Tech News
Unlocking Britain’s next era of productivity: Building a nation of AI trailblazers
Four illustrated characters representing different professional roles, including a scientist, technician, explorer, and observer.
modelcontextprotocol/python-sdk v2.0.0b1
First v2 beta, and the first release with full support for the 2026-07-28 MCP specification, condensed: A new core. The session-centric v1 internals are replaced by a dispatcher/runner pipeline built for the stateless.
Safely Releasing Frontier Models to Customers
It’s our goal for AWS to be the most secure place to run any workload, and in support of that we’ve been deeply investing in security across our services since AWS's inception more than two decades ago. Our AI service.
How to Govern Autonomous Agents in Enterprise AI Factories
AI agents are quickly moving beyond chat. They inspect code, run tests, read documents, search knowledge bases, query internal systems, and operate for hours.
Have your agent record video demos of its work with shot-scraper video
shot-scraper video is a new command introduced in today's shot-scraper 1.10 release which accepts a storyboard.yml file defining a routine to run against a web application and uses Playwright to record a video.
GitHub Repos
cft0808/edict
🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails
# Python# ai agents# ai orchestrationD4Vinci/Scrapling
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
# Python# ai# ai scrapingAI-QL/tuui
A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API...
# TypeScript# agent# agentic aiResearch Papers
OpenCUA: Open Foundations for Computer-Use Agents
This work proposes OpenCUA, a comprehensive open-source framework for scaling CUA data and foundation models and releases the annotation tool, datasets, code, and models to build open foundations for further CUA research.
Diversity-Aware Policy Optimization for Large Language Model Reasoning
A systematic investigation into the impact of diversity in RL-based training for LLM reasoning, and a novel diversity-aware policy optimization method that achieves a 3.5 percent average improvement across four mathematical reasoning benchmarks, while generating more diverse...
KLASS: KL-Guided Fast Inference in Masked Diffusion Models
KL-Adaptive Stability Sampling (KLASS), a fast yet effective sampling method that exploits token-level KL divergence to identify stable, high-confidence predictions that speeds up generation significantly while maintaining sample quality is introduced.