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I am not a number! I am a free agent (that just happens to have a number)

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Article URL: https://www.zach.be/p/tensordyne-is-making-ai-compute-more Comments URL: https://news.ycombinator.com/item?id=48578295 Points: 2 # Comments: 0

Article URL: https://www.salvager.sh/ Comments URL: https://news.ycombinator.com/item?id=48578204 Points: 1 # Comments: 0

Hey HN — I'm Julius, cofounder of Righthand. We've been building AI employees (we call them "Righthands") that actually live inside your workflow instead of waiting for prompts. Each one has a name, email address and phone number + unified memory across all communication channels. They run in their own E2B sandboxes, with a filesystem and custom CLI. We built this because of anxiety. Everyone is anxious about something, especially at work, and we realized that a lot of the tasks people are anxio

Days before Anthropic took its most advanced AI models offline, the White House ordered the company to revoke SK Telecom’s access to Claude Mythos over claims of alleged ties to China.

Article URL: https://thenextweb.com/news/china-ai-global-cooperation-vs-g7-export-controls Comments URL: https://news.ycombinator.com/item?id=48578073 Points: 1 # Comments: 0

Article URL: https://chromewebstore.google.com/detail/promptrouter/bojhdblkfdngamonhpbpofcnjonjbkff Comments URL: https://news.ycombinator.com/item?id=48577958 Points: 1 # Comments: 0

This is a language server I've been working on for a while now, which warns the programmer (or agent) of low browser support for web features (HTML, CSS, JavaScript) right in your editor. You can also hover over almost all web features and get its support percentage and caniuse.com link. This project is handmade, no AI was used. Preview images & setup instructions found in the repo README. There are VS Code and Zed extensions. Comments URL: https://news.ycombinator.com/item?id=48577931 Points: 1

Article URL: https://transluce.org/docent/blog/analysis-plans Comments URL: https://news.ycombinator.com/item?id=48577899 Points: 1 # Comments: 0

Hey HN, I built Reyn - which I like to describe as "granola but for everything". You're probably thinking another screen capture AI tool (which is true). Same as always, the biggest question that comes up is privacy, so I'll talk about that first 1. raw screen data is never stored in the cloud 2. user controlled filters are granular to the point that you're able to configure specific apps, windows, websites, or even keywords to be discarded immediately (once again never leaving your mac) and nev

Hi HN, Tablething is a cross-platform, local-first database client built with Tauri. It currently connects to 13 data sources including Postgres, MySQL, SQLite, ElasticSearch, with more on the way. Everything runs locally - nothing is sent to our servers. There are optional AI features that you can use with your own API key and data is directly sent to the provider. I built it because I wanted a tool to save my queries, visualize the data from different sources and have agentic chat the way I wa

Article URL: https://whisperquest.app/en Comments URL: https://news.ycombinator.com/item?id=48577764 Points: 1 # Comments: 0

What's your workflow looking like? Comments URL: https://news.ycombinator.com/item?id=48577739 Points: 1 # Comments: 0

Article URL: https://fusionauth.io/blog/2026-ai-identity-report Comments URL: https://news.ycombinator.com/item?id=48577733 Points: 1 # Comments: 0

Article URL: https://equitablegrowth.org/research-paper/lessons-from-past-trade-adjustment-policies-to-support-displaced-workers-in-the-era-of-artificial-intelligence/ Comments URL: https://news.ycombinator.com/item?id=48577660 Points: 1 # Comments: 0

Building a context layer between enterprise data stores and AI agents is bespoke work, with no standard service to automate or maintain the graphs over time. Amazon is making a direct play to change that. Amazon on Wednesday entered the space, announcing a series of three products it's positioning as a context intelligence stack for AI agents. The centerpiece is AWS Context, a new knowledge graph service that gets smarter through agent usage over time. AWS also announced the general availability

Hey all, I've built a web app for practicing spoken conversations in a language you're learning. It was driven by my own needs when I learn Korean. The main functionality includes two modes: 1. Chat with AI — you pick a situation (ordering at a café, taking a taxi, checking into a hotel) and the AI plays the other role entirely in your target language. It stays in character, adapts to what you say, and you can fail as many times as you want with nobody watching. 2. Chat with Human — for real, in

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<p> Make the world's documents computable </p> <p> <a href="https://www.producthunt.com/products/agentic-document-extraction?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/1174696?app_id=339">Link</a> </p>

Hello HN! I made an iPad app with my seven-year-old daughter to make learning spelling fun. https://spellabee.com/ We play Spelling Bee type games in our car rides, and she wanted to learn more words that way. So we built a simple app that teaches 10 words at a time, and lets the kids practice and master these 10 words. The full word list in the app is static, and it gets progressively harder as the kid goes through the levels. There are no AI features in the app. I do not collect emails inside

Chi-Hua Chien has spent more than two decades as a venture capitalist, but he thinks like a cultural anthropologist.

Hi , I made 'MatrixEngineWgpu' webgpu engine in javascript ("The Beast" i added alias ;) ). Objective is full support for all browsers (with webgpu support) specially mobile browsers. I use vanilla js thats very important in context of performance. 2 years ago it was classic programming (without ai) but i involved ai in last 6 months. Thats not main subject. I see in last yeasr that quality of web games are catastrophic even in promo videos i see buggy moments. Almost every webGPU examples or gr

<!-- SC_OFF --><div class="md"><p>I graduated with my bachelor's in a top 3 CS program and have had a rough recruiting season. I received a full time offer as AI Product Engineer at a tax software company, where they are trying to become more AI native. It's essentially a PM + AI engineering role.</p> <p>Long term I'd love to work at a frontier lab or in a research/more technical role at an AI startup.</p> <p>So, should I take up the offer or pursue my master's at the same school? I am able to d

The new Google Home Speaker is built around Gemini AI, bringing more natural conversations and a fresh direction for Google’s smart home ecosystem.

Comments

Article URL: https://punnerud.github.io/pyspell/ Comments URL: https://news.ycombinator.com/item?id=48576793 Points: 1 # Comments: 0

Today, we’re announcing inline payload support for Amazon SageMaker AI Async Inference. Customers can now send inference payloads directly in the request body of the InvokeEndpointAsync API, removing the need to upload input data to Amazon Simple Storage Service (Amazon S3) before each invocation.

I am planning to the module in may SaaS to allow user to chat about its data, features, modules that he have in his workspace with LLM Agent. What approach should I use to render UI within the chat? any recommendations? Comments URL: https://news.ycombinator.com/item?id=48576667 Points: 2 # Comments: 1

<p> Your AI workspace for terminals, tasks, and agents </p> <p> <a href="https://www.producthunt.com/products/meshpilot?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/1174661?app_id=339">Link</a> </p>

TIL you can schedule prompts in ChatGPT.

Elsewhere, beyond-classical quantum hardware, plus classical computing fires back.

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