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Transcript: The trouble with deepfakes -- Beyond control?
Hannah Murphy Before we begin, we'd love to hear a bit more about you and what you like about this show. We're running a short survey, and anyone who takes part before August 29th will be entered into a prize draw for a pair of Bose QuietComfort 35 wireless headphones. You can find a link to the
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The trouble with deepfakes: Beyond control?
Your browser does not support playing this file but you can still download the MP3 file to play locally. Anita was scrolling on Twitter when she found someone had made deepfake porn of her, without her permission. But that was just the start of her problems; she found it was difficult and
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The global semiconductor industry is in a fierce competition to develop alternatives to Nvidia's AI chips, as countries and companies seek to reduce reliance on the US-based tech giant.

Nvidia, the US-based technology company, has established a dominant position in the artificial intelligence (AI) chip market. The company's graphics processing units (GPUs) have become the go-to choice for training large language models and other AI applications. This dominance has led to a surge in Nvidia's market value, which recently surpassed $1tn
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.The overwhelming success of Nvidia's AI chips has sparked a global race to develop alternatives. Countries and companies worldwide are seeking to reduce their dependence on the US-based tech giant and create their own AI chip solutions
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.China, in particular, is making significant efforts to develop its own AI chips. The country aims to decrease its reliance on US technology, especially in light of export controls imposed by Washington. Chinese tech giants like Huawei and Alibaba are investing heavily in chip development to compete with Nvidia
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.European countries are also joining the race. The EU has launched the European Chips Act, allocating substantial funds to boost domestic semiconductor production and reduce dependence on foreign suppliers. Companies like Graphcore in the UK are working on developing AI-specific processors to challenge Nvidia's dominance
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.Major technology companies, including Google, Amazon, and Meta, are investing in developing their own custom AI chips. These efforts aim to optimize performance for their specific AI workloads and reduce reliance on external suppliers like Nvidia
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While the global race to develop AI chip alternatives is gaining momentum, challenges remain. Nvidia's technological lead and ecosystem of software and developer tools make it difficult for competitors to catch up quickly. However, the increasing demand for AI chips and the push for technological sovereignty are creating opportunities for new players in the market
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.The competition to develop AI chip alternatives is reshaping the global technology landscape. It has implications for national security, economic competitiveness, and the future of AI development. As countries and companies invest in their own chip technologies, the AI chip market is likely to become more diverse and competitive in the coming years
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