scaffolds conventions,repo-namespaced skills, stack-appropriate settings, and interactive guardrails for nine major AI coding environments, matching each agent's native file formats and capability profiles. See examples folder for example output. Comments URL: https://news.ycombinator.com/item?id=48752057 Points: 1 # Comments: 0
Article URL: https://twitter.com/claudeai/status/2072402636813607381 Comments URL: https://news.ycombinator.com/item?id=48752030 Points: 332 # Comments: 309
<pre style='white-space:pre-wrap;width:81ex'>feat: prepare scoped conversation capability profiles (#98536) * feat(agents): prepare scoped conversation capability profiles * fix: satisfy scoped profile lint * test: update compaction harness agent-scope mock</pre>
Article URL: https://twitter.com/TheseusNetwork/status/2072392130304069708 Comments URL: https://news.ycombinator.com/item?id=48751925 Points: 1 # Comments: 0
So I am creating the Nordstjernen web browser. https://nordstjernen.org/ Is this still a worthwhile project? As a research project, to explore different ideas (C programming language, no JIT, developed by AI with one developer), and to provide a choice between multiple html rendering engines in addition to Chrome and Firefox). Comments URL: https://news.ycombinator.com/item?id=48751900 Points: 5 # Comments: 3
Article URL: https://www.japantimes.co.jp/news/2026/07/01/world/cia-ai-nuclear-weapons/ Comments URL: https://news.ycombinator.com/item?id=48751805 Points: 6 # Comments: 2
I spent some time building AeroScore, a scoring engine that evaluates how well major documentation portals support AI agents. In short, none of the 6 that I evaluated in this first batch are sufficiently prepared. The methodology and criteria are based on the AFDocs Spec (an open-source checklist for agent-ready documentation) and one specific extension for PDF-heaviness since aerospace as a field places so much importance on PDFs. Each site gets scored 0-100 across criteria like llms.txt presen
Article URL: https://github.com/takashikiari/GOAT2-General-Orchestrated-Agent-Topology Comments URL: https://news.ycombinator.com/item?id=48751769 Points: 1 # Comments: 0
Record home battery installations unlock options for grids—and AI data centers.
After more than a decade on YouTube, MeganPlays shares what she's learned about algorithms, community, and building a sustainable creator business.
Article URL: https://altertable.ai/blog/2026-03-10-ai-s-events-backbone Comments URL: https://news.ycombinator.com/item?id=48751604 Points: 1 # Comments: 0
SpaceX reportedly showed investors a "handset-like" AI device before going public. It could be another signal SpaceX wants to expand into wireless.
Article URL: https://www.polygon.com/23582937/ai-seinfeld-twitch-stream/ Comments URL: https://news.ycombinator.com/item?id=48751521 Points: 2 # Comments: 2
Article URL: https://www.geekwire.com/2026/the-cost-of-the-ai-boom-amazon-emissions-jump-16-as-company-stands-by-net-zero-pledge/ Comments URL: https://news.ycombinator.com/item?id=48751517 Points: 1 # Comments: 0
Go to any conversation you’ve had with Claude or ChatGPT in their chat apps and ask them what time they sent their last message, and you’ll find they don’t see timestamps for any of the messages in your chat history. They might guess or hallucinate an answer but they’ll be wildly off and if you probe further they should admit they don’t see timestamps at all, they only know the current time. I’ve also noticed generally that if you pick up conversations over multiple days, it doesn’t know that da
<pre style='white-space:pre-wrap;width:81ex'>fix(imessage): shed emoji anywhere in poll-vote echo match (#98691) * fix(imessage): shed emoji anywhere in poll-vote echo match iMessage native poll options carry a trailing emoji ("Lobster 🦞 ") while the agent echoes its vote with a leading one ("🦞 Lobster.") under message_tool_only reply mode. normalizePollEchoText stripped only a leading emoji prefix, so "lobster 🦞" never matched "lobster" and the redundant text leaked past the poll_vote_echo g
Sound built its reputation on concentrated, high-conviction bets in category-leading AI labs, while Kutcher's new fund appears to be chasing the layer underneath those companies — the infrastructure and energy that power them.
