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AI may be good with words, but when it comes to numbers, duh?
There’s a really interesting research paper recently published by Apple’s engineers looking at how well LLMs (Large Language Models), the heart of AI systems like ChatGPT, and asking about their ability to deliver mathematical reasoning. They conclude that they are not ready for prime time right now. To illustrate the issue, TechCrunch gave this example: Let’s say……
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AI may be good with words, but when it comes to numbers, duh?
There’s a really interesting research paper recently published by Apple’s engineers looking at how well LLMs (Large Language Models), the heart of AI systems like ChatGPT, and asking about their ability to deliver mathematical reasoning. They conclude that they are not ready for prime time right now. To illustrate the issue, TechCrunch gave this example: Let’s say……
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AI may be good with words, but when it comes to numbers, duh?
There’s a really interesting research paper recently published by Apple’s engineers looking at how well LLMs (Large Language Models), the heart of AI systems like ChatGPT, and asking about their ability to deliver mathematical reasoning. They conclude that they are not ready for prime time right now. To illustrate the issue, TechCrunch gave this example: Let’s say……
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AI may be good with words, but when it comes to numbers, duh?
There’s a really interesting research paper recently published by Apple’s engineers looking at how well LLMs (Large Language Models), the heart of AI systems like ChatGPT, and asking about their ability to deliver mathematical reasoning. They conclude that they are not ready for prime time right now. To illustrate the issue, TechCrunch gave this example: Let’s say……
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Things worth reading: 18th October 2024
Things we’re reading today include: Donald Trump’s $300M Crypto Venture Faces Backlash (msn.com) Siam Commercial Bank launches stablecoin cross border payments – Ledger Insights – blockchain for enterprise Russia Economy: Moscow Blocking Sale of Western Bank Assets to Local Firms – Business Insider Stripe in talks to acquire fintech startup Bridge for $1B – SiliconANGLE……
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How the internet has taken over our lives
I remember companies like Gartner and Forrester predicting that there would be a trillion dollar market in online sales by 2020 back in the 1990s. Now we are in 2024, it’s a three trillion dollar market, and so I thought it might be interesting to look at the various statistics being bandied about by firms……
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The Finanser’s Week: 14th October – 20th October 2024
This week’s main blog discussions include … Is 2025 Meta’s nemesis year? Thinking about the Big Tech firms, most of them are enabling commerce. Amazon and Apple are building specific structures to make buying and selling easy. But one company is enabling fraud, scams and criminal activities. Meta. Meta runs Facebook, Instagram and WhatsApp, as……
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Where is the National Payments Vision?
A year ago, a government commissioned report in the UK asked for a National Payments Vision and Strategy, or NPVS for short. Looking into this a year later, there does not seem to be much action. The report was produced by Joe Garner, founder of a start-up in the dot.com boom, a director at the……
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Things worth reading: 22nd October 2024
Things we’re reading today include … How scammers duped job seekers with a fake bank branch – BBC News HSBC splits up bank amid growing tensions between China and the West Santander launches Openbank in the US, expanding its consumer banking business nationwide Bank of America exec stripped of his role after death of Green……
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Today’s banking, crypto and fraud, and tomorrow’s jobs of the future (four reports)
I just picked up several interesting reports. The first is McKinsey’s review of Banking 2024. The good news? “The past two years have been the best for banking since before the Great Recession. Globally, banks generated $7 trillion in revenue and $1.1 trillion in net income, with return on tangible equity (ROTE) reaching 11.7 percent. Banks……