Show HN: Ywza, a computer-use agent for your own PC, drivable from anywhere
Article URL: https://github.com/alielmorsy/ywza Comments URL: https://news.ycombinator.com/item?id=50408730 Points: 1 # Comments: 0
AI NEWS JOURNAL
Search AI news
Search headlines, summaries and articles to connect the dots.
Apps for Caregivers Get a Dose of AI, but That Might Not Be Enough
The apps and platforms that help family caregivers manage their loved ones’ needs are becoming more capable, but the broader issue of caregivers’ well-being remains unsolved.
Extend Claude Code to remote sessions on Amazon Bedrock AgentCore with security controls
Run Claude Code as a remote agent on Amazon Bedrock AgentCore. Each coding task runs in its own isolated session in your AWS account, every model call goes through Amazon Bedrock, and the result comes back as a GitHub pull request you review and merge.
@GitHub in Slack and Teams is generally available and more
Turn conversations into code with @GitHub in Slack and Teams! Investigate bugs, create issues, implement changes, and open pull requests—all without leaving your conversation. What’s new Build and review together… The post @GitHub in Slack and Teams is generally available and more appeared first on The GitHub Blog.
How Greenlight Financial built an autonomous SOC solution on Amazon Bedrock AgentCore
Greenlight Financial resolves more than 90% of up to 4,000 monthly security and risk cases without human intervention using Luna, a tiered multi-agent system on Amazon Bedrock AgentCore. This post covers the architecture, episodic memory for continuous learning, and the expansion from SOC operations into financial risk triage.
Laser Light Cannon - a review
A laser scientist reviews the laser light cannon from the Steven Universe cartoon, including its highly unusual beam shape.
NYT Cooking’s AI assistant saved my weeknight chicken, but almost ruined my cake
Around 7PM each weeknight, I find myself standing in front of the fridge, trying to decide on something for dinner that won't make my husband complain, "Chicken again?" Yes, I should meal plan more, but I don't, so this is where I'm at. A nightly battle in which the chicken usually wins. Recently, my best […]
Serverless MCP server for AI agent data lake access on Amazon ECS Fargate
Learn how to build a serverless Model Context Protocol (MCP) server on Amazon ECS with AWS Fargate that gives AI agents secure, metadata-driven access to an enterprise data lake. Exposing a new dataset requires only a JSON file, with no per-dataset integration code.
Show HN: I taught my Fujifilm X-T30 II to print on an instax Link 3 over BLE
Article URL: https://ronangaillard.github.io/posts/fujifilm-x-t30-ii-instax-link-3/ Comments URL: https://news.ycombinator.com/item?id=50403007 Points: 3 # Comments: 0
Show HN: Web Potions – let ChatGPT or Claude restyle the web you browse
Article URL: https://github.com/leofritsch/web-potions Comments URL: https://news.ycombinator.com/item?id=50404138 Points: 1 # Comments: 1
Taxonomy of agentic primitives in Amazon Quick
As we built Amazon Quick, its agents grew from answering questions to taking actions, and the same primitives kept getting rebuilt under different names. This post shares the taxonomy we converged on — triggers, agents, capabilities, and learned context — found by decomposing agentic work into four plain questions: When, What, Who, and How.
Why a new report on Anthropic automating AI development is alarming researchers
Anthropic is using AI to build more powerful AI. And it appears to be working remarkably well, with the company's models improving roughly twice as quickly as a year ago, with little indication of slowing down. That's according to a new report published Thursday by the AI safety research organization METR, following an 11-week investigation […]
Closed-Loop Agent Evaluation: Layered Measurement and Self-Calibration
arXiv:2611.07051v1 Announce Type: new Abstract: Once an agent is live, teams want to know whether it is doing its job, not just whether it throws errors. Yet most evaluation is one-off: a benchmark run, a look at traces, a single score. Its conclusions neither check themselves nor reach the agent. We propose closed-loop evaluation, an evaluation method for deployed agents. It models evaluation as performance estimation under biased raters and censored outcomes, and it requires every level's conclusion to trace back to atomic data and to be computed by versioned rules. The method covers four levels of analysis (span, trace, conversation and engagement), measures along a spine of Execution, Substance, Trajectory and Results, treats Conduct as a constraint throughout, and uses Provenance and Adjudication components to certify the evidence and the evaluators. Evaluator agents generated by an Agent Factory carry these components, each with a domain knowledge pack and an adapter harness. Two loops close the evaluation: an inner loop audits the evidence, rules and metrics themselves, and an outer loop uses per-component regression checks to drive agent improvement. We also give a pipeline that runs this process automatically. Using the business-analysis agent SharpInsight as a case and porting the method to public conversation data, we show how problems differ across levels and how evidence-and-rule judgment is more reliable than holistic scoring (ICC 0.86 vs. 0.81; kappa 0.81 vs. 0.63).
Gemini Omni 1.2 Flash: Fast and cost-effective with longer clips
Google DeepMind has launched Gemini Omni 1.2 Flash, introducing native 15-second video generation, improved reference adherence, stronger consistency across frames, multi-turn conversational editing, more natural speech, and cinematic camera movements. The model is now generally available via the Gemini API and Gemini for business, priced at $0.07 per second for 720p video—30% lower than its predecessor. It supports scalable workflows, including draft generation at lower resolutions, iterative edits, and upscaling to 1080p or 4K. Use cases include product explainers, social ads, virtual try-ons, and branded content, with applications across Google AI Studio, Google Cloud, Google Vids, Flow, the Gemini app, and Google Ads.
How Amazon Marketplace evaluates content quality with Amazon SageMaker AI
Learn how Amazon Marketplace evaluates A+ Content quality at scale on Amazon SageMaker AI by rendering each product page as a single snapshot, scoring it with a vision-language model fused with OCR readability signals in a CatBoost classifier, and using SHAP to turn each decision into prioritized, actionable recommendations for selling partners.
How Infinitas Learning uses ClickHouse Managed Postgres to process billions of events for 1.6M unique learners
Infinitas Learning runs transactions for 1.6 million learners on ClickHouse Managed Postgres and serves real-time analytics to teachers from ClickHouse Cloud, where distributed cache cut P99 latency from about 13 seconds to 410 milliseconds.
How to assess your organization’s AI readiness
AI adoption moves fast. Readiness takes longer. Assess 6 dimensions to see where your data foundation limits AI.
I watched a humanoid robot clean my apartment. It felt like a taste of the future.
I’m not the sort of person who typically pays for a house cleaner. I’m too frugal, and I kind of enjoy putting on a podcast and going to town on my tub with a Magic Eraser. But when I saw an X post about a new humanoid-robot cleaning service in San Francisco, I immediately signed…
Measuring how AI agents handle everyday wet-lab science
OpenAI introduces BioBasicsBench, a 100-task benchmark measuring how well AI agents interpret raw experimental data and handle everyday wet-lab science.
Migrating vLLM to the LibTorch Stable ABI
How vLLM migrated its CUDA build and compiled dependencies to the LibTorch Stable ABI, enabling compatible PyTorch upgrades without rebuilding vLLM.