Tag: Alphabet

Anthropic confirms it suffered a data leak

It’s been an eventful week for AI startup Anthropic, creator of the Claude family of large language models (LLMs) and associated chatbots. The company says that on Monday, January 22nd, it became aware that a contractor inadvertently sent a file containing non-sensitive customer information to a third party. The file detailed a “subset” of customer […]

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FTC probes Amazon, Alphabet, Microsoft, OpenAI, Anthropic and their massive generative AI deals

In one of the first significant competitive practice actions around generative AI, the Federal Trade Commission (FTC) has launched inquiries into five top creators of the technology.  The agency today issued 6(b) orders to Amazon, Microsoft, OpenAI, Anthropic and Alphabet, requiring the companies to provide information about recent multi-billion-dollar investments and partnerships. The inquiry will […]

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Global leaders scramble to regulate the future of AI

There is no doubt that the pace of AI development has accelerated over the last year. Due to rapid advances in technology, the idea that AI could one day be smarter than people has moved from science fiction to plausible near-term reality. Geoffrey Hinton, a Turing Award winner, concluded in May that the time when […]

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This week in data: How to create or destroy value with generative AI

VentureBeat presents: AI Unleashed – An exclusive executive event for enterprise data leaders. Network and learn with industry peers. Learn More When it comes generative AI, data really is your moat. This week, we cover the latest in gen AI research from the Boston Consulting Group (BCG) (you may have read VentureBeat’s Matt Marshall’s latest perspective […]

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DeepMind discovers that AI large language models can optimize their own prompts

When people program new deep learning AI models — those that can focus on the right features of data by themselves — the vast majority rely on optimization algorithms, or optimizers, to ensure the models have a high enough rate of accuracy. But one of the most commonly used optimizers — derivative-based optimizers— run into trouble handling real-world […]

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