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  1. Transferring the Intelligence of VLMs to Robotic Control

    RoboDawn lets a vision‑language model (VLM) drive a robot via a tiny discrete command set (translate/rotate/gripper). Using a few in‑context demos, the VLM learns the interface and task strategy, then runs closed‑loop: observe image → reason → act → re‑observe. On the RoboTwin 2.0 C2R benchmark RoboDawn hits 53.2 % success zero‑shot, 73.6 % with one demo (vs. 46 % baseline). On RoboDojo it goes f…

    Hugging Face Daily Papersarxiv.org1 minpaper
  2. We now auto-approve and merge 15% of PRs

    This article describes how a team implemented a bot to auto-approve and merge 15% of low-risk pull requests, aiming to reduce code review bottlenecks and improve development velocity. The system relies on custom deterministic linters, basic end-to-end tests, and a risk scoring mechanism to identify safe changes.

    Swizec Tellerswizec.com3 min
  3. OmniEdu: Open Foundation Models for Learning and Teaching

    OmniEdu is an open family of LLMs (4B‑27B) fine‑tuned on a curated, capability‑balanced educational corpus (≈70k examples, 16M tokens) covering subject competence, curriculum grounding, diagnostic reasoning, and pedagogical scaffolding. Across model scales it improves on K‑12 benchmarks (K12‑Bench EM 63.12 %/F1 76.69 %, MathFish 85.89 %, EDUMATH 86.95 %, MathTutorBench Scaffold 78.74 %) and achie…

    Hugging Face Daily Papersarxiv.org1 minpaper
  4. One Java Model from the App to PostgreSQL

    Codename One introduces a backend runtime allowing a single Java model to define entities and validation rules for both client applications and the server. This approach aims to reduce duplication and ensure consistent data rules from the app to PostgreSQL.

    CodeName Onecodenameone.com7 min
  5. RADAR: Catch gray failures with anomaly detection

    Databricks built RADAR, a four‑stage, metric‑agnostic pipeline that uses streaming anomaly detection (SPOT) to surface gray failures in minutes with >90% precision. The blog shows how to recreate the system on Databricks for any metric, from billing to model drift.

    Databricksdatabricks.com7 min
  6. Serving Markdown for AI Agents, Now as a Jekyll Plugin

    The author turned a one‑off script that rendered each Jekyll page to Markdown and added a `<link rel="alternate" type="text/markdown">` tag into a reusable Jekyll plugin (jekyll‑md). The gem hooks into the build, extracts the main content (defaulting to `<main>` or `[role="main"]`), converts it to Markdown, injects the discovery link, and requires no per‑page front‑matter. Configuration is option…

    Daniel Doubrovkine (dB.)dblock.org2 min
  7. CSS-Tricks could be a co-op

    The author argues that CSS-Tricks, a critical web development resource, has struggled under corporate ownership because it wasn't a core strategic priority. They propose a co-op model as a more sustainable alternative to preserve such valuable knowledge infrastructure, prioritizing cultivation over profit.

    Lobstersericwbailey.website2 minHN2lobste.rs41
  8. TERAZ - live collective ambient experience made with Rails & Tone.js

    TERAZ is a live ambient music piece where each audience member's phone plays a locally generated instrument via Tone.js, coordinated by a Rails Action Cable server that only sends lightweight control messages. The author shares practical lessons about mobile audio quirks, device heterogeneity, and scaling the system to dozens of phones.

    Arkencyarkency.com7 min
  9. WebAuthn Passkey Recovery: Building Account Fallbacks and Backup Codes in Node.js

    A step‑by‑step tutorial for building a zero‑trust WebAuthn passkey recovery flow in Node.js/TypeScript. It covers generating 128‑bit backup codes, hashing them with Argon2id, rate‑limited verification, time‑boxed JWT recovery sessions, and orchestrating new credential registration with @simplewebauthn/server while revoking lost credentials and rotating codes.

    SitePointsitepoint.com19 min
  10. Build a Typed Context Compaction Gate for AI Agents

    A step‑by‑step tutorial showing how to build a typed context‑compaction gate for AI agents in TypeScript using LangChain and Zod. It defines a discriminated‑union schema for keep/summarize/discard actions, implements a fast gpt‑4o‑mini classifier, validates decisions at runtime, and wires the gate as middleware in an agent loop, with testing and production‑grade tuning advice.

    SitePointsitepoint.com16 min
  11. 1 points

    Saving another 100TB of RAM with math (and Rust)

    Cloudflare reduced the memory footprint of its Pingora Backend Router by re‑examining the consistent‑hashing implementation in the pingora‑ketama library. By increasing the number of virtual hash points per server from the default 1 to the standard 160 (and applying weighted hashing based on disk capacity), they cut the per‑node overhead enough to reclaim >100 TB of RAM across the fleet. The post…

    Hacker News front pagecloudflare.com13 minHN478120lobste.rs33
  12. WebMCP support now available in mcp-handler

    Vercel's mcp-handler 2.2.0 adds experimental WebMCP support, letting you expose registered MCP tools to in‑browser agents via a single script tag. The script proxies tool calls back to your MCP server with the signed‑in user’s credentials, so no extra OAuth flow is needed.

    Vercelvercel.com1 minrelease