Recent Articles - Page 31

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

Reasoning Leaks, Hard Limits, and Self-Aware LLMs

Reasoning Leaks, Hard Limits, and Self-Aware LLMs

Three new papers expose how reasoning traces can be extracted from supposedly hidden model internals, where chain-of-thought hits an architectural ceiling, and how RL teaches models to know when to quit.

Cohere Command A+

Cohere Command A+

Cohere Command A+ is a 218B sparse MoE model with Apache 2.0 license, native citations, and a 128K context window that runs on just two H100 GPUs.

Open Source LLM Hosting Costs - June 2026

Open Source LLM Hosting Costs - June 2026

Verified June 2026: real cost per million tokens for self-hosting Llama 4 Scout, Maverick, Qwen3-235B, and DeepSeek V3.2 - GPU requirements, cost formulas, and when cheap APIs actually win.