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We told AI to make our work easier.
Apparently, AI took that as “make everything faster.” 😂

Claude recently got its hands on some serious scientific models, and what happened next is worth a look.

Here's what else happened in AI while you were busy.

“If I were a farmer, I would absolutely use AI.” 

That’s Jensen Huang, founder and CEO of NVIDIA. 

He’s pointing to one of AI’s biggest untapped opportunities: farming. 

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^{𝘐𝘯 𝘮𝘢𝘬𝘪𝘯𝘨 𝘢𝘯 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯, 𝘪𝘯𝘷𝘦𝘴𝘵𝘰𝘳𝘴 𝘮𝘶𝘴𝘵 𝘳𝘦𝘭𝘺 𝘰𝘯 𝘵𝘩𝘦𝘪𝘳 𝘰𝘸𝘯 𝘦𝘹𝘢𝘮𝘪𝘯𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘵𝘩𝘦 𝘪𝘴𝘴𝘶𝘦𝘳 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘵𝘦𝘳𝘮𝘴 𝘰𝘧 𝘵𝘩𝘦 𝘰𝘧𝘧𝘦𝘳𝘪𝘯𝘨, 𝘪𝘯𝘤𝘭𝘶𝘥𝘪𝘯𝘨 𝘵𝘩𝘦 𝘮𝘦𝘳𝘪𝘵𝘴 𝘢𝘯𝘥 𝘳𝘪𝘴𝘬𝘴 𝘪𝘯𝘷𝘰𝘭𝘷𝘦𝘥. 𝘋𝘐𝘛 𝘈𝘨𝘛𝘦𝘤𝘩 𝘩𝘢𝘴 𝘧𝘪𝘭𝘦𝘥 𝘢 𝘍𝘰𝘳𝘮 𝘊 𝘸𝘪𝘵𝘩 𝘵𝘩𝘦 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴 𝘢𝘯𝘥 𝘌𝘹𝘤𝘩𝘢𝘯𝘨𝘦 𝘊𝘰𝘮𝘮𝘪𝘴𝘴𝘪𝘰𝘯 𝘪𝘯 𝘤𝘰𝘯𝘯𝘦𝘤𝘵𝘪𝘰𝘯 𝘸𝘪𝘵𝘩 𝘪𝘵𝘴 𝘰𝘧𝘧𝘦𝘳𝘪𝘯𝘨, 𝘢 𝘤𝘰𝘱𝘺 𝘰𝘧 𝘸𝘩𝘪𝘤𝘩 𝘮𝘢𝘺 𝘣𝘦 𝘰𝘣𝘵𝘢𝘪𝘯𝘦𝘥 𝘩𝘦𝘳𝘦: https://bit.ly/4bzuWCi​}

— Rana el Kaliouby

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Google is redesigning CC AI to help families keep up with everyday tasks, from planning and reminders to organizing what needs to get done. The idea is to make AI less about answering questions and more about helping manage the messy details of daily life.

More than half of consumers surveyed by Experian say they’d be comfortable letting an AI agent apply for a loan or credit card on their behalf. The shift shows how quickly people are becoming comfortable with AI handling decisions that used to require a human.

OpenAI is bringing Appshots to Windows, giving ChatGPT context from the apps you’re working in. That means less copying and pasting when you need help debugging, recreating a UI, or pulling information from another app.

King Charles recently brought AI leaders from OpenAI, Anthropic, Google DeepMind, and Nvidia together in Scotland to discuss the technology’s risks and potential. He called for safeguards and international cooperation as AI continues to develop rapidly.

OpenAI’s new Astra for Law is built specifically for that kind of work. It combines GPT-6 Astra with a legal search index covering more than 230 million URLs, alongside tools and instructions tailored for legal research, analysis, and writing.

In OpenAI’s testing, Astra for Law passed 54% of 200 legal research questions, compared with 38.7% for GPT-6 Astra using web search alone. It also found more relevant case-law references.

The bigger idea is interesting: law firms can also build AI workflows around their own precedents, expertise, and existing legal tools.

Scientists usually spend weeks squeezing more speed out of complex biological models.

Claude did it across more than 30 models in under four weeks, making them roughly 4× faster on average. It also found a way to run much larger molecular systems with less memory.

And this is part of a bigger shift inside Anthropic. Claude now leads 26% of the company’s AI research and development work, up from just 1% in March.

The interesting part? Claude isn’t just helping scientists use AI. It’s starting to improve the tools they use to do science. 👀

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