Today, Quick gets even more powerful: new autonomous agents that work continuously on your behalf, an activity feed that helps you prioritize your most important work, and the ability to find insights across every data source your business runs on from a single question.
<!-- SC_OFF --><div class="md"><p>This question is related to topics like language+ models (including multimodal) and things like "circuit" analyses. I think something related might come up in my work (factuality guarantees for model outputs) and I'm trying to orient to the SoTA.</p> <p>I found <a href="https://www.neelnanda.io/mechanistic-interpretability/emergent-pos">this old post</a> on trying to deduce, for instance, whether a Transformer-based model "knows" which word a token is in. Even i
Not coding assistants or agents, and not things that obviously would just use the latest frontier model like really hard work. I'm talking about the daily AI features users interact with directly: generating content, rewriting things, recommendations, workflow helpers, contextual suggestions, etc. For my app I mostly use Gemini Flash via OpenRouter because the workloads are fairly structured. It works well enough, but there are now dozens of models available and I'm not sure how most teams are e
Article URL: https://tryscope.app/ Comments URL: https://news.ycombinator.com/item?id=48576238 Points: 1 # Comments: 0
Article URL: https://www.thecut.com/article/jesse-genet-ai-agents-household.html Comments URL: https://news.ycombinator.com/item?id=48576233 Points: 1 # Comments: 0
Tokenmaxxing was the hottest trend in Silicon Valley earlier this year, with CEOs encouraging employees to push AI usage as far as it would go. Then the bill came due. Uber reportedly blew through its annual AI budget in a few months, some companies cut Claude licenses for parts of their org, and Meta killed its internal leaderboard. This tension between […]
Selora AI Local is an open-source, Qwen-based model for Home Assistant. Specs: Qwen3 1.7B base model (Q6 quantized~1.6GB) Four Home Assistant-specific LoRA adapters: - Answers - Clarifications - Automations - Commands ~3.5 GB total download size Runs locally via llama.cpp We chose a Qwen-based architecture because of a paper on Arxiv (link below) which applied a Qwen based model for local LLM configuration, and showed promising results. We took it a step further in application by training LoRA a
Epic Games is making generative AI a big part of upcoming versions of Unreal Engine.
Article URL: https://github.com/acunningham-ship-it/leakproof Comments URL: https://news.ycombinator.com/item?id=48576074 Points: 1 # Comments: 1
Hey HackerNews! My name is Tyler and I'm the solo founder of Quanta Intellect. I'm excited to share an update to Vessel Browser with you today! You can now either import an existing skill or create a new one in the Skills tab. Then, invoke your skill in agent panel with a "/" command! Vessel Browser is open source and BYOK, allowing you to bring your existing AI stack with you. Thanks for checking it out! Comments URL: https://news.ycombinator.com/item?id=48576073 Points: 1 # Comments: 0
<p> Clone yourself. Let AI do the work before you ask </p> <p> <a href="https://www.producthunt.com/products/vida-5?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/1174638?app_id=339">Link</a> </p>
Archaeologists say the motivation is "very difficult to interpret". ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.
Article URL: https://github.com/bohdan1288-dotcom/ai-audit-orchestrator Comments URL: https://news.ycombinator.com/item?id=48575897 Points: 1 # Comments: 0
Article URL: https://factory.ai/product/router Comments URL: https://news.ycombinator.com/item?id=48575781 Points: 1 # Comments: 0
How GitHub Copilot is making more of each session go toward useful work, so your credits go further. The post Getting more from each token: How Copilot improves context handling and model routing appeared first on The GitHub Blog .
The Agents SDK is now a runtime any agent framework can build on. Today we're opening up the Agents SDK primitives, with Flue as a first framework targeting Agents SDK, and rolling out agents in the dashboard.
Researchers urge developers to see that less is more when it comes to instructions
Article URL: https://github.com/CEM888AI/CEM888.AI-Site Comments URL: https://news.ycombinator.com/item?id=48575589 Points: 1 # Comments: 0
Article URL: https://www.bbc.com/news/articles/cwy24v72n19o Comments URL: https://news.ycombinator.com/item?id=48575575 Points: 2 # Comments: 0
Article URL: https://retool.com/blog/retool-launches-react-ai-app-builder Comments URL: https://news.ycombinator.com/item?id=48575541 Points: 3 # Comments: 0
<!-- SC_OFF --><div class="md"><p>I'm not that well versed in ML yet. I know that "Attention is all you need" was based on work that was done with a couple of high end gaming GPUs at the time. I can afford that.</p> <p>Suppose for arguments sake that I have caught up on ML such that I have the competence to recreate state of the art results should I have access to the required hardware, do I still need access to huge amounts of hardware infrastructure to be able to contribute to the field at a f
NVIDIA’s self-improvement program for robots enlists teams of AI coding agents.
