
Anthropic just shipped Claude Sonnet 5. They call it its most agentic Sonnet model yet. It plans, drives browsers and terminals, and runs autonomously across long tasks. Sonnet 5 is the default model for Free and Pro plans today. Max, Team, and Enterprise users can select it. It is also live in Claude Code and on the Claude Platform. TL;DR Sonnet 5 is Anthropic’s most agentic mid-tier model, closing much of the gap to Opus 4.8. Beats Sonnet 4.6 on every published benchmark: 6
Anthropic released Claude Sonnet 5, a mid-tier AI model positioned between its cheaper and more powerful offerings, with improvements focused on handling longer task chains and better self-correction when tools fail. The model beats its predecessor on every published benchmark, including agentic coding tasks where it scores 63.2% compared to the previous version's 58.1%, though Anthropic's flagship model still leads at 69.2%. Sonnet 5 offers introductory pricing that undercuts some competitors, making it the most cost-effective choice for low and medium complexity tasks, though the flagship model remains better for accuracy-critical work. The model introduces adjustable effort levels that trade off between reasoning depth and token consumption, allowing developers to balance quality and cost based on their specific needs.
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Also reported by SiliconANGLE and TechCrunch

Here's a question straight out of sci-fi: What if AI could predict what you were going to do before you decided to, even in a completely new situation?
Also reported by SiliconANGLE

Deep Principle has released Hydrogen-1.0, an open-weight scientific model for chemistry, materials science and life sciences. It is built by post-training Z.ai’s GLM-5.3 on domain data, laboratory records and agent discovery trajectories. For developers, it offers open weights that report a FrontierScience-Research win over GPT-6-Astra. The weights ship under the MIT License. TL;DR Size: 753B parameters (MoE, ~40B active per the GLM-5.3 base), 1M-token context, 128K max output.

The weights of Mistral Large 4 (Le Chonk) are now open. A 1T parameter multimodal model, and best open-weight model for coding, trained in Europe.

OpenAI has updated its Model Spec, restructuring its AI behavior guidelines around five core values, including faithfulness to human intent and correctability. GPT models should now draw on conversation history to figure out what users actually want and disclose their own assumptions. Whether the models follow these rules is another matter. The article OpenAI sets new behavioral guidelines for AI models that have already proven hard to control appeared first on The Decoder.

Nvidia has released Nemotron 3.5 Transcribe, an open speech recognition model that handles transcription, speaker recognition, and translation and takes its instructions as text prompts. It leads several benchmarks and uses only a sixth of the active parameters of its strongest open rival. Nvidia is also shipping a dataset with more than 800,000 hours of speech, along with tools for fine-tuning. The article Nvidia's open Nemotron 3.5 Transcribe combines transcription, translation,
Also reported by MarkTechPost