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

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

AI in practice

ChatGPT doesn't turn amateurs into great coders, Flappy Bird experiment shows

AI in practice

Don't use ChatGPT to message friends if you want healthy relationships

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AI in practice
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AI video generator Pika Labs has raised $80 million, joining other AI video startups like Runway, HeyGen, and Synthesia that have also raised larger amounts of funding recently. Pika Labs' valuation jumped to $470 million after the funding round, which still lags behind Runway's $1.5 billion valuation. What sets Pika apart from the standard AI startup is that it's training its own foundational model. "We're very confident that we're building the best foundational model for video," Pika co-founder Demi Guo told the Washington Post. The 13-person team includes former AI researchers from Google, Meta, and Uber. Based on demos, OpenAI's Sora currently leads all other AI video generators by a wide margin - but is not yet publicly available. The same goes for Google's video generator.

AI in practice
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TSMC CEO C.C. Wei says OpenAI CEO Sam Altman's plans to build new fabs for AI chips were "too aggressive" for his company. Altman reportedly proposed last year to build about three dozen fabs to meet the growing demand for AI services. TSMC declined, saying Altman's proposed number of fabs was too high and that it feared it would not be able to operate them at the required utilization rate of at least 80 percent. TSMC's projections at the time did not see enough demand for more than 30 new fabs. In January, the Financial Times and Bloomberg reported that Altman was planning a global chip network and was talking to several partners, including TSMC.

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Elon Musk rerouted Nvidia AI chips from Tesla to his AI company, xAI. Internal Nvidia emails obtained by CNBC show that Musk ordered the delivery of 12,000 GPUs with priority to X and xAI instead of Tesla. According to CNBC, this delays the delivery of more than $500 million worth of chips to Tesla by months, potentially hindering the development of the infrastructure needed for autonomous driving and robotics. In a post on X, Musk explained that "Tesla had no place to send the Nvidia chips to turn them on, so they would have just sat in a warehouse." Redirecting the scarce chips illustrates Musk's conflict of interest between Tesla and his AI ambitions. Musk has demanded more Tesla stock in the past, at least 25%, to invest more in AI within the company. It's all about controlling a potential key technology: Musk is the sole ruler of xAI.

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Microsoft is investing $3.2 billion over two years in cloud and AI infrastructure in Sweden. The company will deploy up to 20,000 Nvidia graphics processors, likely AMD processors, and possibly its own chips in its data centers to meet the growing demand for generative AI, Reuters reports. Microsoft also plans to train 250,000 Swedes in AI skills and invest in local renewable energy. President Brad Smith announced additional investments for this fall. The investment joins multi-billion dollar investments in Germany, Spain, Japan, Southeast Asia and the U.S., totaling more than $15 billion.

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AI in practice

OpenAI launches new reasoning model o3-mini for free ChatGPT and API

AI and society

'Inscrutable Wizards': How Chinese AI startup Deepseek is making Silicon Valley look slow

AI in practice

OpenAI's Operator and Computer-Using Agent bring autonomous AI agents closer to reality

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