NVIDIA Releases Nemotron 3.5 Super VL
NVIDIA's Nemotron 3.5 Super VL is a 120B-parameter multimodal agent model combining vision, reasoning, coding, and tool use in one open, deployable checkpoint.
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Maia 300 Inference Chip: Microsoft’s Azure AI Push
Microsoft's Maia 300 Inference Chip delivers up to 7x the token throughput of Maia 200 and 40% more tokens per megawatt than leading GPU-based systems, reshaping Azure's AI infrastructure economics.
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Claude Code Mods: Programmable Runtime Security Risks
Claude Code Mods shift Anthropic's coding agent into a programmable runtime, and they are on by default. Here is how they work and how to secure them.
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ChatGPT’s Responses Investigated in School Shooting
What ChatGPT reportedly said about weapons in the Tumbler Ridge shooting transcripts, and what investigators can prove from those conversations.
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AI Background Automation: Build Pipelines That Run Unattended
AI background automation runs AI-powered workflows on schedules and triggers without manual oversight. Learn which tools to use and how to build pipelines that hold up in production.
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Wix Base44 Base Code: AI Cloud Dev Environment
Base44, Wix's AI app-building platform, launched Base Code: a cloud environment that converts natural language into deployable app scaffolds with built-in collaboration.
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DLSS 5s Unsettling Effects on Older Games and Graphics
DLSS 5 synthesizes new pixel data using generative AI, and in older games that means invented detail that conflicts with original art direction and a 40-60% performance cost.
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Claude Opus 5.5: Performance Gains & Lower Costs
Claude Opus 5.5 from Anthropic cuts run costs and speeds output generation over Opus 5. Pricing breakdown and best use cases for AI teams.
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NotebookLM Features and Subscription Value
A practical breakdown of NotebookLM features, free plan limits, and whether NotebookLM Plus is worth the subscription for researchers and teams.
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New System 1 Jev: Fast AI Classification Model
Jev is TypeSafe AI's New System 1 model for fast, typed classification decisions. Here is how it differs from frontier LLMs and where it fits in production pipelines.
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