Tech News
How agents are transforming work
A new OpenAI research paper shows how AI agents are transforming work, enabling longer, more complex tasks and expanding productivity across roles.
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
bytedance/deer-flow
An open-source long-horizon SuperAgent harness that researches, codes, and creates.
# Python# agent# agenticruvnet/ruflo
🌊 The leading agent meta-harness for Claude.
# TypeScript# agentic ai# agentic frameworkcatlog22/Claude-Code-Workflow
JSON-driven multi-agent cadence-team development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution
# TypeScript# claude# claude codeResearch Papers
Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search
The core of AIGB-Pearl lies in constructing a trajectory evaluator to assess the quality of generated scores and designing a provably sound KL-Lipschitz-constrained score-maximization scheme to ensure safe and efficient exploration beyond the offline dataset.
KLASS: KL-Guided Fast Inference in Masked Diffusion Models
Masked diffusion models have demonstrated competitive results on various tasks including language generation. However, due to its iterative refinement process, the inference is often bottlenecked by slow and static sampling speed.
WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality
The paradigm of LLM-as-a-judge is emerging as a scalable and efficient alternative to human evaluation, demonstrating strong performance on well-defined tasks. However, its reliability in open-ended tasks with dynamic environments and complex interactions remains unexplored.