<pre style='white-space:pre-wrap;width:81ex'>fix(nvidia): use Nemotron Super 1M context (#98726) * fix(nvidia): correct Nemotron Super context</pre>
Article URL: https://github.com/acip/slack-claude-agent Comments URL: https://news.ycombinator.com/item?id=48751448 Points: 1 # Comments: 0
As autonomy moves beyond controlled environments, ruggedized design is becoming a prerequisite for reliable robotic operations. The post In Robotics, Ruggedization Is No Longer Optional appeared first on The Robot Report .
Article URL: https://dustycloud.org/blog/the-first-ai-agent-worm-is-months-away-if-that/ Comments URL: https://news.ycombinator.com/item?id=48751431 Points: 3 # Comments: 1
Comments URL: https://news.ycombinator.com/item?id=48751300 Points: 2 # Comments: 3
There are lots of OCR tools and translator tools, but using them on books is very laborious, involving downloading images, lots of copying, window-swapping, 3rd-party software, and general dreck. Often the OCR has to be chained to the tranlation, leading to more labor. I often want to read books in the Internet Archive in languages I don’t speak (e.g. old books in Latin). So I built Bookxlate, a Chrome extension that uses the Google Gemini API to OCR and translate on the fly. Internet Archive tr
Article URL: https://github.com/Kanchisaw03/axiom Comments URL: https://news.ycombinator.com/item?id=48751251 Points: 2 # Comments: 0
The AI neocloud provider, which specializes in hosting open source models, last raised at a $3.3 billion valuation in early 2025.
Article URL: https://www.japantimes.co.jp/news/2026/07/01/japan/japan-ai-plans/ Comments URL: https://news.ycombinator.com/item?id=48751098 Points: 2 # Comments: 0
Article URL: https://blog.mccoy.io/anthropic-research-engineer-rule-of-law Comments URL: https://news.ycombinator.com/item?id=48751093 Points: 1 # Comments: 0
A decade of open source at DataRobot: from predictive AI to the agent lifecycle Every era of DataRobot has shipped open source. The latest open-source contributions from DataRobot map directly onto where agents actually break in production. Building an agent has never been easier. Pick a framework, wire up a model and a retriever, add... The post A decade of open source at DataRobot: from predictive AI to the agent lifecycle appeared first on DataRobot .
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/June_AI_Recap_social.max-600x600.format-webp.webp">Here are Google’s latest AI updates from June 2026.
We're excited to introduce US-based frontier open-weight models in AWS GovCloud (US). With this release, Amazon Bedrock now supports OpenAI’s open-weight GPT OSS models (120B and 20B) and NVIDIA Nemotron (Nano 9B v2, Nano 12B v2, Nano 30B, Super 120B) models. In this post, we cover these models and their capabilities, the inference options for data residency, the available service tiers and how to get started.
Article URL: https://www.magfrump.net/blog/the-problem-with-chat Comments URL: https://news.ycombinator.com/item?id=48751010 Points: 2 # Comments: 1
Penance payments to websites for failing to forward traffic aren't enough
https://runtimewire.com/article/weave-robotics-isaac-1-home-... Comments URL: https://news.ycombinator.com/item?id=48750989 Points: 83 # Comments: 135
Are you worried your AI chatbot is trying to build a bomb or leak personal information about you? There’s a website for that.
In this post, you will learn how to build a serverless A2A gateway on AWS that hosts multiple agents behind a single domain using path-based routing (/agents/{agentId}). Standard A2A clients work without modification.
In this post, you will learn how metadata works across configuration, ingestion, and retrieval, explore enterprise use cases including multi-agent and multi-tenant architectures, and discover best practices for implementation.
In this post, we demonstrate how to implement HippoRAG using a comprehensive AWS stack. We use Amazon Bedrock for LLM capabilities, Amazon Neptune for graph database functionality, Amazon Neptune Analytics for advanced graph algorithms including Personalized PageRank, and Amazon Titan Embeddings for vector representations. This implementation showcases how to build and deploy HippoRAG within AWS infrastructure for enterprise-scale applications.
