comments: 1

Article URL: https://devblogs.microsoft.com/sustainable-software/the-carbon-footprint-of-ai/ Comments URL: https://news.ycombinator.com/item?id=48621805 Points: 3 # Comments: 0

hey, I got tired of using GitHub issues and Mira to manage sprints and issue tracking so this is a tool I have been using for a while in a few of my projects to ensure that long sprints, and long bug finding sessions got triaged and properly implemented while holding the agent accountable. It works great. Based on LMWiki where there is a raw input, and then triaged out into issues, discoveries, memories, phases and sprints. Sprints are deterministic and require validation to close. the chain of

Article URL: https://github.com/skillful-fox-studio/grey-fox-community Comments URL: https://news.ycombinator.com/item?id=48621680 Points: 2 # Comments: 0

Howdy all. I'm Zack :wave:. I've been thinking about the problem of misguided AI pull requests and figured I'd throw a possible solution out there for feedback. Basically, CleverCrow lets supporters give tokens to a GitHub repo (or set of issues in that repo) for the maintainers to use to build/fix stuff. The fun implementation challenges have been around implementing the pooling dynamics and keeping the maintainers in charge while the backers are motivated to support their work. Comments URL: h

By AI I mean Image Generation models like stable difussion, but I had to make a short title. They look like Video Games sometimes too. This reminds me of that case of a scanner used in an architecture studio that was changing numbers for others, and it turns out they were using content aware compression and decompression. Maybe the commercial pressure to use AI caused them to apply an AI filter to upscale the images and they end up looking like videogames? To be precise I'm looking at the Belgiu

This is my markdown viewer for the terminal. It's most notable feature is that it displays headers Bigger™ then other text. This was my main motivation for writing this, as big headers make markdown really more readable and was the only thing making me reach outside of a terminal for reading markdown documents. I did this by leveraging ratatui-image, which I also had written for another thing. MdFried tries to get your terminal's font, or otherwise prompts you with a font picker. The headers are

Duno what Id call it exactly? A boggle-like smushed together with crossword style riddles and some board re-roll mechanics. Bit of an LLM experiment in spinning off daily, theme-based word games easy enough to bang out over breakfast or a coffee break. Anyway, fire it up in a mobile browser and have a poke at it - appreciate any thoughts as I keep tinkering with it. No account or login required. Comments URL: https://news.ycombinator.com/item?id=48621571 Points: 1 # Comments: 0

Article URL: https://slashdot.org/story/26/06/20/0556251/tech-pundit-cringely-co-founds-startup-2brains-inc-to-solve-llm-hallucinations Comments URL: https://news.ycombinator.com/item?id=48621381 Points: 2 # Comments: 0

Claude Guillemot, who founded Ubisoft with his four brothers, has died at the age of 69.

<!-- SC_OFF --><div class="md"><p>We just did a big revamp of <strong>WeightsLab</strong> and wanted to share it here.<br/> If you’ve ever spent hours debugging a training run only to discover it was a data problem all along, this is for you.<br/> WeightsLab lets you pause training mid-run, inspect your live loss signals, and catch mislabels, class imbalance & outliers before they tank your model.</p> <p>Open source, PyTorch-native, built for CV engineers working with images, videos & LiDAR poin

Article URL: https://staffengineer.dev/ Comments URL: https://news.ycombinator.com/item?id=48620903 Points: 2 # Comments: 0

Article URL: https://vexyn.app/ Comments URL: https://news.ycombinator.com/item?id=48620808 Points: 1 # Comments: 0

Article URL: https://tenureai.dev/writing/llm-as-judge-became-the-default-for-agent-evaluation/ Comments URL: https://news.ycombinator.com/item?id=48620731 Points: 5 # Comments: 0

Understanding ow LLMs interact with the world around them, from returning data to taking action The post Tool Calling, Explained: How AI Agents Decide What to Do Next appeared first on Towards Data Science .

Amazon will no longer release "Artificial," which stars Andrew Garfield as OpenAI CEO Sam Altman.

<!-- SC_OFF --><div class="md"><p>Hi guys</p> <p>Does anyone know of papers where EMA on LoRA adapters has been used successfully?</p> <p>Im interested in cases where the EMA adapter acts as a self-teacher generating soft labels for the trainable adapter.</p> <p>On-policy self-distillation [1] uses ema for the teacher. However, they seem to fully fine-tune. Any empirical results showing the idea is working on lora/ left models?</p> <p>[1] <a href="https://arxiv.org/abs/2601.19897">https://arxiv.

Article URL: https://www.youtube.com/watch?v=WNiSUGCC-gY Comments URL: https://news.ycombinator.com/item?id=48620402 Points: 20 # Comments: 7

<p><em>Hello, I'm Shrijith Venkatramana. I'm building git-lrc, an AI code reviewer that runs on every commit. <a href="https://github.com/HexmosTech/git-lrc" rel="noopener noreferrer">Star Us</a> to help devs discover the project. Do give it a try and share your feedback for improving the product.</em></p> <p>Machine learning engineers spend countless hours optimizing models, tweaking architectures, and squeezing performance out of hardware.</p> <p>Yet many developers who train large models toda

Well, calling it a browser is a bit of a stretch I suppose. It's really just chromium + playwright with a terminal screen bolted on. But damn does this thing actually work. I've tried every other kind of browser use agent and they all try to get the model to use websites by taking screenshots and moving the mouse around. Which is slow and inefficient and expensive too. By contrast I've used this browser to do things like scrape thousands of pictures or automatically configure fly.io billing for

Article URL: https://zither-zeta.vercel.app/ Comments URL: https://news.ycombinator.com/item?id=48620328 Points: 1 # Comments: 0

Article URL: https://bartoszlenart.com/blog/bonfires-in-the-dark Comments URL: https://news.ycombinator.com/item?id=48620314 Points: 3 # Comments: 0

Article URL: https://github.com/TheCulliganMan/crystal-llm/ Comments URL: https://news.ycombinator.com/item?id=48620210 Points: 1 # Comments: 0

I write Abaqus UMAT subroutines as a graduate student in computational mechanics. These are complex multi-physics simulation models using Abaqus Fortran subroutines (UMAT ~ mechanical behavior, UMATHT ~ heat/diffusion and a lot more) that simulate how different material systems fail under high temperature or manufacturing processes. However, the entire process has been quite challenging, 80-90% of time is actually spent on how make Abaqus CAE simulate a physics you already know on paper or what