Tech News
Everyone feared AI taking over; the real danger is AI serving just the few
A Hacker News discussion argues that the real AI risk is not AI enslaving humanity, but governments and Big Tech capturing AI for the benefit of the few, sparking debate on regulation and access.
Quoting OpenAI
We're beginning a limited preview of the GPT‑5.6 series: Sol, our flagship model; Terra, a balanced model for everyday work; and Luna, a fast and affordable model. Terra has competitive performance to GPT‑5.5 while.
Deploy a Production-Ready NVIDIA AI-Q Blueprint on Oracle Cloud Infrastructure
AI agents have changed a lot in the last two years. The first could only answer one question at a time. Then came multi-turn chat, where the model could keep.
Production-grade AI agents for financial compliance: Lessons from Stripe
In this post, you learn how Stripe built a production-grade AI agent system for financial compliance. We cover the technical architecture of Stripe’s ReAct agent framework and the infrastructure decisions behind a ded.
modelcontextprotocol/python-sdk v2.0.0a3
Third v2 alpha. Pre-releases are opt-in only; pip install mcp still resolves to the stable 1.x line. bash pip install mcp==2.0.0a3 or uv add "mcp==2.0.0a3" See the migration guide The 2026-07-28 spec revision drops.
GitHub Repos
opendatalab/MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
# Python# ai4science# document analysissickn33/antigravity-awesome-skills
Installable GitHub library of 1,600+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more.
# Python# agent skills# agentic skillsjgravelle/jcodemunch-mcp
Cut AI token costs 95%+ on code exploration.
# Python# ai coding# ai toolsResearch 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.