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ikt@aussie.zone to LocalLLaMA@sh.itjust.worksEnglish · 3 days ago

Apple needs to spend real money to bring in outside talent — and that likely means acquiring a leading AI startup. It has already kicked the tires on Perplexity and will seriously consider Mistral

www.bloomberg.com

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Apple needs to spend real money to bring in outside talent — and that likely means acquiring a leading AI startup. It has already kicked the tires on Perplexity and will seriously consider Mistral

www.bloomberg.com

ikt@aussie.zone to LocalLLaMA@sh.itjust.worksEnglish · 3 days ago
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Bloomberg - Are you a robot?
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https://archive.md/SFoGf

pls no

  • wise_pancake
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    2 days ago

    I could see apple buying Anthropic.

    Apple has tech that would benefit Anthropic on speech to text/text to speech and Anthropic seems to align well with Apple’s corporate philosophy (at least the public version of it)

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

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Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they’re still using the same algorithms since <over 10 years ago>.

Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.

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