MIT Technology Review AI (1 hour ago)
Ask most executives to picture the cost of AI and they’ll likely see GPUs—racks of accelerators with gigawatts of power—and a waitlist for silicon. But that picture leaves something out: Data storage costs. What happens to data after a model responds?
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Over the years, enterprises have been in an all-out sprint to adopt the latest and greatest AI models. In that sprint, the average AI stack has grown quickly to include an array of platforms.
Barclays expects to have cut around 5,000 jobs by the end of 2026, roughly 5% of its staff. The bank said artificial intelligence and other technology now let it do the same work with fewer people.
Finance professionals used to learn their jobs by doing the work themselves. They processed invoices, reconciled accounts, investigated exceptions, chased approvals, and gradually developed the judgment needed to handle more complex situations.
Several years into its life, Gemini is still seen as subpar compared to Google’s legacy assistant.
Europe’s biggest news publishers are asking regulators in the EU and UK to stop Meta from introducing new business terms that they fear could allow the company to copy content from their websites for use in AI products. The changes are due to take effect on 30 October.
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Imagine your company just discovered electricity. At first only a few machines run on it, and nobody worries about efficiency — consumption is low and the value is obvious. But once electricity becomes infrastructure, every process depends on it, and the question changes from “can we use it?”
The current narrative around artificial intelligence in the workplace is largely driven by Silicon Valley. But treating the tech sector as an island misses the actual trends in technology adoption–tech is just the first industry in line.
Generative AI models run on powerful chips known as GPUs, which depend on stacks of specialized memory chips packaged with the processor. To meet growing demand for memory, Samsung is building a massive new semiconductor manufacturing complex in Pyeongtaek, South Korea.
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Until recently, you could divide internet users into just two categories: bots and people.
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