Latest Artificial Intelligence News & Dispatches
Continuous coverage of model releases, agentic tools, AI compute infrastructure, and SaaS industry shifts.
Deploy 4 IBM HGX B300 Inference Clusters with Ray Serve & Together AI in 2026
Architect 5 Enterprise EMA Gateway Workflows That Secure MCP Server Fleets in 2026
Dimensions MCP Servers Unlock 150M+ Scientific Papers
AI-powered research is taking a quantum leap forward as the new Dimensions MCP servers launch, granting agents direct access to 150M+ scientific publications and patents.
GitHub Enterprise Rolls Out Strict MCP Allowlists
Microsoft is fundamentally changing how AI agents operate in production by introducing strict MCP (Model Context Protocol) allowlists for GitHub Enterprise.
Agent Plugins 1.0 Build Pipeline: Package Skills + MCP Servers
Package AI agent capabilities into portable, vendor-neutral Agent Plugins that bundle Skills with MCP servers, then automate schema validation, multi-client smoke tests, and catalog publishing.
MRTR Human-Approval Workflow on Stateless MCP 2026-07-28
Architect a stateless MCP server on Cloudflare Workers that survives restarts between rounds of a human approval gate using MRTR requestState, the tasks extension, and RFC 9207 OAuth verification.
GPT-5.6 Sandbox Tool Calling: Orchestrate Model-Written JS
Operate OpenAI's GPT-5.6 programmatic tool calling in production: let Luna, Terra, or Sol author typed JavaScript that orchestrates allowlisted tools inside the OpenAI sandbox, with approval gates, step budgets, and OpenTelemetry tracing.
ARD MCP Server: Discover & Route Agent Tools Across the Web
Google's Agentic Resource Discovery (ARD) protocol, built under the Linux Foundation AAIF, lets an agent ask what is available before anything runs. This guide builds a stateless ARD-style MCP discovery server that indexes plugins, MCP servers, and skills and answers query-by-task searches with ranked, cacheable results.
Agent Plugins MCP Installer: Bundle Skills into Claude & Cursor
Agent Plugins 1.0.0 is the Linux Foundation AAIF's vendor-neutral bundle format from Amazon, Cursor, Microsoft, OpenAI, and Vercel. This guide builds a stateless FastMCP installer that fetches, validates, maps, and installs plugin bundles into Claude Desktop and Cursor - and uninstalls or updates them on demand.
Agent Plugins 1.0 Deep Dive: The Portable Standard for Skills + MCP
On August 6, 2026, the Linux Foundation's Agentic AI Foundation shipped Agent Plugins 1.0.0 — the first truly vendor-neutral way to package Agent Skills and MCP servers into one portable, write-once-run-anywhere directory. Here is the full technical breakdown and what it means for your build.
Claude Opus 5 vs Claude Fable 5: Near-Frontier at Half the Price
Anthropic released Claude Opus 5 on July 24, 2026 at $5 in / $25 out per million tokens — half the price of the flagship Claude Fable 5. Here is the token economics, the latency math, and a routing playbook for when to pay for frontier and when Opus 5 is the smarter call.
Thinking Machines' Inkling: Murati's Apache-2.0 MoE for Fine-Tuning
Mira Murati's Thinking Machines Lab shipped its first model: Inkling, an Apache-2.0 Mixture-of-Experts built deliberately as a fine-tuning base, not a frontier competitor. Here is the MoE fine-tuning strategy, quantization reality, and the fine-tune vs RAG vs prompt decision framework.
GPT-5.6 Programmatic Tool Calling: When the Model Writes JS to Drive Tools
GPT-5.6, GA on July 9 2026 as Luna, Terra and Sol, added programmatic tool calling: the model writes JavaScript that orchestrates your tools inside OpenAI's sandbox instead of round-tripping every call through the conversation. Here is a worked example, the security model, and the budgets that make it safe.
Open Weights vs Export Controls in 2026: America's Open Model Fight
August 2026 opened with 25+ companies — Nvidia, Microsoft, Meta, then Google and OpenAI — signing a letter urging Washington not to restrict open-weight models, months after Claude Fable 5's worldwide suspension. This is the policy-economics collision shaping every enterprise model decision.