Hub AI in practice

Artificial Intelligence is present in everyday life – from “googling” to facial recognition to vacuum cleaner robots. AI tools are becoming more and more elaborate and support people and companies more effectively in their tasks, such as generating graphics, texting or coding, or interpreting large amounts of data.

What AI tools are there, how do they work, how do they help in our everyday world – and how do they change our lives? These are the questions we address in our Content Hub Artificial Intelligence in Practice.

AI in practice
Update

OpenAI's largest model GPT-4.5 is now available for ChatGPT Plus

AI in practice

Anthropic launches Claude 3.7 Sonnet hybrid AI model and Claude Code programming tool

AI in practice

Anthropic CEO expects major AI breakthrough, plans to launch "virtual collaborators"

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AI in practice
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Tesla has updated its Optimus humanoid robot with a new hand design that features 22 degrees of freedom, plus three more in the forearm. The company added a soft protective layer to the fingers and palm that preserves the hand's tactile sensing capabilities while enabling it to handle delicate objects. All of the hand's actuators now sit in the forearm. Tesla says it plans to finish integrating the tactile sensors, implementing tendon-based fine control, and reducing the forearm's weight by the end of this year. Going forward, Tesla intends to equip all new Optimus robots with this enhanced hand design.

AI in practice
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The 7-billion-parameter language model Teuken-7B is now available on Hugging Face, offering support for all 24 official European Union languages. The model comes from the EU's OpenGPT-X research project and is available as open-source. Unlike most AI language models that focus mainly on English, Teuken-7B was built from scratch with about half of its training data coming from non-English European languages. The developers say the model performs reliably across all languages it was trained on. The project team also created the European LLM Leaderboard that measures how well LLM's work across European languages, moving beyond the English-only testing that was standard before.

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AI in practice
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Cradle, a protein engineering AI startup based in Amsterdam and Zurich, has raised $73 million in Series B funding. The round was led by investment firm IVP, with participation from existing investors Index Ventures and Kindred Capital. This latest investment brings Cradle's total funding to over $100 million. The company's AI platform helps researchers accelerate protein engineering by making the process simpler and more cost-effective, reducing the time and resources needed to develop improved proteins, according to Cradle. Cradle plans to use the new funding to expand its wet lab facilities and improve its machine learning systems. The company has already partnered with major biotech companies, including Novo Nordisk and Ginkgo Bioworks.

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AI startup /dev/agents has secured $56 million in funding to create an operating system for AI agents. The company aims to enable computers to collaborate like humans do, which requires developing new user interfaces, updated privacy protection models, and a simplified developer platform, the company says. The founding team brings together several experienced tech leaders: David Singleton joins as former CTO at Stripe. Ficus Kirkpatrick led AR/VR at Facebook after spending 11 years at Google. Hugo Barra previously held key positions at Google, Xiaomi, Meta and Detect. Nicholas Jitkoff worked on operating system design at Google, Meta, Dropbox, and Figma. Björn Bringert managed Google Search on Android for a decade.

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Anthropic has updated its AI assistant Claude to better match different writing styles. The system can now analyze text samples to learn and replicate specific writing patterns, though this approach may not be as reliable as traditional many-shot prompting methods. But it's more accessible. In addition to custom style matching, Claude now includes three preset writing options. A formal writing mode produces clear, professional text. A concise mode produces shorter, more direct responses. An Explanatory mode provides detailed breakdowns of complex topics.

Video: Anthropic via X

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AI research

So-called reasoning models are more efficient but not more capable than regular LLMs, study finds

AI research

The next leap in AI depends on agents that learn by doing, not just by reading what humans wrote

AI in practice

OpenAI launches GPT-4.1: New model family to improve agents, long contexts and coding

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