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🚀 SpaceX Completes $60B Cursor Acquisition
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🔓 Alibaba Releases Open-Weight Qwen 3.8
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📰 Top News
🚀 SpaceX Completes $60B Cursor Acquisition
SpaceX has officially closed its $60 billion purchase of AI coding startup Cursor after final regulatory clearances. Staff were told the Cursor brand will likely be phased out, with an upcoming agent code-named “Sand” possibly rebranded “Grok Bot.”
The deal pairs Cursor’s product and customers with SpaceX’s Colossus supercomputer to accelerate stronger AI models.
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💰 OpenAI’s Revenue Run Rate Tops $40 Billion
OpenAI is now generating more than $40 billion a year on an annualized basis — roughly double its late-2025 rate — driven by AI coding tools, subscriptions, and a new advertising business.
Cofounder Greg Brockman said the run rate grew more than 20% month-over-month in July as the company prepares to go public. It still trails Anthropic’s reported $47 billion rate.
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🔓 Alibaba Releases Open-Weight Qwen 3.8
Alibaba has published the open weights for Qwen3.8-Max (and the 27B variant) on Hugging Face and ModelScope under Apache 2.0. The flagship MoE model has 2.4 trillion total parameters (~95B active), 1-million-token context, and multimodal input.
On Alibaba’s tests it leads rivals on computer-use and long-document tasks but trails on the hardest coding benchmarks.
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✨ Gemini Lets You Turn Off Visible AI Watermarks
Google’s Gemini app now includes a “Media watermark” toggle that removes the visible spark icon from images, videos, and songs made with Nano Banana, Omni, and Lyria.
The option is unavailable in countries where law requires the mark; invisible SynthID watermarks and C2PA metadata remain for traceability. The setting is rolling out across platforms.
📰 Around The Web
How does ChatGPT work?
The GPT in ChatGPT stands for Generative Pre-trained Transformer—the architecture that powered the original underlying AI models. OpenAI has launched multiple model families since, but a lot of what's happening under the hood remains consistent across all of them.
ChatGPT automatically routes each request to whichever model (or combination of models) is best equipped to handle it. Unless you select one yourself in the model picker, it chooses for you.
Here's what's actually happening when you send ChatGPT a prompt (keep reading for a deeper dive):
ChatGPT breaks the text into tokens.
It runs them through its transformer-based network to identify what matters most.
It generates an output sequence of tokens that best fits your request—drawing on its training data, fine-tuning, and a small amount of randomness.
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🔎 Quick Bites
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