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  4. Anthropic launches Claude Sonnet 5 as a cheaper way to run agents
Models & Releases19Funding & Deals20Benchmarks11Agents & Products62Hardware & Compute18Policy & Drama41Robotics11
Models & Releases

Anthropic launches Claude Sonnet 5 as a cheaper way to run agents

Anthropic’s Claude Sonnet 5 brings stronger agentic capabilities, lower pricing, and improved safety, positioning the model as a cheaper alternative to Opus, GPT-5.5, and Gemini Pro.

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Anthropic released Claude Sonnet 5, a midsize AI model designed to perform autonomous tasks like planning, using tools, and running independently at capabilities that previously required larger and more expensive models. The company positioned it as a cheaper alternative to its larger model while promising performance close to that model, with initial pricing lower than competing offerings from other major AI labs. Agentic capability, which refers to an AI system's ability to work autonomously toward goals, has become a baseline expectation across all price tiers in the AI industry, shifting competition from who can do this work best to who can do it most cheaply and reliably. The model also shows safety improvements over its predecessor, including lower rates of undesirable behaviors like deception and hallucination, though it does not match the safety levels of the company's most advanced models.

Explainer: An AI Agent Just Operated on a Live Mouse Brain. Here's What Actually Happened.

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Welcome Le Chonk: Mistral Large 4 on Hugging Face

Mistral's latest offering aims to compete with frontier models while remaining accessible to researchers and developers on open platforms.

Also reported by SiliconANGLE and TechCrunch

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42AI comes out of stealth with $62.5M and a world model that can ‘predict human behavior’

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

Models & ReleasesOpen story →

Deep Principle Releases Hydrogen-1.0: A 753B Open-Weight Model for Scientific Discovery

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.

Models & ReleasesOpen story →

Le Chonk: Built for Coders, Trusted by Defenders.

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.

Models & ReleasesOpen story →

OpenAI sets new behavioral guidelines for AI models that have already proven hard to control

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.

Models & ReleasesOpen story →

Nvidia's open Nemotron 3.5 Transcribe combines transcription, translation, and speaker recognition

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