Tail Control: The Counterintuitive Engineering of Reliable Agentic Workflows

Executive Summary Guarda Wallet launched in 2017 as a self-funded, non-custodial Android wallet built from scratch for a single chain. To grow beyond storage, its users needed to swap, buy, and stake inside the app — without Guarda becoming an exchange or building the infrastructure one demands. The team integrated ChangeNOW’s API as its exchange […]

A prompt injection attack can trick GitHub’s preview Agentic Workflows into retrieving content from private repositories and publishing it publicly, exposing a broader risk as enterprises deploy AI agents with privileged access to software development environments, according to new research from Noma Security. The AI security company detailed the attack, dubbed GitLost, in a blog post, saying an unauthenticated attacker could exploit GitHub’s preview Agentic Workflows by submitting a crafted GitHub issue to a public repository. If the AI agent has read access to private repositories within the same organization, it can retrieve sensitive information and publish it in a public comment, the company said. GitHub Agentic Workflows combine GitHub Actions with AI models such as Claude or GitHub Copilot, allowing developers to define workflows in Markdown. At the same time, AI agents read issues, invoke tools, and perform tasks on their behalf. “What will happen when the GitHub agent reads so

The post OpenAI GPT-5.6 Gets U.S. Commerce Nod for Broad Launch, Pre-IPO Perps Set to Explode? appeared on BitcoinEthereumNews.com. The U.S. Department of Commerce has given general permission to use OpenAI’s latest and greatest model, GPT-5.6, and traders with OpenAI pre-IPO perpetual futures are looking closely. Commerce Department Green-Lights OpenAI GPT-5.6 The clearance, which was first reported Tuesday by Axios, opens the door for a broader rollout of ChatGPT and API, which is anticipated as early as Thursday. It eliminates one of the largest regulatory clouds hanging over the open-market valuation of OpenAI’s private company, which has spurred an OpenAI pre-IPO perpetual futures market on sites such as Binance and Coinbase. The Commerce Department’s Center for AI Standards and Innovation ran the testing. To answer regulators’ questions on the fly, OpenAI deployed a dedicated technical team to Washington, D.C., to contribute to the sign-off process in a way that is unusual. There

JetBrains has announced JetBrains AI for Teams and Organizations, an initiative that promises to deliver a broad set of AI capabilities that connects AI tools developers already use with shared context, reusable agentic workflows, and organization-wide governance and cost control for software production. The intent is to move users from fragmented AI usage to coordinated software development, the company said. Unveiled July 7, JetBrains AI for Teams and Organizations will provide a unified system for agentic software development, according to the company. Vendor-agnostic by design, JetBrains AI for Teams and Organizations will connect external tools via Model Context Protocol (MCP) and external agents via Agent Client Protocol (ACP). Organizations will be able to evolve their AI stack without sacrificing governance or developer choice, the company said. Alongside new capabilities, JetBrains plans to evolve its commercial model to better support AI-powered software development. For bus

OpenAI added two Realtime models to its API. GPT-Realtime-2.1-mini is a mini reasoning model for voice, priced like the earlier gpt-realtime-mini. OpenAI also cut p95 latency by at least 25% through improved caching. Here is what changed, how pricing compares, and how to connect over WebRTC. The post OpenAI Releases GPT-Realtime-2.1 and GPT-Realtime-2.1-mini for Low-Latency Voice Agents in the API appeared first on MarkTechPost.

You can be forgiven if you think the most important thing AWS ever sold developers was EC2. It’s not. No, AWS’s big gift to developers was permission to stop fretting about servers. That sounds obvious now, but it was close to magical at the time. Before the cloud, getting infrastructure meant waiting on procurement, hardware, and the somewhat arcane process that stood between a developer and a running machine. AWS turned that into a credit card and an API. It was awesome. AWS still (over)uses a great phrase for what it removed: “undifferentiated heavy lifting.” That is, all the mess associated with racking servers, patching operating systems, managing storage, planning capacity, etc. Important work, sure, but not the work that makes your application special. Let AWS do that, the company intoned, and developers could focus on the thing their customers actually cared about. It was a brilliant abstraction. It helped build one of the most important technology companies of the past two dec

In this tutorial, we build a RAG-Anything workflow to explore how multimodal retrieval works across text, tables, equations, and images. We prepare a Colab environment, enter our OpenAI API key at runtime, and generate a synthetic report with a chart and PDF. We convert that content into RAG-Anything's direct content_list format and insert it into the retrieval system. We then configure OpenAI chat, vision, and embedding functions and test naive, local, global, and hybrid modes. The post RAG-Anything Tutorial: Build a Multimodal Retrieval Pipeline for Text, Tables, Equations, and Images in Colab appeared first on MarkTechPost.

GoMining is announcing the GoBTC Pay Gen1 SDK and API, allowing merchants, wallet providers, and ecosystem partners to integrate Bitcoin payments into real-world products and services. The introduction represents the next step of GoBTC Pay, GoMining’s layer 1 Bitcoin payment technology intended to facilitate quick, non-custodial Bitcoin transactions. The Gen1