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Dev.to

Stop telling your RAG bot not to hallucinate. Make it impossible.

<h2> The suggestion every RAG app ignores </h2> <p>If you've shipped a retrieval-augmented assistant, you've written some version of this line in your system prompt:</p> <blockquote> <p>"If the answer isn't in the provided context, say you don't know. Do not make things up."</p> </blockquote> <p>And you've watched the model cheerfully ignore it under pressure. A confident-sounding question comes in, retrieval returns something <em>adjacent</em>, and the model stitches together an answer that's p

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Dev.to

Most Engineers Use AI. Few Engineer With It.

<p>Most software engineers I know use AI in some form now.</p> <p>Maybe it is for debugging, boilerplate, tests, docs, SQL queries, shell commands, or quick code reviews. Some use it daily. Some use it quietly. <em>Even the skeptical ones have probably pasted a confusing stack trace into a chat window once.</em></p> <p>So I do not think the interesting question is:</p> <p><strong><em>“Do engineers use AI?”</em></strong></p> <p>The better question is:</p> <p><strong><em>“Has AI changed how they e

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Hacker News Show

Show HN: ML condenses billions of logs into a tiny snapshot your LLM can debug

Hi HN, I'm Kaushik, and I built Rocketgraph. I believe that while other spaces have caught up to the AI wave, the observability space is still lagging behind, using the same tools and dashboards that we use to analyse logs from human-written code. But now the code is written and debugged by AI, so we need to rethink how we do observability where the observer itself is an AI. The problem that I run into is when an alert fires, I have to manually check the Grafana dashboards and write LogQL querie

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Dev.to

Chrome Put a 4GB AI Model on Your Computer: What Gemini Nano Means for Privacy

<p><em>Originally published on <a href="https://mrtd.net/chrome-gemini-nano-4gb-on-device-ai-privacy/" rel="noopener noreferrer">MRTD.NET</a> — fast, sourced news on crypto security, cyber & SEO.</em></p> <p>If you run a recent version of Google Chrome on a desktop, there is a decent chance your browser has quietly downloaded a <strong>~4GB artificial-intelligence model</strong> in the background. It is called <strong>Gemini Nano</strong>, and it is the engine behind Chrome's new built-in AI fea

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Hacker News: Show HN

Show HN: Righthand – Autonomous AI assistants with skills, goals, and a CLI

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

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Hacker News: Show HN

Show HN: Canipls – see caniuse.com global support percentages as you type

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

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Hacker News: Show HN

Show HN: Reyn – local-first AI that journals and recalls your work

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

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Hacker News: Show HN

Show HN: Tablething – local-first database client with BYOK AI

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

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Hacker News AILLMs

Lessons from past policies to support displaced workers in era of AI

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

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VentureBeat

AWS enters the context layer race with a graph that learns from agents, not manual curation

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

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AWS enters the context layer race with a graph that learns from agents, not manual curation
Hacker News: Show HN

Show HN: Chatty Lingo – A language practicing app

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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Product HuntTools

Upsolve AI

<p> Build grounded, governed, trustworthy data agents </p> <p> <a href="https://www.producthunt.com/products/upsolve-ai?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/1174697?app_id=339">Link</a> </p>

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Product HuntTools

Agentic Document Extraction

<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>

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Hacker News: Show HN

Show HN: I built a spelling app for kids with my 7-year-old

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

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Hacker News: Show HN

Show HN: Matrix Engine WGPU – focus on mobile]

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

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r/MachineLearningResearch

Should I accept job offer or do my master's? [D]

<!-- 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

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AWS Machine Learning Blog

Amazon SageMaker AI Async Inference now supports inline request payloads

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.

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Hacker News Ask

Ask HN: How to deal with UI within the agentic loop

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

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Product HuntTools

MeshPilot

<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>

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