Spyke

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Accenture Just Capped Employees’ Claude Spending at $29 a Month. Some Were Spending $1,000

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We have a few dgx sparks in the office that are gathering dust right now because nobody wants to bother with them (and because IT doesn't allow them on the network because Linux is scary so they're a pain to get set up).

Matching the level of productivity of frontier models on the local models is possible to a limited degree (depending on the exact task), but takes getting used to. For the local models you have to lean into the fact that tokens are 'free' so its fine to burn a lot of them. (Whereas with frontier models the recommendation is to take a higher model for complex tasks because a lower would take more tries to get it right)

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Punch Time

Clarification vs adaptation makes a huge difference in book translations. I don't envy the translators having to translate witty jokes/references that really only work in the original language

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ai was good for one thing

Not sure if it's what the screenshot used (all these translator UIs look the same), but Kagi has a translator that allows putting arbitrary language in the language select box. Backed by a slop factory of course.

Fun to play around with and post screenshots I suppose, though I fail to see the use beyond that.

memes

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ML research

To be fair an argument can be made for the Lego block one, using a novel combination of existing technologies to get better results is how nearly all innovation happens in machine learning.