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Latest News

Canada Launches $2.3B National AI Strategy

Canada Launches $2.3B National AI Strategy

PM Mark Carney's AI for All commits $2.3 billion to hit 250,000 new jobs and 60% business adoption by 2034 - but critics call it a wish list without hard delivery mechanisms.

Apple's iOS 27 Beta Ships the Multi-Model Extensions API

Apple's iOS 27 Beta Ships the Multi-Model Extensions API

iOS 27 Beta 1 is live for developers today, shipping Apple's new Extensions framework that lets Gemini, Claude, and ChatGPT plug into Siri - plus the Nvidia B200 Confidential Computing architecture that keeps those cloud queries private.

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Guides

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Reviews

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MiniMax M3 Review: The Price Disruptor with Caveats

MiniMax M3 Review: The Price Disruptor with Caveats

MiniMax M3 arrives as the first open-weight model to combine frontier coding, 1M-token context, and native multimodality - at a fraction of proprietary pricing - but every benchmark figure is self-reported and the weights weren't even shipped at launch.

Leaderboards

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AI Image Generation Leaderboard: Best Models 2026

AI Image Generation Leaderboard: Best Models 2026

Current rankings of the best AI image generation models, including GPT Image 2, Nano Banana 2, Recraft V4.1, HiDream-O1-Image, FLUX 2, Midjourney v8.1, and Ideogram 3.0, scored on human preference, text rendering, and photorealism.

Models

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Ministral 3 8B

Ministral 3 8B

Mistral AI's mid-tier open-weight edge model - 8B parameters, 256K context, Apache 2.0 license, built for agentic pipelines and cost-sensitive production workloads.

Devstral 2

Devstral 2

Mistral's open-weight coding agent model - 123B parameters, 256K context window, 72.2% on SWE-bench Verified, priced at $0.40/M input tokens.

Grok Build 0.1

Grok Build 0.1

Grok Build 0.1 is xAI's first model built specifically for agentic coding workflows, with a 256K context window, native MCP support, and always-on reasoning at $1/M input tokens.

Recent

MiniMax M2.5

MiniMax M2.5

MiniMax M2.5 is a 230B MoE model (10B active) that scores 80.2% on SWE-Bench Verified while costing 1/10th to 1/20th of frontier competitors like Claude Opus 4.6 and GPT-5.2.

Qwen3.5-122B-A10B

Qwen3.5-122B-A10B

Qwen3.5-122B-A10B is a 122B-parameter MoE model activating 10B parameters per token, narrowing the gap between medium and frontier models with top scores in GPQA Diamond (86.6), MMMU (83.9), and OCRBench (92.1). Apache 2.0 licensed.