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Tuesday, 20 October 2026 Sign in

Qwen3.5-9B

Model ● Covered in 3 stories + Follow

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Latest developments

Microsoft AI Releases Microsoft-Decision-1: A Qwen3.5-9B Decision-Scoring Model MarkTechPost · 1 week ago · 24

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses Microsoft · 1 week ago · 13

Microsoft just released Agent Lightning v1.0. Here’s why it matters for platform engineers. The New Stack · 1 month ago · 27

Timeline

Month Quarter Year

Q4 2026

Multiple companies released “decision/scoring” AI models that output calibrated probabilities over fixed options instead of generating free-form text Model release

Q3 2026

26 Aug Microsoft just released Agent Lightning v1.0. Here’s why it matters for platform engineers.

Relationships

Products & technology

Agent Lightning v1.0 integrated with this model · 1 source
Microsoft-Decision-1 derived from this model · 1 source

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TLDRocket 20 October 2026

Today’s biggest thread is the build-out of “agent infrastructure” that makes AI assistants feel less like chat windows and more like tools with their own computers, workflows, and controls. Daytona, a startup branding its stack as an “agentic cloud,” raised a $60 million Series B to a $1 billion valuation, aiming to speed up sandbox provisioning for agent “computers” with a 60-millisecond setup time—an attack on the bottleneck of traditional VM spin-up. IBM, Red Hat, and contributors also pushed in the same direction with llm-d framework v1.0, adding operational controls for distributed in-house inference, including a router that captured 97% cache reuse in an agentic coding test and improvements for multi-tenant QoS, zero-downtime upgrades, and request routing.

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