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ExternalCloud
Cloudflare Changelog

Radar - Radar Researcher adds richer sources and URL Scanner explanations

Cloudflare Radar expands the Radar Researcher ↗ beta with richer sources and new ways to investigate Internet data. Connected insights Radar Researcher responses can now link to relevant Radar pages, reports, and Cloudflare Blog posts. URL Scanner report explanations Select Explain with AI on a URL Scanner report ↗ to have Radar Researcher explain its findings and answer follow-up questions about the scanned site. Improved shared sessions Shared conversations now open in fullscreen, while

Radar
Cloudflare ChangelogRead original
ExternalCloud
Cloudflare Changelog

WAF - WAF Release - 2026-08-26 - Emergency

This emergency release updates an existing Next.js remote code execution rule to identify CVE-2026-75604 and adds a new rule for remote code execution in the Next.js Image Optimizer via crafted AVIF images. Key Findings CVE-2026-75604 affects Windows-hosted Next.js applications using both the Pages Router and App Router without Cache Components and can lead to unauthenticated remote code execution. GHSA-2xp9-vwfh-vxw4 affects the Next.js Image Optimizer and can lead to unauthenticated remote cod

WAF
Cloudflare ChangelogRead original
ExternalCloud
Cloudflare Changelog

Workers AI - Z.ai GLM-5.3 Flash now available on Workers AI

@cf/zai-org/glm-5.3-flash is now available on Workers AI. It is the first natively multimodal model in the GLM-5 series, built on a Mixture-of-Experts architecture with 320B total parameters and 18B active per token. GLM-5.3 Flash is the first GLM-family model on Workers AI to support multimodal inputs. It outperforms GLM-5.2 across benchmarks and real-world workloads at a lower price, while approaching Claude Opus 4.8 on coding and agentic benchmarks. GLM-5.3 Flash requires the Workers Paid pla

Workers AI
Cloudflare ChangelogRead original
ExternalObservability
Elastic Blog

Forging India's Digital Future: Elastic{ON} Comes to Mumbai

Join us at Elastic{ON} Mumbai to explore search, full-stack observability, and security, and how Elastic acts as the context engine that grounds agentic AI in your enterprise data, transforming regulatory mandates and data into an AI advantage.

Elastic BlogRead original
ExternalFrontend Development
Vercel Blog

Muse Image now available on AI Gateway

from Meta Superintelligence Labs is now available on AI Gateway. It is their first image model and a separate family from Muse Spark, returning images rather than text. Send a prompt and get an image back, or send an image with an instruction and get it changed. One model does both, so you don't switch models to move from generating to editing.Muse Image To use Muse Image, set to and call from the :modelmeta/muse-image-1.0generateImageAI SDK To steer the result toward art you already have, pa

Vercel BlogRead original
ExternalFrontend Development
Vercel Blog

Gemini 3.5 Transcribe now available on AI Gateway

from Google is now available on AI Gateway. It takes audio and returns text, in two variants:Gemini 3.5 Transcribe The model detects the language on its own, covers 85+, and follows a speaker who switches language partway through. You can also supply custom vocabulary so it recognizes names, jargon, and spellings. Streaming transcription is new in AI SDK V7: opens the socket and takes a of raw audio chunks, so you can pass a microphone straight through. Tell it the format you are sending with

Vercel BlogRead original
ExternalFrontend Development
Vercel Blog

Qwen 3.8 Flash now available on AI Gateway

from Alibaba is now available on AI Gateway. It takes text and images as input, serves a context window of 1 million tokens, and can return up to 65k tokens in a response. Alibaba recommends it for coding, tool use, and multi-step agent workflows.Qwen 3.8 Flash To use Qwen3.8-Flash, set to in the :modelalibaba/qwen3.8-flashAI SDK To use it in a coding agent, see the , then run to connect agents like Claude Code, Codex, OpenCode, Cursor, Pi, and more and select inside the agent.coding agents

Vercel BlogRead original

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