ChatGPT Work adds code execution and web automation Chat doesn't have

OpenAI is offering some large customers outcome-based pricing, where they pay only once the AI actually finishes a task. Salesforce, Adobe, and several startups are also moving away from fixed subscription fees. The central dispute stays the same. Who gets credit for the success, the software or the customer? The article OpenAI starts charging some customers only when its AI actually works appeared first on The Decoder.

OpenAI is offering some large customers outcome-based pricing, where they pay only once the AI actually finishes a task. Salesforce, Adobe, and several startups are also moving away from fixed subscription fees. The central dispute stays the same. Who gets credit for the success, the software or the customer? The article OpenAI starts charging some customers only when its AI actually works appeared first on The Decoder.

According to The Information, OpenAI has purchased tens of thousands of Mac minis and Mac Studios to train computer agents. Anthropic also relies on Apple hardware. Demand is so high that the most powerful models have been sold out for months. Apple’s Mac revenue rose by nearly 29 percent to $10.4 billion in the June quarter. The article OpenAI and rival AI labs are buying tens of thousands of Mac minis to train computer-use agents appeared first on The Decoder.

According to The Information, OpenAI has purchased tens of thousands of Mac minis and Mac Studios to train computer agents. Anthropic also relies on Apple hardware. Demand is so high that the most powerful models have been sold out for months. Apple’s Mac revenue rose by nearly 29 percent to $10.4 billion in the June quarter. The article OpenAI and rival AI labs are buying tens of thousands of Mac minis to train computer-use agents appeared first on The Decoder.

Tencent released Hy4 Preview, a new open-weight text-only large language model with 770B total parameters and a 1M token context window—a significant step up from its July predecessor Hy3 (295B parameters, 256K context). The model includes a configurable reasoning system with two effort levels: 'high' (default) and 'no_think' (reasoning disabled). Early testing shows the model's reasoning traces use informal, token-efficient language while working through creative tasks like generating SVG graphics. The model is available on Hugging Face at 1.56TB. This release signals continued competition in open-weight model development and demonstrates how reasoning traces can be inspected via chat templates to understand model decision-making.

Tencent released Hy4 Preview, a new open-weight text-only large language model with 770B total parameters and a 1M token context window—a significant step up from its July predecessor Hy3 (295B parameters, 256K context). The model includes a configurable reasoning system with two effort levels: 'high' (default) and 'no_think' (reasoning disabled). Early testing shows the model's reasoning traces use informal, token-efficient language while working through creative tasks like generating SVG graphics. The model is available on Hugging Face at 1.56TB. This release signals continued competition in open-weight model development and demonstrates how reasoning traces can be inspected via chat templates to understand model decision-making.