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cross-posted from: https://mander.xyz/post/985984

Researchers have unearthed hundreds of thousands of cuneiform tablets, but many remain untranslated. Translating an ancient language is a time-intensive process, and only a few hundred experts are qualified to perform it. A recent study describes a new AI that produces high-quality translations of ancient texts.

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cross-posted from: https://programming.dev/post/373221

Some interesting quotes:

Computers were very rigid and I grew up with a certain feeling about what computers can or cannot do. And I thought that artificial intelligence, when I heard about it, was a very fascinating goal, which is to make rigid systems act fluid. But to me, that was a very long, remote goal. It seemed infinitely far away. It felt as if artificial intelligence was the art of trying to make very rigid systems behave as if they were fluid. And I felt that would take enormous amounts of time. I felt it would be hundreds of years before anything even remotely like a human mind would be asymptotically approaching the level of the human mind, but from beneath.

But one thing that has completely surprised me is that these LLMs and other systems like them are all feed-forward. It's like the firing of the neurons is going only in one direction. And I would never have thought that deep thinking could come out of a network that only goes in one direction, out of firing neurons in only one direction. And that doesn't make sense to me, but that just shows that I'm naive.

It also makes me feel that maybe the human mind is not so mysterious and complex and impenetrably complex as I imagined it was when I was writing Gödel, Escher, Bach and writing I Am a Strange Loop. I felt at those times, quite a number of years ago, that as I say, we were very far away from reaching anything computational that could possibly rival us. It was getting more fluid, but I didn't think it was going to happen, you know, within a very short time.

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cross-posted from: https://lemmy.world/post/955996

Prominent international brands are unintentionally funding low-quality AI content platforms. Major banks, consumer tech companies, and a Silicon Valley platform are some of the key contributors. Their advertising efforts indirectly fund these platforms, which mainly rely on programmatic advertising revenue.

  • NewsGuard identified hundreds of Fortune 500 companies unknowingly advertising on these sites.
  • The financial support from these companies boosts the financial incentive of low-quality AI content creators.

Emergence of AI Content Farms: AI tools are making it easier to set up and fill websites with massive amounts of content. OpenAI's ChatGPT is a tool used to generate text on a large scale, which has contributed to the rise of these low-quality content farms.

  • The scale of these operations is significant, with some websites generating hundreds of articles a day.
  • The low quality and potential for misinformation does not deter these operations, and the ads from legitimate companies could lend undeserved credibility.

Google's Role: Google and its advertising arm play a crucial role in the viability of the AI spam business model. Over 90% of ads on these low-quality websites were served by Google Ads, which indicates a problem in Google's ad policy enforcement.

Source (Futurism)

PS: I run a ML-powered news aggregator that summarizes with an AI the best tech news from 50+ media (TheVerge, TechCrunch…). If you liked this analysis, you’ll love the content you’ll receive from this tool!

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cross-posted from: https://lemmy.world/post/922636

One man designs AI-powered chatbot to mess with telemarketers and phone scammers.

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