Article URL: https://www.browserless.io/blog/writing-an-ai-agent Comments URL: https://news.ycombinator.com/item?id=48575480 Points: 6 # Comments: 0
Researchers show that for certain kinds of games, an overlooked class of algorithms performs much better than expected.
An open specification for finding and verifying tools, skills, and agents across the web.Agents are ...
<p>Exposing a tool to an agent over MCP takes ten minutes. Building an MCP server that survives a model you don't control, on a tight token budget with limited thinking time, is the part nobody warns you about.</p> <p>We learned the difference shipping our own, consumed by third-party agents whose models we don't pick. Three principles came out of it, each one we only fully believed after it broke in production:</p> <p><strong>TL;DR — three MCP server best practices from our trenches:</strong></
Article URL: https://antonmks.substack.com/p/fast-food-and-ai Comments URL: https://news.ycombinator.com/item?id=48575284 Points: 2 # Comments: 0
<p>When we wrote code before large language models could write it for us, code duplication was rarely our problem, at least not if we worked alone or in a small team.</p> <p>That has changed.</p> <h2> A principle born in a quieter time </h2> <p>"Don't Repeat Yourself" was coined by Andy Hunt and Dave Thomas in The Pragmatic Programmer back in 1999, a year when our biggest worry was whether the clocks would survive January. The idea is reassuringly simple. Every piece of knowledge in your system
French President Macron and Indian PM Modi raised alarms at the G7 summit that the U.S. could cut off access to American AI overnight — a fear the Anthropic blackout just made real.
Anthropic's tools are getting chummy with each other.
When Anthropic quietly released Claude Design in April as a " research preview ," it generated the kind of instant traction most product teams dream about: more than one million users in its first week. It also generated a problem. The tool consumed tokens so voraciously that a PCWorld reviewer burned through 80 percent of his weekly Claude Pro allowance in roughly 25 minutes, producing just three variations of a single webpage prototype. "We're talking another token-hungry Claude product here,"
<p>Retrieval-Augmented Generation (RAG) is a powerful pattern to build applications that can query, understand, and extract insights from your custom documents (like PDFs, resumes, and reports) by feeding them as context to Large Language Models (LLMs).</p> <p>This guide walks you through building a complete RAG API step-by-step, explaining the architecture, code, and debugging learnings along the way.</p> <h2> 1. Architecture Overview </h2> <p>A typical RAG pipeline is divided into two parts:</
<p><em>Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is free and source-available on Github. <a href="https://github.com/HexmosTech/git-lrc" rel="noopener noreferrer">Star git-lrc</a> to help devs discover the project. Do give it a try and share your feedback.</em></p> <p>For most of the internet's life, searching for something felt a bit like talking to a very literal-minded robot. </p> <p>You'd type "comfy shoes for standing all day," and it
<p>I recently used Cursor Agent Mode with Auto Mode enabled to do something simple: recommend a font pairing and update two files in my project. An <code>index.html</code> and an <code>index.css</code>. That's it! </p> <p>The agent added a Google Fonts <code><link></code> tag, a <code><link></code> Gstatic with a crossorigin within it, and shuffled a few CSS variables as well as styling rules for the body tag and H tags. </p> <blockquote> <p>It cost 1% of my monthly usage budget.<br> <a href="ht
Article URL: https://fideai.org/research/fmg-bench/ Comments URL: https://news.ycombinator.com/item?id=48574941 Points: 2 # Comments: 2
Article URL: https://www.cnbc.com/2026/06/17/anthropic-amodei-google-hassabis-us-ai-coalition-g7.html Comments URL: https://news.ycombinator.com/item?id=48574918 Points: 2 # Comments: 0
With everything going on lately regarding AI policy, and the cat already being out of the bag with AI systems that can run on feasibly obtainable personal compute, at what point do things tip over governments confiscating said compute in order to enforce a certain regulatory goal? Today's regulation is mostly targeted at frontier labs, hyperscalers, chip makers, etc. But if compute is the choke point, and things are getting more efficient, where is the limiting principle "on the way down"? At wh
Article URL: https://rohangandhi.com/posts/how-to-stop-babysitting-ai-code/ Comments URL: https://news.ycombinator.com/item?id=48574893 Points: 1 # Comments: 0
A few useful links: - https://mhclgdigital.blog.gov.uk/2025/06/12/extract-using-ai-to-unlock-historic-planning-data/ - https://github.com/digital-land/digital-land/issues/360 - https://ai.gov.uk/evaluations/extract-evaluation/ Comments URL: https://news.ycombinator.com/item?id=48574862 Points: 1 # Comments: 0
A Microsoft researcher built a working neural network out of goats, bridges, and ice ramps in the Age of Empires II map editor. What looks like a joke is a pointed critique of AI research methods. His analysis of 315 papers found that more than half already assume language models have human-like traits before the experiment even starts. Replace the chat interface with wandering goats, and the math doesn't change, but the feeling that you're talking to someone does. The article Microsoft research
