Recent Articles - Page 27

Latest News

Anthropic's $1.5B Book Piracy Settlement Wins Approval

Anthropic's $1.5B Book Piracy Settlement Wins Approval

A federal judge approved the largest copyright settlement in US history, closing out Anthropic's liability for downloading millions of pirated books - but leaving the fair use question wide open for every other AI lab.

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Guides

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Reviews

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Kimi K3 Review: Best at Code, Worse at Honesty

Kimi K3 Review: Best at Code, Worse at Honesty

Moonshot's Kimi K3 tops LMArena's Frontend Code Arena and undercuts Opus 4.8 on cost per task, but a tripled price tag, a rising hallucination rate, and an unresolved distillation question complicate the win.

Leaderboards

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Models

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Qwen3-VL-235B-A22B

Qwen3-VL-235B-A22B

Alibaba's flagship open-weight vision-language MoE beats every proprietary model on DocVQA at 96.5% and MathVista at 85.8%, but trails GPT-5.4 and Gemini 3.1 Pro on broad MMMU-Pro reasoning.

DeepSeek-VL2

DeepSeek-VL2

DeepSeek-VL2 is DeepSeek's open-weight Mixture-of-Experts vision-language model, activating just 4.5B of its 27B parameters to hit 93.3% on DocVQA and beat GPT-4o on OCRBench.

Qwen2.5-VL-72B-Instruct

Qwen2.5-VL-72B-Instruct

Alibaba's dense 72B vision-language model tops the open-weight DocVQA leaderboard at 96.4% and remains the default self-hosted choice for document and chart understanding.

Recent

MAI-Code-1-Flash

MAI-Code-1-Flash

Microsoft's first in-house coding model, a 137B sparse MoE built natively for GitHub Copilot, beating Claude Haiku 4.5 on SWE-Bench Pro by 16 points.

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.

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.

Ministral 3 14B

Ministral 3 14B

Mistral AI's largest Ministral 3 model - 14B parameters, 256K context, Apache 2.0 license, multimodal, built for local deployment and agentic workflows.