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10 years of fintech failure: 3 more ideas that failed to live up to the initial hype

TechCrunch

These ideas rolled out with hype and momentum, but they ultimately failed to change the way the average person manages their money. Rather, this piece will focus on fintech ideas that received some degree of initial hype and momentum, but ultimately failed to change the way the average person manages their money.

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What is the metaverse, and do I have to care?

The Verge

One part definition, one part aspiration, one part hype In recent months you may have heard about something called the metaverse. Microsoft’s Minecraft gets less hype than Roblox these days, but it enables similar activities through modding. Didn’t we have a whole metaverse hype cycle around Second Life in the ‘00s?

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Platforms break open!

Zen and the Art of Nonprofit Technology

Their code on the server-based method examples only include PHP at this point (the client based method code examples are in the expected HTML and Javascript.) Deliver, don’t just hype - of course, marketing is important, but when the rubber really has to meet the road, be there with more than vaporware.

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I saw Samsung’s first-ever QD-OLED TV, and it’s impressive

The Verge

It’s way more efficient than the color filter method, and so there’s no need for a white sub-pixel to help bring brightness back up. It’s the sort of thing that’s only noticeable in side-by-side comparisons. But the strange part about all this is that Samsung Electronics isn’t really hyping the OLED much.

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Pandas 2.0: A Game-Changer for Data Scientists?

Towards Data Science

Although I wasn’t aware of all the hype, the Data-Centric AI Community promptly came to the rescue: The 2.0 This means that certain methods will return views rather than copies when copy-on-write is enabled , which improves memory efficiency by minimizing unnecessary data duplication. Yep, pandas 2.0 is out and came with guns blazing

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Continuous AI Adapts to a Changing World

DataRobot

While AI systems have matured from science experiments to vital business-as-usual tools, not every AI project lives up to the hype. ” It is a Japanese business philosophy regarding the processes that continuously improve operations, and kaizen sees improvement in productivity as a gradual and methodical process.

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OpenAI’s latest breakthrough is astonishingly powerful, but still fighting its flaws

The Verge

But GPT-3, by comparison, has 175 billion parameters — more than 100 times more than its predecessor and ten times more than comparable programs. First, there’s the hype factor. The GPT-3 hype is way too much. GPT-2, released in 2019, contained 1.5 billion parameters. The entirety of English Wikipedia constitutes just 0.6

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