موضوع
مدلها، ایجنتها، پژوهش و یادگیری ماشین کاربردی.
Google researchers open sourced EnvHarness, a framework that dynamically adapts agent training environments to an agent's weaknesses without modifying the agent, environment, or evaluation system. According to the researchers, this approach can improve both learning effectiveness and efficiency while helping agents…
Why Zephon? The data that a model sees during training is one of the most powerful levers we have for influencing how well it performs. Much of the day to day work... The post Bringing Elastically Deterministic Data Loading to TorchTitan with Zephon appeared first on PyTorch .
Prasanna Vijayanathan , Renzo Sanchez Silva When Jake Paul and Mike Tyson stepped into the ring in November 2024, we delivered the fight to roughly 65 million concurrent streams. On an ordinary day our infrastructure takes in more than 2 billion requests and handles upwards of 38 million real time logging events…
The 2026 Stack Overflow Developer Survey shows only 7% of developers trust AI output for important decisions. Here’s what that means for running agents safely.
How we used Partial Prefetching and a coding agent to improve navigation across v0 with Next.js 16.4.
A recent InfoQ webinar examined operational challenges in deploying agentic systems. Key points included issues like semantic and embedding drift, which can lead to significant errors. Experts discussed the need for automated code reviews, continuous evaluation of models, and enhanced privacy measures. The session…
Grafana Labs is proposing a familiar reliability engineering approach for one of the less familiar problems in modern software: how to measure whether an AI agent is actually behaving well. By Craig Risi
Discover how to keep software evolvable as systems, technology, and teams shift. This edition explores agentic fitness functions for semantic drift, treating human comprehension as a core design metric, cross cloud guardrails for regional autonomy, and aligning technical boundaries with Conway’s Law. Move beyond…
The release of Helidon 27 is the first release that follows the Oracle Tip & Tail Model of Library Development by which the Tip adopts the latest Java technology while the Tail provides a more stable and secure baseline. Concurrent with the release of JDK 27, new features in Helidon 27 include: an introduction to new…
Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies from prompt firewalling to agentic…
AWS has introduced two open source projects for AI agent development: Strands Decider 2B, a small model designed to make decisions within agent workflows, and Strands Box, a sandbox for controlling agent execution. Both projects address different aspects of building agents that use tools, execute code, and interact…
What can digital transformation teach us about AI adoption? Paul Boag revisits his book Digital Adaptation to show how lessons from the past can help organizations navigate the challenges of AI today. AI Workflow Business
Software supply chain security company Chainguard has announced two beta products for running and testing code written by developers and AI agents. Chainguard Workspaces provides remote development environments based on hardened microVMs, while Chainguard Checks moves continuous integration into the development loop.…
Agents already shop on the web, but they often use pages and tools originally built for people and search engines. Building a better shopping experience for agents means treating them as first class shoppers, with product information they can read directly and tools designed for agents to shop. Today, Vercel Shop ,…
Ryan is joined by Gabriela Moreira, CEO at Quint, about why formal specification languages like TLA+ are essential for catching system design flaws before writing code, how Quint brings developer friendly syntax and executability to formal methods, and the ways trace validation and model based testing can verify AI…
Microsoft will scale its Maia accelerator family to multi gigawatt deployments from 2027, making it the primary inference system for its own products. Maia 300 collapses scale up and scale out onto one Ethernet fabric and moves KV state between prefill and decode workers without leaving it. Practitioners have…
Two engineers shipped Stack Overflow for Agents in a few weeks with Codex, and its ChatGPT plugin helped drive up to 10× growth in agent creation.
Founded in 2008, Stack Overflow’s public platform is used by nearly everyone who codes to learn, share their knowledge, collaborate, and build their careers.
AI, agents, voice, and physical controls are shifting software development from operating tools to expressing intent—and helping developers stay focused on building. The post The next developer interface is ambient intelligence appeared first on The GitHub Blog .
Introducing the Rosalind Academic Plan, offering eligible academic labs sponsored access to GPT Rosalind and tools to advance life sciences research.
